Mayotte DroneMD (Metadata) Notebook
This notebook aims to understand how to: - generate flight report from drone data (i.e: acquired with DJI Mavic 2 Pro) - generate Metadata to publish to Zenodo and SDI platform (flight reports and csv's entities are separated to allow on site generation and deeper analysis when back to office) - publish to Zenodo to obtain DOI on RAW data - process in WebODM (OpenDroneMap) - download results from OpenDroneMap - publish a new DOI version on Zenodo with generated output from photogrammetryCommon variables:
[95]:
# Script folder
dronemdt_folder = '/home/sylvain/DroneMDT'
# Session / Flight data input
input = '/media/HDD5To/DATA/MayotteFMR'
# Output geoflow config (json and csv entities)
output = '/media/HDD5To/DATA/MayotteFMR'
# Geoflow folder where .env is stored and jobs will be available
geoflow_folder = '/home/sylvain/geoflow-g2oi'
# Geoserver configuration
WS = 'ENTROPIE'
DS = 'mayottefmr'
# Zenodo setup
sandbox = False
# Move to dronemdt_folder
import os
os.chdir(dronemdt_folder)
Part 1a: Check images validity
[2]:
# DATA have to be copied from Drone internal storage or sdcard DCIM folder using suh naming convention:
# YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number
# ├── DCIM : folder to store videos and photos depending on the media collected
#
# Check validity of images copied from Drone to disk
[3]:
from check_images import *
img_list = im_list(input)
for i in range(len(img_list)):
check_image_with_pil(img_list[i])
Part 1b: Generate report
[4]:
## Using subprocess:
import subprocess
subprocess.check_output(["Rscript", "./generate_drone_metadata.R", input])
# from rpy2.robjects.packages import importr
Loading required package: magrittr
uasimg (version 1.8.3)
Bug reports: https://github.com/ucanr-igis/uasimg/issues
[4]:
b'[1] "/home/sylvain/DATA/MayotteFMR"\n'
Part 2: Generate metadata
[87]:
# Import packages and modules
import os
import shutil
import pandas as pd
import geopandas as gpd
import datetime
# from IPython.display import display
import argparse
import json
import pycountry
os.chdir(dronemdt_folder)
from meteo_helper import meteo
from read_metadata import *
from exif_helper import *
from enriched_func import *
from zenodo_helper import *
from zip_helper import *
from geoflow_helper import *
from raster_helper import *
from process_webodm import *
from settings import *
import hashlib
%load_ext autoreload
%autoreload 2
The autoreload extension is already loaded. To reload it, use:
%reload_ext autoreload
[6]:
### Filter foder name
folder_name = filter_folder_name(input, 'UAV')
folder_name
[6]:
['20220914_MYT-aeroport_UAV-02_3',
'20220911_MYT-aeroport_UAV-02_2',
'20220910_MYT-musicalplage_UAV-02_1',
'20220912_MYT-surprise_UAV-02_2',
'20220911_MYT-jollyroger_UAV-02_1',
'20220911_MYT-aeroport_UAV-02_1',
'20220912_MYT-surprise_UAV-02_3',
'20220914_MYT-ile-blanche_UAV-02_2',
'20220910_MYT-jolly-roger_UAV-02_3',
'20220913_MYT-ngouja_UAV-02_2',
'20220910_MYT-jollyroger_UAV-02_2',
'20220913_MYT-jollyroger_UAV-02_1',
'20220914_MYT-aeroport_UAV-02_1',
'20220913_MYT-ngouja_UAV-02_3',
'20220912_MYT-ile-blanche_UAV-02_1',
'20220911_MYT-jollyroger_UAV-02_2',
'20220911_MYT-musicalplage_UAV-02_3']
[7]:
### Put data in basic panda dataframe
df = {}
df = basic_geoflow_df(folder_name)
df.head()
[7]:
| Identifier | Title | Description | Subject | Creator | Date | Type | Language | SpatialCoverage | TemporalCoverage | Relation | Rights | Provenance | Format | Data | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 20220914_MYT-aeroport_UAV-02_3 | title:20220914 myt aeroport uav 02 3 | abstract:'No \n\ndescription\n!' | project:None | creator:None | publication:2023-10-11_\nedition:2023-10-11 | dataset | eng | MYT-aeroport | None | useLimitation:Utilisation libre sous réserve de mentionner la source (a minima le nom du producteur) ... | None | resource:image/jpg | None | |
| 1 | 20220911_MYT-aeroport_UAV-02_2 | title:20220911 myt aeroport uav 02 2 | abstract:'No \n\ndescription\n!' | project:None | creator:None | publication:2023-10-11_\nedition:2023-10-11 | dataset | eng | MYT-aeroport | None | useLimitation:Utilisation libre sous réserve de mentionner la source (a minima le nom du producteur) ... | None | resource:image/jpg | None | |
| 2 | 20220910_MYT-musicalplage_UAV-02_1 | title:20220910 myt musicalplage uav 02 1 | abstract:'No \n\ndescription\n!' | project:None | creator:None | publication:2023-10-11_\nedition:2023-10-11 | dataset | eng | MYT-aeroport | None | useLimitation:Utilisation libre sous réserve de mentionner la source (a minima le nom du producteur) ... | None | resource:image/jpg | None | |
| 3 | 20220912_MYT-surprise_UAV-02_2 | title:20220912 myt surprise uav 02 2 | abstract:'No \n\ndescription\n!' | project:None | creator:None | publication:2023-10-11_\nedition:2023-10-11 | dataset | eng | MYT-aeroport | None | useLimitation:Utilisation libre sous réserve de mentionner la source (a minima le nom du producteur) ... | None | resource:image/jpg | None | |
| 4 | 20220911_MYT-jollyroger_UAV-02_1 | title:20220911 myt jollyroger uav 02 1 | abstract:'No \n\ndescription\n!' | project:None | creator:None | publication:2023-10-11_\nedition:2023-10-11 | dataset | eng | MYT-aeroport | None | useLimitation:Utilisation libre sous réserve de mentionner la source (a minima le nom du producteur) ... | None | resource:image/jpg | None |
[8]:
### Define Metadata file
md_file = 'metadata.txt'
### Parse global metadata
mdt_df_glob = global_mdt(input, md_file)
#### Enrich metadata
enrich_drone_mdt(input, df, md_file, mdt_df_glob)
INFO: Global `metadata.txt` found !
WARN: No metadata.txt in /home/sylvain/DATA/MayotteFMR/20220914_MYT-aeroport_UAV-02_3/METADATA to parse
INFO: Create GPS folder
Format id to obtain date, country name, optionnal place, and platform
####################
### 2. Enrich Title
####################
INFO: Using glocal title
Images drone {platform}, {place}, {country} - {date}
format field
####################
### 8. Enrich Language
####################
INFO: Using glocal language
####################
### 4. Enrich Subject
####################
INFO: Using glocal theme
INFO: Using glocal project
####################
### 5. Enrich Creator
####################
INFO: Using glocal author
INFO: Using glocal publisher
INFO: Using glocal owner
INFO: Using glocal pointOfContact
INFO: Using glocal processor
####################
### 11. Enrich Relation
####################
INFO: Using glocal thumbnail
INFO: Using glocal http
####################
### Reading DCIM folder
####################
Extract image coordinates and thumbnails: it could takes some time !
/home/sylvain/DroneMDT/enriched_func.py:14: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`
enriched = df_global.iloc[0][keyword][0]
/home/sylvain/DATA/MayotteFMR/20220914_MYT-aeroport_UAV-02_3
Generate image with a set of images
####################
### 10. Enrich TemporalCoverage
####################
####################
### 00. Prepare Provenance (13) and Description (3)
####################
/home/sylvain/DATA/MayotteFMR/20220914_MYT-aeroport_UAV-02_3/DCIM/DJI_0051.JPG
####################
Fetching open-meteo
####################
Location: -12.8241352, 45.279152550000006
Begin: 2022-09-14 11-35-17 - End: 2022-09-14 11-49-42
Model: best_match
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 1994 0 1994 0 0 4674 0 --:--:-- --:--:-- --:--:-- 4669
Convert Dataframe to UTM
Index(['FileName', 'GPSLatitude', 'GPSLongitude', 'GPSAltitude',
'FlightRollDegree', 'FlightPitchDegree', 'FlightYawDegree',
'GimbalRollDegree', 'GimbalPitchDegree', 'GimbalYawDegree',
'ImageWidth', 'ImageLength', 'BitsPerSample', 'ImageDescription',
'Make', 'Model', 'Orientation', 'SamplesPerPixel', 'XResolution',
'YResolution', 'ResolutionUnit', 'Software', 'DateTime',
'YCbCrPositioning', 'ExifOffset', 'GPSVersionID', 'ThumbnailImageWidth',
'ThumbnailImageLength', 'ThumbnailCompression', 'ThumbnailXResolution',
'ThumbnailYResolution', 'ThumbnailResolutionUnit',
'ThumbnailJPEGInterchangeFormat',
'ThumbnailJPEGInterchangeFormatLength', 'ExposureTime', 'FNumber',
'ExposureProgram', 'ISOSpeedRatings', 'ExifVersion', 'DateTimeOriginal',
'DateTimeDigitized', 'ComponentsConfiguration', 'ExposureBiasValue',
'MaxApertureValue', 'MeteringMode', 'LightSource', 'Flash',
'FocalLength', 'FlashPixVersion', 'ColorSpace', 'ExifImageWidth',
'ExifImageLength', 'FileSource', 'SceneType', 'ExposureMode',
'WhiteBalance', 'DigitalZoomRatio', 'FocalLengthIn35mmFilm',
'SceneCaptureType', 'GainControl', 'Contrast', 'Saturation',
'Sharpness', 'DeviceSettingDescription', 'BodySerialNumber',
'ThumbnailImage'],
dtype='object')
Compute convex hull
Export BBOX to GPKG
Exporting geolocation files including thumbnails: it could take some time !
Exporting metadata.csv !
####################
### 13. Enrich Provenance
####################
####################
### 3. Enrich Description
####################
INFO: Using glocal abstract
INFO: Using glocal purpose
INFO: Using glocal info
INFO: Using glocal edition
└─ 20220914_MYT-aeroport_UAV-02_3
└─ DCIM
└─ GPS
└─ METADATA
└─ tb
####################
### 14. Enrich Formats
####################
####################
### 15. Enrich data
####################
####################
#### END ####
####################
WARN: No metadata.txt in /home/sylvain/DATA/MayotteFMR/20220911_MYT-aeroport_UAV-02_2/METADATA to parse
INFO: Create GPS folder
Format id to obtain date, country name, optionnal place, and platform
####################
### 2. Enrich Title
####################
INFO: Using glocal title
Images drone {platform}, {place}, {country} - {date}
format field
####################
### 8. Enrich Language
####################
INFO: Using glocal language
####################
### 4. Enrich Subject
####################
INFO: Using glocal theme
INFO: Using glocal project
####################
### 5. Enrich Creator
####################
INFO: Using glocal author
INFO: Using glocal publisher
INFO: Using glocal owner
INFO: Using glocal pointOfContact
INFO: Using glocal processor
####################
### 11. Enrich Relation
####################
INFO: Using glocal thumbnail
INFO: Using glocal http
####################
### Reading DCIM folder
####################
Extract image coordinates and thumbnails: it could takes some time !
/home/sylvain/DroneMDT/enriched_func.py:14: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`
enriched = df_global.iloc[0][keyword][0]
/home/sylvain/DATA/MayotteFMR/20220911_MYT-aeroport_UAV-02_2
Generate image with a set of images
####################
### 10. Enrich TemporalCoverage
####################
####################
### 00. Prepare Provenance (13) and Description (3)
####################
/home/sylvain/DATA/MayotteFMR/20220911_MYT-aeroport_UAV-02_2/DCIM/DJI_0968.JPG
####################
Fetching open-meteo
####################
Location: -12.82260885, 45.2780597
Begin: 2022-09-11 15-18-37 - End: 2022-09-11 15-26-13
Model: best_match
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 1967 0 1967 0 0 7472 0 --:--:-- --:--:-- --:--:-- 7479
Convert Dataframe to UTM
Index(['FileName', 'GPSLatitude', 'GPSLongitude', 'GPSAltitude',
'FlightRollDegree', 'FlightPitchDegree', 'FlightYawDegree',
'GimbalRollDegree', 'GimbalPitchDegree', 'GimbalYawDegree',
'ImageWidth', 'ImageLength', 'BitsPerSample', 'ImageDescription',
'Make', 'Model', 'Orientation', 'SamplesPerPixel', 'XResolution',
'YResolution', 'ResolutionUnit', 'Software', 'DateTime',
'YCbCrPositioning', 'ExifOffset', 'GPSVersionID', 'ThumbnailImageWidth',
'ThumbnailImageLength', 'ThumbnailCompression', 'ThumbnailXResolution',
'ThumbnailYResolution', 'ThumbnailResolutionUnit',
'ThumbnailJPEGInterchangeFormat',
'ThumbnailJPEGInterchangeFormatLength', 'ExposureTime', 'FNumber',
'ExposureProgram', 'ISOSpeedRatings', 'ExifVersion', 'DateTimeOriginal',
'DateTimeDigitized', 'ComponentsConfiguration', 'ExposureBiasValue',
'MaxApertureValue', 'MeteringMode', 'LightSource', 'Flash',
'FocalLength', 'FlashPixVersion', 'ColorSpace', 'ExifImageWidth',
'ExifImageLength', 'FileSource', 'SceneType', 'ExposureMode',
'WhiteBalance', 'DigitalZoomRatio', 'FocalLengthIn35mmFilm',
'SceneCaptureType', 'GainControl', 'Contrast', 'Saturation',
'Sharpness', 'DeviceSettingDescription', 'BodySerialNumber',
'ThumbnailImage'],
dtype='object')
Compute convex hull
Export BBOX to GPKG
Exporting geolocation files including thumbnails: it could take some time !
Exporting metadata.csv !
####################
### 13. Enrich Provenance
####################
####################
### 3. Enrich Description
####################
INFO: Using glocal abstract
INFO: Using glocal purpose
INFO: Using glocal info
INFO: Using glocal edition
└─ 20220911_MYT-aeroport_UAV-02_2
└─ DCIM
└─ GPS
└─ METADATA
└─ tb
####################
### 14. Enrich Formats
####################
####################
### 15. Enrich data
####################
####################
#### END ####
####################
WARN: No metadata.txt in /home/sylvain/DATA/MayotteFMR/20220910_MYT-musicalplage_UAV-02_1/METADATA to parse
INFO: Create GPS folder
Format id to obtain date, country name, optionnal place, and platform
####################
### 2. Enrich Title
####################
INFO: Using glocal title
Images drone {platform}, {place}, {country} - {date}
format field
####################
### 8. Enrich Language
####################
INFO: Using glocal language
####################
### 4. Enrich Subject
####################
INFO: Using glocal theme
INFO: Using glocal project
####################
### 5. Enrich Creator
####################
INFO: Using glocal author
INFO: Using glocal publisher
INFO: Using glocal owner
INFO: Using glocal pointOfContact
INFO: Using glocal processor
####################
### 11. Enrich Relation
####################
INFO: Using glocal thumbnail
INFO: Using glocal http
####################
### Reading DCIM folder
####################
Extract image coordinates and thumbnails: it could takes some time !
/home/sylvain/DroneMDT/enriched_func.py:14: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`
enriched = df_global.iloc[0][keyword][0]
/home/sylvain/DATA/MayotteFMR/20220910_MYT-musicalplage_UAV-02_1
Generate image with a set of images
####################
### 10. Enrich TemporalCoverage
####################
####################
### 00. Prepare Provenance (13) and Description (3)
####################
/home/sylvain/DATA/MayotteFMR/20220910_MYT-musicalplage_UAV-02_1/DCIM/DJI_0732.JPG
####################
Fetching open-meteo
####################
Location: -12.919668649999998, 45.185954699999996
Begin: 2022-09-10 11-00-06 - End: 2022-09-10 11-07-35
Model: best_match
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 1978 0 1978 0 0 6085 0 --:--:-- --:--:-- --:--:-- 6086
Convert Dataframe to UTM
Index(['FileName', 'GPSLatitude', 'GPSLongitude', 'GPSAltitude',
'FlightRollDegree', 'FlightPitchDegree', 'FlightYawDegree',
'GimbalRollDegree', 'GimbalPitchDegree', 'GimbalYawDegree',
'ImageWidth', 'ImageLength', 'BitsPerSample', 'ImageDescription',
'Make', 'Model', 'Orientation', 'SamplesPerPixel', 'XResolution',
'YResolution', 'ResolutionUnit', 'Software', 'DateTime',
'YCbCrPositioning', 'ExifOffset', 'GPSVersionID', 'ThumbnailImageWidth',
'ThumbnailImageLength', 'ThumbnailCompression', 'ThumbnailXResolution',
'ThumbnailYResolution', 'ThumbnailResolutionUnit',
'ThumbnailJPEGInterchangeFormat',
'ThumbnailJPEGInterchangeFormatLength', 'ExposureTime', 'FNumber',
'ExposureProgram', 'ISOSpeedRatings', 'ExifVersion', 'DateTimeOriginal',
'DateTimeDigitized', 'ComponentsConfiguration', 'ExposureBiasValue',
'MaxApertureValue', 'MeteringMode', 'LightSource', 'Flash',
'FocalLength', 'FlashPixVersion', 'ColorSpace', 'ExifImageWidth',
'ExifImageLength', 'FileSource', 'SceneType', 'ExposureMode',
'WhiteBalance', 'DigitalZoomRatio', 'FocalLengthIn35mmFilm',
'SceneCaptureType', 'GainControl', 'Contrast', 'Saturation',
'Sharpness', 'DeviceSettingDescription', 'BodySerialNumber',
'ThumbnailImage'],
dtype='object')
Compute convex hull
Export BBOX to GPKG
Exporting geolocation files including thumbnails: it could take some time !
Exporting metadata.csv !
####################
### 13. Enrich Provenance
####################
####################
### 3. Enrich Description
####################
INFO: Using glocal abstract
INFO: Using glocal purpose
INFO: Using glocal info
INFO: Using glocal edition
└─ 20220910_MYT-musicalplage_UAV-02_1
└─ DCIM
└─ GPS
└─ METADATA
└─ tb
####################
### 14. Enrich Formats
####################
####################
### 15. Enrich data
####################
####################
#### END ####
####################
WARN: No metadata.txt in /home/sylvain/DATA/MayotteFMR/20220912_MYT-surprise_UAV-02_2/METADATA to parse
INFO: Create GPS folder
Format id to obtain date, country name, optionnal place, and platform
####################
### 2. Enrich Title
####################
INFO: Using glocal title
Images drone {platform}, {place}, {country} - {date}
format field
####################
### 8. Enrich Language
####################
INFO: Using glocal language
####################
### 4. Enrich Subject
####################
INFO: Using glocal theme
INFO: Using glocal project
####################
### 5. Enrich Creator
####################
INFO: Using glocal author
INFO: Using glocal publisher
INFO: Using glocal owner
INFO: Using glocal pointOfContact
INFO: Using glocal processor
####################
### 11. Enrich Relation
####################
INFO: Using glocal thumbnail
INFO: Using glocal http
####################
### Reading DCIM folder
####################
Extract image coordinates and thumbnails: it could takes some time !
/home/sylvain/DroneMDT/enriched_func.py:14: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`
enriched = df_global.iloc[0][keyword][0]
/home/sylvain/DATA/MayotteFMR/20220912_MYT-surprise_UAV-02_2
Generate image with a set of images
####################
### 10. Enrich TemporalCoverage
####################
####################
### 00. Prepare Provenance (13) and Description (3)
####################
/home/sylvain/DATA/MayotteFMR/20220912_MYT-surprise_UAV-02_2/DCIM/DJI_0398.JPG
####################
Fetching open-meteo
####################
Location: -12.6304102, 45.1510169
Begin: 2022-09-12 12-31-19 - End: 2022-09-12 12-45-40
Model: best_match
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 1987 0 1987 0 0 5496 0 --:--:-- --:--:-- --:--:-- 5488
Convert Dataframe to UTM
Index(['FileName', 'GPSLatitude', 'GPSLongitude', 'GPSAltitude',
'FlightRollDegree', 'FlightPitchDegree', 'FlightYawDegree',
'GimbalRollDegree', 'GimbalPitchDegree', 'GimbalYawDegree',
'ImageWidth', 'ImageLength', 'BitsPerSample', 'ImageDescription',
'Make', 'Model', 'Orientation', 'SamplesPerPixel', 'XResolution',
'YResolution', 'ResolutionUnit', 'Software', 'DateTime',
'YCbCrPositioning', 'ExifOffset', 'GPSVersionID', 'ThumbnailImageWidth',
'ThumbnailImageLength', 'ThumbnailCompression', 'ThumbnailXResolution',
'ThumbnailYResolution', 'ThumbnailResolutionUnit',
'ThumbnailJPEGInterchangeFormat',
'ThumbnailJPEGInterchangeFormatLength', 'ExposureTime', 'FNumber',
'ExposureProgram', 'ISOSpeedRatings', 'ExifVersion', 'DateTimeOriginal',
'DateTimeDigitized', 'ComponentsConfiguration', 'ExposureBiasValue',
'MaxApertureValue', 'MeteringMode', 'LightSource', 'Flash',
'FocalLength', 'FlashPixVersion', 'ColorSpace', 'ExifImageWidth',
'ExifImageLength', 'FileSource', 'SceneType', 'ExposureMode',
'WhiteBalance', 'DigitalZoomRatio', 'FocalLengthIn35mmFilm',
'SceneCaptureType', 'GainControl', 'Contrast', 'Saturation',
'Sharpness', 'DeviceSettingDescription', 'BodySerialNumber',
'ThumbnailImage'],
dtype='object')
Compute convex hull
Export BBOX to GPKG
Exporting geolocation files including thumbnails: it could take some time !
Exporting metadata.csv !
####################
### 13. Enrich Provenance
####################
####################
### 3. Enrich Description
####################
INFO: Using glocal abstract
INFO: Using glocal purpose
INFO: Using glocal info
INFO: Using glocal edition
└─ 20220912_MYT-surprise_UAV-02_2
└─ DCIM
└─ GPS
└─ METADATA
└─ tb
####################
### 14. Enrich Formats
####################
####################
### 15. Enrich data
####################
####################
#### END ####
####################
WARN: No metadata.txt in /home/sylvain/DATA/MayotteFMR/20220911_MYT-jollyroger_UAV-02_1/METADATA to parse
INFO: Create GPS folder
Format id to obtain date, country name, optionnal place, and platform
####################
### 2. Enrich Title
####################
INFO: Using glocal title
Images drone {platform}, {place}, {country} - {date}
format field
####################
### 8. Enrich Language
####################
INFO: Using glocal language
####################
### 4. Enrich Subject
####################
INFO: Using glocal theme
INFO: Using glocal project
####################
### 5. Enrich Creator
####################
INFO: Using glocal author
INFO: Using glocal publisher
INFO: Using glocal owner
INFO: Using glocal pointOfContact
INFO: Using glocal processor
####################
### 11. Enrich Relation
####################
INFO: Using glocal thumbnail
INFO: Using glocal http
####################
### Reading DCIM folder
####################
Extract image coordinates and thumbnails: it could takes some time !
/home/sylvain/DroneMDT/enriched_func.py:14: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`
enriched = df_global.iloc[0][keyword][0]
/home/sylvain/DATA/MayotteFMR/20220911_MYT-jollyroger_UAV-02_1
Generate image with a set of images
####################
### 10. Enrich TemporalCoverage
####################
####################
### 00. Prepare Provenance (13) and Description (3)
####################
/home/sylvain/DATA/MayotteFMR/20220911_MYT-jollyroger_UAV-02_1/DCIM/DJI_0188.JPG
####################
Fetching open-meteo
####################
Location: -12.8901407, 45.2148828
Begin: 2022-09-11 08-37-19 - End: 2022-09-11 08-55-09
Model: best_match
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 1968 0 1968 0 0 7078 0 --:--:-- --:--:-- --:--:-- 7104
Convert Dataframe to UTM
Index(['FileName', 'GPSLatitude', 'GPSLongitude', 'GPSAltitude',
'FlightRollDegree', 'FlightPitchDegree', 'FlightYawDegree',
'GimbalRollDegree', 'GimbalPitchDegree', 'GimbalYawDegree',
'ImageWidth', 'ImageLength', 'BitsPerSample', 'ImageDescription',
'Make', 'Model', 'Orientation', 'SamplesPerPixel', 'XResolution',
'YResolution', 'ResolutionUnit', 'Software', 'DateTime',
'YCbCrPositioning', 'ExifOffset', 'GPSVersionID', 'ThumbnailImageWidth',
'ThumbnailImageLength', 'ThumbnailCompression', 'ThumbnailXResolution',
'ThumbnailYResolution', 'ThumbnailResolutionUnit',
'ThumbnailJPEGInterchangeFormat',
'ThumbnailJPEGInterchangeFormatLength', 'ExposureTime', 'FNumber',
'ExposureProgram', 'ISOSpeedRatings', 'ExifVersion', 'DateTimeOriginal',
'DateTimeDigitized', 'ComponentsConfiguration', 'ExposureBiasValue',
'MaxApertureValue', 'MeteringMode', 'LightSource', 'Flash',
'FocalLength', 'FlashPixVersion', 'ColorSpace', 'ExifImageWidth',
'ExifImageLength', 'FileSource', 'SceneType', 'ExposureMode',
'WhiteBalance', 'DigitalZoomRatio', 'FocalLengthIn35mmFilm',
'SceneCaptureType', 'GainControl', 'Contrast', 'Saturation',
'Sharpness', 'DeviceSettingDescription', 'BodySerialNumber',
'ThumbnailImage'],
dtype='object')
Compute convex hull
Export BBOX to GPKG
Exporting geolocation files including thumbnails: it could take some time !
Exporting metadata.csv !
####################
### 13. Enrich Provenance
####################
####################
### 3. Enrich Description
####################
INFO: Using glocal abstract
INFO: Using glocal purpose
INFO: Using glocal info
INFO: Using glocal edition
└─ 20220911_MYT-jollyroger_UAV-02_1
└─ DCIM
└─ mer
└─ GPS
└─ METADATA
└─ tb
####################
### 14. Enrich Formats
####################
####################
### 15. Enrich data
####################
####################
#### END ####
####################
WARN: No metadata.txt in /home/sylvain/DATA/MayotteFMR/20220911_MYT-aeroport_UAV-02_1/METADATA to parse
INFO: Create GPS folder
Format id to obtain date, country name, optionnal place, and platform
####################
### 2. Enrich Title
####################
INFO: Using glocal title
Images drone {platform}, {place}, {country} - {date}
format field
####################
### 8. Enrich Language
####################
INFO: Using glocal language
####################
### 4. Enrich Subject
####################
INFO: Using glocal theme
INFO: Using glocal project
####################
### 5. Enrich Creator
####################
INFO: Using glocal author
INFO: Using glocal publisher
INFO: Using glocal owner
INFO: Using glocal pointOfContact
INFO: Using glocal processor
####################
### 11. Enrich Relation
####################
INFO: Using glocal thumbnail
INFO: Using glocal http
####################
### Reading DCIM folder
####################
Extract image coordinates and thumbnails: it could takes some time !
/home/sylvain/DroneMDT/enriched_func.py:14: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`
enriched = df_global.iloc[0][keyword][0]
/home/sylvain/DATA/MayotteFMR/20220911_MYT-aeroport_UAV-02_1
Generate image with a set of images
####################
### 10. Enrich TemporalCoverage
####################
####################
### 00. Prepare Provenance (13) and Description (3)
####################
/home/sylvain/DATA/MayotteFMR/20220911_MYT-aeroport_UAV-02_1/DCIM/DJI_0463.JPG
####################
Fetching open-meteo
####################
Location: -12.824847850000001, 45.28013775
Begin: 2022-09-11 14-18-26 - End: 2022-09-11 14-33-31
Model: best_match
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 1967 0 1967 0 0 7384 0 --:--:-- --:--:-- --:--:-- 7367
Convert Dataframe to UTM
Index(['FileName', 'GPSLatitude', 'GPSLongitude', 'GPSAltitude',
'FlightRollDegree', 'FlightPitchDegree', 'FlightYawDegree',
'GimbalRollDegree', 'GimbalPitchDegree', 'GimbalYawDegree',
'ImageWidth', 'ImageLength', 'BitsPerSample', 'ImageDescription',
'Make', 'Model', 'Orientation', 'SamplesPerPixel', 'XResolution',
'YResolution', 'ResolutionUnit', 'Software', 'DateTime',
'YCbCrPositioning', 'ExifOffset', 'GPSVersionID', 'ThumbnailImageWidth',
'ThumbnailImageLength', 'ThumbnailCompression', 'ThumbnailXResolution',
'ThumbnailYResolution', 'ThumbnailResolutionUnit',
'ThumbnailJPEGInterchangeFormat',
'ThumbnailJPEGInterchangeFormatLength', 'ExposureTime', 'FNumber',
'ExposureProgram', 'ISOSpeedRatings', 'ExifVersion', 'DateTimeOriginal',
'DateTimeDigitized', 'ComponentsConfiguration', 'ExposureBiasValue',
'MaxApertureValue', 'MeteringMode', 'LightSource', 'Flash',
'FocalLength', 'FlashPixVersion', 'ColorSpace', 'ExifImageWidth',
'ExifImageLength', 'FileSource', 'SceneType', 'ExposureMode',
'WhiteBalance', 'DigitalZoomRatio', 'FocalLengthIn35mmFilm',
'SceneCaptureType', 'GainControl', 'Contrast', 'Saturation',
'Sharpness', 'DeviceSettingDescription', 'BodySerialNumber',
'ThumbnailImage'],
dtype='object')
Compute convex hull
Export BBOX to GPKG
Exporting geolocation files including thumbnails: it could take some time !
Exporting metadata.csv !
####################
### 13. Enrich Provenance
####################
####################
### 3. Enrich Description
####################
INFO: Using glocal abstract
INFO: Using glocal purpose
INFO: Using glocal info
INFO: Using glocal edition
└─ 20220911_MYT-aeroport_UAV-02_1
└─ DCIM
└─ GPS
└─ METADATA
└─ tb
####################
### 14. Enrich Formats
####################
####################
### 15. Enrich data
####################
####################
#### END ####
####################
WARN: No metadata.txt in /home/sylvain/DATA/MayotteFMR/20220912_MYT-surprise_UAV-02_3/METADATA to parse
INFO: Create GPS folder
Format id to obtain date, country name, optionnal place, and platform
####################
### 2. Enrich Title
####################
INFO: Using glocal title
Images drone {platform}, {place}, {country} - {date}
format field
####################
### 8. Enrich Language
####################
INFO: Using glocal language
####################
### 4. Enrich Subject
####################
INFO: Using glocal theme
INFO: Using glocal project
####################
### 5. Enrich Creator
####################
INFO: Using glocal author
INFO: Using glocal publisher
INFO: Using glocal owner
INFO: Using glocal pointOfContact
INFO: Using glocal processor
####################
### 11. Enrich Relation
####################
INFO: Using glocal thumbnail
INFO: Using glocal http
####################
### Reading DCIM folder
####################
Extract image coordinates and thumbnails: it could takes some time !
/home/sylvain/DroneMDT/enriched_func.py:14: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`
enriched = df_global.iloc[0][keyword][0]
/home/sylvain/DATA/MayotteFMR/20220912_MYT-surprise_UAV-02_3
Generate image with a set of images
####################
### 10. Enrich TemporalCoverage
####################
####################
### 00. Prepare Provenance (13) and Description (3)
####################
/home/sylvain/DATA/MayotteFMR/20220912_MYT-surprise_UAV-02_3/DCIM/DJI_0735.JPG
####################
Fetching open-meteo
####################
Location: -12.6301784, 45.1511208
Begin: 2022-09-12 14-29-06 - End: 2022-09-12 14-43-35
Model: best_match
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 1986 0 1986 0 0 6529 0 --:--:-- --:--:-- --:--:-- 6532
Convert Dataframe to UTM
Index(['FileName', 'GPSLatitude', 'GPSLongitude', 'GPSAltitude',
'FlightRollDegree', 'FlightPitchDegree', 'FlightYawDegree',
'GimbalRollDegree', 'GimbalPitchDegree', 'GimbalYawDegree',
'ImageWidth', 'ImageLength', 'BitsPerSample', 'ImageDescription',
'Make', 'Model', 'Orientation', 'SamplesPerPixel', 'XResolution',
'YResolution', 'ResolutionUnit', 'Software', 'DateTime',
'YCbCrPositioning', 'ExifOffset', 'GPSVersionID', 'ThumbnailImageWidth',
'ThumbnailImageLength', 'ThumbnailCompression', 'ThumbnailXResolution',
'ThumbnailYResolution', 'ThumbnailResolutionUnit',
'ThumbnailJPEGInterchangeFormat',
'ThumbnailJPEGInterchangeFormatLength', 'ExposureTime', 'FNumber',
'ExposureProgram', 'ISOSpeedRatings', 'ExifVersion', 'DateTimeOriginal',
'DateTimeDigitized', 'ComponentsConfiguration', 'ExposureBiasValue',
'MaxApertureValue', 'MeteringMode', 'LightSource', 'Flash',
'FocalLength', 'FlashPixVersion', 'ColorSpace', 'ExifImageWidth',
'ExifImageLength', 'FileSource', 'SceneType', 'ExposureMode',
'WhiteBalance', 'DigitalZoomRatio', 'FocalLengthIn35mmFilm',
'SceneCaptureType', 'GainControl', 'Contrast', 'Saturation',
'Sharpness', 'DeviceSettingDescription', 'BodySerialNumber',
'ThumbnailImage'],
dtype='object')
Compute convex hull
Export BBOX to GPKG
Exporting geolocation files including thumbnails: it could take some time !
Exporting metadata.csv !
####################
### 13. Enrich Provenance
####################
####################
### 3. Enrich Description
####################
INFO: Using glocal abstract
INFO: Using glocal purpose
INFO: Using glocal info
INFO: Using glocal edition
└─ 20220912_MYT-surprise_UAV-02_3
└─ DCIM
└─ GPS
└─ METADATA
└─ tb
####################
### 14. Enrich Formats
####################
####################
### 15. Enrich data
####################
####################
#### END ####
####################
WARN: No metadata.txt in /home/sylvain/DATA/MayotteFMR/20220914_MYT-ile-blanche_UAV-02_2/METADATA to parse
INFO: Create GPS folder
Format id to obtain date, country name, optionnal place, and platform
####################
### 2. Enrich Title
####################
INFO: Using glocal title
Images drone {platform}, {place}, {country} - {date}
format field
####################
### 8. Enrich Language
####################
INFO: Using glocal language
####################
### 4. Enrich Subject
####################
INFO: Using glocal theme
INFO: Using glocal project
####################
### 5. Enrich Creator
####################
INFO: Using glocal author
INFO: Using glocal publisher
INFO: Using glocal owner
INFO: Using glocal pointOfContact
INFO: Using glocal processor
####################
### 11. Enrich Relation
####################
INFO: Using glocal thumbnail
INFO: Using glocal http
####################
### Reading DCIM folder
####################
Extract image coordinates and thumbnails: it could takes some time !
/home/sylvain/DroneMDT/enriched_func.py:14: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`
enriched = df_global.iloc[0][keyword][0]
/home/sylvain/DATA/MayotteFMR/20220914_MYT-ile-blanche_UAV-02_2
Generate image with a set of images
####################
### 10. Enrich TemporalCoverage
####################
####################
### 00. Prepare Provenance (13) and Description (3)
####################
/home/sylvain/DATA/MayotteFMR/20220914_MYT-ile-blanche_UAV-02_2/DCIM/DJI_0724.JPG
####################
Fetching open-meteo
####################
Location: -12.715397150000001, 45.17200365
Begin: 2022-09-14 10-19-27 - End: 2022-09-14 10-33-56
Model: best_match
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 1994 0 1994 0 0 7429 0 --:--:-- --:--:-- --:--:-- 7412
Convert Dataframe to UTM
Index(['FileName', 'GPSLatitude', 'GPSLongitude', 'GPSAltitude',
'FlightRollDegree', 'FlightPitchDegree', 'FlightYawDegree',
'GimbalRollDegree', 'GimbalPitchDegree', 'GimbalYawDegree',
'ImageWidth', 'ImageLength', 'BitsPerSample', 'ImageDescription',
'Make', 'Model', 'Orientation', 'SamplesPerPixel', 'XResolution',
'YResolution', 'ResolutionUnit', 'Software', 'DateTime',
'YCbCrPositioning', 'ExifOffset', 'GPSVersionID', 'ThumbnailImageWidth',
'ThumbnailImageLength', 'ThumbnailCompression', 'ThumbnailXResolution',
'ThumbnailYResolution', 'ThumbnailResolutionUnit',
'ThumbnailJPEGInterchangeFormat',
'ThumbnailJPEGInterchangeFormatLength', 'ExposureTime', 'FNumber',
'ExposureProgram', 'ISOSpeedRatings', 'ExifVersion', 'DateTimeOriginal',
'DateTimeDigitized', 'ComponentsConfiguration', 'ExposureBiasValue',
'MaxApertureValue', 'MeteringMode', 'LightSource', 'Flash',
'FocalLength', 'FlashPixVersion', 'ColorSpace', 'ExifImageWidth',
'ExifImageLength', 'FileSource', 'SceneType', 'ExposureMode',
'WhiteBalance', 'DigitalZoomRatio', 'FocalLengthIn35mmFilm',
'SceneCaptureType', 'GainControl', 'Contrast', 'Saturation',
'Sharpness', 'DeviceSettingDescription', 'BodySerialNumber',
'ThumbnailImage'],
dtype='object')
Compute convex hull
Export BBOX to GPKG
Exporting geolocation files including thumbnails: it could take some time !
Exporting metadata.csv !
####################
### 13. Enrich Provenance
####################
####################
### 3. Enrich Description
####################
INFO: Using glocal abstract
INFO: Using glocal purpose
INFO: Using glocal info
INFO: Using glocal edition
└─ 20220914_MYT-ile-blanche_UAV-02_2
└─ DCIM
└─ GPS
└─ METADATA
└─ tb
####################
### 14. Enrich Formats
####################
####################
### 15. Enrich data
####################
####################
#### END ####
####################
WARN: No metadata.txt in /home/sylvain/DATA/MayotteFMR/20220910_MYT-jolly-roger_UAV-02_3/METADATA to parse
INFO: Create GPS folder
Format id to obtain date, country name, optionnal place, and platform
####################
### 2. Enrich Title
####################
INFO: Using glocal title
Images drone {platform}, {place}, {country} - {date}
format field
####################
### 8. Enrich Language
####################
INFO: Using glocal language
####################
### 4. Enrich Subject
####################
INFO: Using glocal theme
INFO: Using glocal project
####################
### 5. Enrich Creator
####################
INFO: Using glocal author
INFO: Using glocal publisher
INFO: Using glocal owner
INFO: Using glocal pointOfContact
INFO: Using glocal processor
####################
### 11. Enrich Relation
####################
INFO: Using glocal thumbnail
INFO: Using glocal http
####################
### Reading DCIM folder
####################
Extract image coordinates and thumbnails: it could takes some time !
/home/sylvain/DroneMDT/enriched_func.py:14: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`
enriched = df_global.iloc[0][keyword][0]
/home/sylvain/DATA/MayotteFMR/20220910_MYT-jolly-roger_UAV-02_3
Generate image with a set of images
####################
### 10. Enrich TemporalCoverage
####################
####################
### 00. Prepare Provenance (13) and Description (3)
####################
/home/sylvain/DATA/MayotteFMR/20220910_MYT-jolly-roger_UAV-02_3/DCIM/DJI_0034.JPG
####################
Fetching open-meteo
####################
Location: -12.88932935, 45.2149768
Begin: 2022-09-10 12-48-38 - End: 2022-09-10 13-01-33
Model: best_match
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 1978 0 1978 0 0 7600 0 --:--:-- --:--:-- --:--:-- 7607
Convert Dataframe to UTM
Index(['FileName', 'GPSLatitude', 'GPSLongitude', 'GPSAltitude',
'FlightRollDegree', 'FlightPitchDegree', 'FlightYawDegree',
'GimbalRollDegree', 'GimbalPitchDegree', 'GimbalYawDegree',
'ImageWidth', 'ImageLength', 'BitsPerSample', 'ImageDescription',
'Make', 'Model', 'Orientation', 'SamplesPerPixel', 'XResolution',
'YResolution', 'ResolutionUnit', 'Software', 'DateTime',
'YCbCrPositioning', 'ExifOffset', 'GPSVersionID', 'ThumbnailImageWidth',
'ThumbnailImageLength', 'ThumbnailCompression', 'ThumbnailXResolution',
'ThumbnailYResolution', 'ThumbnailResolutionUnit',
'ThumbnailJPEGInterchangeFormat',
'ThumbnailJPEGInterchangeFormatLength', 'ExposureTime', 'FNumber',
'ExposureProgram', 'ISOSpeedRatings', 'ExifVersion', 'DateTimeOriginal',
'DateTimeDigitized', 'ComponentsConfiguration', 'ExposureBiasValue',
'MaxApertureValue', 'MeteringMode', 'LightSource', 'Flash',
'FocalLength', 'FlashPixVersion', 'ColorSpace', 'ExifImageWidth',
'ExifImageLength', 'FileSource', 'SceneType', 'ExposureMode',
'WhiteBalance', 'DigitalZoomRatio', 'FocalLengthIn35mmFilm',
'SceneCaptureType', 'GainControl', 'Contrast', 'Saturation',
'Sharpness', 'DeviceSettingDescription', 'BodySerialNumber',
'ThumbnailImage'],
dtype='object')
Compute convex hull
Export BBOX to GPKG
Exporting geolocation files including thumbnails: it could take some time !
Exporting metadata.csv !
####################
### 13. Enrich Provenance
####################
####################
### 3. Enrich Description
####################
INFO: Using glocal abstract
INFO: Using glocal purpose
INFO: Using glocal info
INFO: Using glocal edition
└─ 20220910_MYT-jolly-roger_UAV-02_3
└─ DCIM
└─ GPS
└─ METADATA
└─ tb
####################
### 14. Enrich Formats
####################
####################
### 15. Enrich data
####################
####################
#### END ####
####################
WARN: No metadata.txt in /home/sylvain/DATA/MayotteFMR/20220913_MYT-ngouja_UAV-02_2/METADATA to parse
INFO: Create GPS folder
Format id to obtain date, country name, optionnal place, and platform
####################
### 2. Enrich Title
####################
INFO: Using glocal title
Images drone {platform}, {place}, {country} - {date}
format field
####################
### 8. Enrich Language
####################
INFO: Using glocal language
####################
### 4. Enrich Subject
####################
INFO: Using glocal theme
INFO: Using glocal project
####################
### 5. Enrich Creator
####################
INFO: Using glocal author
INFO: Using glocal publisher
INFO: Using glocal owner
INFO: Using glocal pointOfContact
INFO: Using glocal processor
####################
### 11. Enrich Relation
####################
INFO: Using glocal thumbnail
INFO: Using glocal http
####################
### Reading DCIM folder
####################
Extract image coordinates and thumbnails: it could takes some time !
/home/sylvain/DroneMDT/enriched_func.py:14: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`
enriched = df_global.iloc[0][keyword][0]
/home/sylvain/DATA/MayotteFMR/20220913_MYT-ngouja_UAV-02_2
Generate image with a set of images
####################
### 10. Enrich TemporalCoverage
####################
####################
### 00. Prepare Provenance (13) and Description (3)
####################
/home/sylvain/DATA/MayotteFMR/20220913_MYT-ngouja_UAV-02_2/DCIM/DJI_0732.JPG
####################
Fetching open-meteo
####################
Location: -12.964759350000001, 45.0851428
Begin: 2022-09-13 14-41-28 - End: 2022-09-13 14-55-42
Model: best_match
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 1984 0 1984 0 0 7191 0 --:--:-- --:--:-- --:--:-- 7214
Convert Dataframe to UTM
Index(['FileName', 'GPSLatitude', 'GPSLongitude', 'GPSAltitude',
'FlightRollDegree', 'FlightPitchDegree', 'FlightYawDegree',
'GimbalRollDegree', 'GimbalPitchDegree', 'GimbalYawDegree',
'ImageWidth', 'ImageLength', 'BitsPerSample', 'ImageDescription',
'Make', 'Model', 'Orientation', 'SamplesPerPixel', 'XResolution',
'YResolution', 'ResolutionUnit', 'Software', 'DateTime',
'YCbCrPositioning', 'ExifOffset', 'GPSVersionID', 'ThumbnailImageWidth',
'ThumbnailImageLength', 'ThumbnailCompression', 'ThumbnailXResolution',
'ThumbnailYResolution', 'ThumbnailResolutionUnit',
'ThumbnailJPEGInterchangeFormat',
'ThumbnailJPEGInterchangeFormatLength', 'ExposureTime', 'FNumber',
'ExposureProgram', 'ISOSpeedRatings', 'ExifVersion', 'DateTimeOriginal',
'DateTimeDigitized', 'ComponentsConfiguration', 'ExposureBiasValue',
'MaxApertureValue', 'MeteringMode', 'LightSource', 'Flash',
'FocalLength', 'FlashPixVersion', 'ColorSpace', 'ExifImageWidth',
'ExifImageLength', 'FileSource', 'SceneType', 'ExposureMode',
'WhiteBalance', 'DigitalZoomRatio', 'FocalLengthIn35mmFilm',
'SceneCaptureType', 'GainControl', 'Contrast', 'Saturation',
'Sharpness', 'DeviceSettingDescription', 'BodySerialNumber',
'ThumbnailImage'],
dtype='object')
Compute convex hull
Export BBOX to GPKG
Exporting geolocation files including thumbnails: it could take some time !
Exporting metadata.csv !
####################
### 13. Enrich Provenance
####################
####################
### 3. Enrich Description
####################
INFO: Using glocal abstract
INFO: Using glocal purpose
INFO: Using glocal info
INFO: Using glocal edition
└─ 20220913_MYT-ngouja_UAV-02_2
└─ DCIM
└─ GPS
└─ METADATA
└─ tb
####################
### 14. Enrich Formats
####################
####################
### 15. Enrich data
####################
####################
#### END ####
####################
WARN: No metadata.txt in /home/sylvain/DATA/MayotteFMR/20220910_MYT-jollyroger_UAV-02_2/METADATA to parse
INFO: Create GPS folder
Format id to obtain date, country name, optionnal place, and platform
####################
### 2. Enrich Title
####################
INFO: Using glocal title
Images drone {platform}, {place}, {country} - {date}
format field
####################
### 8. Enrich Language
####################
INFO: Using glocal language
####################
### 4. Enrich Subject
####################
INFO: Using glocal theme
INFO: Using glocal project
####################
### 5. Enrich Creator
####################
INFO: Using glocal author
INFO: Using glocal publisher
INFO: Using glocal owner
INFO: Using glocal pointOfContact
INFO: Using glocal processor
####################
### 11. Enrich Relation
####################
INFO: Using glocal thumbnail
INFO: Using glocal http
####################
### Reading DCIM folder
####################
Extract image coordinates and thumbnails: it could takes some time !
/home/sylvain/DroneMDT/enriched_func.py:14: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`
enriched = df_global.iloc[0][keyword][0]
/home/sylvain/DATA/MayotteFMR/20220910_MYT-jollyroger_UAV-02_2
Generate image with a set of images
####################
### 10. Enrich TemporalCoverage
####################
####################
### 00. Prepare Provenance (13) and Description (3)
####################
/home/sylvain/DATA/MayotteFMR/20220910_MYT-jollyroger_UAV-02_2/DCIM/DJI_0942.JPG
####################
Fetching open-meteo
####################
Location: -12.889882, 45.2165585
Begin: 2022-09-10 12-28-03 - End: 2022-09-10 12-40-27
Model: best_match
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 1977 0 1977 0 0 8008 0 --:--:-- --:--:-- --:--:-- 8004
Convert Dataframe to UTM
Index(['FileName', 'GPSLatitude', 'GPSLongitude', 'GPSAltitude',
'FlightRollDegree', 'FlightPitchDegree', 'FlightYawDegree',
'GimbalRollDegree', 'GimbalPitchDegree', 'GimbalYawDegree',
'ImageWidth', 'ImageLength', 'BitsPerSample', 'ImageDescription',
'Make', 'Model', 'Orientation', 'SamplesPerPixel', 'XResolution',
'YResolution', 'ResolutionUnit', 'Software', 'DateTime',
'YCbCrPositioning', 'ExifOffset', 'GPSVersionID', 'ThumbnailImageWidth',
'ThumbnailImageLength', 'ThumbnailCompression', 'ThumbnailXResolution',
'ThumbnailYResolution', 'ThumbnailResolutionUnit',
'ThumbnailJPEGInterchangeFormat',
'ThumbnailJPEGInterchangeFormatLength', 'ExposureTime', 'FNumber',
'ExposureProgram', 'ISOSpeedRatings', 'ExifVersion', 'DateTimeOriginal',
'DateTimeDigitized', 'ComponentsConfiguration', 'ExposureBiasValue',
'MaxApertureValue', 'MeteringMode', 'LightSource', 'Flash',
'FocalLength', 'FlashPixVersion', 'ColorSpace', 'ExifImageWidth',
'ExifImageLength', 'FileSource', 'SceneType', 'ExposureMode',
'WhiteBalance', 'DigitalZoomRatio', 'FocalLengthIn35mmFilm',
'SceneCaptureType', 'GainControl', 'Contrast', 'Saturation',
'Sharpness', 'DeviceSettingDescription', 'BodySerialNumber',
'ThumbnailImage'],
dtype='object')
Compute convex hull
Export BBOX to GPKG
Exporting geolocation files including thumbnails: it could take some time !
Exporting metadata.csv !
####################
### 13. Enrich Provenance
####################
####################
### 3. Enrich Description
####################
INFO: Using glocal abstract
INFO: Using glocal purpose
INFO: Using glocal info
INFO: Using glocal edition
└─ 20220910_MYT-jollyroger_UAV-02_2
└─ DCIM
└─ GPS
└─ METADATA
└─ tb
####################
### 14. Enrich Formats
####################
####################
### 15. Enrich data
####################
####################
#### END ####
####################
WARN: No metadata.txt in /home/sylvain/DATA/MayotteFMR/20220913_MYT-jollyroger_UAV-02_1/METADATA to parse
INFO: Create GPS folder
Format id to obtain date, country name, optionnal place, and platform
####################
### 2. Enrich Title
####################
INFO: Using glocal title
Images drone {platform}, {place}, {country} - {date}
format field
####################
### 8. Enrich Language
####################
INFO: Using glocal language
####################
### 4. Enrich Subject
####################
INFO: Using glocal theme
INFO: Using glocal project
####################
### 5. Enrich Creator
####################
INFO: Using glocal author
INFO: Using glocal publisher
INFO: Using glocal owner
INFO: Using glocal pointOfContact
INFO: Using glocal processor
####################
### 11. Enrich Relation
####################
INFO: Using glocal thumbnail
INFO: Using glocal http
####################
### Reading DCIM folder
####################
Extract image coordinates and thumbnails: it could takes some time !
/home/sylvain/DroneMDT/enriched_func.py:14: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`
enriched = df_global.iloc[0][keyword][0]
/home/sylvain/DATA/MayotteFMR/20220913_MYT-jollyroger_UAV-02_1
Generate image with a set of images
####################
### 10. Enrich TemporalCoverage
####################
####################
### 00. Prepare Provenance (13) and Description (3)
####################
/home/sylvain/DATA/MayotteFMR/20220913_MYT-jollyroger_UAV-02_1/DCIM/DJI_0271.JPG
####################
Fetching open-meteo
####################
Location: -12.88990885, 45.21526105
Begin: 2022-09-13 10-38-10 - End: 2022-09-13 10-52-26
Model: best_match
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 1987 0 1987 0 0 6944 0 --:--:-- --:--:-- --:--:-- 6971
Convert Dataframe to UTM
Index(['FileName', 'GPSLatitude', 'GPSLongitude', 'GPSAltitude',
'FlightRollDegree', 'FlightPitchDegree', 'FlightYawDegree',
'GimbalRollDegree', 'GimbalPitchDegree', 'GimbalYawDegree',
'ImageWidth', 'ImageLength', 'BitsPerSample', 'ImageDescription',
'Make', 'Model', 'Orientation', 'SamplesPerPixel', 'XResolution',
'YResolution', 'ResolutionUnit', 'Software', 'DateTime',
'YCbCrPositioning', 'ExifOffset', 'GPSVersionID', 'ThumbnailImageWidth',
'ThumbnailImageLength', 'ThumbnailCompression', 'ThumbnailXResolution',
'ThumbnailYResolution', 'ThumbnailResolutionUnit',
'ThumbnailJPEGInterchangeFormat',
'ThumbnailJPEGInterchangeFormatLength', 'ExposureTime', 'FNumber',
'ExposureProgram', 'ISOSpeedRatings', 'ExifVersion', 'DateTimeOriginal',
'DateTimeDigitized', 'ComponentsConfiguration', 'ExposureBiasValue',
'MaxApertureValue', 'MeteringMode', 'LightSource', 'Flash',
'FocalLength', 'FlashPixVersion', 'ColorSpace', 'ExifImageWidth',
'ExifImageLength', 'FileSource', 'SceneType', 'ExposureMode',
'WhiteBalance', 'DigitalZoomRatio', 'FocalLengthIn35mmFilm',
'SceneCaptureType', 'GainControl', 'Contrast', 'Saturation',
'Sharpness', 'DeviceSettingDescription', 'BodySerialNumber',
'ThumbnailImage'],
dtype='object')
Compute convex hull
Export BBOX to GPKG
Exporting geolocation files including thumbnails: it could take some time !
Exporting metadata.csv !
####################
### 13. Enrich Provenance
####################
####################
### 3. Enrich Description
####################
INFO: Using glocal abstract
INFO: Using glocal purpose
INFO: Using glocal info
INFO: Using glocal edition
└─ 20220913_MYT-jollyroger_UAV-02_1
└─ DCIM
└─ GPS
└─ METADATA
└─ tb
####################
### 14. Enrich Formats
####################
####################
### 15. Enrich data
####################
####################
#### END ####
####################
WARN: No metadata.txt in /home/sylvain/DATA/MayotteFMR/20220914_MYT-aeroport_UAV-02_1/METADATA to parse
INFO: Create GPS folder
Format id to obtain date, country name, optionnal place, and platform
####################
### 2. Enrich Title
####################
INFO: Using glocal title
Images drone {platform}, {place}, {country} - {date}
format field
####################
### 8. Enrich Language
####################
INFO: Using glocal language
####################
### 4. Enrich Subject
####################
INFO: Using glocal theme
INFO: Using glocal project
####################
### 5. Enrich Creator
####################
INFO: Using glocal author
INFO: Using glocal publisher
INFO: Using glocal owner
INFO: Using glocal pointOfContact
INFO: Using glocal processor
####################
### 11. Enrich Relation
####################
INFO: Using glocal thumbnail
INFO: Using glocal http
####################
### Reading DCIM folder
####################
Extract image coordinates and thumbnails: it could takes some time !
/home/sylvain/DroneMDT/enriched_func.py:14: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`
enriched = df_global.iloc[0][keyword][0]
/home/sylvain/DATA/MayotteFMR/20220914_MYT-aeroport_UAV-02_1
Generate image with a set of images
####################
### 10. Enrich TemporalCoverage
####################
####################
### 00. Prepare Provenance (13) and Description (3)
####################
/home/sylvain/DATA/MayotteFMR/20220914_MYT-aeroport_UAV-02_1/DCIM/DJI_0219.JPG
####################
Fetching open-meteo
####################
Location: -12.8238235, 45.2789987
Begin: 2022-09-14 08-44-46 - End: 2022-09-14 09-00-26
Model: best_match
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 1995 0 1995 0 0 7627 0 --:--:-- --:--:-- --:--:-- 7614
Convert Dataframe to UTM
Index(['FileName', 'GPSLatitude', 'GPSLongitude', 'GPSAltitude',
'FlightRollDegree', 'FlightPitchDegree', 'FlightYawDegree',
'GimbalRollDegree', 'GimbalPitchDegree', 'GimbalYawDegree',
'ImageWidth', 'ImageLength', 'BitsPerSample', 'ImageDescription',
'Make', 'Model', 'Orientation', 'SamplesPerPixel', 'XResolution',
'YResolution', 'ResolutionUnit', 'Software', 'DateTime',
'YCbCrPositioning', 'ExifOffset', 'GPSVersionID', 'ThumbnailImageWidth',
'ThumbnailImageLength', 'ThumbnailCompression', 'ThumbnailXResolution',
'ThumbnailYResolution', 'ThumbnailResolutionUnit',
'ThumbnailJPEGInterchangeFormat',
'ThumbnailJPEGInterchangeFormatLength', 'ExposureTime', 'FNumber',
'ExposureProgram', 'ISOSpeedRatings', 'ExifVersion', 'DateTimeOriginal',
'DateTimeDigitized', 'ComponentsConfiguration', 'ExposureBiasValue',
'MaxApertureValue', 'MeteringMode', 'LightSource', 'Flash',
'FocalLength', 'FlashPixVersion', 'ColorSpace', 'ExifImageWidth',
'ExifImageLength', 'FileSource', 'SceneType', 'ExposureMode',
'WhiteBalance', 'DigitalZoomRatio', 'FocalLengthIn35mmFilm',
'SceneCaptureType', 'GainControl', 'Contrast', 'Saturation',
'Sharpness', 'DeviceSettingDescription', 'BodySerialNumber',
'ThumbnailImage'],
dtype='object')
Compute convex hull
Export BBOX to GPKG
Exporting geolocation files including thumbnails: it could take some time !
Exporting metadata.csv !
####################
### 13. Enrich Provenance
####################
####################
### 3. Enrich Description
####################
INFO: Using glocal abstract
INFO: Using glocal purpose
INFO: Using glocal info
INFO: Using glocal edition
└─ 20220914_MYT-aeroport_UAV-02_1
└─ DCIM
└─ GPS
└─ METADATA
└─ tb
####################
### 14. Enrich Formats
####################
####################
### 15. Enrich data
####################
####################
#### END ####
####################
WARN: No metadata.txt in /home/sylvain/DATA/MayotteFMR/20220913_MYT-ngouja_UAV-02_3/METADATA to parse
INFO: Create GPS folder
Format id to obtain date, country name, optionnal place, and platform
####################
### 2. Enrich Title
####################
INFO: Using glocal title
Images drone {platform}, {place}, {country} - {date}
format field
####################
### 8. Enrich Language
####################
INFO: Using glocal language
####################
### 4. Enrich Subject
####################
INFO: Using glocal theme
INFO: Using glocal project
####################
### 5. Enrich Creator
####################
INFO: Using glocal author
INFO: Using glocal publisher
INFO: Using glocal owner
INFO: Using glocal pointOfContact
INFO: Using glocal processor
####################
### 11. Enrich Relation
####################
INFO: Using glocal thumbnail
INFO: Using glocal http
####################
### Reading DCIM folder
####################
Extract image coordinates and thumbnails: it could takes some time !
/home/sylvain/DroneMDT/enriched_func.py:14: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`
enriched = df_global.iloc[0][keyword][0]
/home/sylvain/DATA/MayotteFMR/20220913_MYT-ngouja_UAV-02_3
Generate image with a set of images
####################
### 10. Enrich TemporalCoverage
####################
####################
### 00. Prepare Provenance (13) and Description (3)
####################
/home/sylvain/DATA/MayotteFMR/20220913_MYT-ngouja_UAV-02_3/DCIM/DJI_0798.JPG
####################
Fetching open-meteo
####################
Location: -12.96501315, 45.08515705000001
Begin: 2022-09-13 15-05-58 - End: 2022-09-13 15-21-26
Model: best_match
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 1983 0 1983 0 0 7375 0 --:--:-- --:--:-- --:--:-- 7399
Convert Dataframe to UTM
Index(['FileName', 'GPSLatitude', 'GPSLongitude', 'GPSAltitude',
'FlightRollDegree', 'FlightPitchDegree', 'FlightYawDegree',
'GimbalRollDegree', 'GimbalPitchDegree', 'GimbalYawDegree',
'ImageWidth', 'ImageLength', 'BitsPerSample', 'ImageDescription',
'Make', 'Model', 'Orientation', 'SamplesPerPixel', 'XResolution',
'YResolution', 'ResolutionUnit', 'Software', 'DateTime',
'YCbCrPositioning', 'ExifOffset', 'GPSVersionID', 'ThumbnailImageWidth',
'ThumbnailImageLength', 'ThumbnailCompression', 'ThumbnailXResolution',
'ThumbnailYResolution', 'ThumbnailResolutionUnit',
'ThumbnailJPEGInterchangeFormat',
'ThumbnailJPEGInterchangeFormatLength', 'ExposureTime', 'FNumber',
'ExposureProgram', 'ISOSpeedRatings', 'ExifVersion', 'DateTimeOriginal',
'DateTimeDigitized', 'ComponentsConfiguration', 'ExposureBiasValue',
'MaxApertureValue', 'MeteringMode', 'LightSource', 'Flash',
'FocalLength', 'FlashPixVersion', 'ColorSpace', 'ExifImageWidth',
'ExifImageLength', 'FileSource', 'SceneType', 'ExposureMode',
'WhiteBalance', 'DigitalZoomRatio', 'FocalLengthIn35mmFilm',
'SceneCaptureType', 'GainControl', 'Contrast', 'Saturation',
'Sharpness', 'DeviceSettingDescription', 'BodySerialNumber',
'ThumbnailImage'],
dtype='object')
Compute convex hull
Export BBOX to GPKG
Exporting geolocation files including thumbnails: it could take some time !
Exporting metadata.csv !
####################
### 13. Enrich Provenance
####################
####################
### 3. Enrich Description
####################
INFO: Using glocal abstract
INFO: Using glocal purpose
INFO: Using glocal info
INFO: Using glocal edition
└─ 20220913_MYT-ngouja_UAV-02_3
└─ DCIM
└─ GPS
└─ METADATA
└─ tb
####################
### 14. Enrich Formats
####################
####################
### 15. Enrich data
####################
####################
#### END ####
####################
WARN: No metadata.txt in /home/sylvain/DATA/MayotteFMR/20220912_MYT-ile-blanche_UAV-02_1/METADATA to parse
INFO: Create GPS folder
Format id to obtain date, country name, optionnal place, and platform
####################
### 2. Enrich Title
####################
INFO: Using glocal title
Images drone {platform}, {place}, {country} - {date}
format field
####################
### 8. Enrich Language
####################
INFO: Using glocal language
####################
### 4. Enrich Subject
####################
INFO: Using glocal theme
INFO: Using glocal project
####################
### 5. Enrich Creator
####################
INFO: Using glocal author
INFO: Using glocal publisher
INFO: Using glocal owner
INFO: Using glocal pointOfContact
INFO: Using glocal processor
####################
### 11. Enrich Relation
####################
INFO: Using glocal thumbnail
INFO: Using glocal http
####################
### Reading DCIM folder
####################
Extract image coordinates and thumbnails: it could takes some time !
/home/sylvain/DroneMDT/enriched_func.py:14: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`
enriched = df_global.iloc[0][keyword][0]
/home/sylvain/DATA/MayotteFMR/20220912_MYT-ile-blanche_UAV-02_1
Generate image with a set of images
####################
### 10. Enrich TemporalCoverage
####################
####################
### 00. Prepare Provenance (13) and Description (3)
####################
/home/sylvain/DATA/MayotteFMR/20220912_MYT-ile-blanche_UAV-02_1/DCIM/DJI_0320.JPG
####################
Fetching open-meteo
####################
Location: -12.71641855, 45.172184099999996
Begin: 2022-09-12 08-32-09 - End: 2022-09-12 08-51-56
Model: best_match
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 1987 0 1987 0 0 7405 0 --:--:-- --:--:-- --:--:-- 7414
Convert Dataframe to UTM
Index(['FileName', 'GPSLatitude', 'GPSLongitude', 'GPSAltitude',
'FlightRollDegree', 'FlightPitchDegree', 'FlightYawDegree',
'GimbalRollDegree', 'GimbalPitchDegree', 'GimbalYawDegree',
'ImageWidth', 'ImageLength', 'BitsPerSample', 'ImageDescription',
'Make', 'Model', 'Orientation', 'SamplesPerPixel', 'XResolution',
'YResolution', 'ResolutionUnit', 'Software', 'DateTime',
'YCbCrPositioning', 'ExifOffset', 'GPSVersionID', 'ThumbnailImageWidth',
'ThumbnailImageLength', 'ThumbnailCompression', 'ThumbnailXResolution',
'ThumbnailYResolution', 'ThumbnailResolutionUnit',
'ThumbnailJPEGInterchangeFormat',
'ThumbnailJPEGInterchangeFormatLength', 'ExposureTime', 'FNumber',
'ExposureProgram', 'ISOSpeedRatings', 'ExifVersion', 'DateTimeOriginal',
'DateTimeDigitized', 'ComponentsConfiguration', 'ExposureBiasValue',
'MaxApertureValue', 'MeteringMode', 'LightSource', 'Flash',
'FocalLength', 'FlashPixVersion', 'ColorSpace', 'ExifImageWidth',
'ExifImageLength', 'FileSource', 'SceneType', 'ExposureMode',
'WhiteBalance', 'DigitalZoomRatio', 'FocalLengthIn35mmFilm',
'SceneCaptureType', 'GainControl', 'Contrast', 'Saturation',
'Sharpness', 'DeviceSettingDescription', 'BodySerialNumber',
'ThumbnailImage'],
dtype='object')
Compute convex hull
Export BBOX to GPKG
Exporting geolocation files including thumbnails: it could take some time !
Exporting metadata.csv !
####################
### 13. Enrich Provenance
####################
####################
### 3. Enrich Description
####################
INFO: Using glocal abstract
INFO: Using glocal purpose
INFO: Using glocal info
INFO: Using glocal edition
└─ 20220912_MYT-ile-blanche_UAV-02_1
└─ DCIM
└─ GPS
└─ METADATA
└─ tb
####################
### 14. Enrich Formats
####################
####################
### 15. Enrich data
####################
####################
#### END ####
####################
WARN: No metadata.txt in /home/sylvain/DATA/MayotteFMR/20220911_MYT-jollyroger_UAV-02_2/METADATA to parse
INFO: Create GPS folder
Format id to obtain date, country name, optionnal place, and platform
####################
### 2. Enrich Title
####################
INFO: Using glocal title
Images drone {platform}, {place}, {country} - {date}
format field
####################
### 8. Enrich Language
####################
INFO: Using glocal language
####################
### 4. Enrich Subject
####################
INFO: Using glocal theme
INFO: Using glocal project
####################
### 5. Enrich Creator
####################
INFO: Using glocal author
INFO: Using glocal publisher
INFO: Using glocal owner
INFO: Using glocal pointOfContact
INFO: Using glocal processor
####################
### 11. Enrich Relation
####################
INFO: Using glocal thumbnail
INFO: Using glocal http
####################
### Reading DCIM folder
####################
Extract image coordinates and thumbnails: it could takes some time !
/home/sylvain/DroneMDT/enriched_func.py:14: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`
enriched = df_global.iloc[0][keyword][0]
/home/sylvain/DATA/MayotteFMR/20220911_MYT-jollyroger_UAV-02_2
Generate image with a set of images
####################
### 10. Enrich TemporalCoverage
####################
####################
### 00. Prepare Provenance (13) and Description (3)
####################
/home/sylvain/DATA/MayotteFMR/20220911_MYT-jollyroger_UAV-02_2/DCIM/DJI_0679.JPG
####################
Fetching open-meteo
####################
Location: -12.890266650000001, 45.21454555
Begin: 2022-09-11 09-10-56 - End: 2022-09-11 09-32-31
Model: best_match
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 1967 0 1967 0 0 8146 0 --:--:-- --:--:-- --:--:-- 8161
Convert Dataframe to UTM
Index(['FileName', 'GPSLatitude', 'GPSLongitude', 'GPSAltitude',
'FlightRollDegree', 'FlightPitchDegree', 'FlightYawDegree',
'GimbalRollDegree', 'GimbalPitchDegree', 'GimbalYawDegree',
'ImageWidth', 'ImageLength', 'BitsPerSample', 'ImageDescription',
'Make', 'Model', 'Orientation', 'SamplesPerPixel', 'XResolution',
'YResolution', 'ResolutionUnit', 'Software', 'DateTime',
'YCbCrPositioning', 'ExifOffset', 'GPSVersionID', 'ThumbnailImageWidth',
'ThumbnailImageLength', 'ThumbnailCompression', 'ThumbnailXResolution',
'ThumbnailYResolution', 'ThumbnailResolutionUnit',
'ThumbnailJPEGInterchangeFormat',
'ThumbnailJPEGInterchangeFormatLength', 'ExposureTime', 'FNumber',
'ExposureProgram', 'ISOSpeedRatings', 'ExifVersion', 'DateTimeOriginal',
'DateTimeDigitized', 'ComponentsConfiguration', 'ExposureBiasValue',
'MaxApertureValue', 'MeteringMode', 'LightSource', 'Flash',
'FocalLength', 'FlashPixVersion', 'ColorSpace', 'ExifImageWidth',
'ExifImageLength', 'FileSource', 'SceneType', 'ExposureMode',
'WhiteBalance', 'DigitalZoomRatio', 'FocalLengthIn35mmFilm',
'SceneCaptureType', 'GainControl', 'Contrast', 'Saturation',
'Sharpness', 'DeviceSettingDescription', 'BodySerialNumber',
'ThumbnailImage'],
dtype='object')
Compute convex hull
Export BBOX to GPKG
Exporting geolocation files including thumbnails: it could take some time !
Exporting metadata.csv !
####################
### 13. Enrich Provenance
####################
####################
### 3. Enrich Description
####################
INFO: Using glocal abstract
INFO: Using glocal purpose
INFO: Using glocal info
INFO: Using glocal edition
└─ 20220911_MYT-jollyroger_UAV-02_2
└─ DCIM
└─ GPS
└─ METADATA
└─ tb
####################
### 14. Enrich Formats
####################
####################
### 15. Enrich data
####################
####################
#### END ####
####################
WARN: No metadata.txt in /home/sylvain/DATA/MayotteFMR/20220911_MYT-musicalplage_UAV-02_3/METADATA to parse
INFO: Create GPS folder
Format id to obtain date, country name, optionnal place, and platform
####################
### 2. Enrich Title
####################
INFO: Using glocal title
Images drone {platform}, {place}, {country} - {date}
format field
####################
### 8. Enrich Language
####################
INFO: Using glocal language
####################
### 4. Enrich Subject
####################
INFO: Using glocal theme
INFO: Using glocal project
####################
### 5. Enrich Creator
####################
INFO: Using glocal author
INFO: Using glocal publisher
INFO: Using glocal owner
INFO: Using glocal pointOfContact
INFO: Using glocal processor
####################
### 11. Enrich Relation
####################
INFO: Using glocal thumbnail
INFO: Using glocal http
####################
### Reading DCIM folder
####################
Extract image coordinates and thumbnails: it could takes some time !
/home/sylvain/DroneMDT/enriched_func.py:14: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`
enriched = df_global.iloc[0][keyword][0]
/home/sylvain/DATA/MayotteFMR/20220911_MYT-musicalplage_UAV-02_3
Generate image with a set of images
####################
### 10. Enrich TemporalCoverage
####################
####################
### 00. Prepare Provenance (13) and Description (3)
####################
/home/sylvain/DATA/MayotteFMR/20220911_MYT-musicalplage_UAV-02_3/DCIM/DJI_0065.JPG
####################
Fetching open-meteo
####################
Location: -12.919745899999999, 45.1855785
Begin: 2022-09-11 09-51-50 - End: 2022-09-11 10-09-04
Model: best_match
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 1968 0 1968 0 0 6921 0 --:--:-- --:--:-- --:--:-- 6929
Convert Dataframe to UTM
Index(['FileName', 'GPSLatitude', 'GPSLongitude', 'GPSAltitude',
'FlightRollDegree', 'FlightPitchDegree', 'FlightYawDegree',
'GimbalRollDegree', 'GimbalPitchDegree', 'GimbalYawDegree',
'ImageWidth', 'ImageLength', 'BitsPerSample', 'ImageDescription',
'Make', 'Model', 'Orientation', 'SamplesPerPixel', 'XResolution',
'YResolution', 'ResolutionUnit', 'Software', 'DateTime',
'YCbCrPositioning', 'ExifOffset', 'GPSVersionID', 'ThumbnailImageWidth',
'ThumbnailImageLength', 'ThumbnailCompression', 'ThumbnailXResolution',
'ThumbnailYResolution', 'ThumbnailResolutionUnit',
'ThumbnailJPEGInterchangeFormat',
'ThumbnailJPEGInterchangeFormatLength', 'ExposureTime', 'FNumber',
'ExposureProgram', 'ISOSpeedRatings', 'ExifVersion', 'DateTimeOriginal',
'DateTimeDigitized', 'ComponentsConfiguration', 'ExposureBiasValue',
'MaxApertureValue', 'MeteringMode', 'LightSource', 'Flash',
'FocalLength', 'FlashPixVersion', 'ColorSpace', 'ExifImageWidth',
'ExifImageLength', 'FileSource', 'SceneType', 'ExposureMode',
'WhiteBalance', 'DigitalZoomRatio', 'FocalLengthIn35mmFilm',
'SceneCaptureType', 'GainControl', 'Contrast', 'Saturation',
'Sharpness', 'DeviceSettingDescription', 'BodySerialNumber',
'ThumbnailImage'],
dtype='object')
Compute convex hull
Export BBOX to GPKG
Exporting geolocation files including thumbnails: it could take some time !
Exporting metadata.csv !
####################
### 13. Enrich Provenance
####################
####################
### 3. Enrich Description
####################
INFO: Using glocal abstract
INFO: Using glocal purpose
INFO: Using glocal info
INFO: Using glocal edition
└─ 20220911_MYT-musicalplage_UAV-02_3
└─ DCIM
└─ GPS
└─ METADATA
└─ tb
####################
### 14. Enrich Formats
####################
####################
### 15. Enrich data
####################
####################
#### END ####
####################
[9]:
# Set prefix for generated json and csv entities
out_prefix = datetime.datetime.now().strftime('%Y%m%d-%H%M%S')
out_prefix
[9]:
'20231011-195158'
[10]:
# Visualize output
df.head()
[10]:
| Identifier | Title | Description | Subject | Creator | Date | Type | Language | SpatialCoverage | TemporalCoverage | Relation | Rights | Provenance | Format | Data | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 20220914_MYT-aeroport_UAV-02_3 | title:Images drone UAV, Aeroport, Mayotte - 20220914 | abstract:"Jeu de données composé d’images de drone DJI Mavic 2 Pro UAV acquises sur le site de Aeropo... | theme[General]:Future Maore Reef,drone,lagon,corail,reef_\nproject:Future Maore Reef@https://www.futu... | author:sylvain.poulain@ird.fr,isabel.urbina-barreto@ird.fr,julien.barde@ird.fr,francois.guilhaumon@ir... | publication:2023-10-11_\nedition:2023-10-11 | dataset | fra | 2022-09-14 11-35-17 - 2022-09-14 11-49-42 | thumbnail:Future Maore Reef@https://www.futuremaorereefs.org/assets/images/summer_school_banner.png_\... | useLimitation:Utilisation libre sous réserve de mentionner la source (a minima le nom du producteur) ... | statement:"- Camera model and parameters:\n Make: Hasselblad\n Model: L1D-20c\n Width: 5472\n Height:... | resource:image/jpg_\ndistribution:application/geopackage+sqlite3[GeoPackage] | source:SurveyMetadata.gpkg@/home/sylvain/DATA/MayotteFMR/20220914_MYT-aeroport_UAV-02_3/GPS/SurveyMet... | |
| 1 | 20220911_MYT-aeroport_UAV-02_2 | title:Images drone UAV, Aeroport, Mayotte - 20220911 | abstract:"Jeu de données composé d’images de drone DJI Mavic 2 Pro UAV acquises sur le site de Aeropo... | theme[General]:Future Maore Reef,drone,lagon,corail,reef_\nproject:Future Maore Reef@https://www.futu... | author:sylvain.poulain@ird.fr,isabel.urbina-barreto@ird.fr,julien.barde@ird.fr,francois.guilhaumon@ir... | publication:2023-10-11_\nedition:2023-10-11 | dataset | fra | 2022-09-11 15-18-37 - 2022-09-11 15-26-13 | thumbnail:Future Maore Reef@https://www.futuremaorereefs.org/assets/images/summer_school_banner.png_\... | useLimitation:Utilisation libre sous réserve de mentionner la source (a minima le nom du producteur) ... | statement:"- Camera model and parameters:\n Make: Hasselblad\n Model: L1D-20c\n Width: 5472\n Height:... | resource:image/jpg_\ndistribution:application/geopackage+sqlite3[GeoPackage] | source:SurveyMetadata.gpkg@/home/sylvain/DATA/MayotteFMR/20220911_MYT-aeroport_UAV-02_2/GPS/SurveyMet... | |
| 2 | 20220910_MYT-musicalplage_UAV-02_1 | title:Images drone UAV, Musicalplage, Mayotte - 20220910 | abstract:"Jeu de données composé d’images de drone DJI Mavic 2 Pro UAV acquises sur le site de Musica... | theme[General]:Future Maore Reef,drone,lagon,corail,reef_\nproject:Future Maore Reef@https://www.futu... | author:sylvain.poulain@ird.fr,isabel.urbina-barreto@ird.fr,julien.barde@ird.fr,francois.guilhaumon@ir... | publication:2023-10-11_\nedition:2023-10-11 | dataset | fra | 2022-09-10 11-00-06 - 2022-09-10 11-07-35 | thumbnail:Future Maore Reef@https://www.futuremaorereefs.org/assets/images/summer_school_banner.png_\... | useLimitation:Utilisation libre sous réserve de mentionner la source (a minima le nom du producteur) ... | statement:"- Camera model and parameters:\n Make: Hasselblad\n Model: L1D-20c\n Width: 5472\n Height:... | resource:image/jpg_\ndistribution:application/geopackage+sqlite3[GeoPackage] | source:SurveyMetadata.gpkg@/home/sylvain/DATA/MayotteFMR/20220910_MYT-musicalplage_UAV-02_1/GPS/Surve... | |
| 3 | 20220912_MYT-surprise_UAV-02_2 | title:Images drone UAV, Surprise, Mayotte - 20220912 | abstract:"Jeu de données composé d’images de drone DJI Mavic 2 Pro UAV acquises sur le site de Surpri... | theme[General]:Future Maore Reef,drone,lagon,corail,reef_\nproject:Future Maore Reef@https://www.futu... | author:sylvain.poulain@ird.fr,isabel.urbina-barreto@ird.fr,julien.barde@ird.fr,francois.guilhaumon@ir... | publication:2023-10-11_\nedition:2023-10-11 | dataset | fra | 2022-09-12 12-31-19 - 2022-09-12 12-45-40 | thumbnail:Future Maore Reef@https://www.futuremaorereefs.org/assets/images/summer_school_banner.png_\... | useLimitation:Utilisation libre sous réserve de mentionner la source (a minima le nom du producteur) ... | statement:"- Camera model and parameters:\n Make: Hasselblad\n Model: L1D-20c\n Width: 5472\n Height:... | resource:image/jpg_\ndistribution:application/geopackage+sqlite3[GeoPackage] | source:SurveyMetadata.gpkg@/home/sylvain/DATA/MayotteFMR/20220912_MYT-surprise_UAV-02_2/GPS/SurveyMet... | |
| 4 | 20220911_MYT-jollyroger_UAV-02_1 | title:Images drone UAV, Jollyroger, Mayotte - 20220911 | abstract:"Jeu de données composé d’images de drone DJI Mavic 2 Pro UAV acquises sur le site de Jollyr... | theme[General]:Future Maore Reef,drone,lagon,corail,reef_\nproject:Future Maore Reef@https://www.futu... | author:sylvain.poulain@ird.fr,isabel.urbina-barreto@ird.fr,julien.barde@ird.fr,francois.guilhaumon@ir... | publication:2023-10-11_\nedition:2023-10-11 | dataset | fra | 2022-09-11 08-37-19 - 2022-09-11 08-55-09 | thumbnail:Future Maore Reef@https://www.futuremaorereefs.org/assets/images/summer_school_banner.png_\... | useLimitation:Utilisation libre sous réserve de mentionner la source (a minima le nom du producteur) ... | statement:"- Camera model and parameters:\n Make: Hasselblad\n Model: L1D-20c\n Width: 5472\n Height:... | resource:image/jpg_\ndistribution:application/geopackage+sqlite3[GeoPackage] | source:SurveyMetadata.gpkg@/home/sylvain/DATA/MayotteFMR/20220911_MYT-jollyroger_UAV-02_1/GPS/SurveyM... |
[11]:
# Visualize Description
print(df.iloc[0]['Description'])
abstract:"Jeu de données composé d’images de drone DJI Mavic 2 Pro UAV acquises sur le site de Aeroport, Mayotte à la date suivante : 20220914.
<br />
<br />Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l’objectif de la mission vise à étudier l’implantation de récifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace aérien contrôlé, les vols ont été exécutés en regard de la réglmentation et en contact avec la tour de contrôle de l'aéroport de Mayotte.
<br />
<br />
<br /><b>Le dépôt est composé des éléments suivants:</b>
<br /> - 00_: Planche d'aperçu des images
<br /> - DCIM.zip: Images brutes issues du drone
<br /> - GPS.zip: Geopackage contenant l’emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d’attribut en base64
<br /> - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.
<br />
<br /><b>Arborescence d'origine:</b>
<br />└─ 20220914_MYT-aeroport_UAV-02_3
<br /> └─ DCIM
<br /> └─ GPS
<br /> └─ METADATA
<br /> └─ tb
<br />
<br /><b>Informations de survol:</b>
<br />Différentes hauteurs de vols, angles des transects et angles de caméra ont été utilisés dans le but d'obtenir des données de qualité en fonction des conditions météorologiques et marines.
<br />- Camera model and parameters:
<br /> Make: Hasselblad
<br /> Model: L1D-20c
<br /> Width: 5472
<br /> Height: 3648
<br /> Focal: 28
<br /> WhiteBalance: Manual
<br /> ExposureMode: Auto Exposure
<br /> ColoSpace: sRGB
<br /> EV: -0.7
<br /> MeteringMode: CenterWeightedAverage
<br /> Camera Pitch: -75.00
<br />
<br />- Survey informations:
<br /> No Images: 327
<br /> Median height: 70 meters
<br /> Survey area: 7.71 hectares
<br /> Survey from: 2022:09:14 11:35:17 to: 2022:09:14 11:49:42
<br />
<br />Les dépôts suivants comprennent les données traitées avec OpenDroneMap"_
purpose:" "_
info:"This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI"_
edition:"RAW DATA"
[12]:
##############
#### ISO 19115 config
##############
## Export to csv
df.to_csv(os.path.join(output, out_prefix + "_iso19115-metadata.csv"), quoting=1, quotechar='"', index=False)
## Generate json
iso19115config = {'profile': {'id': 'iso19115',
'name': 'iso19115',
'project': 'Generate iso19115 with Geoflow',
'organization': 'IRD',
'environment': {'file': '.env',
'hide_env_vars': ['MOTDEPASSE']},
'logos': ['https://en.ird.fr/sites/ird_fr/files/2019-08/logo_IRD_2016_BLOC_UK_COUL.png'],
'mode': 'entity'},
'metadata': {'entities':
[{'handler': 'csv',
'source': os.path.join(output, out_prefix) + "_iso19115-metadata.csv"}],
'contacts':
[{'handler': 'csv',
'source': 'https://drive.ird.fr/s/EYS3qccyB28PrA9/download/geoflow_g2oi_contacts.csv'}]},
'software': [],
'actions':
[{'id': 'geometa-create-iso-19115',
'options' :
{"logo": True},
"run": True}]}
# Export json to file
with open(os.path.join(output, out_prefix + '_iso19115-config.json'), 'w') as f:
json.dump(iso19115config, f, indent=4)
[13]:
# Optional : could start from here => reload dataframe from csv
# df = {}
# df = pd.read_csv(output, out_prefix + "_iso19115-metadata.csv")
[14]:
### Execute geoflow
xml19115 = run_geoflow(os.path.join(output, out_prefix + '_iso19115-config.json'), geoflow_folder)
os.chdir(dronemdt_folder)
R[write to console]: Rows: 129 Columns: 14
R[write to console]: ── Column specification ────────────────────────────────────────────────────────
Delimiter: ","
chr (14): Identifier, Email, OrganizationName, PositionName, LastName, First...
R[write to console]:
ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
R[write to console]: Rows: 17 Columns: 15
R[write to console]: ── Column specification ────────────────────────────────────────────────────────
Delimiter: ","
chr (15): Identifier, Title, Description, Subject, Creator, Date, Type, Lang...
R[write to console]:
ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
R[write to console]: Loading required package: geometa
R[write to console]: Loading required package: ows4R
[15]:
# Geoflow job log folder
print(xml19115[0])
/home/sylvain/geoflow-g2oi/jobs/20231011195158
[16]:
## Copy generated ISO19115 to original metadata folder
for id in range(len(df)):
jobs19115 = xml19115[0] + '/entities/' + df.iloc[id]['Identifier'] + '/metadata/'
fname19115 = df.iloc[id]['Identifier'] + '_ISO-19115.xml'
if fname19115 in os.listdir(jobs19115):
shutil.copyfile(jobs19115+fname19115,
input + "/" + df.iloc[id]['Identifier'] + '/METADATA/' + fname19115)
Part 3. Upload RAW data to Zenodo
ZIP all folders
[17]:
### Zip all folders
zip_each_folder(input, df)
### Reference Zip's in Dataframe
for zip in range(len(df)):
source = []
sess_path = os.path.join(input, df.iloc[zip]['Identifier'])
source = os.listdir(sess_path)
if len(source) < 1:
pass
else:
source_file = []
for file in range(len(source)):
if "PROCESSED_DATA.zip" in source:
pass
else:
if os.path.isfile(os.path.join(sess_path, source[file])):
if len(source) < 2:
df.iloc[zip, df.columns.get_loc('Data')] = "source:" + source[file] + "@" + sess_path + "/" + source[file] + "_\n" + "sourceType:other_\nsourceZip:false"
source_file = source[file]
else:
source_file.append(source[file])
# df.iloc[zip, df.columns.get_loc('Data')] = "source:" + source[file] + "@" + sess_path + source[file] + "_\n" + "sourceType:other_\nsourceZip:false"
if ".zip" in df.iloc[zip, df.columns.get_loc('Data')]:
pass
else:
df.iloc[zip, df.columns.get_loc('Data')] = "source:"
for i in range(len(source_file)):
df.iloc[zip, df.columns.get_loc('Data')] = str(df.iloc[zip, df.columns.get_loc('Data')]) + source_file[i] + "@" + sess_path + "/" + source_file[i] + ","
if "," in str(df.iloc[zip, df.columns.get_loc('Data')])[-1]:
df.iloc[zip, df.columns.get_loc('Data')] = str(df.iloc[zip, df.columns.get_loc('Data')])[:-1] + "_\n" + "sourceType:other_\nupload:true"
INFO: Ziping 20220914_MYT-aeroport_UAV-02_3
INFO: 00_sample_rawdata_overview.png is not a folder
INFO: Ziping 20220911_MYT-aeroport_UAV-02_2
INFO: 00_sample_rawdata_overview.png is not a folder
INFO: Ziping 20220910_MYT-musicalplage_UAV-02_1
INFO: 00_sample_rawdata_overview.png is not a folder
INFO: Ziping 20220912_MYT-surprise_UAV-02_2
INFO: 00_sample_rawdata_overview.png is not a folder
INFO: Ziping 20220911_MYT-jollyroger_UAV-02_1
INFO: 00_sample_rawdata_overview.png is not a folder
INFO: Ziping 20220911_MYT-aeroport_UAV-02_1
INFO: 00_sample_rawdata_overview.png is not a folder
INFO: Ziping 20220912_MYT-surprise_UAV-02_3
INFO: 00_sample_rawdata_overview.png is not a folder
INFO: Ziping 20220914_MYT-ile-blanche_UAV-02_2
INFO: 00_sample_rawdata_overview.png is not a folder
INFO: Ziping 20220910_MYT-jolly-roger_UAV-02_3
INFO: 00_sample_rawdata_overview.png is not a folder
INFO: Ziping 20220913_MYT-ngouja_UAV-02_2
INFO: 00_sample_rawdata_overview.png is not a folder
INFO: Ziping 20220910_MYT-jollyroger_UAV-02_2
INFO: 00_sample_rawdata_overview.png is not a folder
INFO: Ziping 20220913_MYT-jollyroger_UAV-02_1
INFO: 00_sample_rawdata_overview.png is not a folder
INFO: Ziping 20220914_MYT-aeroport_UAV-02_1
INFO: 00_sample_rawdata_overview.png is not a folder
INFO: Ziping 20220913_MYT-ngouja_UAV-02_3
INFO: 00_sample_rawdata_overview.png is not a folder
INFO: Ziping 20220912_MYT-ile-blanche_UAV-02_1
INFO: 00_sample_rawdata_overview.png is not a folder
INFO: Ziping 20220911_MYT-jollyroger_UAV-02_2
INFO: 00_sample_rawdata_overview.png is not a folder
INFO: Ziping 20220911_MYT-musicalplage_UAV-02_3
INFO: 00_sample_rawdata_overview.png is not a folder
Generate config files
[18]:
### Export raw data df to csv
fname = out_prefix + '_zenodo-rawdata'
df.to_csv(os.path.join(output, fname + ".csv"), quoting=1, quotechar='"', index=False)
### Configure and export Zenodo json
# SANDBOX
# zen_json = zenodo_json(fname, 'sandbox', output, out_prefix)
# PRODUCTION
zen_json = zenodo_json(fname, 'no_sandbox', output, out_prefix)
with open(os.path.join(output, out_prefix + '_rawfiles-config.json'), 'w') as f:
json.dump(zen_json, f, indent=4)
Execute Geoflow to upload to Zenodo
[34]:
### Execute geoflow :: upload to geoflow
# upload_raw_to_zenodo =
config_raw = os.path.join(output, out_prefix + '_rawfiles-config.json')
# run_geoflow(config_raw, geoflow_folder)
os.chdir(geoflow_folder)
# subprocess.run(["R", "-e", "geoflow::initWorkflow('{}')".format(config_raw)], capture_output=False)
subprocess.call(["R", "-e", "geoflow::executeWorkflow('{}')".format(config_raw)],
stdout=subprocess.DEVNULL, stderr=subprocess.STDOUT,)
os.chdir(dronemdt_folder)
[122]:
df = pd.read_csv(os.path.join(output, '20231011-195158_zenodo-rawdata_updated_doi.csv'))
df.head()
[122]:
| Identifier | Title | Description | Subject | Creator | Date | Type | Language | SpatialCoverage | TemporalCoverage | Relation | Rights | Provenance | Format | Data | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | id:20220914_MYT-aeroport_UAV-02_3_\ndoi:10.528... | title:Images drone UAV, Aeroport, Mayotte - 20... | abstract:"Jeu de données composé d’images de d... | theme[General]:Future Maore Reef,drone,lagon,c... | author:sylvain.poulain@ird.fr,isabel.urbina-ba... | publication:2023-10-11_\nedition:2023-10-11 | dataset | fra | NaN | 2022-09-14 11-35-17 - 2022-09-14 11-49-42 | thumbnail:Future Maore Reef@https://www.future... | useLimitation:Utilisation libre sous réserve d... | statement:"- Camera model and parameters:\n Ma... | resource:image/jpg_\ndistribution:application/... | source:METADATA.zip@/home/sylvain/DATA/Mayotte... |
| 1 | id:20220911_MYT-aeroport_UAV-02_2_\ndoi:10.528... | title:Images drone UAV, Aeroport, Mayotte - 20... | abstract:"Jeu de données composé d’images de d... | theme[General]:Future Maore Reef,drone,lagon,c... | author:sylvain.poulain@ird.fr,isabel.urbina-ba... | publication:2023-10-11_\nedition:2023-10-11 | dataset | fra | NaN | 2022-09-11 15-18-37 - 2022-09-11 15-26-13 | thumbnail:Future Maore Reef@https://www.future... | useLimitation:Utilisation libre sous réserve d... | statement:"- Camera model and parameters:\n Ma... | resource:image/jpg_\ndistribution:application/... | source:METADATA.zip@/home/sylvain/DATA/Mayotte... |
| 2 | id:20220910_MYT-musicalplage_UAV-02_1_\ndoi:10... | title:Images drone UAV, Musicalplage, Mayotte ... | abstract:"Jeu de données composé d’images de d... | theme[General]:Future Maore Reef,drone,lagon,c... | author:sylvain.poulain@ird.fr,isabel.urbina-ba... | publication:2023-10-11_\nedition:2023-10-11 | dataset | fra | NaN | 2022-09-10 11-00-06 - 2022-09-10 11-07-35 | thumbnail:Future Maore Reef@https://www.future... | useLimitation:Utilisation libre sous réserve d... | statement:"- Camera model and parameters:\n Ma... | resource:image/jpg_\ndistribution:application/... | source:METADATA.zip@/home/sylvain/DATA/Mayotte... |
| 3 | id:20220912_MYT-surprise_UAV-02_2_\ndoi:10.528... | title:Images drone UAV, Surprise, Mayotte - 20... | abstract:"Jeu de données composé d’images de d... | theme[General]:Future Maore Reef,drone,lagon,c... | author:sylvain.poulain@ird.fr,isabel.urbina-ba... | publication:2023-10-11_\nedition:2023-10-11 | dataset | fra | NaN | 2022-09-12 12-31-19 - 2022-09-12 12-45-40 | thumbnail:Future Maore Reef@https://www.future... | useLimitation:Utilisation libre sous réserve d... | statement:"- Camera model and parameters:\n Ma... | resource:image/jpg_\ndistribution:application/... | source:METADATA.zip@/home/sylvain/DATA/Mayotte... |
| 4 | id:20220911_MYT-jollyroger_UAV-02_1_\ndoi:10.5... | title:Images drone UAV, Jollyroger, Mayotte - ... | abstract:"Jeu de données composé d’images de d... | theme[General]:Future Maore Reef,drone,lagon,c... | author:sylvain.poulain@ird.fr,isabel.urbina-ba... | publication:2023-10-11_\nedition:2023-10-11 | dataset | fra | NaN | 2022-09-11 08-37-19 - 2022-09-11 08-55-09 | thumbnail:Future Maore Reef@https://www.future... | useLimitation:Utilisation libre sous réserve d... | statement:"- Camera model and parameters:\n Ma... | resource:image/jpg_\ndistribution:application/... | source:METADATA.zip@/home/sylvain/DATA/Mayotte... |
[101]:
### Check DOI's
for doi in range(len(df)):
print(df.iloc[doi]["Identifier"])
id:20220914_MYT-aeroport_UAV-02_3_
doi:10.5281/zenodo.8432872_
conceptdoi:10.5281/zenodo.8432871
id:20220911_MYT-aeroport_UAV-02_2_
doi:10.5281/zenodo.8432885_
conceptdoi:10.5281/zenodo.8432884
id:20220910_MYT-musicalplage_UAV-02_1_
doi:10.5281/zenodo.8432891_
conceptdoi:10.5281/zenodo.8432890
id:20220912_MYT-surprise_UAV-02_2_
doi:10.5281/zenodo.8432895_
conceptdoi:10.5281/zenodo.8432894
id:20220911_MYT-jollyroger_UAV-02_1_
doi:10.5281/zenodo.8436204_
conceptdoi:10.5281/zenodo.8436203
id:20220911_MYT-aeroport_UAV-02_1_
doi:10.5281/zenodo.8436216_
conceptdoi:10.5281/zenodo.8436215
id:20220912_MYT-surprise_UAV-02_3_
doi:10.5281/zenodo.8436221_
conceptdoi:10.5281/zenodo.8436220
id:20220914_MYT-ile-blanche_UAV-02_2_
doi:10.5281/zenodo.8436231_
conceptdoi:10.5281/zenodo.8436230
id:20220910_MYT-jolly-roger_UAV-02_3_
doi:10.5281/zenodo.8436243_
conceptdoi:10.5281/zenodo.8436242
id:20220913_MYT-ngouja_UAV-02_2_
doi:10.5281/zenodo.8436250_
conceptdoi:10.5281/zenodo.8436249
id:20220910_MYT-jollyroger_UAV-02_2_
doi:10.5281/zenodo.8436262_
conceptdoi:10.5281/zenodo.8436261
id:20220913_MYT-jollyroger_UAV-02_1_
doi:10.5281/zenodo.8436272_
conceptdoi:10.5281/zenodo.8436271
id:20220914_MYT-aeroport_UAV-02_1_
doi:10.5281/zenodo.8436276_
conceptdoi:10.5281/zenodo.8436275
id:20220913_MYT-ngouja_UAV-02_3_
doi:10.5281/zenodo.8436286_
conceptdoi:10.5281/zenodo.8436285
id:20220912_MYT-ile-blanche_UAV-02_1_
doi:10.5281/zenodo.8436301_
conceptdoi:10.5281/zenodo.8436300
id:20220911_MYT-jollyroger_UAV-02_2_
doi:10.5281/zenodo.8436305_
conceptdoi:10.5281/zenodo.8436304
id:20220911_MYT-musicalplage_UAV-02_3_
doi:10.5281/zenodo.8436311_
conceptdoi:10.5281/zenodo.8436310
[30]:
# ### Process in WebODM
print("#### Upload and process to WebODM")
odm_projects = list_all_projects()
for sess in range(len(df)):
print("\n", df.iloc[sess]['Identifier'])
fs = df.iloc[sess]['Identifier'].split("_\n")[0].split('id:')[1]
fd = os.path.join(input, df.iloc[sess]['Identifier'].split("_\n")[0].split('id:')[1], "DCIM")
print("Folder: ", sess +1, "/", len(df))
if fs in str(odm_projects):
# print(projects, odm_projects[projects]['id'], odm_projects[projects]['name'], odm_projects[projects]['tasks'])
print("Already processed ! Skipping ...")
pass
else:
res = process_webodm(fd)
# print(res.keys)
project_id = res["project"]
task_id = res["id"]
#### Check status
print("### Processing status")
check_process(project_id, task_id)
### Download Data
res = requests.post(settings.SERVER + '/api/token-auth/',
data={'username': settings.USERNAME,
'password': settings.PASSWORD}).json()
print("### Sent to processing. Watch on platform if correctly processed")
#### Upload and process to WebODM
Successfully Logged-in!
########
id name permissions
----------
227 20220911_MYT-jollyroger_UAV-02_1
224 20220911_MYT-musicalplage_UAV-02_3
223 20220911_MYT-jollyroger_UAV-02_2
222 20220912_MYT-ile-blanche_UAV-02_1
221 20220913_MYT-ngouja_UAV-02_3
220 20220914_MYT-aeroport_UAV-02_1
219 20220913_MYT-jollyroger_UAV-02_1
218 Premier projet
217 20220910_MYT-jollyroger_UAV-02_2
216 20220913_MYT-ngouja_UAV-02_2
215 20220910_MYT-jolly-roger_UAV-02_3
214 20220914_MYT-ile-blanche_UAV-02_2
213 20220912_MYT-surprise_UAV-02_3
212 20220911_MYT-aeroport_UAV-02_1
209 20220912_MYT-surprise_UAV-02_2
208 20220910_MYT-musicalplage_UAV-02_1
207 20220911_MYT-aeroport_UAV-02_2
206 20220914_MYT-aeroport_UAV-02_3
199 ALD_FRAMES_SUBSET_-9.3734_46.2131_2transectsFilt_RAW
198 ALD_FRAMES_SUBSET_-9.3734_46.2131_2transectsFilt
197 ALD_FRAMES_SUBSET_-9.3734_46.2131_rad_30_1698667597s
196 PyWebODM - 20230430_MDG-Nosy-Ve_UAV-01_3
195 PyWebODM - 20230502_MDG-Sarodrano-IOT_UAV-01_5
194 PyWebODM - 20230427_MDG-Toliara-Mangroves_UAV-01_1
193 20230430_MDG-Nosy-Ve_UAV-01_6
189 PyWebODM - 20230916_MDG-nosy-sakatia_UAV-02_1
188 20230906_REU-BOUCAN_ASV-1_01_frames_shortset_01_GEOTXT
187 ALD_DUBOIS_SUBSET_-9.4106_46.2109_rad_15_1698318058
165 20230906_REU-BOUCAN_ASV-1_01_frames_shortset_01
160 PyWebODM - 20221024_SYC-aldabra-passe-arm01_UAV-02_28
159 PyWebODM - 20221021_SYC-aldabra-arm01_UAV-02_10
156 PyWebODM - 20221024_SYC-aldabra-gigi_UAV-02_31
155 PyWebODM - 20221024_SYC-aldabra-gigi_UAV-02_30
154 PyWebODM - 20221024_SYC-aldabra-gigi_UAV-02_29
153 PyWebODM - 20221023_SYC-aldabra-arm06_UAV-02_21
152 PyWebODM - 20221023_SYC-aldabra-arm06_UAV-02_20
151 PyWebODM - 20221023_SYC-aldabra-arm06_UAV-02_19
150 PyWebODM - 20221023_SYC-aldabra-arm06_UAV-02_18
149 PyWebODM - 20221023_SYC-aldabra-arm06_UAV-02_17
148 PyWebODM - 20221022_SYC-aldabra-passe-dubois_UAV-02_14
147 PyWebODM - 20221022_SYC-aldabra-passe-dubois_UAV-02_13
146 PyWebODM - 20221022_SYC-aldabra-passe-dubois_UAV-02_12
144 PyWebODM - 20221022_SYC-aldabra-arm06_UAV-02_16
143 PyWebODM - 20221022_SYC-aldabra-arm06_UAV-02_15
142 PyWebODM - 20221021_SYC-aldabra-arm01_UAV-02_9
141 PyWebODM - 20221021_SYC-aldabra-arm01_UAV-02_7
139 PyWebODM - 20221025_SYC-aldabra-arm01_UAV-02_33
122 PyWebODM - 20221024_SYC-aldabra-passe-dubois-MSP_UAV-02_27
121 PyWebODM - 20221024_SYC-aldabra-passe-dubois-40m_UAV-02_26
120 PyWebODM - 20221024_SYC-aldabra-passe-dubois-40m_UAV-02_25
119 PyWebODM - 20221024_SYC-aldabra-passe-dubois-40m_UAV-02_24
118 PyWebODM - 20221024_SYC-aldabra-passe-dubois-40m_UAV-02_23
101 PyWebODM - 20221021_SYC-aldabra-arm01_UAV-02_8
98 PyWebODM - 20220920_SYC-aldabra-arm01_UAV-02_6
97 PyWebODM - 20220920_SYC-aldabra-arm01_UAV-02_5
96 PyWebODM - 20220920_SYC-aldabra-arm01_UAV-02_4
95 PyWebODM - 20220920_SYC-aldabra-arm01_UAV-02_3
94 PyWebODM - 20220920_SYC-aldabra-arm01_UAV-02_2
93 PyWebODM - 20220920_SYC-aldabra-arm01_UAV-02_1
92 PyWebODM - 20220919_SYC-aldabra-arm01_UAV-02_1
91 yann
90 First Project
89 20230626_COM-mitsamiouli_UAV-01_2
88 20230628_COM-maloudja_UAV-02_2
87 20230626_COM-bandamaji_UAV-01_1
86 20230626_COM-bandamaji_UAV-02_1
85 20230626_COM-bangoua-kouni_UAV-01_1
84 20230627_COM-vouvouni_UAV-01_2
83 20230626_COM-mitsamiouli_UAV-02_1
82 20230627_COM-vouvouni_UAV-02_1
81 20230627_COM-vouvouni_UAV-01_1
80 20230701_COM-nioumadzaha-mitsoudje_UAV-01_2
79 20230627_COM-vouvouni_UAV-02_2
78 20230701_COM-nioumadzaha-mitsoudje_UAV-01_1
77 20230626_COM-mitsamiouli_UAV-01_1
76 20230701_COM-nioumadzaha-mitsoudje_UAV-01_3
75 20230626_COM-bandamaji_UAV-01_2
74 20230701_COM-nioumadzaha-mitsoudje_UAV-02_1
73 20230626_COM-bangoua-kouni_UAV-02_1
72 Premier projet
71 PyWebODM - 20230917_MDG-nosy-fanhy_UAV_02
69 20230917_MDG-nosy-fanhy_UAV-02_4
68 20230917_MDG-nosy-fanhy_UAV-02_3
67 20230917_MDG-nosy-fanhy_UAV-02_2
66 20230917_MDG-nosy-fanhy_UAV-02_1
64 20230915_MDG-nosy-sakatia_UAV-02_2
63 20230915_MDG-nosy-sakatia_UAV-02_1
62 20230912_MDG-nosy-sakatia_UAV-02_1
59 aldabra_session_20221021_6187images
58 20230524_REU-ermitage_UAV-02_4
57 20230501_MDG-Anakao-Prince-Anakao_UAV-01_7
56 20230501_MDG-Anakao-Prince-Anakao_UAV-01_6
55 20230507_MDG-Mangily-Massif-Roses_UAV-01_2
54 20230507_MDG-Mangily-Massif-Roses_UAV-01_3
47 20230505_MDG-Sarodrano-village_UAV-01_1
45 20230505_MDG-Sarodrano-Reef-Manjaka-Gauche_UAV-01_14
42 20230505_MDG-Sarodrano-Reef-Manjaka-Gauche_UAV-01_14
39 20230504_MDG-Saint-Augustin-pirogues_UAV-01_2
38 20230504_MDG-Nosy-Velomitahy_UAV-01_6
35 20230507_MDG-Mangily-estran_UAV-01_4
34 20230507_MDG-Mangily-estran_UAV-01_3
33 20230506_MDG-Mangily-estran_UAV-01_2
32 20230506_MDG-Mangily-estran_UAV-01_1
30 20230505_MDG-Sarodrano-Reef-Manjaka-Gauche_UAV-01_15
29 20230505_MDG-Sarodrano-Reef-Manjaka-Gauche_UAV-01_14
28 20230505_MDG-GRT-fausse-passe_UAV-01_8
27 20230505_MDG-GRT-fausse-passe_UAV-01_7
26 20230504_MDG-Saint-Augustin-pirogues_UAV-01_2
25 20230504_MDG-Nosy-Velomitahy_UAV-01_6
24 20230504_MDG-GRT-micro-atoll-zone-B_UAV-01_2
23 20230504_MDG-GRT-micro-atoll-zone-B_UAV-01_1
22 20230503_MDG-Sarodrano-IOT_UAV-01_9
21 20230503_MDG-Sarodrano-IOT_UAV-01_11
20 20230503_MDG-Sarodrano-IHSM-Belaza_UAV-01_13
19 20230503_MDG-Nosy-Veolmitahy_UAV-01_2
18 20230502_MDG-Sarodrano-pirogues_UAV-01_7
17 20230502_MDG-Sarodrano-IOT_UAV-01_6
13 20230501_MDG-Anakao-Prince-Anakao_UAV-01_4
12 20230501_MDG-Anakao-Prince-Anakao_UAV-01_3
11 20230501_MDG-Anakao-Prince-Anakao_UAV-01_2
9 20230430_MDG-Nosy-Ve_UAV-01_5
7 20230430_MDG-Nosy-Ve_UAV-01_2
6 20230430_MDG-Nosy-Ve_UAV-01_1
5 20230429_MDG-Anakao-Prince-Anakao_UAV-01_1
440 20230507_MDG-massif-des-roses_UAV-02_2
439 20230507_MDG-massif-des-roses_UAV-02_1
438 20230507_MDG-ifaty_UAV-02_1
437 20230505_MDG-sarodrano_UAV-02_2
436 20230505_MDG-sarodrano_UAV-02_1
435 20230504_MDG-saintaugustin_UAV-02_1
434 20230504_MDG-atoll_UAV-02_1
433 20230503_MDG-iot_UAV-02_1
432 20230502_MDG-sarodrano_UAV-02_1
431 20230502_MDG-iot_UAV-02_1
430 20230502_MDG-anakao_UAV-02_1
428 20230430_MDG-nosyve_UAV-02_3
427 20230430_MDG-nosyve_UAV-02_2
426 20230430_MDG-nosyve_UAV-02_1
424 20230427_MDG-tulear_UAV-02_1
423 20230802_REU-ermitage_UAV-02_1
422 20230705_REU-ermitage_UAV-02_1
420 20230524_REU-ermitage_UAV-02_3
419 20230524_REU-ermitage_UAV-02_2
412 PyWebODM - gp3 -plancha
411 PyWebODM - gp2 -plancha
410 PyWebODM - gp1 - gp2 10k images -plancha
409 plancha - cap lahoussay 3 cams
408 session_2022_09_12_mayotte-fmr-surprise_Mavic2Pro_2
400 PyWebODM - uav_2023_07_20_terre-sainte_Mavic2Pro_02_2
399 PyWebODM - uav_2023_07_20_terre-sainte_Mavic2Pro_02_1
397 PyWebODM - uav_2023_06_26_bandamaji_Mavic2Pro_02_1
396 PyWebODM - uav_2023_07_01_Nioumadzaha-Mitsoudje_Mavic2Pro_01_1
392 PyWebODM - uav_2023_06_26_bandamaji_Mavic2Pro_01_2
391 PyWebODM - uav_2023_06_26_bandamaji_Mavic2Pro_01_1
390 PyWebODM - uav_2023_06_27_Mitsamiouli_Mavic2Pro_01_1
385 PyWebODM - uav_2023_06_27_Bangoua-Kouni_Mavic2Pro_01_1
378 PyWebODM - uav_2023_06_27_Vouvouni_Mavic2Pro_01_1
375 2023_06_29_Maloudja_drone_julien_Mission3
373 2023_06_29_Maloudja_drone_julien_Mission2
367 Maru Umbi GoPro
366 2023_05_01_Anakao_Prince_Anakao_drone_julien_Mission2
365 Demo Drone&Cap
364 Demo falaise
363 Massif des roses
362 corps_mort_ilot_bandrelé
361 corauxsp_ilot_bandrelé
360 Pchyseris_ilot_bandrelé
359 piscine_du_sud_LeptoriaPhrygia
358 Hélice_bateau
357 piscine_du_sud_Patch2
356 piscine-du-sud_ancre
355 piscine-du-sud_patch_corallien
354 Saint Paul Etang
353 Passe en S - corail col
352 salle_gonf_pole_opp
350 20230524_REU-ermitage_UAV-02_1
349 plancha ifaty
348 Ifaty - 07/05/2023
347 elements_pole_ope_PNMM
346 2023_05_06_Mangily_Hotel
345 2023_05_06_Mangily
344 2023_05_05_passe3
343 2023_05_05_GRT_passe2
342 2023_05_05
341 2023_05_07_massif_des_roses_gaetan_v2
340 2023_05_05_GRT_passe3
339 2023_05_05_passe_2
338 2023_05_05_Gauche_Manjaka_1
337 2023_05_07_massif_des_roses_gaetan
336 2023_05_05_Gauche_Manjaka_2
335 2023_05_05_Gauche_Manjaka
334 2023_05_03_sarodrano_IHSM_Belaza
333 2023_05_07_Mangily_cote2
332 2023_05_07_Mangily_cote1
331 2023_05_07_Mangily_Massif_Roses_drone_julien_vol2
330 2023_05_07_Mangily_Massif_Roses_drone_julien_vol1
329 Sarodrano_drone_matteo_sylvain
328 2023_05_04_Saint_Augustin_Pirogues
327 2023_05_04_GRT_micro_atoll_zone_B
326 Nosy_Velomitahy_2023_05_04
325 Nosy_Ve_2023_04_30_3
324 Nosy_Ve_2023_04_30_bis
323 Anakao_Prince_2020_04_29
322 Nosy_Ve_2
321 Nosy_Ve
320 demo_hab
318 pirogue_toliara
317 Poseidon_t4_TELEMAC
316 toliara_ihsm_droneSP_042023
315 arms_ihsm_jose
314 Mangrove IH.SM
313 DemoToliara
312 demo_geohab_artificialreef_ae_t1
311 demo_geohab_col_su_8
310 demo_geohab_col_su_14
309 demo_geohab_col_su_13
305 PyWebODM - uav_2022_10_24_aldabra-passe-dubois40m_Mavic2Pro_23
303 PyWebODM - 20221025_SYC-aldabra-arm01_UAV-02_32
302 PyWebODM - uav_2022_10_21_aldabra-arm01_Mavic2Pro_7
301 PyWebODM - uav_2022_09_20_aldabra-arm01_Mavic2Pro_1
300 PyWebODM - uav_2022_10_23_aldabra-arm06_Mavic2Pro_17
297 PyWebODM - uav_2022_10_24_aldabra-gigi_Mavic2Pro
296 PyWebODM - uav_2022_10_22_aldabra-passe-dubois_Mavic2Pro
295 PyWebODM - 20221022_SYC-aldabra-passe-dubois_UAV-02
275 dubois_test_cumul_modified_colors
274 dubois_test_cumul_no_modify_color
273 PyWebODM - dubois N4
271 photo_test_dubois_N4
192 2022_10_20_arm01_v1a_01
191 ARM01_Plancha_test
186 Test Ermitage Plancha
185 herbier total test
184 PorsmilinRTK_2022
181 Porsmilin_2015
180 Herbier 2023 suite
178 herbier
175 photogrametrie carnon
173 Mayotte_ib12
172 Mayotte_ib
170 Nosy_Komba
169 Sarodrano_2022_10_05
168 Anakao_2022_10_13
167 Ifaty_seagrass
166 test
162 PyWebODM - uav_2022_10_24_aldabra-passe-dubois40m_Mavic2Pro_24
161 PyWebODM - uav_2022_10_24_aldabra-passe-dubois40m_Mavic2Pro_23
158 PyWebODM - uav_2022_10_23_aldabra-arm06_Mavic2Pro_20
157 PyWebODM - uav_2022_10_23_aldabra-arm06_Mavic2Pro_19
140 PyWebODM - uav_2022_10_23_aldabra-arm06_Mavic2Pro_17
138 PyWebODM - uav_2022_10_22_aldabra-passe-dubois_Mavic2Pro_13
137 PyWebODM - uav_2022_10_22_aldabra-passe-dubois_Mavic2Pro_12
136 PyWebODM - 20221022_SYC-aldabra-passe-dubois_UAV-02_11
134 PyWebODM - uav_2022_10_22_aldabra-arm06_Mavic2Pro_15
133 PyWebODM - uav_2022_10_21_aldabra-arm01_Mavic2Pro_9
132 PyWebODM - uav_2022_10_21_aldabra-arm01_Mavic2Pro_8
131 PyWebODM - uav_2022_10_21_aldabra-arm01_Mavic2Pro_7
129 PyWebODM - uav_2022_09_20_aldabra-arm01_Mavic2Pro_6
127 PyWebODM - uav_2022_09_20_aldabra-arm01_Mavic2Pro_4
126 PyWebODM - uav_2022_09_20_aldabra-arm01_Mavic2Pro_3
125 PyWebODM - uav_2022_09_20_aldabra-arm01_Mavic2Pro_2
124 PyWebODM - uav_2022_09_20_aldabra-arm01_Mavic2Pro_1
123 PyWebODM - uav_2022_09_19_aldabra-arm01_Mavic2Pro_1
117 PyWebODM - session_2022_09_14_mayotte-fmr-ile-blanche_Mavic2Pro_2
116 PyWebODM - session_2022_09_14_mayotte-fmr-aeroport_Mavic2Pro_3
115 PyWebODM - session_2022_09_14_mayotte-fmr-aeroport_Mavic2Pro_1
114 PyWebODM - session_2022_09_13_mayotte-fmr-ngouja_Mavic2Pro_3
113 PyWebODM - session_2022_09_13_mayotte-fmr-ngouja_Mavic2Pro_2
112 PyWebODM - session_2022_09_13_mayotte-fmr-jollyroger_Mavic2Pro_1
111 PyWebODM - session_2022_09_12_mayotte-fmr-surprise_Mavic2Pro_3
110 PyWebODM - session_2022_09_12_mayotte-fmr-surprise_Mavic2Pro_2
109 PyWebODM - session_2022_09_12_mayotte-fmr-ile-blanche_Mavic2Pro_1
108 PyWebODM - session_2022_09_11_mayotte-fmr-musicalplage_Mavic2Pro_3
107 PyWebODM - session_2022_09_11_mayotte-fmr-jollyroger_Mavic2Pro_2
106 PyWebODM - session_2022_09_11_mayotte-fmr-jollyroger_Mavic2Pro_1
105 PyWebODM - session_2022_09_11_mayotte-fmr-aeroport_Mavic2Pro_2
104 PyWebODM - session_2022_09_11_mayotte-fmr-aeroport_Mavic2Pro_1
103 PyWebODM - session_2022_09_10_mayotte-fmr-musicalplage_Mavic2Pro_1v2
102 PyWebODM - session_2022_09_10_mayotte-fmr-musicalplage_Mavic2Pro_1
100 PyWebODM - session_2022_09_10_mayotte-fmr-jolly-roger_Mavic2Pro_3
99 PyWebODM - session_2022_09_10_mayotte-fmr-jollyroger_Mavic2Pro_2
53 Ifaty
51 semis_priorité_25052022
50 Mayotte - Ngouja 2
49 Semis_priorité_Grenoble_29072022
48 Mayotte - Ngouja
46 Galibier19072022
43 test_P_cilyndrica
41 2019_10_14_Morne
40 grandfond
37 Mayotte FMR - Ile Blanche
36 Mayotte FMR - Aéroport
31 08/07/2022 sortie test
16 Colonie coralienne 12
15 Colonie coralienne 3
14 Colonie coralienne 2
10 Ilôt Sancho
8 Bleaching Morne
id:20220914_MYT-aeroport_UAV-02_3_
doi:10.5281/zenodo.8432872_
conceptdoi:10.5281/zenodo.8432871
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id:20220911_MYT-aeroport_UAV-02_2_
doi:10.5281/zenodo.8432885_
conceptdoi:10.5281/zenodo.8432884
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id:20220910_MYT-musicalplage_UAV-02_1_
doi:10.5281/zenodo.8432891_
conceptdoi:10.5281/zenodo.8432890
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id:20220912_MYT-surprise_UAV-02_2_
doi:10.5281/zenodo.8432895_
conceptdoi:10.5281/zenodo.8432894
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id:20220911_MYT-jollyroger_UAV-02_1_
doi:10.5281/zenodo.8436204_
conceptdoi:10.5281/zenodo.8436203
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id:20220911_MYT-aeroport_UAV-02_1_
doi:10.5281/zenodo.8436216_
conceptdoi:10.5281/zenodo.8436215
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id:20220912_MYT-surprise_UAV-02_3_
doi:10.5281/zenodo.8436221_
conceptdoi:10.5281/zenodo.8436220
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id:20220914_MYT-ile-blanche_UAV-02_2_
doi:10.5281/zenodo.8436231_
conceptdoi:10.5281/zenodo.8436230
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id:20220910_MYT-jolly-roger_UAV-02_3_
doi:10.5281/zenodo.8436243_
conceptdoi:10.5281/zenodo.8436242
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id:20220913_MYT-ngouja_UAV-02_2_
doi:10.5281/zenodo.8436250_
conceptdoi:10.5281/zenodo.8436249
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id:20220910_MYT-jollyroger_UAV-02_2_
doi:10.5281/zenodo.8436262_
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id:20220913_MYT-jollyroger_UAV-02_1_
doi:10.5281/zenodo.8436272_
conceptdoi:10.5281/zenodo.8436271
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id:20220914_MYT-aeroport_UAV-02_1_
doi:10.5281/zenodo.8436276_
conceptdoi:10.5281/zenodo.8436275
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id:20220913_MYT-ngouja_UAV-02_3_
doi:10.5281/zenodo.8436286_
conceptdoi:10.5281/zenodo.8436285
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id:20220912_MYT-ile-blanche_UAV-02_1_
doi:10.5281/zenodo.8436301_
conceptdoi:10.5281/zenodo.8436300
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id:20220911_MYT-jollyroger_UAV-02_2_
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id:20220911_MYT-musicalplage_UAV-02_3_
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### Sent to processing. Watch on platform if correctly processed
Part 5. Download from ODM
[47]:
# Take csv generated from python's zenodo upload as updated dataframe
df = {}
# df = pd.read_csv(os.path.join(input, out_prefix + '_zenodo-rawdata.csv'))
df = pd.read_csv(os.path.join(output, 'zenodo_entities_1_with_pids_for_publication.csv'))
df.head()
[47]:
| Identifier | Title | Description | Subject | Creator | Date | Type | Language | SpatialCoverage | TemporalCoverage | Relation | Rights | Provenance | Format | Data | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | id:20220914_MYT-aeroport_UAV-02_3_\ndoi:10.528... | title:Images drone UAV, Aeroport, Mayotte - 20... | abstract:"Jeu de données composé d’images de d... | theme[General]:Future Maore Reef,drone,lagon,c... | author:sylvain.poulain@ird.fr,isabel.urbina-ba... | publication:2023-10-11_\nedition:2023-10-11 | dataset | fra | NaN | 2022-09-14 11-35-17 - 2022-09-14 11-49-42 | thumbnail:Future Maore Reef@https://www.future... | useLimitation:Utilisation libre sous réserve d... | statement:"- Camera model and parameters:\n Ma... | resource:image/jpg_\ndistribution:application/... | source:METADATA.zip@/home/sylvain/DATA/Mayotte... |
| 1 | id:20220911_MYT-aeroport_UAV-02_2_\ndoi:10.528... | title:Images drone UAV, Aeroport, Mayotte - 20... | abstract:"Jeu de données composé d’images de d... | theme[General]:Future Maore Reef,drone,lagon,c... | author:sylvain.poulain@ird.fr,isabel.urbina-ba... | publication:2023-10-11_\nedition:2023-10-11 | dataset | fra | NaN | 2022-09-11 15-18-37 - 2022-09-11 15-26-13 | thumbnail:Future Maore Reef@https://www.future... | useLimitation:Utilisation libre sous réserve d... | statement:"- Camera model and parameters:\n Ma... | resource:image/jpg_\ndistribution:application/... | source:METADATA.zip@/home/sylvain/DATA/Mayotte... |
| 2 | id:20220910_MYT-musicalplage_UAV-02_1_\ndoi:10... | title:Images drone UAV, Musicalplage, Mayotte ... | abstract:"Jeu de données composé d’images de d... | theme[General]:Future Maore Reef,drone,lagon,c... | author:sylvain.poulain@ird.fr,isabel.urbina-ba... | publication:2023-10-11_\nedition:2023-10-11 | dataset | fra | NaN | 2022-09-10 11-00-06 - 2022-09-10 11-07-35 | thumbnail:Future Maore Reef@https://www.future... | useLimitation:Utilisation libre sous réserve d... | statement:"- Camera model and parameters:\n Ma... | resource:image/jpg_\ndistribution:application/... | source:METADATA.zip@/home/sylvain/DATA/Mayotte... |
| 3 | id:20220912_MYT-surprise_UAV-02_2_\ndoi:10.528... | title:Images drone UAV, Surprise, Mayotte - 20... | abstract:"Jeu de données composé d’images de d... | theme[General]:Future Maore Reef,drone,lagon,c... | author:sylvain.poulain@ird.fr,isabel.urbina-ba... | publication:2023-10-11_\nedition:2023-10-11 | dataset | fra | NaN | 2022-09-12 12-31-19 - 2022-09-12 12-45-40 | thumbnail:Future Maore Reef@https://www.future... | useLimitation:Utilisation libre sous réserve d... | statement:"- Camera model and parameters:\n Ma... | resource:image/jpg_\ndistribution:application/... | source:METADATA.zip@/home/sylvain/DATA/Mayotte... |
| 4 | id:20220911_MYT-jollyroger_UAV-02_1_\ndoi:10.5... | title:Images drone UAV, Jollyroger, Mayotte - ... | abstract:"Jeu de données composé d’images de d... | theme[General]:Future Maore Reef,drone,lagon,c... | author:sylvain.poulain@ird.fr,isabel.urbina-ba... | publication:2023-10-11_\nedition:2023-10-11 | dataset | fra | NaN | 2022-09-11 08-37-19 - 2022-09-11 08-55-09 | thumbnail:Future Maore Reef@https://www.future... | useLimitation:Utilisation libre sous réserve d... | statement:"- Camera model and parameters:\n Ma... | resource:image/jpg_\ndistribution:application/... | source:METADATA.zip@/home/sylvain/DATA/Mayotte... |
[34]:
### SEARCH AND DOWNLOAD FROM ODM
odm_projects = list_all_projects()
for projects in range(len(odm_projects)):
for p in range(len(df)):
if df.iloc[p]['Identifier'].split('_\n')[0].split(':')[1] in odm_projects[projects]['name']:
print("\n", str(p+1), "/", len(df))
print(projects, odm_projects[projects]['id'], odm_projects[projects]['name'], odm_projects[projects]['tasks'])
project_id = odm_projects[projects]['id']
tasks = odm_projects[projects]['tasks']
res = requests.post(settings.SERVER + '/api/token-auth/',
data={'username': settings.USERNAME,
'password': settings.PASSWORD}).json()
if 'token' in res:
print("Still logged-in!")
token = res['token']
for task in range(len(tasks)):
task_id = tasks[task]
print(task_id)
res = requests.get(settings.SERVER + "/api/projects/{}/tasks/{}/download/all.zip".format(project_id, task_id),
headers={'Authorization': 'JWT {}'.format(token)},
stream=True)
# token = res['token']
sess_path = os.path.join(input, df.iloc[p]['Identifier'].split('_\n')[0].split(':')[1])
file_newname = 'PROCESSED_DATA.zip'
### Reading PROCESSED_DATA folder
### Check and create PROCESSED_DATA Directory if it not exists
# process_dir=os.path.join(sess_path, 'PROCESSED_DATA')
# if os.path.exists(process_dir):
if os.path.exists(sess_path):
if 'PROCESSED_DATA.zip' in os.listdir(sess_path):
print("INFO: data already found in {} !".format(df.iloc[p]['Identifier'].split('_\n')[0].split(':')[1]))
else:
# print("INFO: Create PROCESSED_DATA folder in {} folder")
# os.mkdir(process_dir)
print("Downloading all.zip")
with open(os.path.join(input, df.iloc[p]['Identifier'].split('_\n')[0].split(':')[1], "all.zip"), 'wb') as f:
for chunk in res.iter_content(chunk_size=1024):
if chunk:
f.write(chunk)
# file_newname = "ortho_" + df.iloc[p]['Identifier'].split('_\n')[0].split(':')[1] + ".tif"
# file_newname = 'PROCESSED_DATA.zip'
print("Renaming all.zip to PROCESSED_DATA.zip")
os.rename(os.path.join(sess_path, "all.zip"), os.path.join(sess_path, file_newname))
print("Saved " + file_newname)
res = requests.get(settings.SERVER + "/api/projects/{}/tasks/{}/download/report.pdf".format(project_id, task_id),
headers={'Authorization': 'JWT {}'.format(token)},
stream=True)
pdf_newname = '000_photogrammetry_report.pdf'
if pdf_newname in os.listdir(sess_path):
print("INFO: PDF already found in {} !".format(df.iloc[p]['Identifier'].split('_\n')[0].split(':')[1]))
else:
print("Downloading report.pdf")
with open(os.path.join(input, df.iloc[p]['Identifier'].split('_\n')[0].split(':')[1], "report.pdf"), 'wb') as pdf:
for chunk in res.iter_content(chunk_size=1024):
if chunk:
pdf.write(chunk)
os.rename(os.path.join(sess_path, "report.pdf"), os.path.join(sess_path, pdf_newname))
print("Saved " + pdf_newname)
### Enrich Metadata
dfdlodm = df
dfdlodm.iloc[p, dfdlodm.columns.get_loc('Provenance')] = dfdlodm.iloc[p]["Provenance"] + "_\nprocess:Download from WebODM"
dfdlodm.iloc[p, dfdlodm.columns.get_loc('Format')] = "resource:image/tiff_\ndistribution:image/tiff[GeoTIFF]"
dfdlodm.iloc[p, dfdlodm.columns.get_loc('Data')] = pdf_newname + "@"+ os.path.join(sess_path, pdf_newname) + "," + file_newname + "@"+ os.path.join(sess_path, file_newname) + "_\nsourceType:other_\nsourceZip:False"
Successfully Logged-in!
########
id name permissions
----------
227 20220911_MYT-jollyroger_UAV-02_1
224 20220911_MYT-musicalplage_UAV-02_3
223 20220911_MYT-jollyroger_UAV-02_2
222 20220912_MYT-ile-blanche_UAV-02_1
221 20220913_MYT-ngouja_UAV-02_3
219 20220913_MYT-jollyroger_UAV-02_1
217 20220910_MYT-jollyroger_UAV-02_2
215 20220910_MYT-jolly-roger_UAV-02_3
214 20220914_MYT-ile-blanche_UAV-02_2
213 20220912_MYT-surprise_UAV-02_3
212 20220911_MYT-aeroport_UAV-02_1
209 20220912_MYT-surprise_UAV-02_2
208 20220910_MYT-musicalplage_UAV-02_1
207 20220911_MYT-aeroport_UAV-02_2
199 ALD_FRAMES_SUBSET_-9.3734_46.2131_2transectsFilt_RAW
198 ALD_FRAMES_SUBSET_-9.3734_46.2131_2transectsFilt
197 ALD_FRAMES_SUBSET_-9.3734_46.2131_rad_30_1698667597s
196 PyWebODM - 20230430_MDG-Nosy-Ve_UAV-01_3
195 PyWebODM - 20230502_MDG-Sarodrano-IOT_UAV-01_5
194 PyWebODM - 20230427_MDG-Toliara-Mangroves_UAV-01_1
193 20230430_MDG-Nosy-Ve_UAV-01_6
189 PyWebODM - 20230916_MDG-nosy-sakatia_UAV-02_1
188 20230906_REU-BOUCAN_ASV-1_01_frames_shortset_01_GEOTXT
187 ALD_DUBOIS_SUBSET_-9.4106_46.2109_rad_15_1698318058
165 20230906_REU-BOUCAN_ASV-1_01_frames_shortset_01
160 PyWebODM - 20221024_SYC-aldabra-passe-arm01_UAV-02_28
159 PyWebODM - 20221021_SYC-aldabra-arm01_UAV-02_10
156 PyWebODM - 20221024_SYC-aldabra-gigi_UAV-02_31
155 PyWebODM - 20221024_SYC-aldabra-gigi_UAV-02_30
154 PyWebODM - 20221024_SYC-aldabra-gigi_UAV-02_29
153 PyWebODM - 20221023_SYC-aldabra-arm06_UAV-02_21
152 PyWebODM - 20221023_SYC-aldabra-arm06_UAV-02_20
151 PyWebODM - 20221023_SYC-aldabra-arm06_UAV-02_19
150 PyWebODM - 20221023_SYC-aldabra-arm06_UAV-02_18
149 PyWebODM - 20221023_SYC-aldabra-arm06_UAV-02_17
148 PyWebODM - 20221022_SYC-aldabra-passe-dubois_UAV-02_14
147 PyWebODM - 20221022_SYC-aldabra-passe-dubois_UAV-02_13
146 PyWebODM - 20221022_SYC-aldabra-passe-dubois_UAV-02_12
144 PyWebODM - 20221022_SYC-aldabra-arm06_UAV-02_16
143 PyWebODM - 20221022_SYC-aldabra-arm06_UAV-02_15
142 PyWebODM - 20221021_SYC-aldabra-arm01_UAV-02_9
141 PyWebODM - 20221021_SYC-aldabra-arm01_UAV-02_7
139 PyWebODM - 20221025_SYC-aldabra-arm01_UAV-02_33
122 PyWebODM - 20221024_SYC-aldabra-passe-dubois-MSP_UAV-02_27
121 PyWebODM - 20221024_SYC-aldabra-passe-dubois-40m_UAV-02_26
120 PyWebODM - 20221024_SYC-aldabra-passe-dubois-40m_UAV-02_25
119 PyWebODM - 20221024_SYC-aldabra-passe-dubois-40m_UAV-02_24
118 PyWebODM - 20221024_SYC-aldabra-passe-dubois-40m_UAV-02_23
101 PyWebODM - 20221021_SYC-aldabra-arm01_UAV-02_8
98 PyWebODM - 20220920_SYC-aldabra-arm01_UAV-02_6
97 PyWebODM - 20220920_SYC-aldabra-arm01_UAV-02_5
96 PyWebODM - 20220920_SYC-aldabra-arm01_UAV-02_4
95 PyWebODM - 20220920_SYC-aldabra-arm01_UAV-02_3
94 PyWebODM - 20220920_SYC-aldabra-arm01_UAV-02_2
93 PyWebODM - 20220920_SYC-aldabra-arm01_UAV-02_1
92 PyWebODM - 20220919_SYC-aldabra-arm01_UAV-02_1
91 yann
90 First Project
89 20230626_COM-mitsamiouli_UAV-01_2
88 20230628_COM-maloudja_UAV-02_2
87 20230626_COM-bandamaji_UAV-01_1
86 20230626_COM-bandamaji_UAV-02_1
85 20230626_COM-bangoua-kouni_UAV-01_1
84 20230627_COM-vouvouni_UAV-01_2
83 20230626_COM-mitsamiouli_UAV-02_1
82 20230627_COM-vouvouni_UAV-02_1
81 20230627_COM-vouvouni_UAV-01_1
80 20230701_COM-nioumadzaha-mitsoudje_UAV-01_2
79 20230627_COM-vouvouni_UAV-02_2
78 20230701_COM-nioumadzaha-mitsoudje_UAV-01_1
77 20230626_COM-mitsamiouli_UAV-01_1
76 20230701_COM-nioumadzaha-mitsoudje_UAV-01_3
75 20230626_COM-bandamaji_UAV-01_2
74 20230701_COM-nioumadzaha-mitsoudje_UAV-02_1
73 20230626_COM-bangoua-kouni_UAV-02_1
72 Premier projet
71 PyWebODM - 20230917_MDG-nosy-fanhy_UAV_02
69 20230917_MDG-nosy-fanhy_UAV-02_4
68 20230917_MDG-nosy-fanhy_UAV-02_3
67 20230917_MDG-nosy-fanhy_UAV-02_2
66 20230917_MDG-nosy-fanhy_UAV-02_1
64 20230915_MDG-nosy-sakatia_UAV-02_2
63 20230915_MDG-nosy-sakatia_UAV-02_1
62 20230912_MDG-nosy-sakatia_UAV-02_1
59 aldabra_session_20221021_6187images
58 20230524_REU-ermitage_UAV-02_4
57 20230501_MDG-Anakao-Prince-Anakao_UAV-01_7
56 20230501_MDG-Anakao-Prince-Anakao_UAV-01_6
55 20230507_MDG-Mangily-Massif-Roses_UAV-01_2
54 20230507_MDG-Mangily-Massif-Roses_UAV-01_3
47 20230505_MDG-Sarodrano-village_UAV-01_1
45 20230505_MDG-Sarodrano-Reef-Manjaka-Gauche_UAV-01_14
42 20230505_MDG-Sarodrano-Reef-Manjaka-Gauche_UAV-01_14
39 20230504_MDG-Saint-Augustin-pirogues_UAV-01_2
38 20230504_MDG-Nosy-Velomitahy_UAV-01_6
35 20230507_MDG-Mangily-estran_UAV-01_4
34 20230507_MDG-Mangily-estran_UAV-01_3
33 20230506_MDG-Mangily-estran_UAV-01_2
32 20230506_MDG-Mangily-estran_UAV-01_1
30 20230505_MDG-Sarodrano-Reef-Manjaka-Gauche_UAV-01_15
29 20230505_MDG-Sarodrano-Reef-Manjaka-Gauche_UAV-01_14
28 20230505_MDG-GRT-fausse-passe_UAV-01_8
27 20230505_MDG-GRT-fausse-passe_UAV-01_7
26 20230504_MDG-Saint-Augustin-pirogues_UAV-01_2
25 20230504_MDG-Nosy-Velomitahy_UAV-01_6
24 20230504_MDG-GRT-micro-atoll-zone-B_UAV-01_2
23 20230504_MDG-GRT-micro-atoll-zone-B_UAV-01_1
22 20230503_MDG-Sarodrano-IOT_UAV-01_9
21 20230503_MDG-Sarodrano-IOT_UAV-01_11
20 20230503_MDG-Sarodrano-IHSM-Belaza_UAV-01_13
19 20230503_MDG-Nosy-Veolmitahy_UAV-01_2
18 20230502_MDG-Sarodrano-pirogues_UAV-01_7
17 20230502_MDG-Sarodrano-IOT_UAV-01_6
13 20230501_MDG-Anakao-Prince-Anakao_UAV-01_4
12 20230501_MDG-Anakao-Prince-Anakao_UAV-01_3
11 20230501_MDG-Anakao-Prince-Anakao_UAV-01_2
9 20230430_MDG-Nosy-Ve_UAV-01_5
7 20230430_MDG-Nosy-Ve_UAV-01_2
6 20230430_MDG-Nosy-Ve_UAV-01_1
5 20230429_MDG-Anakao-Prince-Anakao_UAV-01_1
440 20230507_MDG-massif-des-roses_UAV-02_2
439 20230507_MDG-massif-des-roses_UAV-02_1
438 20230507_MDG-ifaty_UAV-02_1
437 20230505_MDG-sarodrano_UAV-02_2
436 20230505_MDG-sarodrano_UAV-02_1
435 20230504_MDG-saintaugustin_UAV-02_1
434 20230504_MDG-atoll_UAV-02_1
433 20230503_MDG-iot_UAV-02_1
432 20230502_MDG-sarodrano_UAV-02_1
431 20230502_MDG-iot_UAV-02_1
430 20230502_MDG-anakao_UAV-02_1
428 20230430_MDG-nosyve_UAV-02_3
427 20230430_MDG-nosyve_UAV-02_2
426 20230430_MDG-nosyve_UAV-02_1
424 20230427_MDG-tulear_UAV-02_1
423 20230802_REU-ermitage_UAV-02_1
422 20230705_REU-ermitage_UAV-02_1
420 20230524_REU-ermitage_UAV-02_3
419 20230524_REU-ermitage_UAV-02_2
412 PyWebODM - gp3 -plancha
411 PyWebODM - gp2 -plancha
410 PyWebODM - gp1 - gp2 10k images -plancha
409 plancha - cap lahoussay 3 cams
408 session_2022_09_12_mayotte-fmr-surprise_Mavic2Pro_2
400 PyWebODM - uav_2023_07_20_terre-sainte_Mavic2Pro_02_2
399 PyWebODM - uav_2023_07_20_terre-sainte_Mavic2Pro_02_1
397 PyWebODM - uav_2023_06_26_bandamaji_Mavic2Pro_02_1
396 PyWebODM - uav_2023_07_01_Nioumadzaha-Mitsoudje_Mavic2Pro_01_1
392 PyWebODM - uav_2023_06_26_bandamaji_Mavic2Pro_01_2
391 PyWebODM - uav_2023_06_26_bandamaji_Mavic2Pro_01_1
390 PyWebODM - uav_2023_06_27_Mitsamiouli_Mavic2Pro_01_1
385 PyWebODM - uav_2023_06_27_Bangoua-Kouni_Mavic2Pro_01_1
378 PyWebODM - uav_2023_06_27_Vouvouni_Mavic2Pro_01_1
375 2023_06_29_Maloudja_drone_julien_Mission3
373 2023_06_29_Maloudja_drone_julien_Mission2
367 Maru Umbi GoPro
366 2023_05_01_Anakao_Prince_Anakao_drone_julien_Mission2
365 Demo Drone&Cap
364 Demo falaise
363 Massif des roses
362 corps_mort_ilot_bandrelé
361 corauxsp_ilot_bandrelé
360 Pchyseris_ilot_bandrelé
359 piscine_du_sud_LeptoriaPhrygia
358 Hélice_bateau
357 piscine_du_sud_Patch2
356 piscine-du-sud_ancre
355 piscine-du-sud_patch_corallien
354 Saint Paul Etang
353 Passe en S - corail col
352 salle_gonf_pole_opp
350 20230524_REU-ermitage_UAV-02_1
349 plancha ifaty
348 Ifaty - 07/05/2023
347 elements_pole_ope_PNMM
346 2023_05_06_Mangily_Hotel
345 2023_05_06_Mangily
344 2023_05_05_passe3
343 2023_05_05_GRT_passe2
342 2023_05_05
341 2023_05_07_massif_des_roses_gaetan_v2
340 2023_05_05_GRT_passe3
339 2023_05_05_passe_2
338 2023_05_05_Gauche_Manjaka_1
337 2023_05_07_massif_des_roses_gaetan
336 2023_05_05_Gauche_Manjaka_2
335 2023_05_05_Gauche_Manjaka
334 2023_05_03_sarodrano_IHSM_Belaza
333 2023_05_07_Mangily_cote2
332 2023_05_07_Mangily_cote1
331 2023_05_07_Mangily_Massif_Roses_drone_julien_vol2
330 2023_05_07_Mangily_Massif_Roses_drone_julien_vol1
329 Sarodrano_drone_matteo_sylvain
328 2023_05_04_Saint_Augustin_Pirogues
327 2023_05_04_GRT_micro_atoll_zone_B
326 Nosy_Velomitahy_2023_05_04
325 Nosy_Ve_2023_04_30_3
324 Nosy_Ve_2023_04_30_bis
323 Anakao_Prince_2020_04_29
322 Nosy_Ve_2
321 Nosy_Ve
320 demo_hab
318 pirogue_toliara
317 Poseidon_t4_TELEMAC
316 toliara_ihsm_droneSP_042023
315 arms_ihsm_jose
314 Mangrove IH.SM
313 DemoToliara
312 demo_geohab_artificialreef_ae_t1
311 demo_geohab_col_su_8
310 demo_geohab_col_su_14
309 demo_geohab_col_su_13
305 PyWebODM - uav_2022_10_24_aldabra-passe-dubois40m_Mavic2Pro_23
303 PyWebODM - 20221025_SYC-aldabra-arm01_UAV-02_32
302 PyWebODM - uav_2022_10_21_aldabra-arm01_Mavic2Pro_7
301 PyWebODM - uav_2022_09_20_aldabra-arm01_Mavic2Pro_1
300 PyWebODM - uav_2022_10_23_aldabra-arm06_Mavic2Pro_17
297 PyWebODM - uav_2022_10_24_aldabra-gigi_Mavic2Pro
296 PyWebODM - uav_2022_10_22_aldabra-passe-dubois_Mavic2Pro
295 PyWebODM - 20221022_SYC-aldabra-passe-dubois_UAV-02
275 dubois_test_cumul_modified_colors
274 dubois_test_cumul_no_modify_color
273 PyWebODM - dubois N4
271 photo_test_dubois_N4
192 2022_10_20_arm01_v1a_01
191 ARM01_Plancha_test
186 Test Ermitage Plancha
185 herbier total test
184 PorsmilinRTK_2022
181 Porsmilin_2015
180 Herbier 2023 suite
178 herbier
175 photogrametrie carnon
173 Mayotte_ib12
172 Mayotte_ib
170 Nosy_Komba
169 Sarodrano_2022_10_05
168 Anakao_2022_10_13
167 Ifaty_seagrass
166 test
162 PyWebODM - uav_2022_10_24_aldabra-passe-dubois40m_Mavic2Pro_24
161 PyWebODM - uav_2022_10_24_aldabra-passe-dubois40m_Mavic2Pro_23
158 PyWebODM - uav_2022_10_23_aldabra-arm06_Mavic2Pro_20
157 PyWebODM - uav_2022_10_23_aldabra-arm06_Mavic2Pro_19
140 PyWebODM - uav_2022_10_23_aldabra-arm06_Mavic2Pro_17
138 PyWebODM - uav_2022_10_22_aldabra-passe-dubois_Mavic2Pro_13
137 PyWebODM - uav_2022_10_22_aldabra-passe-dubois_Mavic2Pro_12
136 PyWebODM - 20221022_SYC-aldabra-passe-dubois_UAV-02_11
134 PyWebODM - uav_2022_10_22_aldabra-arm06_Mavic2Pro_15
133 PyWebODM - uav_2022_10_21_aldabra-arm01_Mavic2Pro_9
132 PyWebODM - uav_2022_10_21_aldabra-arm01_Mavic2Pro_8
131 PyWebODM - uav_2022_10_21_aldabra-arm01_Mavic2Pro_7
129 PyWebODM - uav_2022_09_20_aldabra-arm01_Mavic2Pro_6
127 PyWebODM - uav_2022_09_20_aldabra-arm01_Mavic2Pro_4
126 PyWebODM - uav_2022_09_20_aldabra-arm01_Mavic2Pro_3
125 PyWebODM - uav_2022_09_20_aldabra-arm01_Mavic2Pro_2
124 PyWebODM - uav_2022_09_20_aldabra-arm01_Mavic2Pro_1
123 PyWebODM - uav_2022_09_19_aldabra-arm01_Mavic2Pro_1
117 PyWebODM - session_2022_09_14_mayotte-fmr-ile-blanche_Mavic2Pro_2
116 20220914_MYT-aeroport_UAV-02_3
115 20220914_MYT-aeroport_UAV-02_1
114 PyWebODM - session_2022_09_13_mayotte-fmr-ngouja_Mavic2Pro_3
113 PyWebODM - session_2022_09_13_mayotte-fmr-ngouja_Mavic2Pro_2
112 PyWebODM - session_2022_09_13_mayotte-fmr-jollyroger_Mavic2Pro_1
111 PyWebODM - session_2022_09_12_mayotte-fmr-surprise_Mavic2Pro_3
110 PyWebODM - session_2022_09_12_mayotte-fmr-surprise_Mavic2Pro_2
109 PyWebODM - session_2022_09_12_mayotte-fmr-ile-blanche_Mavic2Pro_1
108 PyWebODM - session_2022_09_11_mayotte-fmr-musicalplage_Mavic2Pro_3
107 PyWebODM - session_2022_09_11_mayotte-fmr-jollyroger_Mavic2Pro_2
106 PyWebODM - session_2022_09_11_mayotte-fmr-jollyroger_Mavic2Pro_1
105 PyWebODM - session_2022_09_11_mayotte-fmr-aeroport_Mavic2Pro_2
104 PyWebODM - session_2022_09_11_mayotte-fmr-aeroport_Mavic2Pro_1
103 PyWebODM - session_2022_09_10_mayotte-fmr-musicalplage_Mavic2Pro_1v2
102 PyWebODM - session_2022_09_10_mayotte-fmr-musicalplage_Mavic2Pro_1
100 PyWebODM - session_2022_09_10_mayotte-fmr-jolly-roger_Mavic2Pro_3
99 PyWebODM - session_2022_09_10_mayotte-fmr-jollyroger_Mavic2Pro_2
53 Ifaty
51 semis_priorité_25052022
50 20220913_MYT-ngouja_UAV-02_2
49 Semis_priorité_Grenoble_29072022
48 Mayotte - Ngouja
46 Galibier19072022
43 test_P_cilyndrica
41 2019_10_14_Morne
40 grandfond
37 Mayotte FMR - Ile Blanche
36 Mayotte FMR - Aéroport
31 08/07/2022 sortie test
16 Colonie coralienne 12
15 Colonie coralienne 3
14 Colonie coralienne 2
10 Ilôt Sancho
8 Bleaching Morne
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0 227 20220911_MYT-jollyroger_UAV-02_1 ['3979c553-9af2-4466-bdad-60eeb81342dd']
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1 224 20220911_MYT-musicalplage_UAV-02_3 ['af5625da-fc15-4174-adc2-964ac4527d3f']
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2 223 20220911_MYT-jollyroger_UAV-02_2 ['95cfb22a-6914-4a36-84a4-aec9e135a049']
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3 222 20220912_MYT-ile-blanche_UAV-02_1 ['7888da65-f1ae-4217-9585-947c4a126558']
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4 221 20220913_MYT-ngouja_UAV-02_3 ['d40ac2c7-5eb5-4e58-87be-8cb0a99ebadd']
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5 219 20220913_MYT-jollyroger_UAV-02_1 ['507b62df-c6ae-4910-a281-60dc6b463560']
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6 217 20220910_MYT-jollyroger_UAV-02_2 ['46ad7a27-d4b6-4054-8c30-c35499741b2d']
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7 215 20220910_MYT-jolly-roger_UAV-02_3 ['62542c68-63af-4e22-9e15-40ab5f36b179']
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8 214 20220914_MYT-ile-blanche_UAV-02_2 ['2c5cb35f-df29-4465-b4fc-ba9e87a74a4f']
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9 213 20220912_MYT-surprise_UAV-02_3 ['579e6b96-e676-460e-afe2-150670d1abf1']
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10 212 20220911_MYT-aeroport_UAV-02_1 ['819f02d0-b14b-4ff4-b70b-fab40073b15c']
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11 209 20220912_MYT-surprise_UAV-02_2 ['6403a0cb-cd92-4fdf-9c6e-8c0e615d7ba0']
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12 208 20220910_MYT-musicalplage_UAV-02_1 ['f1f8c963-6adc-452d-bf97-babd80e6d854']
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13 207 20220911_MYT-aeroport_UAV-02_2 ['651d43fa-eb05-4c77-86d4-c1590383b35f']
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259 116 20220914_MYT-aeroport_UAV-02_3 ['df52db6f-1eec-46f5-9d23-c236a8c7433c']
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260 115 20220914_MYT-aeroport_UAV-02_1 ['ebf52c8c-0648-41b5-a9ac-1ba0ac4e7fb8']
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278 50 20220913_MYT-ngouja_UAV-02_2 ['fef77a89-e497-4282-a55a-6cba6e95aea9']
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[48]:
### Reformat dataframe
for entities in range(len(df)):
sess_path = os.path.join(
input, df.iloc[entities]["Identifier"].split("_\n")[0].split(":")[1]
)
df.iloc[entities, df.columns.get_loc("Title")] = df.iloc[entities][
"Title"
].replace(
"Images drone UAV,",
"Orthophoto & DEM (MNE) issues d'images drone, UAV,",
)
df.iloc[entities, df.columns.get_loc("Description")] = df.iloc[entities][
"Description"
].replace(
"Jeu de données composé d’images",
"Ce jeu de données présente les résultats des traitements photogrammétriques d’images",
)
df.iloc[entities, df.columns.get_loc("Description")] = df.iloc[entities][
"Description"
].replace(
"Les vols ont été réalisés dans le but",
"Les traitements ont été réalisés avec le logiciel OpenDroneMap à partir des images brutes fournies dans la première version de ce DOI.\n<br />Les vols ont été réalisés dans le but",
)
df.iloc[entities, df.columns.get_loc("Description")] = df.iloc[entities][
"Description"
].replace(
"<br /><b>Le dépôt est composé",
"<br /><br />Le paramétrage du logiciel OpenDroneMap est partagé pour permettre la reproductibilité ou l'amélioration des traitements proposés:<br />\n[\n<br /> {\n<br /> 'name': 'orthophoto-resolution',\n<br /> 'value': 1\n<br /> },\n<br /> {\n<br /> 'name': 'auto-boundary',\n<br /> 'value': true\n<br /> },\n<br /> {\n<br /> 'name': 'dem-resolution',\n<br /> 'value': '2.0'\n<br /> },\n<br /> {\n<br /> 'name': 'dsm',\n<br /> 'value': true\n<br /> }\n<br /> ]\n<br />\n<br /><b>Le dépôt est composé",
)
df.iloc[entities, df.columns.get_loc("Description")] = df.iloc[entities][
"Description"
].replace(
"<br /> - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.",
"<br /> - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br /> - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ...",
)
df.iloc[entities, df.columns.get_loc("Description")] = df.iloc[entities][
"Description"
].replace(
"<br /> └─ tb",
"<br /> └─ tb\n<br /> └─ PROCESSED_DATA",
)
df.iloc[entities, df.columns.get_loc("Description")] = df.iloc[entities][
"Description"
].replace(
"\n<br />Les dépôts suivants comprennent les données traitées avec OpenDroneMap",
"",
)
df.iloc[entities, df.columns.get_loc("Description")] = df.iloc[entities][
"Description"
].replace(
"\n<br />D'autres versions plus récentes de ce dépôt sont disponibles. Ces dernières comprennent notamment les données traitées avec OpenDroneMap",
"",
)
df.iloc[entities, df.columns.get_loc("Description")] = df.iloc[entities][
"Description"
].replace("RAW DATA", "PROCESSED DATA")
df.iloc[entities, df.columns.get_loc("Provenance")] = (
df.iloc[entities]["Provenance"] + "_\nprocess:Download from WebODM"
)
df.iloc[
entities, df.columns.get_loc("Format")
] = "resource:image/tiff_\ndistribution:image/tiff[GeoTIFF]"
df.iloc[entities, df.columns.get_loc("Data")] = (
"source:"
+ pdf_newname
+ "@"
+ os.path.join(sess_path, pdf_newname)
+ ","
+ file_newname
+ "@"
+ os.path.join(sess_path, file_newname)
+ "_\nsourceType:other"
)
[49]:
print(df.iloc[0]["Identifier"])
print(df.iloc[0]["Title"])
print(df.iloc[0]["Description"])
print(df.iloc[0]["Data"])
id:20220914_MYT-aeroport_UAV-02_3_
doi:10.5281/zenodo.8432872_
conceptdoi:10.5281/zenodo.8432871
title:Orthophoto & DEM (MNE) issues d'images drone, UAV, Aeroport, Mayotte - 20220914
abstract:"Ce jeu de données présente les résultats des traitements photogrammétriques d’images de drone DJI Mavic 2 Pro UAV acquises sur le site de Aeroport, Mayotte à la date suivante : 20220914.
<br />
<br />Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l’objectif de la mission vise à étudier l’implantation de récifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace aérien contrôlé, les vols ont été exécutés en regard de la réglmentation et en contact avec la tour de contrôle de l'aéroport de Mayotte.
<br />
<br />
<br /><br />Le paramétrage du logiciel OpenDroneMap est partagé pour permettre la reproductibilité ou l'amélioration des traitements proposés:<br />
[
<br /> {
<br /> 'name': 'orthophoto-resolution',
<br /> 'value': 1
<br /> },
<br /> {
<br /> 'name': 'auto-boundary',
<br /> 'value': true
<br /> },
<br /> {
<br /> 'name': 'dem-resolution',
<br /> 'value': '2.0'
<br /> },
<br /> {
<br /> 'name': 'dsm',
<br /> 'value': true
<br /> }
<br /> ]
<br />
<br /><b>Le dépôt est composé des éléments suivants:</b>
<br /> - 00_: Planche d'aperçu des images
<br /> - DCIM.zip: Images brutes issues du drone
<br /> - GPS.zip: Geopackage contenant l’emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d’attribut en base64
<br /> - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.
<br /> - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ...
<br />
<br /><b>Arborescence d'origine:</b>
<br />└─ 20220914_MYT-aeroport_UAV-02_3
<br /> └─ DCIM
<br /> └─ GPS
<br /> └─ METADATA
<br /> └─ tb
<br /> └─ PROCESSED_DATA
<br />
<br /><b>Informations de survol:</b>
<br />Différentes hauteurs de vols, angles des transects et angles de caméra ont été utilisés dans le but d'obtenir des données de qualité en fonction des conditions météorologiques et marines.
<br />- Camera model and parameters:
<br /> Make: Hasselblad
<br /> Model: L1D-20c
<br /> Width: 5472
<br /> Height: 3648
<br /> Focal: 28
<br /> WhiteBalance: Manual
<br /> ExposureMode: Auto Exposure
<br /> ColoSpace: sRGB
<br /> EV: -0.7
<br /> MeteringMode: CenterWeightedAverage
<br /> Camera Pitch: -75.00
<br />
<br />- Survey informations:
<br /> No Images: 327
<br /> Median height: 70 meters
<br /> Survey area: 7.71 hectares
<br /> Survey from: 2022:09:14 11:35:17 to: 2022:09:14 11:49:42
<br />"_
purpose:" "_
info:"This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI"_
edition:"PROCESSED DATA"
source:000_photogrammetry_report.pdf@/home/sylvain/DATA/MayotteFMR/20220914_MYT-aeroport_UAV-02_3/000_photogrammetry_report.pdf,PROCESSED_DATA.zip@/home/sylvain/DATA/MayotteFMR/20220914_MYT-aeroport_UAV-02_3/PROCESSED_DATA.zip_
sourceType:other
[50]:
### Export processed data df to csv
# fname = out_prefix + '_zenodo-rawdata'
# df.to_csv(os.path.join(output, fname + ".csv"), quoting=1, quotechar='"', index=False)
df.to_csv(os.path.join(output, out_prefix + "_processed_data.csv"), quoting=1, quotechar='"', index=False)
[51]:
# Reload df from WebODM download as updated dataframe
df = {}
df = pd.read_csv(os.path.join(input, out_prefix + '_processed_data.csv'))
df.head()
[51]:
| Identifier | Title | Description | Subject | Creator | Date | Type | Language | SpatialCoverage | TemporalCoverage | Relation | Rights | Provenance | Format | Data | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | id:20220914_MYT-aeroport_UAV-02_3_\ndoi:10.528... | title:Orthophoto & DEM (MNE) issues d'images d... | abstract:"Ce jeu de données présente les résul... | theme[General]:Future Maore Reef,drone,lagon,c... | author:sylvain.poulain@ird.fr,isabel.urbina-ba... | publication:2023-10-11_\nedition:2023-10-11 | dataset | fra | NaN | 2022-09-14 11-35-17 - 2022-09-14 11-49-42 | thumbnail:Future Maore Reef@https://www.future... | useLimitation:Utilisation libre sous réserve d... | statement:"- Camera model and parameters:\n Ma... | resource:image/tiff_\ndistribution:image/tiff[... | source:000_photogrammetry_report.pdf@/home/syl... |
| 1 | id:20220911_MYT-aeroport_UAV-02_2_\ndoi:10.528... | title:Orthophoto & DEM (MNE) issues d'images d... | abstract:"Ce jeu de données présente les résul... | theme[General]:Future Maore Reef,drone,lagon,c... | author:sylvain.poulain@ird.fr,isabel.urbina-ba... | publication:2023-10-11_\nedition:2023-10-11 | dataset | fra | NaN | 2022-09-11 15-18-37 - 2022-09-11 15-26-13 | thumbnail:Future Maore Reef@https://www.future... | useLimitation:Utilisation libre sous réserve d... | statement:"- Camera model and parameters:\n Ma... | resource:image/tiff_\ndistribution:image/tiff[... | source:000_photogrammetry_report.pdf@/home/syl... |
| 2 | id:20220910_MYT-musicalplage_UAV-02_1_\ndoi:10... | title:Orthophoto & DEM (MNE) issues d'images d... | abstract:"Ce jeu de données présente les résul... | theme[General]:Future Maore Reef,drone,lagon,c... | author:sylvain.poulain@ird.fr,isabel.urbina-ba... | publication:2023-10-11_\nedition:2023-10-11 | dataset | fra | NaN | 2022-09-10 11-00-06 - 2022-09-10 11-07-35 | thumbnail:Future Maore Reef@https://www.future... | useLimitation:Utilisation libre sous réserve d... | statement:"- Camera model and parameters:\n Ma... | resource:image/tiff_\ndistribution:image/tiff[... | source:000_photogrammetry_report.pdf@/home/syl... |
| 3 | id:20220912_MYT-surprise_UAV-02_2_\ndoi:10.528... | title:Orthophoto & DEM (MNE) issues d'images d... | abstract:"Ce jeu de données présente les résul... | theme[General]:Future Maore Reef,drone,lagon,c... | author:sylvain.poulain@ird.fr,isabel.urbina-ba... | publication:2023-10-11_\nedition:2023-10-11 | dataset | fra | NaN | 2022-09-12 12-31-19 - 2022-09-12 12-45-40 | thumbnail:Future Maore Reef@https://www.future... | useLimitation:Utilisation libre sous réserve d... | statement:"- Camera model and parameters:\n Ma... | resource:image/tiff_\ndistribution:image/tiff[... | source:000_photogrammetry_report.pdf@/home/syl... |
| 4 | id:20220911_MYT-jollyroger_UAV-02_1_\ndoi:10.5... | title:Orthophoto & DEM (MNE) issues d'images d... | abstract:"Ce jeu de données présente les résul... | theme[General]:Future Maore Reef,drone,lagon,c... | author:sylvain.poulain@ird.fr,isabel.urbina-ba... | publication:2023-10-11_\nedition:2023-10-11 | dataset | fra | NaN | 2022-09-11 08-37-19 - 2022-09-11 08-55-09 | thumbnail:Future Maore Reef@https://www.future... | useLimitation:Utilisation libre sous réserve d... | statement:"- Camera model and parameters:\n Ma... | resource:image/tiff_\ndistribution:image/tiff[... | source:000_photogrammetry_report.pdf@/home/syl... |
[52]:
data_zip = []
sources = df.iloc[0]['Data'].split('_\n')[0].split(':')[1].split(',')
for data_file in sources:
data_zip.append(data_file.split('@')[0])
print(data_zip)
['000_photogrammetry_report.pdf', 'PROCESSED_DATA.zip']
[53]:
### UNZIP PROCESSED_DATA
from zip_helper import *
for entities in range(len(df)):
sess_path = os.path.join(
input, df.iloc[entities]["Identifier"].split("_\n")[0].split(":")[1]
)
print("unzip PROCESSED_DATA.zip in: ", sess_path)
try:
unzip(sess_path, 'PROCESSED_DATA.zip', 'PROCESSED_DATA/PHOTOGRAMMETRY/')
except:
print("no_zip in: ", sess_path)
print("Remove PROCESSED_DATA.zip")
try:
os.remove(os.path.join(sess_path, 'PROCESSED_DATA.zip'))
except:
print("no_zip to remove in: ", sess_path)
print("Recreate zip")
zip_folder(os.path.join(sess_path, 'PROCESSED_DATA'), os.path.join(sess_path, 'PROCESSED_DATA'))
unzip PROCESSED_DATA.zip in: /home/sylvain/DATA/MayotteFMR/20220911_MYT-musicalplage_UAV-02_3
Remove PROCESSED_DATA.zip
Recreate zip
unzip PROCESSED_DATA.zip in: /home/sylvain/DATA/MayotteFMR/20220914_MYT-aeroport_UAV-02_3
Remove PROCESSED_DATA.zip
Recreate zip
unzip PROCESSED_DATA.zip in: /home/sylvain/DATA/MayotteFMR/20220911_MYT-aeroport_UAV-02_2
Remove PROCESSED_DATA.zip
Recreate zip
unzip PROCESSED_DATA.zip in: /home/sylvain/DATA/MayotteFMR/20220910_MYT-musicalplage_UAV-02_1
Remove PROCESSED_DATA.zip
Recreate zip
unzip PROCESSED_DATA.zip in: /home/sylvain/DATA/MayotteFMR/20220912_MYT-surprise_UAV-02_2
Remove PROCESSED_DATA.zip
Recreate zip
unzip PROCESSED_DATA.zip in: /home/sylvain/DATA/MayotteFMR/20220911_MYT-jollyroger_UAV-02_1
Remove PROCESSED_DATA.zip
Recreate zip
unzip PROCESSED_DATA.zip in: /home/sylvain/DATA/MayotteFMR/20220911_MYT-aeroport_UAV-02_1
Remove PROCESSED_DATA.zip
Recreate zip
unzip PROCESSED_DATA.zip in: /home/sylvain/DATA/MayotteFMR/20220912_MYT-surprise_UAV-02_3
Remove PROCESSED_DATA.zip
Recreate zip
unzip PROCESSED_DATA.zip in: /home/sylvain/DATA/MayotteFMR/20220914_MYT-ile-blanche_UAV-02_2
Remove PROCESSED_DATA.zip
Recreate zip
unzip PROCESSED_DATA.zip in: /home/sylvain/DATA/MayotteFMR/20220910_MYT-jolly-roger_UAV-02_3
Remove PROCESSED_DATA.zip
Recreate zip
unzip PROCESSED_DATA.zip in: /home/sylvain/DATA/MayotteFMR/20220913_MYT-ngouja_UAV-02_2
Remove PROCESSED_DATA.zip
Recreate zip
unzip PROCESSED_DATA.zip in: /home/sylvain/DATA/MayotteFMR/20220910_MYT-jollyroger_UAV-02_2
Remove PROCESSED_DATA.zip
Recreate zip
unzip PROCESSED_DATA.zip in: /home/sylvain/DATA/MayotteFMR/20220913_MYT-jollyroger_UAV-02_1
Remove PROCESSED_DATA.zip
Recreate zip
unzip PROCESSED_DATA.zip in: /home/sylvain/DATA/MayotteFMR/20220914_MYT-aeroport_UAV-02_1
Remove PROCESSED_DATA.zip
Recreate zip
unzip PROCESSED_DATA.zip in: /home/sylvain/DATA/MayotteFMR/20220913_MYT-ngouja_UAV-02_3
Remove PROCESSED_DATA.zip
Recreate zip
unzip PROCESSED_DATA.zip in: /home/sylvain/DATA/MayotteFMR/20220912_MYT-ile-blanche_UAV-02_1
Remove PROCESSED_DATA.zip
Recreate zip
unzip PROCESSED_DATA.zip in: /home/sylvain/DATA/MayotteFMR/20220911_MYT-jollyroger_UAV-02_2
Remove PROCESSED_DATA.zip
Recreate zip
Upload processed data with python
[110]:
%load_ext autoreload
%autoreload 2
from zenodo_helper import *
# print(ACCESS_TOKEN)
The autoreload extension is already loaded. To reload it, use:
%reload_ext autoreload
[68]:
### Upload processed_data to Zenodo
print("#### Upload zip files to Zenodo")
base_url = "https://zenodo.org/api/"
for zipul in range(len(df)):
print('\nDataset:', zipul+1, "/" ,len(df), "\n ",df.iloc[zipul]['Identifier'])
zenodo_baseurl = base_url
#### Extract source from Data in dataframe
data_zip = df.iloc[zipul]['Data'].split('source:')[1].split('_\n')[0]
if "," in data_zip:
data_ziptemp = data_zip.split(',')
data_zip = []
for dt in range(len(data_ziptemp)):
data_zip.append(data_ziptemp[dt].split('@')[0])
else:
data_zip = data_zip.split('@')[0]
# data_zip = source_file
print(data_zip)
if 'doi:' in df.iloc[zipul]['Identifier']:
doi_raw = df.iloc[zipul]['Identifier'].split('_\ndoi:')[1].split('_\n')[0].split('.')[-1]
print("DOI already present: ",doi_raw)
getrecid = zenlist_single(zenodo_baseurl, ACCESS_TOKEN, str(doi_raw))
print(getrecid.text)
if int(doi_raw) == int(getrecid.json()['conceptrecid'].split('.')[-1]) + 1 :
print("New deposit version")
newv = zen_newversion(zenodo_baseurl, ACCESS_TOKEN, str(doi_raw))
zenval = zenvar(newv)
print("New doi version:"+zenval[1])
print("Write DOI to dataframe")
df.iloc[zipul, df.columns.get_loc('Identifier')] = "id:" + df.iloc[zipul]['Identifier'].split('_\n')[0].split('id:')[1] + "_\ndoi:" + zenval[1]
print("Enrich upload with metadata")
df.iloc[zipul, df.columns.get_loc("Provenance")] = df.iloc[zipul]["Provenance"] + "_\nprocess:Processed data uploaded to " + base_url.split('api')[0] + "record/" + str(zenval[2])
else:
print('Version in draft status')
zenval = zenvar(getrecid)
print("Enrich upload with metadata")
zen_metadata = zenmdt(zenodo_baseurl, ACCESS_TOKEN, zenval[2], df, zipul)
else:
print("Initialize deposit")
r = check_token(zenodo_baseurl, ACCESS_TOKEN)
zenval = zenvar(r)
print("prereserved doi:"+zenval[1])
print("Write DOI to dataframe")
dfzen = df
if 'doi:' in dfzen.iloc[zipul]['Identifier']:
pass
else:
dfzen.iloc[zipul, dfzen.columns.get_loc('Identifier')] = "id:" + dfzen.iloc[zipul]['Identifier'] + "_\ndoi:" + zenval[1]
dfzen.iloc[zipul, dfzen.columns.get_loc("Provenance")] = dfzen.iloc[zipul]["Provenance"] + "_\nprocess:Processed dataset uploaded to " + base_url.split('api')[0] + "record/" + str(zenval[2])
print("Enrich upload with metadata")
zen_metadata = zenmdt(zenodo_baseurl, ACCESS_TOKEN, zenval[2], df, zipul)
if zen_metadata.status_code > 400:
print("error in metadata, please check there is no double keywords: \n" + zen_metadata.text)
break
print("upload data")
print(" Trying upload number: 1")
for file in data_zip:
ul_count = 1
### Control Filename
# while file not in zenlist_single_files(zenodo_baseurl, ACCESS_TOKEN, str(zenval[2])).text:
### Control md5 checksum:
ful = os.path.join(input, df.iloc[zipul]['Identifier'].split('_\n')[0].split(':')[1], file)
print(ful)
with open(ful, "rb") as file_to_check:
# Open,close, read file and calculate MD5 on its contents
# read contents of the file
## Python 3.10
fh = file_to_check.read()
# pipe contents of the file through
digest = hashlib.md5(fh)
## End Python 3.10
# digest = hashlib.file_digest(file_to_check, "md5") ### Python 3.11 only
print(" md5:", digest.hexdigest())
while digest.hexdigest() not in zenlist_single_files(zenodo_baseurl, ACCESS_TOKEN, str(zenval[2])).text:
#Reset connection every 15 tries
if ul_count == 15:
getrecid = zenlist_single(zenodo_baseurl, ACCESS_TOKEN, str(doi_raw))
zenval = zenvar(getrecid)
file_on_server = zenlist_single_files(zenodo_baseurl, ACCESS_TOKEN, str(zenval[2]))
### Clean wrong checksum
if file in file_on_server.text:
print(" clean wrong files")
for fs in range(len(file_on_server.json())):
if file == file_on_server.json()[fs]['filename']:
# print(" sleep 5: computing checksum on server")
# time.sleep(15)
print(" checksum on server", file_on_server.json()[fs]['checksum'])
furl = file_on_server.json()[fs]["links"]["self"]
file_to_remove = zen_del_file(furl, ACCESS_TOKEN)
file_list = [file]
zen_upload = zenul(zenval[0], ACCESS_TOKEN, os.path.join(input, df.iloc[zipul]['Identifier'].split('_\n')[0].split(':')[1]), file_list)
print(" ", zen_upload.text)
if zen_upload.status_code == 404:
print("Version doesn't exists ! Please check your record_id")
break
else:
ul_count += 1
print(" Retry number: " + str(ul_count))
if zen_upload.status_code == 403:
print(" Friday 13th 2023 nightmare => permission denied!")
time.sleep(5)
### Publish to Zenodo
print("Publish record")
published = zenpublish(zenodo_baseurl, ACCESS_TOKEN, zenval[2])
print(published.text)
#### Upload zip files to Zenodo
Dataset: 1 / 17
id:20220914_MYT-aeroport_UAV-02_3_
doi:10.5281/zenodo.10085094
['000_photogrammetry_report.pdf', 'PROCESSED_DATA.zip']
DOI already present: 10085094
{"created": "2023-11-08T18:44:17.099678+00:00", "modified": "2023-11-08T18:54:57.701238+00:00", "id": 10085094, "conceptrecid": "8432871", "metadata": {"title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Aeroport, Mayotte - 20220914", "publication_date": "2023-10-11", "description": "\"Ce jeu de donn\u00e9es pr\u00e9sente les r\u00e9sultats des traitements photogramm\u00e9triques d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Aeroport, Mayotte \u00e0 la date suivante : 20220914.\n<br>\n<br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise \u00e0 \u00e9tudier l'implantation de r\u00e9cifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace a\u00e9rien contr\u00f4l\u00e9, les vols ont \u00e9t\u00e9 ex\u00e9cut\u00e9s en regard de la r\u00e9glmentation et en contact avec la tour de contr\u00f4le de l'a\u00e9roport de Mayotte. \n<br>\n<br>\n<br><br>Le param\u00e9trage du logiciel OpenDroneMap est partag\u00e9 pour permettre la reproductibilit\u00e9 ou l'am\u00e9lioration des traitements propos\u00e9s:<br>\n[\n<br> {\n<br> 'name': 'orthophoto-resolution',\n<br> 'value': 1\n<br> },\n<br> {\n<br> 'name': 'auto-boundary',\n<br> 'value': true\n<br> },\n<br> {\n<br> 'name': 'dem-resolution',\n<br> 'value': '2.0'\n<br> },\n<br> {\n<br> 'name': 'dsm',\n<br> 'value': true\n<br> }\n<br> ]\n<br>\n<br><b>Le d\u00e9p\u00f4t est compos\u00e9 des \u00e9l\u00e9ments suivants:</b>\n<br> - 00_: Planche d'aper\u00e7u des images\n<br> - DCIM.zip: Images brutes issues du drone\n<br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la g\u00e9olocalisation des images accompagn\u00e9es de leurs miniatures dans la table d'attribut en base64\n<br> - METADATA.zip: M\u00e9tadonn\u00e9es au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br> - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ...\n<br>\n<br><b>Arborescence d'origine:</b>\n<br>\u2514\u2500 20220914_MYT-aeroport_UAV-02_3\n<br> \u2514\u2500 DCIM\n<br> \u2514\u2500 GPS\n<br> \u2514\u2500 METADATA\n<br> \u2514\u2500 tb\n<br> \u2514\u2500 PROCESSED_DATA\n<br>\n<br><b>Informations de survol:</b>\n<br>Diff\u00e9rentes hauteurs de vols, angles des transects et angles de cam\u00e9ra ont \u00e9t\u00e9 utilis\u00e9s dans le but d'obtenir des donn\u00e9es de qualit\u00e9 en fonction des conditions m\u00e9t\u00e9orologiques et marines.\n<br>- Camera model and parameters:\n<br> Make: Hasselblad\n<br> Model: L1D-20c\n<br> Width: 5472\n<br> Height: 3648\n<br> Focal: 28\n<br> WhiteBalance: Manual\n<br> ExposureMode: Auto Exposure\n<br> ColoSpace: sRGB\n<br> EV: -0.7\n<br> MeteringMode: CenterWeightedAverage\n<br> Camera Pitch: -75.00\n<br>\n<br>- Survey informations:\n<br> No Images: 327\n<br> Median height: 70 meters\n<br> Survey area: 7.71 hectares\n<br> Survey from: 2022:09:14 11:35:17 to: 2022:09:14 11:49:42\n<br>\"", "access_right": "open", "creators": [{"name": "sylvain.poulain@ird.fr", "affiliation": null}, {"name": "isabel.urbina-barreto@ird.fr", "affiliation": null}, {"name": "julien.barde@ird.fr", "affiliation": null}, {"name": "francois.guilhaumon@ird.fr", "affiliation": null}], "keywords": ["Future Maore Reef", "drone", "lagon", "corail", "reef"], "related_identifiers": [{"identifier": "urn:20220914_MYT-aeroport_UAV-02_3", "relation": "isIdenticalTo", "scheme": "urn"}], "version": "PROCESSED DATA", "language": "fra", "license": "cc-by-4.0", "imprint_publisher": "Zenodo", "notes": "<p></p><div class=\"ui message warning\">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br>", "upload_type": "dataset", "prereserve_doi": {"doi": "10.5281/zenodo.10085094", "recid": 10085094}}, "title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Aeroport, Mayotte - 20220914", "links": {"self": "https://zenodo.org/api/deposit/depositions/10085094", "html": "https://zenodo.org/deposit/10085094", "badge": "https://zenodo.org/badge/doi/.svg", "files": "https://zenodo.org/api/deposit/depositions/10085094/files", "bucket": "https://zenodo.org/api/files/d551919e-0c75-4843-ab95-55f84cf2916f", "thumb250": "https://zenodo.org/record/10085094/thumb250", "thumbs": {"10": "https://zenodo.org/record/10085094/thumb10", "50": "https://zenodo.org/record/10085094/thumb50", "100": "https://zenodo.org/record/10085094/thumb100", "250": "https://zenodo.org/record/10085094/thumb250", "750": "https://zenodo.org/record/10085094/thumb750", "1200": "https://zenodo.org/record/10085094/thumb1200"}, "latest_draft": "https://zenodo.org/api/deposit/depositions/10085094", "latest_draft_html": "https://zenodo.org/deposit/10085094", "publish": "https://zenodo.org/api/deposit/depositions/10085094/actions/publish", "edit": "https://zenodo.org/api/deposit/depositions/10085094/actions/edit", "discard": "https://zenodo.org/api/deposit/depositions/10085094/actions/discard", "newversion": "https://zenodo.org/api/deposit/depositions/10085094/actions/newversion", "registerconceptdoi": "https://zenodo.org/api/deposit/depositions/10085094/actions/registerconceptdoi"}, "record_id": 10085094, "owner": 601426, "files": [{"id": "343b6ba0-d00b-4f27-8393-181ebe2e6b25", "filename": "PROCESSED_DATA.zip", "filesize": 2224822256, "checksum": "ef0734138af06f512aadcb27881a9a48", "links": {"self": "https://zenodo.org/api/deposit/depositions/10085094/files/343b6ba0-d00b-4f27-8393-181ebe2e6b25", "download": "https://zenodo.org/api/records/10085094/draft/files/PROCESSED_DATA.zip/content"}}, {"id": "2bcb4146-ab11-4b7c-b498-03e5383e940e", "filename": "00_sample_rawdata_overview.png", "filesize": 709030, "checksum": "cec19a0cf98b98b0dcf69bb39a1f797a", "links": {"self": "https://zenodo.org/api/deposit/depositions/10085094/files/2bcb4146-ab11-4b7c-b498-03e5383e940e", "download": "https://zenodo.org/api/records/10085094/draft/files/00_sample_rawdata_overview.png/content"}}, {"id": "72be0ad1-4dcf-4671-81cd-ca9d6f8550af", "filename": "DCIM.zip", "filesize": 4092817624, "checksum": "cd5afaea72de38e8a8e65075c5c2269f", "links": {"self": "https://zenodo.org/api/deposit/depositions/10085094/files/72be0ad1-4dcf-4671-81cd-ca9d6f8550af", "download": "https://zenodo.org/api/records/10085094/draft/files/DCIM.zip/content"}}, {"id": "a926b2bb-7a15-4c6c-bec7-62e4b23ad24d", "filename": "GPS.zip", "filesize": 8539249, "checksum": "035058a54d22feaddb7805f4adf58452", "links": {"self": "https://zenodo.org/api/deposit/depositions/10085094/files/a926b2bb-7a15-4c6c-bec7-62e4b23ad24d", "download": "https://zenodo.org/api/records/10085094/draft/files/GPS.zip/content"}}, {"id": "a8aa770f-4a06-44a7-b79c-2a3f6571d5f6", "filename": "METADATA.zip", "filesize": 20090534, "checksum": "98eb51baafe4fe37ba7aac2f25abf748", "links": {"self": "https://zenodo.org/api/deposit/depositions/10085094/files/a8aa770f-4a06-44a7-b79c-2a3f6571d5f6", "download": "https://zenodo.org/api/records/10085094/draft/files/METADATA.zip/content"}}, {"id": "bb5144db-fe64-476a-9202-3eac8de96d36", "filename": "000_photogrammetry_report.pdf", "filesize": 7465726, "checksum": "93e06c9c44c89550f7b350e57a12893e", "links": {"self": "https://zenodo.org/api/deposit/depositions/10085094/files/bb5144db-fe64-476a-9202-3eac8de96d36", "download": "https://zenodo.org/api/records/10085094/draft/files/000_photogrammetry_report.pdf/content"}}], "state": "unsubmitted", "submitted": false}
Version in draft status
Enrich upload with metadata
{'metadata': {'title': "Orthophoto & DEM (MNE) issues d'images drone, UAV, Aeroport, Mayotte - 20220914", 'publication_date': '2023-10-11', 'description': '"Ce jeu de données présente les résultats des traitements photogrammétriques d’images de drone DJI Mavic 2 Pro UAV acquises sur le site de Aeroport, Mayotte à la date suivante : 20220914.\n<br />\n<br />Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l’objectif de la mission vise à étudier l’implantation de récifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace aérien contrôlé, les vols ont été exécutés en regard de la réglmentation et en contact avec la tour de contrôle de l\'aéroport de Mayotte. \n<br />\n<br />\n<br /><br />Le paramétrage du logiciel OpenDroneMap est partagé pour permettre la reproductibilité ou l\'amélioration des traitements proposés:<br />\n[\n<br /> {\n<br /> \'name\': \'orthophoto-resolution\',\n<br /> \'value\': 1\n<br /> },\n<br /> {\n<br /> \'name\': \'auto-boundary\',\n<br /> \'value\': true\n<br /> },\n<br /> {\n<br /> \'name\': \'dem-resolution\',\n<br /> \'value\': \'2.0\'\n<br /> },\n<br /> {\n<br /> \'name\': \'dsm\',\n<br /> \'value\': true\n<br /> }\n<br /> ]\n<br />\n<br /><b>Le dépôt est composé des éléments suivants:</b>\n<br /> - 00_: Planche d\'aperçu des images\n<br /> - DCIM.zip: Images brutes issues du drone\n<br /> - GPS.zip: Geopackage contenant l’emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d’attribut en base64\n<br /> - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br /> - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ...\n<br />\n<br /><b>Arborescence d\'origine:</b>\n<br />└─ 20220914_MYT-aeroport_UAV-02_3\n<br /> └─ DCIM\n<br /> └─ GPS\n<br /> └─ METADATA\n<br /> └─ tb\n<br /> └─ PROCESSED_DATA\n<br />\n<br /><b>Informations de survol:</b>\n<br />Différentes hauteurs de vols, angles des transects et angles de caméra ont été utilisés dans le but d\'obtenir des données de qualité en fonction des conditions météorologiques et marines.\n<br />- Camera model and parameters:\n<br /> Make: Hasselblad\n<br /> Model: L1D-20c\n<br /> Width: 5472\n<br /> Height: 3648\n<br /> Focal: 28\n<br /> WhiteBalance: Manual\n<br /> ExposureMode: Auto Exposure\n<br /> ColoSpace: sRGB\n<br /> EV: -0.7\n<br /> MeteringMode: CenterWeightedAverage\n<br /> Camera Pitch: -75.00\n<br />\n<br />- Survey informations:\n<br /> No Images: 327\n<br /> Median height: 70 meters\n<br /> Survey area: 7.71 hectares\n<br /> Survey from: 2022:09:14 11:35:17 to: 2022:09:14 11:49:42\n<br />"', 'access_right': 'open', 'notes': '<p></p><div class="ui message warning">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br /><img src="https://github.com/IRDG2OI/geoflow-g2oi/raw/main/img/logos_partenaires.png?raw=True">', 'creators': [{'name': 'sylvain.poulain@ird.fr'}, {'name': 'isabel.urbina-barreto@ird.fr'}, {'name': 'julien.barde@ird.fr'}, {'name': 'francois.guilhaumon@ird.fr'}], 'keywords': ['Future Maore Reef', 'drone', 'lagon', 'corail', 'reef'], 'related_identifiers': [{'identifier': 'urn:20220914_MYT-aeroport_UAV-02_3', 'relation': 'isIdenticalTo', 'scheme': 'urn'}], 'version': 'PROCESSED DATA', 'language': 'fra', 'license': 'cc-by-4.0', 'imprint_publisher': 'Zenodo', 'upload_type': 'dataset'}}
upload data
Trying upload number: 1
/home/sylvain/DATA/MayotteFMR/20220914_MYT-aeroport_UAV-02_3/000_photogrammetry_report.pdf
md5: 93e06c9c44c89550f7b350e57a12893e
/home/sylvain/DATA/MayotteFMR/20220914_MYT-aeroport_UAV-02_3/PROCESSED_DATA.zip
md5: ef0734138af06f512aadcb27881a9a48
Publish record
{"created": "2023-11-08T18:57:15.953773+00:00", "modified": "2023-11-08T18:57:16.284056+00:00", "id": 10085094, "conceptrecid": "8432871", "doi": "10.5281/zenodo.10085094", "conceptdoi": "10.5281/zenodo.8432871", "doi_url": "https://doi.org/10.5281/zenodo.10085094", "metadata": {"title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Aeroport, Mayotte - 20220914", "doi": "10.5281/zenodo.10085094", "publication_date": "2023-10-11", "description": "\"Ce jeu de donn\u00e9es pr\u00e9sente les r\u00e9sultats des traitements photogramm\u00e9triques d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Aeroport, Mayotte \u00e0 la date suivante : 20220914.\n<br>\n<br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise \u00e0 \u00e9tudier l'implantation de r\u00e9cifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace a\u00e9rien contr\u00f4l\u00e9, les vols ont \u00e9t\u00e9 ex\u00e9cut\u00e9s en regard de la r\u00e9glmentation et en contact avec la tour de contr\u00f4le de l'a\u00e9roport de Mayotte. \n<br>\n<br>\n<br><br>Le param\u00e9trage du logiciel OpenDroneMap est partag\u00e9 pour permettre la reproductibilit\u00e9 ou l'am\u00e9lioration des traitements propos\u00e9s:<br>\n[\n<br> {\n<br> 'name': 'orthophoto-resolution',\n<br> 'value': 1\n<br> },\n<br> {\n<br> 'name': 'auto-boundary',\n<br> 'value': true\n<br> },\n<br> {\n<br> 'name': 'dem-resolution',\n<br> 'value': '2.0'\n<br> },\n<br> {\n<br> 'name': 'dsm',\n<br> 'value': true\n<br> }\n<br> ]\n<br>\n<br><b>Le d\u00e9p\u00f4t est compos\u00e9 des \u00e9l\u00e9ments suivants:</b>\n<br> - 00_: Planche d'aper\u00e7u des images\n<br> - DCIM.zip: Images brutes issues du drone\n<br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la g\u00e9olocalisation des images accompagn\u00e9es de leurs miniatures dans la table d'attribut en base64\n<br> - 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Dataset: 2 / 17
id:20220911_MYT-aeroport_UAV-02_2_
doi:10.5281/zenodo.10085097
['000_photogrammetry_report.pdf', 'PROCESSED_DATA.zip']
DOI already present: 10085097
{"created": "2023-11-08T18:45:05.424579+00:00", "modified": "2023-11-08T18:55:04.317529+00:00", "id": 10085097, "conceptrecid": "8432884", "conceptdoi": "10.5281/zenodo.8432884", "metadata": {"title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Aeroport, Mayotte - 20220911", "publication_date": "2023-10-11", "description": "\"Ce jeu de donn\u00e9es pr\u00e9sente les r\u00e9sultats des traitements photogramm\u00e9triques d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Aeroport, Mayotte \u00e0 la date suivante : 20220911.\n<br>\n<br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise \u00e0 \u00e9tudier l'implantation de r\u00e9cifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace a\u00e9rien contr\u00f4l\u00e9, les vols ont \u00e9t\u00e9 ex\u00e9cut\u00e9s en regard de la r\u00e9glmentation et en contact avec la tour de contr\u00f4le de l'a\u00e9roport de Mayotte. \n<br>\n<br>\n<br><br>Le param\u00e9trage du logiciel OpenDroneMap est partag\u00e9 pour permettre la reproductibilit\u00e9 ou l'am\u00e9lioration des traitements propos\u00e9s:<br>\n[\n<br> {\n<br> 'name': 'orthophoto-resolution',\n<br> 'value': 1\n<br> },\n<br> {\n<br> 'name': 'auto-boundary',\n<br> 'value': true\n<br> },\n<br> {\n<br> 'name': 'dem-resolution',\n<br> 'value': '2.0'\n<br> },\n<br> {\n<br> 'name': 'dsm',\n<br> 'value': true\n<br> }\n<br> ]\n<br>\n<br><b>Le d\u00e9p\u00f4t est compos\u00e9 des \u00e9l\u00e9ments suivants:</b>\n<br> - 00_: Planche d'aper\u00e7u des images\n<br> - DCIM.zip: Images brutes issues du drone\n<br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la g\u00e9olocalisation des images accompagn\u00e9es de leurs miniatures dans la table d'attribut en base64\n<br> - METADATA.zip: M\u00e9tadonn\u00e9es au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br> - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ...\n<br>\n<br><b>Arborescence d'origine:</b>\n<br>\u2514\u2500 20220911_MYT-aeroport_UAV-02_2\n<br> \u2514\u2500 DCIM\n<br> \u2514\u2500 GPS\n<br> \u2514\u2500 METADATA\n<br> \u2514\u2500 tb\n<br> \u2514\u2500 PROCESSED_DATA\n<br>\n<br><b>Informations de survol:</b>\n<br>Diff\u00e9rentes hauteurs de vols, angles des transects et angles de cam\u00e9ra ont \u00e9t\u00e9 utilis\u00e9s dans le but d'obtenir des donn\u00e9es de qualit\u00e9 en fonction des conditions m\u00e9t\u00e9orologiques et marines.\n<br>- Camera model and parameters:\n<br> Make: Hasselblad\n<br> Model: L1D-20c\n<br> Width: 5472\n<br> Height: 3648\n<br> Focal: 28\n<br> WhiteBalance: Manual\n<br> ExposureMode: Auto Exposure\n<br> ColoSpace: sRGB\n<br> EV: -0.7\n<br> MeteringMode: CenterWeightedAverage\n<br> Camera Pitch: -90.00\n<br>\n<br>- Survey informations:\n<br> No Images: 187\n<br> Median height: 70 meters\n<br> Survey area: 4.03 hectares\n<br> Survey from: 2022:09:11 15:18:37 to: 2022:09:11 15:26:13\n<br>\"", "access_right": "open", "creators": [{"name": "sylvain.poulain@ird.fr", "affiliation": null}, {"name": "isabel.urbina-barreto@ird.fr", "affiliation": null}, {"name": "julien.barde@ird.fr", "affiliation": null}, {"name": "francois.guilhaumon@ird.fr", "affiliation": null}], "keywords": ["Future Maore Reef", "drone", "lagon", "corail", "reef"], "related_identifiers": [{"identifier": "urn:20220911_MYT-aeroport_UAV-02_2", "relation": "isIdenticalTo", "scheme": "urn"}], "version": "PROCESSED DATA", "language": "fra", "license": "cc-by-4.0", "imprint_publisher": "Zenodo", "notes": "<p></p><div class=\"ui message warning\">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br>", "upload_type": "dataset", "prereserve_doi": {"doi": "10.5281/zenodo.10085097", "recid": 10085097}}, "title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Aeroport, Mayotte - 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Version in draft status
Enrich upload with metadata
{'metadata': {'title': "Orthophoto & DEM (MNE) issues d'images drone, UAV, Aeroport, Mayotte - 20220911", 'publication_date': '2023-10-11', 'description': '"Ce jeu de données présente les résultats des traitements photogrammétriques d’images de drone DJI Mavic 2 Pro UAV acquises sur le site de Aeroport, Mayotte à la date suivante : 20220911.\n<br />\n<br />Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l’objectif de la mission vise à étudier l’implantation de récifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace aérien contrôlé, les vols ont été exécutés en regard de la réglmentation et en contact avec la tour de contrôle de l\'aéroport de Mayotte. \n<br />\n<br />\n<br /><br />Le paramétrage du logiciel OpenDroneMap est partagé pour permettre la reproductibilité ou l\'amélioration des traitements proposés:<br />\n[\n<br /> {\n<br /> \'name\': \'orthophoto-resolution\',\n<br /> \'value\': 1\n<br /> },\n<br /> {\n<br /> \'name\': \'auto-boundary\',\n<br /> \'value\': true\n<br /> },\n<br /> {\n<br /> \'name\': \'dem-resolution\',\n<br /> \'value\': \'2.0\'\n<br /> },\n<br /> {\n<br /> \'name\': \'dsm\',\n<br /> \'value\': true\n<br /> }\n<br /> ]\n<br />\n<br /><b>Le dépôt est composé des éléments suivants:</b>\n<br /> - 00_: Planche d\'aperçu des images\n<br /> - DCIM.zip: Images brutes issues du drone\n<br /> - GPS.zip: Geopackage contenant l’emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d’attribut en base64\n<br /> - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br /> - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ...\n<br />\n<br /><b>Arborescence d\'origine:</b>\n<br />└─ 20220911_MYT-aeroport_UAV-02_2\n<br /> └─ DCIM\n<br /> └─ GPS\n<br /> └─ METADATA\n<br /> └─ tb\n<br /> └─ PROCESSED_DATA\n<br />\n<br /><b>Informations de survol:</b>\n<br />Différentes hauteurs de vols, angles des transects et angles de caméra ont été utilisés dans le but d\'obtenir des données de qualité en fonction des conditions météorologiques et marines.\n<br />- Camera model and parameters:\n<br /> Make: Hasselblad\n<br /> Model: L1D-20c\n<br /> Width: 5472\n<br /> Height: 3648\n<br /> Focal: 28\n<br /> WhiteBalance: Manual\n<br /> ExposureMode: Auto Exposure\n<br /> ColoSpace: sRGB\n<br /> EV: -0.7\n<br /> MeteringMode: CenterWeightedAverage\n<br /> Camera Pitch: -90.00\n<br />\n<br />- Survey informations:\n<br /> No Images: 187\n<br /> Median height: 70 meters\n<br /> Survey area: 4.03 hectares\n<br /> Survey from: 2022:09:11 15:18:37 to: 2022:09:11 15:26:13\n<br />"', 'access_right': 'open', 'notes': '<p></p><div class="ui message warning">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br /><img src="https://github.com/IRDG2OI/geoflow-g2oi/raw/main/img/logos_partenaires.png?raw=True">', 'creators': [{'name': 'sylvain.poulain@ird.fr'}, {'name': 'isabel.urbina-barreto@ird.fr'}, {'name': 'julien.barde@ird.fr'}, {'name': 'francois.guilhaumon@ird.fr'}], 'keywords': ['Future Maore Reef', 'drone', 'lagon', 'corail', 'reef'], 'related_identifiers': [{'identifier': 'urn:20220911_MYT-aeroport_UAV-02_2', 'relation': 'isIdenticalTo', 'scheme': 'urn'}], 'version': 'PROCESSED DATA', 'language': 'fra', 'license': 'cc-by-4.0', 'imprint_publisher': 'Zenodo', 'upload_type': 'dataset'}}
upload data
Trying upload number: 1
/home/sylvain/DATA/MayotteFMR/20220911_MYT-aeroport_UAV-02_2/000_photogrammetry_report.pdf
md5: 3e52e5793ce28326428c98fb051213ed
/home/sylvain/DATA/MayotteFMR/20220911_MYT-aeroport_UAV-02_2/PROCESSED_DATA.zip
md5: c63932520494907c8f9cfd3e38fd4d08
Publish record
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Dataset: 3 / 17
id:20220910_MYT-musicalplage_UAV-02_1_
doi:10.5281/zenodo.10085102
['000_photogrammetry_report.pdf', 'PROCESSED_DATA.zip']
DOI already present: 10085102
{"created": "2023-11-08T18:45:31.175018+00:00", "modified": "2023-11-08T18:55:07.334658+00:00", "id": 10085102, "conceptrecid": "8432890", "conceptdoi": "10.5281/zenodo.8432890", "metadata": {"title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Musicalplage, Mayotte - 20220910", "publication_date": "2023-10-11", "description": "\"Ce jeu de donn\u00e9es pr\u00e9sente les r\u00e9sultats des traitements photogramm\u00e9triques d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Musicalplage, Mayotte \u00e0 la date suivante : 20220910.\n<br>\n<br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise \u00e0 \u00e9tudier l'implantation de r\u00e9cifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace a\u00e9rien contr\u00f4l\u00e9, les vols ont \u00e9t\u00e9 ex\u00e9cut\u00e9s en regard de la r\u00e9glmentation et en contact avec la tour de contr\u00f4le de l'a\u00e9roport de Mayotte. \n<br>\n<br>\n<br><br>Le param\u00e9trage du logiciel OpenDroneMap est partag\u00e9 pour permettre la reproductibilit\u00e9 ou l'am\u00e9lioration des traitements propos\u00e9s:<br>\n[\n<br> {\n<br> 'name': 'orthophoto-resolution',\n<br> 'value': 1\n<br> },\n<br> {\n<br> 'name': 'auto-boundary',\n<br> 'value': true\n<br> },\n<br> {\n<br> 'name': 'dem-resolution',\n<br> 'value': '2.0'\n<br> },\n<br> {\n<br> 'name': 'dsm',\n<br> 'value': true\n<br> }\n<br> ]\n<br>\n<br><b>Le d\u00e9p\u00f4t est compos\u00e9 des \u00e9l\u00e9ments suivants:</b>\n<br> - 00_: Planche d'aper\u00e7u des images\n<br> - DCIM.zip: Images brutes issues du drone\n<br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la g\u00e9olocalisation des images accompagn\u00e9es de leurs miniatures dans la table d'attribut en base64\n<br> - METADATA.zip: M\u00e9tadonn\u00e9es au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br> - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ...\n<br>\n<br><b>Arborescence d'origine:</b>\n<br>\u2514\u2500 20220910_MYT-musicalplage_UAV-02_1\n<br> \u2514\u2500 DCIM\n<br> \u2514\u2500 GPS\n<br> \u2514\u2500 METADATA\n<br> \u2514\u2500 tb\n<br> \u2514\u2500 PROCESSED_DATA\n<br>\n<br><b>Informations de survol:</b>\n<br>Diff\u00e9rentes hauteurs de vols, angles des transects et angles de cam\u00e9ra ont \u00e9t\u00e9 utilis\u00e9s dans le but d'obtenir des donn\u00e9es de qualit\u00e9 en fonction des conditions m\u00e9t\u00e9orologiques et marines.\n<br>- Camera model and parameters:\n<br> Make: Hasselblad\n<br> Model: L1D-20c\n<br> Width: 5472\n<br> Height: 3648\n<br> Focal: 28\n<br> WhiteBalance: Manual\n<br> ExposureMode: Auto Exposure\n<br> ColoSpace: sRGB\n<br> EV: -0.3\n<br> MeteringMode: Average\n<br> Camera Pitch: -70.30\n<br>\n<br>- Survey informations:\n<br> No Images: 114\n<br> Median height: 120 meters\n<br> Survey area: 13.92 hectares\n<br> Survey from: 2022:09:10 11:00:06 to: 2022:09:10 11:07:35\n<br>\"", "access_right": "open", "creators": [{"name": "sylvain.poulain@ird.fr", "affiliation": null}, {"name": "isabel.urbina-barreto@ird.fr", "affiliation": null}, {"name": "julien.barde@ird.fr", "affiliation": null}, {"name": "francois.guilhaumon@ird.fr", "affiliation": null}], "keywords": ["Future Maore Reef", "drone", "lagon", "corail", "reef"], "related_identifiers": [{"identifier": "urn:20220910_MYT-musicalplage_UAV-02_1", "relation": "isIdenticalTo", "scheme": "urn"}], "version": "PROCESSED DATA", "language": "fra", "license": "cc-by-4.0", "imprint_publisher": "Zenodo", "notes": "<p></p><div class=\"ui message warning\">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br>", "upload_type": "dataset", "prereserve_doi": {"doi": "10.5281/zenodo.10085102", "recid": 10085102}}, "title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Musicalplage, Mayotte - 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Version in draft status
Enrich upload with metadata
{'metadata': {'title': "Orthophoto & DEM (MNE) issues d'images drone, UAV, Musicalplage, Mayotte - 20220910", 'publication_date': '2023-10-11', 'description': '"Ce jeu de données présente les résultats des traitements photogrammétriques d’images de drone DJI Mavic 2 Pro UAV acquises sur le site de Musicalplage, Mayotte à la date suivante : 20220910.\n<br />\n<br />Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l’objectif de la mission vise à étudier l’implantation de récifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace aérien contrôlé, les vols ont été exécutés en regard de la réglmentation et en contact avec la tour de contrôle de l\'aéroport de Mayotte. \n<br />\n<br />\n<br /><br />Le paramétrage du logiciel OpenDroneMap est partagé pour permettre la reproductibilité ou l\'amélioration des traitements proposés:<br />\n[\n<br /> {\n<br /> \'name\': \'orthophoto-resolution\',\n<br /> \'value\': 1\n<br /> },\n<br /> {\n<br /> \'name\': \'auto-boundary\',\n<br /> \'value\': true\n<br /> },\n<br /> {\n<br /> \'name\': \'dem-resolution\',\n<br /> \'value\': \'2.0\'\n<br /> },\n<br /> {\n<br /> \'name\': \'dsm\',\n<br /> \'value\': true\n<br /> }\n<br /> ]\n<br />\n<br /><b>Le dépôt est composé des éléments suivants:</b>\n<br /> - 00_: Planche d\'aperçu des images\n<br /> - DCIM.zip: Images brutes issues du drone\n<br /> - GPS.zip: Geopackage contenant l’emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d’attribut en base64\n<br /> - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br /> - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ...\n<br />\n<br /><b>Arborescence d\'origine:</b>\n<br />└─ 20220910_MYT-musicalplage_UAV-02_1\n<br /> └─ DCIM\n<br /> └─ GPS\n<br /> └─ METADATA\n<br /> └─ tb\n<br /> └─ PROCESSED_DATA\n<br />\n<br /><b>Informations de survol:</b>\n<br />Différentes hauteurs de vols, angles des transects et angles de caméra ont été utilisés dans le but d\'obtenir des données de qualité en fonction des conditions météorologiques et marines.\n<br />- Camera model and parameters:\n<br /> Make: Hasselblad\n<br /> Model: L1D-20c\n<br /> Width: 5472\n<br /> Height: 3648\n<br /> Focal: 28\n<br /> WhiteBalance: Manual\n<br /> ExposureMode: Auto Exposure\n<br /> ColoSpace: sRGB\n<br /> EV: -0.3\n<br /> MeteringMode: Average\n<br /> Camera Pitch: -70.30\n<br />\n<br />- Survey informations:\n<br /> No Images: 114\n<br /> Median height: 120 meters\n<br /> Survey area: 13.92 hectares\n<br /> Survey from: 2022:09:10 11:00:06 to: 2022:09:10 11:07:35\n<br />"', 'access_right': 'open', 'notes': '<p></p><div class="ui message warning">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br /><img src="https://github.com/IRDG2OI/geoflow-g2oi/raw/main/img/logos_partenaires.png?raw=True">', 'creators': [{'name': 'sylvain.poulain@ird.fr'}, {'name': 'isabel.urbina-barreto@ird.fr'}, {'name': 'julien.barde@ird.fr'}, {'name': 'francois.guilhaumon@ird.fr'}], 'keywords': ['Future Maore Reef', 'drone', 'lagon', 'corail', 'reef'], 'related_identifiers': [{'identifier': 'urn:20220910_MYT-musicalplage_UAV-02_1', 'relation': 'isIdenticalTo', 'scheme': 'urn'}], 'version': 'PROCESSED DATA', 'language': 'fra', 'license': 'cc-by-4.0', 'imprint_publisher': 'Zenodo', 'upload_type': 'dataset'}}
upload data
Trying upload number: 1
/home/sylvain/DATA/MayotteFMR/20220910_MYT-musicalplage_UAV-02_1/000_photogrammetry_report.pdf
md5: 71d018512d32b12ede931fe541f56d9d
/home/sylvain/DATA/MayotteFMR/20220910_MYT-musicalplage_UAV-02_1/PROCESSED_DATA.zip
md5: 4d459da32db8fc36b9e2282cb65790b9
Publish record
{"created": "2023-11-08T18:57:27.342566+00:00", "modified": "2023-11-08T18:57:27.674745+00:00", "id": 10085102, "conceptrecid": "8432890", "doi": "10.5281/zenodo.10085102", "conceptdoi": "10.5281/zenodo.8432890", "doi_url": "https://doi.org/10.5281/zenodo.10085102", "metadata": {"title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Musicalplage, Mayotte - 20220910", "doi": "10.5281/zenodo.10085102", "publication_date": "2023-10-11", "description": "\"Ce jeu de donn\u00e9es pr\u00e9sente les r\u00e9sultats des traitements photogramm\u00e9triques d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Musicalplage, Mayotte \u00e0 la date suivante : 20220910.\n<br>\n<br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise \u00e0 \u00e9tudier l'implantation de r\u00e9cifs artificiels dans le lagon de Mayotte sur plusieurs sites. 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Dataset: 4 / 17
id:20220912_MYT-surprise_UAV-02_2_
doi:10.5281/zenodo.10085107
['000_photogrammetry_report.pdf', 'PROCESSED_DATA.zip']
DOI already present: 10085107
{"created": "2023-11-08T18:46:14.703540+00:00", "modified": "2023-11-08T18:55:13.116930+00:00", "id": 10085107, "conceptrecid": "8432894", "conceptdoi": "10.5281/zenodo.8432894", "metadata": {"title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Surprise, Mayotte - 20220912", "publication_date": "2023-10-11", "description": "\"Ce jeu de donn\u00e9es pr\u00e9sente les r\u00e9sultats des traitements photogramm\u00e9triques d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Surprise, Mayotte \u00e0 la date suivante : 20220912.\n<br>\n<br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise \u00e0 \u00e9tudier l'implantation de r\u00e9cifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace a\u00e9rien contr\u00f4l\u00e9, les vols ont \u00e9t\u00e9 ex\u00e9cut\u00e9s en regard de la r\u00e9glmentation et en contact avec la tour de contr\u00f4le de l'a\u00e9roport de Mayotte. \n<br>\n<br>\n<br><br>Le param\u00e9trage du logiciel OpenDroneMap est partag\u00e9 pour permettre la reproductibilit\u00e9 ou l'am\u00e9lioration des traitements propos\u00e9s:<br>\n[\n<br> {\n<br> 'name': 'orthophoto-resolution',\n<br> 'value': 1\n<br> },\n<br> {\n<br> 'name': 'auto-boundary',\n<br> 'value': true\n<br> },\n<br> {\n<br> 'name': 'dem-resolution',\n<br> 'value': '2.0'\n<br> },\n<br> {\n<br> 'name': 'dsm',\n<br> 'value': true\n<br> }\n<br> ]\n<br>\n<br><b>Le d\u00e9p\u00f4t est compos\u00e9 des \u00e9l\u00e9ments suivants:</b>\n<br> - 00_: Planche d'aper\u00e7u des images\n<br> - DCIM.zip: Images brutes issues du drone\n<br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la g\u00e9olocalisation des images accompagn\u00e9es de leurs miniatures dans la table d'attribut en base64\n<br> - METADATA.zip: M\u00e9tadonn\u00e9es au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br> - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ...\n<br>\n<br><b>Arborescence d'origine:</b>\n<br>\u2514\u2500 20220912_MYT-surprise_UAV-02_2\n<br> \u2514\u2500 DCIM\n<br> \u2514\u2500 GPS\n<br> \u2514\u2500 METADATA\n<br> \u2514\u2500 tb\n<br> \u2514\u2500 PROCESSED_DATA\n<br>\n<br><b>Informations de survol:</b>\n<br>Diff\u00e9rentes hauteurs de vols, angles des transects et angles de cam\u00e9ra ont \u00e9t\u00e9 utilis\u00e9s dans le but d'obtenir des donn\u00e9es de qualit\u00e9 en fonction des conditions m\u00e9t\u00e9orologiques et marines.\n<br>- Camera model and parameters:\n<br> Make: Hasselblad\n<br> Model: L1D-20c\n<br> Width: 5472\n<br> Height: 3648\n<br> Focal: 28\n<br> WhiteBalance: Manual\n<br> ExposureMode: Auto Exposure\n<br> ColoSpace: sRGB\n<br> EV: -0.7\n<br> MeteringMode: CenterWeightedAverage\n<br> Camera Pitch: -75.00\n<br>\n<br>- Survey informations:\n<br> No Images: 336\n<br> Median height: 70 meters\n<br> Survey area: 6.49 hectares\n<br> Survey from: 2022:09:12 12:31:19 to: 2022:09:12 12:45:40\n<br>\"", "access_right": "open", "creators": [{"name": "sylvain.poulain@ird.fr", "affiliation": null}, {"name": "isabel.urbina-barreto@ird.fr", "affiliation": null}, {"name": "julien.barde@ird.fr", "affiliation": null}, {"name": "francois.guilhaumon@ird.fr", "affiliation": null}], "keywords": ["Future Maore Reef", "drone", "lagon", "corail", "reef"], "related_identifiers": [{"identifier": "urn:20220912_MYT-surprise_UAV-02_2", "relation": "isIdenticalTo", "scheme": "urn"}], "version": "PROCESSED DATA", "language": "fra", "license": "cc-by-4.0", "imprint_publisher": "Zenodo", "notes": "<p></p><div class=\"ui message warning\">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br>", "upload_type": "dataset", "prereserve_doi": {"doi": "10.5281/zenodo.10085107", "recid": 10085107}}, "title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Surprise, Mayotte - 20220912", "links": {"self": "https://zenodo.org/api/deposit/depositions/10085107", "html": "https://zenodo.org/deposit/10085107", "badge": "https://zenodo.org/badge/doi/.svg", "files": "https://zenodo.org/api/deposit/depositions/10085107/files", "bucket": "https://zenodo.org/api/files/f8e95948-f7b4-4482-b864-0947ea459a36", "thumb250": "https://zenodo.org/record/10085107/thumb250", "thumbs": {"10": "https://zenodo.org/record/10085107/thumb10", "50": "https://zenodo.org/record/10085107/thumb50", "100": "https://zenodo.org/record/10085107/thumb100", "250": "https://zenodo.org/record/10085107/thumb250", "750": "https://zenodo.org/record/10085107/thumb750", "1200": "https://zenodo.org/record/10085107/thumb1200"}, "latest_draft": "https://zenodo.org/api/deposit/depositions/10085107", "latest_draft_html": "https://zenodo.org/deposit/10085107", "publish": "https://zenodo.org/api/deposit/depositions/10085107/actions/publish", "edit": "https://zenodo.org/api/deposit/depositions/10085107/actions/edit", "discard": "https://zenodo.org/api/deposit/depositions/10085107/actions/discard", "newversion": "https://zenodo.org/api/deposit/depositions/10085107/actions/newversion", "registerconceptdoi": "https://zenodo.org/api/deposit/depositions/10085107/actions/registerconceptdoi"}, "record_id": 10085107, "owner": 601426, "files": [{"id": "67bad4f1-39c8-46e8-aead-d891adc05c08", "filename": "PROCESSED_DATA.zip", "filesize": 1907047054, "checksum": "df2642a1d8e10035df8f7c7e55b769c4", "links": {"self": "https://zenodo.org/api/deposit/depositions/10085107/files/67bad4f1-39c8-46e8-aead-d891adc05c08", "download": "https://zenodo.org/api/records/10085107/draft/files/PROCESSED_DATA.zip/content"}}, {"id": "dad6e19f-bb47-423d-aa53-6049814b8bf0", "filename": "000_photogrammetry_report.pdf", "filesize": 8944661, "checksum": "ad12cd00e3f7b185cbcfd4570cb21f87", "links": {"self": "https://zenodo.org/api/deposit/depositions/10085107/files/dad6e19f-bb47-423d-aa53-6049814b8bf0", "download": "https://zenodo.org/api/records/10085107/draft/files/000_photogrammetry_report.pdf/content"}}, {"id": "8c37abdb-fb9c-49af-a3bd-acbbb6b43de1", "filename": "00_sample_rawdata_overview.png", "filesize": 555549, "checksum": "e7d2e092d25d8b795fcd11463532fc5e", "links": {"self": "https://zenodo.org/api/deposit/depositions/10085107/files/8c37abdb-fb9c-49af-a3bd-acbbb6b43de1", "download": "https://zenodo.org/api/records/10085107/draft/files/00_sample_rawdata_overview.png/content"}}, {"id": "0cb57559-0bff-4dd8-84e1-b33332c8d321", "filename": "DCIM.zip", "filesize": 2494058102, "checksum": "f8d235e6e71468d5503e067e56df969a", "links": {"self": "https://zenodo.org/api/deposit/depositions/10085107/files/0cb57559-0bff-4dd8-84e1-b33332c8d321", "download": "https://zenodo.org/api/records/10085107/draft/files/DCIM.zip/content"}}, {"id": "d3e14aee-8f8e-485f-8d21-2a29feb4a352", "filename": "GPS.zip", "filesize": 6443546, "checksum": "a6b75b15517068d77a83496224e3117a", "links": {"self": "https://zenodo.org/api/deposit/depositions/10085107/files/d3e14aee-8f8e-485f-8d21-2a29feb4a352", "download": "https://zenodo.org/api/records/10085107/draft/files/GPS.zip/content"}}, {"id": "ff0296ec-6867-40b2-8213-fbcdb37db6a7", "filename": "METADATA.zip", "filesize": 11310108, "checksum": "2f78dcf2bc338ad213041d25ba19844b", "links": {"self": "https://zenodo.org/api/deposit/depositions/10085107/files/ff0296ec-6867-40b2-8213-fbcdb37db6a7", "download": "https://zenodo.org/api/records/10085107/draft/files/METADATA.zip/content"}}], "state": "unsubmitted", "submitted": false}
Version in draft status
Enrich upload with metadata
{'metadata': {'title': "Orthophoto & DEM (MNE) issues d'images drone, UAV, Surprise, Mayotte - 20220912", 'publication_date': '2023-10-11', 'description': '"Ce jeu de données présente les résultats des traitements photogrammétriques d’images de drone DJI Mavic 2 Pro UAV acquises sur le site de Surprise, Mayotte à la date suivante : 20220912.\n<br />\n<br />Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l’objectif de la mission vise à étudier l’implantation de récifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace aérien contrôlé, les vols ont été exécutés en regard de la réglmentation et en contact avec la tour de contrôle de l\'aéroport de Mayotte. \n<br />\n<br />\n<br /><br />Le paramétrage du logiciel OpenDroneMap est partagé pour permettre la reproductibilité ou l\'amélioration des traitements proposés:<br />\n[\n<br /> {\n<br /> \'name\': \'orthophoto-resolution\',\n<br /> \'value\': 1\n<br /> },\n<br /> {\n<br /> \'name\': \'auto-boundary\',\n<br /> \'value\': true\n<br /> },\n<br /> {\n<br /> \'name\': \'dem-resolution\',\n<br /> \'value\': \'2.0\'\n<br /> },\n<br /> {\n<br /> \'name\': \'dsm\',\n<br /> \'value\': true\n<br /> }\n<br /> ]\n<br />\n<br /><b>Le dépôt est composé des éléments suivants:</b>\n<br /> - 00_: Planche d\'aperçu des images\n<br /> - DCIM.zip: Images brutes issues du drone\n<br /> - GPS.zip: Geopackage contenant l’emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d’attribut en base64\n<br /> - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br /> - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ...\n<br />\n<br /><b>Arborescence d\'origine:</b>\n<br />└─ 20220912_MYT-surprise_UAV-02_2\n<br /> └─ DCIM\n<br /> └─ GPS\n<br /> └─ METADATA\n<br /> └─ tb\n<br /> └─ PROCESSED_DATA\n<br />\n<br /><b>Informations de survol:</b>\n<br />Différentes hauteurs de vols, angles des transects et angles de caméra ont été utilisés dans le but d\'obtenir des données de qualité en fonction des conditions météorologiques et marines.\n<br />- Camera model and parameters:\n<br /> Make: Hasselblad\n<br /> Model: L1D-20c\n<br /> Width: 5472\n<br /> Height: 3648\n<br /> Focal: 28\n<br /> WhiteBalance: Manual\n<br /> ExposureMode: Auto Exposure\n<br /> ColoSpace: sRGB\n<br /> EV: -0.7\n<br /> MeteringMode: CenterWeightedAverage\n<br /> Camera Pitch: -75.00\n<br />\n<br />- Survey informations:\n<br /> No Images: 336\n<br /> Median height: 70 meters\n<br /> Survey area: 6.49 hectares\n<br /> Survey from: 2022:09:12 12:31:19 to: 2022:09:12 12:45:40\n<br />"', 'access_right': 'open', 'notes': '<p></p><div class="ui message warning">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br /><img src="https://github.com/IRDG2OI/geoflow-g2oi/raw/main/img/logos_partenaires.png?raw=True">', 'creators': [{'name': 'sylvain.poulain@ird.fr'}, {'name': 'isabel.urbina-barreto@ird.fr'}, {'name': 'julien.barde@ird.fr'}, {'name': 'francois.guilhaumon@ird.fr'}], 'keywords': ['Future Maore Reef', 'drone', 'lagon', 'corail', 'reef'], 'related_identifiers': [{'identifier': 'urn:20220912_MYT-surprise_UAV-02_2', 'relation': 'isIdenticalTo', 'scheme': 'urn'}], 'version': 'PROCESSED DATA', 'language': 'fra', 'license': 'cc-by-4.0', 'imprint_publisher': 'Zenodo', 'upload_type': 'dataset'}}
upload data
Trying upload number: 1
/home/sylvain/DATA/MayotteFMR/20220912_MYT-surprise_UAV-02_2/000_photogrammetry_report.pdf
md5: ad12cd00e3f7b185cbcfd4570cb21f87
/home/sylvain/DATA/MayotteFMR/20220912_MYT-surprise_UAV-02_2/PROCESSED_DATA.zip
md5: df2642a1d8e10035df8f7c7e55b769c4
Publish record
{"created": "2023-11-08T18:57:34.899784+00:00", "modified": "2023-11-08T18:57:35.803470+00:00", "id": 10085107, "conceptrecid": "8432894", "doi": "10.5281/zenodo.10085107", "conceptdoi": "10.5281/zenodo.8432894", "doi_url": "https://doi.org/10.5281/zenodo.10085107", "metadata": {"title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Surprise, Mayotte - 20220912", "doi": "10.5281/zenodo.10085107", "publication_date": "2023-10-11", "description": "\"Ce jeu de donn\u00e9es pr\u00e9sente les r\u00e9sultats des traitements photogramm\u00e9triques d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Surprise, Mayotte \u00e0 la date suivante : 20220912.\n<br>\n<br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise \u00e0 \u00e9tudier l'implantation de r\u00e9cifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace a\u00e9rien contr\u00f4l\u00e9, les vols ont \u00e9t\u00e9 ex\u00e9cut\u00e9s en regard de la r\u00e9glmentation et en contact avec la tour de contr\u00f4le de l'a\u00e9roport de Mayotte. \n<br>\n<br>\n<br><br>Le param\u00e9trage du logiciel OpenDroneMap est partag\u00e9 pour permettre la reproductibilit\u00e9 ou l'am\u00e9lioration des traitements propos\u00e9s:<br>\n[\n<br> {\n<br> 'name': 'orthophoto-resolution',\n<br> 'value': 1\n<br> },\n<br> {\n<br> 'name': 'auto-boundary',\n<br> 'value': true\n<br> },\n<br> {\n<br> 'name': 'dem-resolution',\n<br> 'value': '2.0'\n<br> },\n<br> {\n<br> 'name': 'dsm',\n<br> 'value': true\n<br> }\n<br> ]\n<br>\n<br><b>Le d\u00e9p\u00f4t est compos\u00e9 des \u00e9l\u00e9ments suivants:</b>\n<br> - 00_: Planche d'aper\u00e7u des images\n<br> - DCIM.zip: Images brutes issues du drone\n<br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la g\u00e9olocalisation des images accompagn\u00e9es de leurs miniatures dans la table d'attribut en base64\n<br> - 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Dataset: 5 / 17
id:20220911_MYT-jollyroger_UAV-02_1_
doi:10.5281/zenodo.10085110
['000_photogrammetry_report.pdf', 'PROCESSED_DATA.zip']
DOI already present: 10085110
{"created": "2023-11-08T18:46:56.413523+00:00", "modified": "2023-11-08T18:55:19.842969+00:00", "id": 10085110, "conceptrecid": "8436203", "conceptdoi": "10.5281/zenodo.8436203", "metadata": {"title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Jollyroger, Mayotte - 20220911", "publication_date": "2023-10-11", "description": "\"Ce jeu de donn\u00e9es pr\u00e9sente les r\u00e9sultats des traitements photogramm\u00e9triques d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Jollyroger, Mayotte \u00e0 la date suivante : 20220911.\n<br>\n<br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise \u00e0 \u00e9tudier l'implantation de r\u00e9cifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace a\u00e9rien contr\u00f4l\u00e9, les vols ont \u00e9t\u00e9 ex\u00e9cut\u00e9s en regard de la r\u00e9glmentation et en contact avec la tour de contr\u00f4le de l'a\u00e9roport de Mayotte. \n<br>\n<br>\n<br><br>Le param\u00e9trage du logiciel OpenDroneMap est partag\u00e9 pour permettre la reproductibilit\u00e9 ou l'am\u00e9lioration des traitements propos\u00e9s:<br>\n[\n<br> {\n<br> 'name': 'orthophoto-resolution',\n<br> 'value': 1\n<br> },\n<br> {\n<br> 'name': 'auto-boundary',\n<br> 'value': true\n<br> },\n<br> {\n<br> 'name': 'dem-resolution',\n<br> 'value': '2.0'\n<br> },\n<br> {\n<br> 'name': 'dsm',\n<br> 'value': true\n<br> }\n<br> ]\n<br>\n<br><b>Le d\u00e9p\u00f4t est compos\u00e9 des \u00e9l\u00e9ments suivants:</b>\n<br> - 00_: Planche d'aper\u00e7u des images\n<br> - DCIM.zip: Images brutes issues du drone\n<br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la g\u00e9olocalisation des images accompagn\u00e9es de leurs miniatures dans la table d'attribut en base64\n<br> - METADATA.zip: M\u00e9tadonn\u00e9es au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br> - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ...\n<br>\n<br><b>Arborescence d'origine:</b>\n<br>\u2514\u2500 20220911_MYT-jollyroger_UAV-02_1\n<br> \u2514\u2500 DCIM\n<br> \u2514\u2500 mer\n<br> \u2514\u2500 GPS\n<br> \u2514\u2500 METADATA\n<br> \u2514\u2500 tb\n<br> \u2514\u2500 PROCESSED_DATA\n<br>\n<br><b>Informations de survol:</b>\n<br>Diff\u00e9rentes hauteurs de vols, angles des transects et angles de cam\u00e9ra ont \u00e9t\u00e9 utilis\u00e9s dans le but d'obtenir des donn\u00e9es de qualit\u00e9 en fonction des conditions m\u00e9t\u00e9orologiques et marines.\n<br>- Camera model and parameters:\n<br> Make: Hasselblad\n<br> Model: L1D-20c\n<br> Width: 5472\n<br> Height: 3648\n<br> Focal: 28\n<br> WhiteBalance: Manual\n<br> ExposureMode: Auto Exposure\n<br> ColoSpace: sRGB\n<br> EV: -0.7\n<br> MeteringMode: CenterWeightedAverage\n<br> Camera Pitch: -89.90\n<br>\n<br>- Survey informations:\n<br> No Images: 349\n<br> Median height: 70 meters\n<br> Survey area: 9.22 hectares\n<br> Survey from: 2022:09:11 08:37:19 to: 2022:09:11 08:55:09\n<br>\"", "access_right": "open", "creators": [{"name": "sylvain.poulain@ird.fr", "affiliation": null}, {"name": "isabel.urbina-barreto@ird.fr", "affiliation": null}, {"name": "julien.barde@ird.fr", "affiliation": null}, {"name": "francois.guilhaumon@ird.fr", "affiliation": null}], "keywords": ["Future Maore Reef", "drone", "lagon", "corail", "reef"], "related_identifiers": [{"identifier": "urn:20220911_MYT-jollyroger_UAV-02_1", "relation": "isIdenticalTo", "scheme": "urn"}], "version": "PROCESSED DATA", "language": "fra", "license": "cc-by-4.0", "imprint_publisher": "Zenodo", "notes": "<p></p><div class=\"ui message warning\">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br>", "upload_type": "dataset", "prereserve_doi": {"doi": "10.5281/zenodo.10085110", "recid": 10085110}}, "title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Jollyroger, Mayotte - 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Version in draft status
Enrich upload with metadata
{'metadata': {'title': "Orthophoto & DEM (MNE) issues d'images drone, UAV, Jollyroger, Mayotte - 20220911", 'publication_date': '2023-10-11', 'description': '"Ce jeu de données présente les résultats des traitements photogrammétriques d’images de drone DJI Mavic 2 Pro UAV acquises sur le site de Jollyroger, Mayotte à la date suivante : 20220911.\n<br />\n<br />Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l’objectif de la mission vise à étudier l’implantation de récifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace aérien contrôlé, les vols ont été exécutés en regard de la réglmentation et en contact avec la tour de contrôle de l\'aéroport de Mayotte. \n<br />\n<br />\n<br /><br />Le paramétrage du logiciel OpenDroneMap est partagé pour permettre la reproductibilité ou l\'amélioration des traitements proposés:<br />\n[\n<br /> {\n<br /> \'name\': \'orthophoto-resolution\',\n<br /> \'value\': 1\n<br /> },\n<br /> {\n<br /> \'name\': \'auto-boundary\',\n<br /> \'value\': true\n<br /> },\n<br /> {\n<br /> \'name\': \'dem-resolution\',\n<br /> \'value\': \'2.0\'\n<br /> },\n<br /> {\n<br /> \'name\': \'dsm\',\n<br /> \'value\': true\n<br /> }\n<br /> ]\n<br />\n<br /><b>Le dépôt est composé des éléments suivants:</b>\n<br /> - 00_: Planche d\'aperçu des images\n<br /> - DCIM.zip: Images brutes issues du drone\n<br /> - GPS.zip: Geopackage contenant l’emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d’attribut en base64\n<br /> - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br /> - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ...\n<br />\n<br /><b>Arborescence d\'origine:</b>\n<br />└─ 20220911_MYT-jollyroger_UAV-02_1\n<br /> └─ DCIM\n<br /> └─ mer\n<br /> └─ GPS\n<br /> └─ METADATA\n<br /> └─ tb\n<br /> └─ PROCESSED_DATA\n<br />\n<br /><b>Informations de survol:</b>\n<br />Différentes hauteurs de vols, angles des transects et angles de caméra ont été utilisés dans le but d\'obtenir des données de qualité en fonction des conditions météorologiques et marines.\n<br />- Camera model and parameters:\n<br /> Make: Hasselblad\n<br /> Model: L1D-20c\n<br /> Width: 5472\n<br /> Height: 3648\n<br /> Focal: 28\n<br /> WhiteBalance: Manual\n<br /> ExposureMode: Auto Exposure\n<br /> ColoSpace: sRGB\n<br /> EV: -0.7\n<br /> MeteringMode: CenterWeightedAverage\n<br /> Camera Pitch: -89.90\n<br />\n<br />- Survey informations:\n<br /> No Images: 349\n<br /> Median height: 70 meters\n<br /> Survey area: 9.22 hectares\n<br /> Survey from: 2022:09:11 08:37:19 to: 2022:09:11 08:55:09\n<br />"', 'access_right': 'open', 'notes': '<p></p><div class="ui message warning">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br /><img src="https://github.com/IRDG2OI/geoflow-g2oi/raw/main/img/logos_partenaires.png?raw=True">', 'creators': [{'name': 'sylvain.poulain@ird.fr'}, {'name': 'isabel.urbina-barreto@ird.fr'}, {'name': 'julien.barde@ird.fr'}, {'name': 'francois.guilhaumon@ird.fr'}], 'keywords': ['Future Maore Reef', 'drone', 'lagon', 'corail', 'reef'], 'related_identifiers': [{'identifier': 'urn:20220911_MYT-jollyroger_UAV-02_1', 'relation': 'isIdenticalTo', 'scheme': 'urn'}], 'version': 'PROCESSED DATA', 'language': 'fra', 'license': 'cc-by-4.0', 'imprint_publisher': 'Zenodo', 'upload_type': 'dataset'}}
upload data
Trying upload number: 1
/home/sylvain/DATA/MayotteFMR/20220911_MYT-jollyroger_UAV-02_1/000_photogrammetry_report.pdf
md5: d53d22ead35732503cc614e265452bf2
/home/sylvain/DATA/MayotteFMR/20220911_MYT-jollyroger_UAV-02_1/PROCESSED_DATA.zip
md5: 12b82eb4f9b2d0fe91b72b5b81d2edfa
Publish record
{"created": "2023-11-08T18:57:41.510898+00:00", "modified": "2023-11-08T18:57:42.276420+00:00", "id": 10085110, "conceptrecid": "8436203", "doi": "10.5281/zenodo.10085110", "conceptdoi": "10.5281/zenodo.8436203", "doi_url": "https://doi.org/10.5281/zenodo.10085110", "metadata": {"title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Jollyroger, Mayotte - 20220911", "doi": "10.5281/zenodo.10085110", "publication_date": "2023-10-11", "description": "\"Ce jeu de donn\u00e9es pr\u00e9sente les r\u00e9sultats des traitements photogramm\u00e9triques d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Jollyroger, Mayotte \u00e0 la date suivante : 20220911.\n<br>\n<br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise \u00e0 \u00e9tudier l'implantation de r\u00e9cifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace a\u00e9rien contr\u00f4l\u00e9, les vols ont \u00e9t\u00e9 ex\u00e9cut\u00e9s en regard de la r\u00e9glmentation et en contact avec la tour de contr\u00f4le de l'a\u00e9roport de Mayotte. \n<br>\n<br>\n<br><br>Le param\u00e9trage du logiciel OpenDroneMap est partag\u00e9 pour permettre la reproductibilit\u00e9 ou l'am\u00e9lioration des traitements propos\u00e9s:<br>\n[\n<br> {\n<br> 'name': 'orthophoto-resolution',\n<br> 'value': 1\n<br> },\n<br> {\n<br> 'name': 'auto-boundary',\n<br> 'value': true\n<br> },\n<br> {\n<br> 'name': 'dem-resolution',\n<br> 'value': '2.0'\n<br> },\n<br> {\n<br> 'name': 'dsm',\n<br> 'value': true\n<br> }\n<br> ]\n<br>\n<br><b>Le d\u00e9p\u00f4t est compos\u00e9 des \u00e9l\u00e9ments suivants:</b>\n<br> - 00_: Planche d'aper\u00e7u des images\n<br> - DCIM.zip: Images brutes issues du drone\n<br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la g\u00e9olocalisation des images accompagn\u00e9es de leurs miniatures dans la table d'attribut en base64\n<br> - 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Dataset: 6 / 17
id:20220911_MYT-aeroport_UAV-02_1_
doi:10.5281/zenodo.10085111
['000_photogrammetry_report.pdf', 'PROCESSED_DATA.zip']
DOI already present: 10085111
{"created": "2023-11-08T18:47:13.552841+00:00", "modified": "2023-11-08T18:55:21.677938+00:00", "id": 10085111, "conceptrecid": "8436215", "conceptdoi": "10.5281/zenodo.8436215", "metadata": {"title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Aeroport, Mayotte - 20220911", "publication_date": "2023-10-11", "description": "\"Ce jeu de donn\u00e9es pr\u00e9sente les r\u00e9sultats des traitements photogramm\u00e9triques d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Aeroport, Mayotte \u00e0 la date suivante : 20220911.\n<br>\n<br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise \u00e0 \u00e9tudier l'implantation de r\u00e9cifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace a\u00e9rien contr\u00f4l\u00e9, les vols ont \u00e9t\u00e9 ex\u00e9cut\u00e9s en regard de la r\u00e9glmentation et en contact avec la tour de contr\u00f4le de l'a\u00e9roport de Mayotte. \n<br>\n<br>\n<br><br>Le param\u00e9trage du logiciel OpenDroneMap est partag\u00e9 pour permettre la reproductibilit\u00e9 ou l'am\u00e9lioration des traitements propos\u00e9s:<br>\n[\n<br> {\n<br> 'name': 'orthophoto-resolution',\n<br> 'value': 1\n<br> },\n<br> {\n<br> 'name': 'auto-boundary',\n<br> 'value': true\n<br> },\n<br> {\n<br> 'name': 'dem-resolution',\n<br> 'value': '2.0'\n<br> },\n<br> {\n<br> 'name': 'dsm',\n<br> 'value': true\n<br> }\n<br> ]\n<br>\n<br><b>Le d\u00e9p\u00f4t est compos\u00e9 des \u00e9l\u00e9ments suivants:</b>\n<br> - 00_: Planche d'aper\u00e7u des images\n<br> - DCIM.zip: Images brutes issues du drone\n<br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la g\u00e9olocalisation des images accompagn\u00e9es de leurs miniatures dans la table d'attribut en base64\n<br> - METADATA.zip: M\u00e9tadonn\u00e9es au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br> - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ...\n<br>\n<br><b>Arborescence d'origine:</b>\n<br>\u2514\u2500 20220911_MYT-aeroport_UAV-02_1\n<br> \u2514\u2500 DCIM\n<br> \u2514\u2500 GPS\n<br> \u2514\u2500 METADATA\n<br> \u2514\u2500 tb\n<br> \u2514\u2500 PROCESSED_DATA\n<br>\n<br><b>Informations de survol:</b>\n<br>Diff\u00e9rentes hauteurs de vols, angles des transects et angles de cam\u00e9ra ont \u00e9t\u00e9 utilis\u00e9s dans le but d'obtenir des donn\u00e9es de qualit\u00e9 en fonction des conditions m\u00e9t\u00e9orologiques et marines.\n<br>- Camera model and parameters:\n<br> Make: Hasselblad\n<br> Model: L1D-20c\n<br> Width: 5472\n<br> Height: 3648\n<br> Focal: 28\n<br> WhiteBalance: Manual\n<br> ExposureMode: Auto Exposure\n<br> ColoSpace: sRGB\n<br> EV: -0.7\n<br> MeteringMode: CenterWeightedAverage\n<br> Camera Pitch: -90.00\n<br>\n<br>- Survey informations:\n<br> No Images: 390\n<br> Median height: 75 meters\n<br> Survey area: 10.3 hectares\n<br> Survey from: 2022:09:11 14:18:26 to: 2022:09:11 14:33:31\n<br>\"", "access_right": "open", "creators": [{"name": "sylvain.poulain@ird.fr", "affiliation": null}, {"name": "isabel.urbina-barreto@ird.fr", "affiliation": null}, {"name": "julien.barde@ird.fr", "affiliation": null}, {"name": "francois.guilhaumon@ird.fr", "affiliation": null}], "keywords": ["Future Maore Reef", "drone", "lagon", "corail", "reef"], "related_identifiers": [{"identifier": "urn:20220911_MYT-aeroport_UAV-02_1", "relation": "isIdenticalTo", "scheme": "urn"}], "version": "PROCESSED DATA", "language": "fra", "license": "cc-by-4.0", "imprint_publisher": "Zenodo", "notes": "<p></p><div class=\"ui message warning\">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br>", "upload_type": "dataset", "prereserve_doi": {"doi": "10.5281/zenodo.10085111", "recid": 10085111}}, "title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Aeroport, Mayotte - 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Version in draft status
Enrich upload with metadata
{'metadata': {'title': "Orthophoto & DEM (MNE) issues d'images drone, UAV, Aeroport, Mayotte - 20220911", 'publication_date': '2023-10-11', 'description': '"Ce jeu de données présente les résultats des traitements photogrammétriques d’images de drone DJI Mavic 2 Pro UAV acquises sur le site de Aeroport, Mayotte à la date suivante : 20220911.\n<br />\n<br />Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l’objectif de la mission vise à étudier l’implantation de récifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace aérien contrôlé, les vols ont été exécutés en regard de la réglmentation et en contact avec la tour de contrôle de l\'aéroport de Mayotte. \n<br />\n<br />\n<br /><br />Le paramétrage du logiciel OpenDroneMap est partagé pour permettre la reproductibilité ou l\'amélioration des traitements proposés:<br />\n[\n<br /> {\n<br /> \'name\': \'orthophoto-resolution\',\n<br /> \'value\': 1\n<br /> },\n<br /> {\n<br /> \'name\': \'auto-boundary\',\n<br /> \'value\': true\n<br /> },\n<br /> {\n<br /> \'name\': \'dem-resolution\',\n<br /> \'value\': \'2.0\'\n<br /> },\n<br /> {\n<br /> \'name\': \'dsm\',\n<br /> \'value\': true\n<br /> }\n<br /> ]\n<br />\n<br /><b>Le dépôt est composé des éléments suivants:</b>\n<br /> - 00_: Planche d\'aperçu des images\n<br /> - DCIM.zip: Images brutes issues du drone\n<br /> - GPS.zip: Geopackage contenant l’emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d’attribut en base64\n<br /> - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br /> - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ...\n<br />\n<br /><b>Arborescence d\'origine:</b>\n<br />└─ 20220911_MYT-aeroport_UAV-02_1\n<br /> └─ DCIM\n<br /> └─ GPS\n<br /> └─ METADATA\n<br /> └─ tb\n<br /> └─ PROCESSED_DATA\n<br />\n<br /><b>Informations de survol:</b>\n<br />Différentes hauteurs de vols, angles des transects et angles de caméra ont été utilisés dans le but d\'obtenir des données de qualité en fonction des conditions météorologiques et marines.\n<br />- Camera model and parameters:\n<br /> Make: Hasselblad\n<br /> Model: L1D-20c\n<br /> Width: 5472\n<br /> Height: 3648\n<br /> Focal: 28\n<br /> WhiteBalance: Manual\n<br /> ExposureMode: Auto Exposure\n<br /> ColoSpace: sRGB\n<br /> EV: -0.7\n<br /> MeteringMode: CenterWeightedAverage\n<br /> Camera Pitch: -90.00\n<br />\n<br />- Survey informations:\n<br /> No Images: 390\n<br /> Median height: 75 meters\n<br /> Survey area: 10.3 hectares\n<br /> Survey from: 2022:09:11 14:18:26 to: 2022:09:11 14:33:31\n<br />"', 'access_right': 'open', 'notes': '<p></p><div class="ui message warning">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br /><img src="https://github.com/IRDG2OI/geoflow-g2oi/raw/main/img/logos_partenaires.png?raw=True">', 'creators': [{'name': 'sylvain.poulain@ird.fr'}, {'name': 'isabel.urbina-barreto@ird.fr'}, {'name': 'julien.barde@ird.fr'}, {'name': 'francois.guilhaumon@ird.fr'}], 'keywords': ['Future Maore Reef', 'drone', 'lagon', 'corail', 'reef'], 'related_identifiers': [{'identifier': 'urn:20220911_MYT-aeroport_UAV-02_1', 'relation': 'isIdenticalTo', 'scheme': 'urn'}], 'version': 'PROCESSED DATA', 'language': 'fra', 'license': 'cc-by-4.0', 'imprint_publisher': 'Zenodo', 'upload_type': 'dataset'}}
upload data
Trying upload number: 1
/home/sylvain/DATA/MayotteFMR/20220911_MYT-aeroport_UAV-02_1/000_photogrammetry_report.pdf
md5: ae13baa827b0cab7b90136595274d39f
/home/sylvain/DATA/MayotteFMR/20220911_MYT-aeroport_UAV-02_1/PROCESSED_DATA.zip
md5: 7126a51e2fde6c3e6300008208722e8e
Publish record
{"created": "2023-11-08T18:57:51.140160+00:00", "modified": "2023-11-08T18:57:51.770516+00:00", "id": 10085111, "conceptrecid": "8436215", "doi": "10.5281/zenodo.10085111", "conceptdoi": "10.5281/zenodo.8436215", "doi_url": "https://doi.org/10.5281/zenodo.10085111", "metadata": {"title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Aeroport, Mayotte - 20220911", "doi": "10.5281/zenodo.10085111", "publication_date": "2023-10-11", "description": "\"Ce jeu de donn\u00e9es pr\u00e9sente les r\u00e9sultats des traitements photogramm\u00e9triques d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Aeroport, Mayotte \u00e0 la date suivante : 20220911.\n<br>\n<br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise \u00e0 \u00e9tudier l'implantation de r\u00e9cifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace a\u00e9rien contr\u00f4l\u00e9, les vols ont \u00e9t\u00e9 ex\u00e9cut\u00e9s en regard de la r\u00e9glmentation et en contact avec la tour de contr\u00f4le de l'a\u00e9roport de Mayotte. \n<br>\n<br>\n<br><br>Le param\u00e9trage du logiciel OpenDroneMap est partag\u00e9 pour permettre la reproductibilit\u00e9 ou l'am\u00e9lioration des traitements propos\u00e9s:<br>\n[\n<br> {\n<br> 'name': 'orthophoto-resolution',\n<br> 'value': 1\n<br> },\n<br> {\n<br> 'name': 'auto-boundary',\n<br> 'value': true\n<br> },\n<br> {\n<br> 'name': 'dem-resolution',\n<br> 'value': '2.0'\n<br> },\n<br> {\n<br> 'name': 'dsm',\n<br> 'value': true\n<br> }\n<br> ]\n<br>\n<br><b>Le d\u00e9p\u00f4t est compos\u00e9 des \u00e9l\u00e9ments suivants:</b>\n<br> - 00_: Planche d'aper\u00e7u des images\n<br> - DCIM.zip: Images brutes issues du drone\n<br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la g\u00e9olocalisation des images accompagn\u00e9es de leurs miniatures dans la table d'attribut en base64\n<br> - 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Dataset: 7 / 17
id:20220912_MYT-surprise_UAV-02_3_
doi:10.5281/zenodo.10085112
['000_photogrammetry_report.pdf', 'PROCESSED_DATA.zip']
DOI already present: 10085112
{"created": "2023-11-08T18:48:09.511990+00:00", "modified": "2023-11-08T18:55:30.724691+00:00", "id": 10085112, "conceptrecid": "8436220", "conceptdoi": "10.5281/zenodo.8436220", "metadata": {"title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Surprise, Mayotte - 20220912", "publication_date": "2023-10-11", "description": "\"Ce jeu de donn\u00e9es pr\u00e9sente les r\u00e9sultats des traitements photogramm\u00e9triques d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Surprise, Mayotte \u00e0 la date suivante : 20220912.\n<br>\n<br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise \u00e0 \u00e9tudier l'implantation de r\u00e9cifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace a\u00e9rien contr\u00f4l\u00e9, les vols ont \u00e9t\u00e9 ex\u00e9cut\u00e9s en regard de la r\u00e9glmentation et en contact avec la tour de contr\u00f4le de l'a\u00e9roport de Mayotte. \n<br>\n<br>\n<br><br>Le param\u00e9trage du logiciel OpenDroneMap est partag\u00e9 pour permettre la reproductibilit\u00e9 ou l'am\u00e9lioration des traitements propos\u00e9s:<br>\n[\n<br> {\n<br> 'name': 'orthophoto-resolution',\n<br> 'value': 1\n<br> },\n<br> {\n<br> 'name': 'auto-boundary',\n<br> 'value': true\n<br> },\n<br> {\n<br> 'name': 'dem-resolution',\n<br> 'value': '2.0'\n<br> },\n<br> {\n<br> 'name': 'dsm',\n<br> 'value': true\n<br> }\n<br> ]\n<br>\n<br><b>Le d\u00e9p\u00f4t est compos\u00e9 des \u00e9l\u00e9ments suivants:</b>\n<br> - 00_: Planche d'aper\u00e7u des images\n<br> - DCIM.zip: Images brutes issues du drone\n<br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la g\u00e9olocalisation des images accompagn\u00e9es de leurs miniatures dans la table d'attribut en base64\n<br> - METADATA.zip: M\u00e9tadonn\u00e9es au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br> - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ...\n<br>\n<br><b>Arborescence d'origine:</b>\n<br>\u2514\u2500 20220912_MYT-surprise_UAV-02_3\n<br> \u2514\u2500 DCIM\n<br> \u2514\u2500 GPS\n<br> \u2514\u2500 METADATA\n<br> \u2514\u2500 tb\n<br> \u2514\u2500 PROCESSED_DATA\n<br>\n<br><b>Informations de survol:</b>\n<br>Diff\u00e9rentes hauteurs de vols, angles des transects et angles de cam\u00e9ra ont \u00e9t\u00e9 utilis\u00e9s dans le but d'obtenir des donn\u00e9es de qualit\u00e9 en fonction des conditions m\u00e9t\u00e9orologiques et marines.\n<br>- Camera model and parameters:\n<br> Make: Hasselblad\n<br> Model: L1D-20c\n<br> Width: 5472\n<br> Height: 3648\n<br> Focal: 28\n<br> WhiteBalance: Manual\n<br> ExposureMode: Auto Exposure\n<br> ColoSpace: sRGB\n<br> EV: -0.7\n<br> MeteringMode: CenterWeightedAverage\n<br> Camera Pitch: -75.00\n<br>\n<br>- Survey informations:\n<br> No Images: 385\n<br> Median height: 70 meters\n<br> Survey area: 8.11 hectares\n<br> Survey from: 2022:09:12 14:29:06 to: 2022:09:12 14:43:35\n<br>\"", "access_right": "open", "creators": [{"name": "sylvain.poulain@ird.fr", "affiliation": null}, {"name": "isabel.urbina-barreto@ird.fr", "affiliation": null}, {"name": "julien.barde@ird.fr", "affiliation": null}, {"name": "francois.guilhaumon@ird.fr", "affiliation": null}], "keywords": ["Future Maore Reef", "drone", "lagon", "corail", "reef"], "related_identifiers": [{"identifier": "urn:20220912_MYT-surprise_UAV-02_3", "relation": "isIdenticalTo", "scheme": "urn"}], "version": "PROCESSED DATA", "language": "fra", "license": "cc-by-4.0", "imprint_publisher": "Zenodo", "notes": "<p></p><div class=\"ui message warning\">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br>", "upload_type": "dataset", "prereserve_doi": {"doi": "10.5281/zenodo.10085112", "recid": 10085112}}, "title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Surprise, Mayotte - 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Version in draft status
Enrich upload with metadata
{'metadata': {'title': "Orthophoto & DEM (MNE) issues d'images drone, UAV, Surprise, Mayotte - 20220912", 'publication_date': '2023-10-11', 'description': '"Ce jeu de données présente les résultats des traitements photogrammétriques d’images de drone DJI Mavic 2 Pro UAV acquises sur le site de Surprise, Mayotte à la date suivante : 20220912.\n<br />\n<br />Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l’objectif de la mission vise à étudier l’implantation de récifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace aérien contrôlé, les vols ont été exécutés en regard de la réglmentation et en contact avec la tour de contrôle de l\'aéroport de Mayotte. \n<br />\n<br />\n<br /><br />Le paramétrage du logiciel OpenDroneMap est partagé pour permettre la reproductibilité ou l\'amélioration des traitements proposés:<br />\n[\n<br /> {\n<br /> \'name\': \'orthophoto-resolution\',\n<br /> \'value\': 1\n<br /> },\n<br /> {\n<br /> \'name\': \'auto-boundary\',\n<br /> \'value\': true\n<br /> },\n<br /> {\n<br /> \'name\': \'dem-resolution\',\n<br /> \'value\': \'2.0\'\n<br /> },\n<br /> {\n<br /> \'name\': \'dsm\',\n<br /> \'value\': true\n<br /> }\n<br /> ]\n<br />\n<br /><b>Le dépôt est composé des éléments suivants:</b>\n<br /> - 00_: Planche d\'aperçu des images\n<br /> - DCIM.zip: Images brutes issues du drone\n<br /> - GPS.zip: Geopackage contenant l’emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d’attribut en base64\n<br /> - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br /> - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ...\n<br />\n<br /><b>Arborescence d\'origine:</b>\n<br />└─ 20220912_MYT-surprise_UAV-02_3\n<br /> └─ DCIM\n<br /> └─ GPS\n<br /> └─ METADATA\n<br /> └─ tb\n<br /> └─ PROCESSED_DATA\n<br />\n<br /><b>Informations de survol:</b>\n<br />Différentes hauteurs de vols, angles des transects et angles de caméra ont été utilisés dans le but d\'obtenir des données de qualité en fonction des conditions météorologiques et marines.\n<br />- Camera model and parameters:\n<br /> Make: Hasselblad\n<br /> Model: L1D-20c\n<br /> Width: 5472\n<br /> Height: 3648\n<br /> Focal: 28\n<br /> WhiteBalance: Manual\n<br /> ExposureMode: Auto Exposure\n<br /> ColoSpace: sRGB\n<br /> EV: -0.7\n<br /> MeteringMode: CenterWeightedAverage\n<br /> Camera Pitch: -75.00\n<br />\n<br />- Survey informations:\n<br /> No Images: 385\n<br /> Median height: 70 meters\n<br /> Survey area: 8.11 hectares\n<br /> Survey from: 2022:09:12 14:29:06 to: 2022:09:12 14:43:35\n<br />"', 'access_right': 'open', 'notes': '<p></p><div class="ui message warning">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br /><img src="https://github.com/IRDG2OI/geoflow-g2oi/raw/main/img/logos_partenaires.png?raw=True">', 'creators': [{'name': 'sylvain.poulain@ird.fr'}, {'name': 'isabel.urbina-barreto@ird.fr'}, {'name': 'julien.barde@ird.fr'}, {'name': 'francois.guilhaumon@ird.fr'}], 'keywords': ['Future Maore Reef', 'drone', 'lagon', 'corail', 'reef'], 'related_identifiers': [{'identifier': 'urn:20220912_MYT-surprise_UAV-02_3', 'relation': 'isIdenticalTo', 'scheme': 'urn'}], 'version': 'PROCESSED DATA', 'language': 'fra', 'license': 'cc-by-4.0', 'imprint_publisher': 'Zenodo', 'upload_type': 'dataset'}}
upload data
Trying upload number: 1
/home/sylvain/DATA/MayotteFMR/20220912_MYT-surprise_UAV-02_3/000_photogrammetry_report.pdf
md5: 1d2cfdb6856f7cacbddf5e6bb3852285
/home/sylvain/DATA/MayotteFMR/20220912_MYT-surprise_UAV-02_3/PROCESSED_DATA.zip
md5: 7c04fd31c4f4095034ca2313842cb56f
Publish record
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Dataset: 8 / 17
id:20220914_MYT-ile-blanche_UAV-02_2_
doi:10.5281/zenodo.10085117
['000_photogrammetry_report.pdf', 'PROCESSED_DATA.zip']
DOI already present: 10085117
{"created": "2023-11-08T18:48:53.989702+00:00", "modified": "2023-11-08T18:55:37.080239+00:00", "id": 10085117, "conceptrecid": "8436230", "conceptdoi": "10.5281/zenodo.8436230", "metadata": {"title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Ile blanche, Mayotte - 20220914", "publication_date": "2023-10-11", "description": "\"Ce jeu de donn\u00e9es pr\u00e9sente les r\u00e9sultats des traitements photogramm\u00e9triques d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Ile blanche, Mayotte \u00e0 la date suivante : 20220914.\n<br>\n<br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise \u00e0 \u00e9tudier l'implantation de r\u00e9cifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace a\u00e9rien contr\u00f4l\u00e9, les vols ont \u00e9t\u00e9 ex\u00e9cut\u00e9s en regard de la r\u00e9glmentation et en contact avec la tour de contr\u00f4le de l'a\u00e9roport de Mayotte. \n<br>\n<br>\n<br><br>Le param\u00e9trage du logiciel OpenDroneMap est partag\u00e9 pour permettre la reproductibilit\u00e9 ou l'am\u00e9lioration des traitements propos\u00e9s:<br>\n[\n<br> {\n<br> 'name': 'orthophoto-resolution',\n<br> 'value': 1\n<br> },\n<br> {\n<br> 'name': 'auto-boundary',\n<br> 'value': true\n<br> },\n<br> {\n<br> 'name': 'dem-resolution',\n<br> 'value': '2.0'\n<br> },\n<br> {\n<br> 'name': 'dsm',\n<br> 'value': true\n<br> }\n<br> ]\n<br>\n<br><b>Le d\u00e9p\u00f4t est compos\u00e9 des \u00e9l\u00e9ments suivants:</b>\n<br> - 00_: Planche d'aper\u00e7u des images\n<br> - DCIM.zip: Images brutes issues du drone\n<br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la g\u00e9olocalisation des images accompagn\u00e9es de leurs miniatures dans la table d'attribut en base64\n<br> - METADATA.zip: M\u00e9tadonn\u00e9es au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br> - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ...\n<br>\n<br><b>Arborescence d'origine:</b>\n<br>\u2514\u2500 20220914_MYT-ile-blanche_UAV-02_2\n<br> \u2514\u2500 DCIM\n<br> \u2514\u2500 GPS\n<br> \u2514\u2500 METADATA\n<br> \u2514\u2500 tb\n<br> \u2514\u2500 PROCESSED_DATA\n<br>\n<br><b>Informations de survol:</b>\n<br>Diff\u00e9rentes hauteurs de vols, angles des transects et angles de cam\u00e9ra ont \u00e9t\u00e9 utilis\u00e9s dans le but d'obtenir des donn\u00e9es de qualit\u00e9 en fonction des conditions m\u00e9t\u00e9orologiques et marines.\n<br>- Camera model and parameters:\n<br> Make: Hasselblad\n<br> Model: L1D-20c\n<br> Width: 5472\n<br> Height: 3648\n<br> Focal: 28\n<br> WhiteBalance: Manual\n<br> ExposureMode: Auto Exposure\n<br> ColoSpace: sRGB\n<br> EV: -0.7\n<br> MeteringMode: CenterWeightedAverage\n<br> Camera Pitch: -75.00\n<br>\n<br>- Survey informations:\n<br> No Images: 346\n<br> Median height: 60 meters\n<br> Survey area: 5.6 hectares\n<br> Survey from: 2022:09:14 10:19:27 to: 2022:09:14 10:33:56\n<br>\"", "access_right": "open", "creators": [{"name": "sylvain.poulain@ird.fr", "affiliation": null}, {"name": "isabel.urbina-barreto@ird.fr", "affiliation": null}, {"name": "julien.barde@ird.fr", "affiliation": null}, {"name": "francois.guilhaumon@ird.fr", "affiliation": null}], "keywords": ["Future Maore Reef", "drone", "lagon", "corail", "reef"], "related_identifiers": [{"identifier": "urn:20220914_MYT-ile-blanche_UAV-02_2", "relation": "isIdenticalTo", "scheme": "urn"}], "version": "PROCESSED DATA", "language": "fra", "license": "cc-by-4.0", "imprint_publisher": "Zenodo", "notes": "<p></p><div class=\"ui message warning\">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br>", "upload_type": "dataset", "prereserve_doi": {"doi": "10.5281/zenodo.10085117", "recid": 10085117}}, "title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Ile blanche, Mayotte - 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Version in draft status
Enrich upload with metadata
{'metadata': {'title': "Orthophoto & DEM (MNE) issues d'images drone, UAV, Ile blanche, Mayotte - 20220914", 'publication_date': '2023-10-11', 'description': '"Ce jeu de données présente les résultats des traitements photogrammétriques d’images de drone DJI Mavic 2 Pro UAV acquises sur le site de Ile blanche, Mayotte à la date suivante : 20220914.\n<br />\n<br />Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l’objectif de la mission vise à étudier l’implantation de récifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace aérien contrôlé, les vols ont été exécutés en regard de la réglmentation et en contact avec la tour de contrôle de l\'aéroport de Mayotte. \n<br />\n<br />\n<br /><br />Le paramétrage du logiciel OpenDroneMap est partagé pour permettre la reproductibilité ou l\'amélioration des traitements proposés:<br />\n[\n<br /> {\n<br /> \'name\': \'orthophoto-resolution\',\n<br /> \'value\': 1\n<br /> },\n<br /> {\n<br /> \'name\': \'auto-boundary\',\n<br /> \'value\': true\n<br /> },\n<br /> {\n<br /> \'name\': \'dem-resolution\',\n<br /> \'value\': \'2.0\'\n<br /> },\n<br /> {\n<br /> \'name\': \'dsm\',\n<br /> \'value\': true\n<br /> }\n<br /> ]\n<br />\n<br /><b>Le dépôt est composé des éléments suivants:</b>\n<br /> - 00_: Planche d\'aperçu des images\n<br /> - DCIM.zip: Images brutes issues du drone\n<br /> - GPS.zip: Geopackage contenant l’emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d’attribut en base64\n<br /> - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br /> - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ...\n<br />\n<br /><b>Arborescence d\'origine:</b>\n<br />└─ 20220914_MYT-ile-blanche_UAV-02_2\n<br /> └─ DCIM\n<br /> └─ GPS\n<br /> └─ METADATA\n<br /> └─ tb\n<br /> └─ PROCESSED_DATA\n<br />\n<br /><b>Informations de survol:</b>\n<br />Différentes hauteurs de vols, angles des transects et angles de caméra ont été utilisés dans le but d\'obtenir des données de qualité en fonction des conditions météorologiques et marines.\n<br />- Camera model and parameters:\n<br /> Make: Hasselblad\n<br /> Model: L1D-20c\n<br /> Width: 5472\n<br /> Height: 3648\n<br /> Focal: 28\n<br /> WhiteBalance: Manual\n<br /> ExposureMode: Auto Exposure\n<br /> ColoSpace: sRGB\n<br /> EV: -0.7\n<br /> MeteringMode: CenterWeightedAverage\n<br /> Camera Pitch: -75.00\n<br />\n<br />- Survey informations:\n<br /> No Images: 346\n<br /> Median height: 60 meters\n<br /> Survey area: 5.6 hectares\n<br /> Survey from: 2022:09:14 10:19:27 to: 2022:09:14 10:33:56\n<br />"', 'access_right': 'open', 'notes': '<p></p><div class="ui message warning">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br /><img src="https://github.com/IRDG2OI/geoflow-g2oi/raw/main/img/logos_partenaires.png?raw=True">', 'creators': [{'name': 'sylvain.poulain@ird.fr'}, {'name': 'isabel.urbina-barreto@ird.fr'}, {'name': 'julien.barde@ird.fr'}, {'name': 'francois.guilhaumon@ird.fr'}], 'keywords': ['Future Maore Reef', 'drone', 'lagon', 'corail', 'reef'], 'related_identifiers': [{'identifier': 'urn:20220914_MYT-ile-blanche_UAV-02_2', 'relation': 'isIdenticalTo', 'scheme': 'urn'}], 'version': 'PROCESSED DATA', 'language': 'fra', 'license': 'cc-by-4.0', 'imprint_publisher': 'Zenodo', 'upload_type': 'dataset'}}
upload data
Trying upload number: 1
/home/sylvain/DATA/MayotteFMR/20220914_MYT-ile-blanche_UAV-02_2/000_photogrammetry_report.pdf
md5: 266ceb7d2a6f312a642a678ae24b93e9
/home/sylvain/DATA/MayotteFMR/20220914_MYT-ile-blanche_UAV-02_2/PROCESSED_DATA.zip
md5: a2a3c2744f1c562116c99757b0d7b2d7
Publish record
{"created": "2023-11-08T18:58:01.458184+00:00", "modified": "2023-11-08T18:58:01.906143+00:00", "id": 10085117, "conceptrecid": "8436230", "doi": "10.5281/zenodo.10085117", "conceptdoi": "10.5281/zenodo.8436230", "doi_url": "https://doi.org/10.5281/zenodo.10085117", "metadata": {"title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Ile blanche, Mayotte - 20220914", "doi": "10.5281/zenodo.10085117", "publication_date": "2023-10-11", "description": "\"Ce jeu de donn\u00e9es pr\u00e9sente les r\u00e9sultats des traitements photogramm\u00e9triques d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Ile blanche, Mayotte \u00e0 la date suivante : 20220914.\n<br>\n<br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise \u00e0 \u00e9tudier l'implantation de r\u00e9cifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace a\u00e9rien contr\u00f4l\u00e9, les vols ont \u00e9t\u00e9 ex\u00e9cut\u00e9s en regard de la r\u00e9glmentation et en contact avec la tour de contr\u00f4le de l'a\u00e9roport de Mayotte. \n<br>\n<br>\n<br><br>Le param\u00e9trage du logiciel OpenDroneMap est partag\u00e9 pour permettre la reproductibilit\u00e9 ou l'am\u00e9lioration des traitements propos\u00e9s:<br>\n[\n<br> {\n<br> 'name': 'orthophoto-resolution',\n<br> 'value': 1\n<br> },\n<br> {\n<br> 'name': 'auto-boundary',\n<br> 'value': true\n<br> },\n<br> {\n<br> 'name': 'dem-resolution',\n<br> 'value': '2.0'\n<br> },\n<br> {\n<br> 'name': 'dsm',\n<br> 'value': true\n<br> }\n<br> ]\n<br>\n<br><b>Le d\u00e9p\u00f4t est compos\u00e9 des \u00e9l\u00e9ments suivants:</b>\n<br> - 00_: Planche d'aper\u00e7u des images\n<br> - DCIM.zip: Images brutes issues du drone\n<br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la g\u00e9olocalisation des images accompagn\u00e9es de leurs miniatures dans la table d'attribut en base64\n<br> - 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Dataset: 9 / 17
id:20220910_MYT-jolly-roger_UAV-02_3_
doi:10.5281/zenodo.10085118
['000_photogrammetry_report.pdf', 'PROCESSED_DATA.zip']
DOI already present: 10085118
{"created": "2023-11-08T18:49:09.223881+00:00", "modified": "2023-11-08T18:55:38.536679+00:00", "id": 10085118, "conceptrecid": "8436242", "conceptdoi": "10.5281/zenodo.8436242", "metadata": {"title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Jolly roger, Mayotte - 20220910", "publication_date": "2023-10-11", "description": "\"Ce jeu de donn\u00e9es pr\u00e9sente les r\u00e9sultats des traitements photogramm\u00e9triques d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Jolly roger, Mayotte \u00e0 la date suivante : 20220910.\n<br>\n<br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise \u00e0 \u00e9tudier l'implantation de r\u00e9cifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace a\u00e9rien contr\u00f4l\u00e9, les vols ont \u00e9t\u00e9 ex\u00e9cut\u00e9s en regard de la r\u00e9glmentation et en contact avec la tour de contr\u00f4le de l'a\u00e9roport de Mayotte. \n<br>\n<br>\n<br><br>Le param\u00e9trage du logiciel OpenDroneMap est partag\u00e9 pour permettre la reproductibilit\u00e9 ou l'am\u00e9lioration des traitements propos\u00e9s:<br>\n[\n<br> {\n<br> 'name': 'orthophoto-resolution',\n<br> 'value': 1\n<br> },\n<br> {\n<br> 'name': 'auto-boundary',\n<br> 'value': true\n<br> },\n<br> {\n<br> 'name': 'dem-resolution',\n<br> 'value': '2.0'\n<br> },\n<br> {\n<br> 'name': 'dsm',\n<br> 'value': true\n<br> }\n<br> ]\n<br>\n<br><b>Le d\u00e9p\u00f4t est compos\u00e9 des \u00e9l\u00e9ments suivants:</b>\n<br> - 00_: Planche d'aper\u00e7u des images\n<br> - DCIM.zip: Images brutes issues du drone\n<br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la g\u00e9olocalisation des images accompagn\u00e9es de leurs miniatures dans la table d'attribut en base64\n<br> - METADATA.zip: M\u00e9tadonn\u00e9es au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br> - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ...\n<br>\n<br><b>Arborescence d'origine:</b>\n<br>\u2514\u2500 20220910_MYT-jolly-roger_UAV-02_3\n<br> \u2514\u2500 DCIM\n<br> \u2514\u2500 GPS\n<br> \u2514\u2500 METADATA\n<br> \u2514\u2500 tb\n<br> \u2514\u2500 PROCESSED_DATA\n<br>\n<br><b>Informations de survol:</b>\n<br>Diff\u00e9rentes hauteurs de vols, angles des transects et angles de cam\u00e9ra ont \u00e9t\u00e9 utilis\u00e9s dans le but d'obtenir des donn\u00e9es de qualit\u00e9 en fonction des conditions m\u00e9t\u00e9orologiques et marines.\n<br>- Camera model and parameters:\n<br> Make: Hasselblad\n<br> Model: L1D-20c\n<br> Width: 5472\n<br> Height: 3648\n<br> Focal: 28\n<br> WhiteBalance: Manual\n<br> ExposureMode: Auto Exposure\n<br> ColoSpace: sRGB\n<br> EV: -0.7\n<br> MeteringMode: CenterWeightedAverage\n<br> Camera Pitch: -90.00\n<br>\n<br>- Survey informations:\n<br> No Images: 198\n<br> Median height: 119 meters\n<br> Survey area: 27.47 hectares\n<br> Survey from: 2022:09:10 12:48:38 to: 2022:09:10 13:01:33\n<br>\"", "access_right": "open", "creators": [{"name": "sylvain.poulain@ird.fr", "affiliation": null}, {"name": "isabel.urbina-barreto@ird.fr", "affiliation": null}, {"name": "julien.barde@ird.fr", "affiliation": null}, {"name": "francois.guilhaumon@ird.fr", "affiliation": null}], "keywords": ["Future Maore Reef", "drone", "lagon", "corail", "reef"], "related_identifiers": [{"identifier": "urn:20220910_MYT-jolly-roger_UAV-02_3", "relation": "isIdenticalTo", "scheme": "urn"}], "version": "PROCESSED DATA", "language": "fra", "license": "cc-by-4.0", "imprint_publisher": "Zenodo", "notes": "<p></p><div class=\"ui message warning\">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br>", "upload_type": "dataset", "prereserve_doi": {"doi": "10.5281/zenodo.10085118", "recid": 10085118}}, "title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Jolly roger, Mayotte - 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Version in draft status
Enrich upload with metadata
{'metadata': {'title': "Orthophoto & DEM (MNE) issues d'images drone, UAV, Jolly roger, Mayotte - 20220910", 'publication_date': '2023-10-11', 'description': '"Ce jeu de données présente les résultats des traitements photogrammétriques d’images de drone DJI Mavic 2 Pro UAV acquises sur le site de Jolly roger, Mayotte à la date suivante : 20220910.\n<br />\n<br />Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l’objectif de la mission vise à étudier l’implantation de récifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace aérien contrôlé, les vols ont été exécutés en regard de la réglmentation et en contact avec la tour de contrôle de l\'aéroport de Mayotte. \n<br />\n<br />\n<br /><br />Le paramétrage du logiciel OpenDroneMap est partagé pour permettre la reproductibilité ou l\'amélioration des traitements proposés:<br />\n[\n<br /> {\n<br /> \'name\': \'orthophoto-resolution\',\n<br /> \'value\': 1\n<br /> },\n<br /> {\n<br /> \'name\': \'auto-boundary\',\n<br /> \'value\': true\n<br /> },\n<br /> {\n<br /> \'name\': \'dem-resolution\',\n<br /> \'value\': \'2.0\'\n<br /> },\n<br /> {\n<br /> \'name\': \'dsm\',\n<br /> \'value\': true\n<br /> }\n<br /> ]\n<br />\n<br /><b>Le dépôt est composé des éléments suivants:</b>\n<br /> - 00_: Planche d\'aperçu des images\n<br /> - DCIM.zip: Images brutes issues du drone\n<br /> - GPS.zip: Geopackage contenant l’emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d’attribut en base64\n<br /> - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br /> - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ...\n<br />\n<br /><b>Arborescence d\'origine:</b>\n<br />└─ 20220910_MYT-jolly-roger_UAV-02_3\n<br /> └─ DCIM\n<br /> └─ GPS\n<br /> └─ METADATA\n<br /> └─ tb\n<br /> └─ PROCESSED_DATA\n<br />\n<br /><b>Informations de survol:</b>\n<br />Différentes hauteurs de vols, angles des transects et angles de caméra ont été utilisés dans le but d\'obtenir des données de qualité en fonction des conditions météorologiques et marines.\n<br />- Camera model and parameters:\n<br /> Make: Hasselblad\n<br /> Model: L1D-20c\n<br /> Width: 5472\n<br /> Height: 3648\n<br /> Focal: 28\n<br /> WhiteBalance: Manual\n<br /> ExposureMode: Auto Exposure\n<br /> ColoSpace: sRGB\n<br /> EV: -0.7\n<br /> MeteringMode: CenterWeightedAverage\n<br /> Camera Pitch: -90.00\n<br />\n<br />- Survey informations:\n<br /> No Images: 198\n<br /> Median height: 119 meters\n<br /> Survey area: 27.47 hectares\n<br /> Survey from: 2022:09:10 12:48:38 to: 2022:09:10 13:01:33\n<br />"', 'access_right': 'open', 'notes': '<p></p><div class="ui message warning">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br /><img src="https://github.com/IRDG2OI/geoflow-g2oi/raw/main/img/logos_partenaires.png?raw=True">', 'creators': [{'name': 'sylvain.poulain@ird.fr'}, {'name': 'isabel.urbina-barreto@ird.fr'}, {'name': 'julien.barde@ird.fr'}, {'name': 'francois.guilhaumon@ird.fr'}], 'keywords': ['Future Maore Reef', 'drone', 'lagon', 'corail', 'reef'], 'related_identifiers': [{'identifier': 'urn:20220910_MYT-jolly-roger_UAV-02_3', 'relation': 'isIdenticalTo', 'scheme': 'urn'}], 'version': 'PROCESSED DATA', 'language': 'fra', 'license': 'cc-by-4.0', 'imprint_publisher': 'Zenodo', 'upload_type': 'dataset'}}
upload data
Trying upload number: 1
/home/sylvain/DATA/MayotteFMR/20220910_MYT-jolly-roger_UAV-02_3/000_photogrammetry_report.pdf
md5: 246ad5b1466a578df1b6b324f620061e
/home/sylvain/DATA/MayotteFMR/20220910_MYT-jolly-roger_UAV-02_3/PROCESSED_DATA.zip
md5: 1aeaa0c00c621d36bdae9475dcc3eb5e
Publish record
{"created": "2023-11-08T18:58:07.026793+00:00", "modified": "2023-11-08T18:58:07.255905+00:00", "id": 10085118, "conceptrecid": "8436242", "doi": "10.5281/zenodo.10085118", "conceptdoi": "10.5281/zenodo.8436242", "doi_url": "https://doi.org/10.5281/zenodo.10085118", "metadata": {"title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Jolly roger, Mayotte - 20220910", "doi": "10.5281/zenodo.10085118", "publication_date": "2023-10-11", "description": "\"Ce jeu de donn\u00e9es pr\u00e9sente les r\u00e9sultats des traitements photogramm\u00e9triques d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Jolly roger, Mayotte \u00e0 la date suivante : 20220910.\n<br>\n<br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise \u00e0 \u00e9tudier l'implantation de r\u00e9cifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace a\u00e9rien contr\u00f4l\u00e9, les vols ont \u00e9t\u00e9 ex\u00e9cut\u00e9s en regard de la r\u00e9glmentation et en contact avec la tour de contr\u00f4le de l'a\u00e9roport de Mayotte. \n<br>\n<br>\n<br><br>Le param\u00e9trage du logiciel OpenDroneMap est partag\u00e9 pour permettre la reproductibilit\u00e9 ou l'am\u00e9lioration des traitements propos\u00e9s:<br>\n[\n<br> {\n<br> 'name': 'orthophoto-resolution',\n<br> 'value': 1\n<br> },\n<br> {\n<br> 'name': 'auto-boundary',\n<br> 'value': true\n<br> },\n<br> {\n<br> 'name': 'dem-resolution',\n<br> 'value': '2.0'\n<br> },\n<br> {\n<br> 'name': 'dsm',\n<br> 'value': true\n<br> }\n<br> ]\n<br>\n<br><b>Le d\u00e9p\u00f4t est compos\u00e9 des \u00e9l\u00e9ments suivants:</b>\n<br> - 00_: Planche d'aper\u00e7u des images\n<br> - DCIM.zip: Images brutes issues du drone\n<br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la g\u00e9olocalisation des images accompagn\u00e9es de leurs miniatures dans la table d'attribut en base64\n<br> - 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Dataset: 10 / 17
id:20220913_MYT-ngouja_UAV-02_2_
doi:10.5281/zenodo.10085119
['000_photogrammetry_report.pdf', 'PROCESSED_DATA.zip']
DOI already present: 10085119
{"created": "2023-11-08T18:49:43.181531+00:00", "modified": "2023-11-08T18:55:43.969472+00:00", "id": 10085119, "conceptrecid": "8436249", "conceptdoi": "10.5281/zenodo.8436249", "metadata": {"title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Ngouja, Mayotte - 20220913", "publication_date": "2023-10-11", "description": "\"Ce jeu de donn\u00e9es pr\u00e9sente les r\u00e9sultats des traitements photogramm\u00e9triques d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Ngouja, Mayotte \u00e0 la date suivante : 20220913.\n<br>\n<br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise \u00e0 \u00e9tudier l'implantation de r\u00e9cifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace a\u00e9rien contr\u00f4l\u00e9, les vols ont \u00e9t\u00e9 ex\u00e9cut\u00e9s en regard de la r\u00e9glmentation et en contact avec la tour de contr\u00f4le de l'a\u00e9roport de Mayotte. \n<br>\n<br>\n<br><br>Le param\u00e9trage du logiciel OpenDroneMap est partag\u00e9 pour permettre la reproductibilit\u00e9 ou l'am\u00e9lioration des traitements propos\u00e9s:<br>\n[\n<br> {\n<br> 'name': 'orthophoto-resolution',\n<br> 'value': 1\n<br> },\n<br> {\n<br> 'name': 'auto-boundary',\n<br> 'value': true\n<br> },\n<br> {\n<br> 'name': 'dem-resolution',\n<br> 'value': '2.0'\n<br> },\n<br> {\n<br> 'name': 'dsm',\n<br> 'value': true\n<br> }\n<br> ]\n<br>\n<br><b>Le d\u00e9p\u00f4t est compos\u00e9 des \u00e9l\u00e9ments suivants:</b>\n<br> - 00_: Planche d'aper\u00e7u des images\n<br> - DCIM.zip: Images brutes issues du drone\n<br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la g\u00e9olocalisation des images accompagn\u00e9es de leurs miniatures dans la table d'attribut en base64\n<br> - METADATA.zip: M\u00e9tadonn\u00e9es au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br> - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ...\n<br>\n<br><b>Arborescence d'origine:</b>\n<br>\u2514\u2500 20220913_MYT-ngouja_UAV-02_2\n<br> \u2514\u2500 DCIM\n<br> \u2514\u2500 GPS\n<br> \u2514\u2500 METADATA\n<br> \u2514\u2500 tb\n<br> \u2514\u2500 PROCESSED_DATA\n<br>\n<br><b>Informations de survol:</b>\n<br>Diff\u00e9rentes hauteurs de vols, angles des transects et angles de cam\u00e9ra ont \u00e9t\u00e9 utilis\u00e9s dans le but d'obtenir des donn\u00e9es de qualit\u00e9 en fonction des conditions m\u00e9t\u00e9orologiques et marines.\n<br>- Camera model and parameters:\n<br> Make: Hasselblad\n<br> Model: L1D-20c\n<br> Width: 5472\n<br> Height: 3648\n<br> Focal: 28\n<br> WhiteBalance: Manual\n<br> ExposureMode: Auto Exposure\n<br> ColoSpace: sRGB\n<br> EV: -0.7\n<br> MeteringMode: Average\n<br> Camera Pitch: -75.00\n<br>\n<br>- Survey informations:\n<br> No Images: 361\n<br> Median height: 70 meters\n<br> Survey area: 7.06 hectares\n<br> Survey from: 2022:09:13 14:41:28 to: 2022:09:13 14:55:42\n<br>\"", "access_right": "open", "creators": [{"name": "sylvain.poulain@ird.fr", "affiliation": null}, {"name": "isabel.urbina-barreto@ird.fr", "affiliation": null}, {"name": "julien.barde@ird.fr", "affiliation": null}, {"name": "francois.guilhaumon@ird.fr", "affiliation": null}], "keywords": ["Future Maore Reef", "drone", "lagon", "corail", "reef"], "related_identifiers": [{"identifier": "urn:20220913_MYT-ngouja_UAV-02_2", "relation": "isIdenticalTo", "scheme": "urn"}], "version": "PROCESSED DATA", "language": "fra", "license": "cc-by-4.0", "imprint_publisher": "Zenodo", "notes": "<p></p><div class=\"ui message warning\">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br>", "upload_type": "dataset", "prereserve_doi": {"doi": "10.5281/zenodo.10085119", "recid": 10085119}}, "title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Ngouja, Mayotte - 20220913", "links": {"self": "https://zenodo.org/api/deposit/depositions/10085119", "html": "https://zenodo.org/deposit/10085119", "badge": "https://zenodo.org/badge/doi/.svg", "files": "https://zenodo.org/api/deposit/depositions/10085119/files", "bucket": "https://zenodo.org/api/files/62122237-be62-480e-9602-f854005d62bb", "thumb250": "https://zenodo.org/record/10085119/thumb250", "thumbs": {"10": "https://zenodo.org/record/10085119/thumb10", "50": "https://zenodo.org/record/10085119/thumb50", "100": "https://zenodo.org/record/10085119/thumb100", "250": "https://zenodo.org/record/10085119/thumb250", "750": "https://zenodo.org/record/10085119/thumb750", "1200": "https://zenodo.org/record/10085119/thumb1200"}, "latest_draft": "https://zenodo.org/api/deposit/depositions/10085119", "latest_draft_html": "https://zenodo.org/deposit/10085119", "publish": "https://zenodo.org/api/deposit/depositions/10085119/actions/publish", "edit": "https://zenodo.org/api/deposit/depositions/10085119/actions/edit", "discard": "https://zenodo.org/api/deposit/depositions/10085119/actions/discard", "newversion": "https://zenodo.org/api/deposit/depositions/10085119/actions/newversion", "registerconceptdoi": "https://zenodo.org/api/deposit/depositions/10085119/actions/registerconceptdoi"}, "record_id": 10085119, "owner": 601426, "files": [{"id": "78f1400e-6204-4db6-9c91-0158a561d6f0", "filename": "PROCESSED_DATA.zip", "filesize": 78030181, "checksum": "6ce0752c4d7b31b4ee860dda6049d80d", "links": {"self": "https://zenodo.org/api/deposit/depositions/10085119/files/78f1400e-6204-4db6-9c91-0158a561d6f0", "download": "https://zenodo.org/api/records/10085119/draft/files/PROCESSED_DATA.zip/content"}}, {"id": "c3c2dc48-0767-4ae5-9337-d753f5c923a9", "filename": "000_photogrammetry_report.pdf", "filesize": 3497013, "checksum": "c80f361ed0b65693beb2c9b5d40af8a2", "links": {"self": "https://zenodo.org/api/deposit/depositions/10085119/files/c3c2dc48-0767-4ae5-9337-d753f5c923a9", "download": "https://zenodo.org/api/records/10085119/draft/files/000_photogrammetry_report.pdf/content"}}, {"id": "67a75dd8-b428-4e8b-96b2-ea97b0bcdcb7", "filename": "00_sample_rawdata_overview.png", "filesize": 636462, "checksum": "e9ddc6d1930a77a5a0195e82409b273b", "links": {"self": "https://zenodo.org/api/deposit/depositions/10085119/files/67a75dd8-b428-4e8b-96b2-ea97b0bcdcb7", "download": "https://zenodo.org/api/records/10085119/draft/files/00_sample_rawdata_overview.png/content"}}, {"id": "ec9ae9d5-92be-4bc1-920b-5557556ed5bd", "filename": "DCIM.zip", "filesize": 3327268793, "checksum": "ba81805d772dc24b4f7710bfa61e2c67", "links": {"self": "https://zenodo.org/api/deposit/depositions/10085119/files/ec9ae9d5-92be-4bc1-920b-5557556ed5bd", "download": "https://zenodo.org/api/records/10085119/draft/files/DCIM.zip/content"}}, {"id": "370dfcfc-d760-4823-9571-b06f83ab4b22", "filename": "GPS.zip", "filesize": 7907612, "checksum": "1b57453159f2066f151949673c16ad92", "links": {"self": "https://zenodo.org/api/deposit/depositions/10085119/files/370dfcfc-d760-4823-9571-b06f83ab4b22", "download": "https://zenodo.org/api/records/10085119/draft/files/GPS.zip/content"}}, {"id": "f101f64f-5e8f-46a5-b483-42c6516a7cec", "filename": "METADATA.zip", "filesize": 15756186, "checksum": "b76440477c5050e4aa16a8f9c5ca29d6", "links": {"self": "https://zenodo.org/api/deposit/depositions/10085119/files/f101f64f-5e8f-46a5-b483-42c6516a7cec", "download": "https://zenodo.org/api/records/10085119/draft/files/METADATA.zip/content"}}], "state": "unsubmitted", "submitted": false}
Version in draft status
Enrich upload with metadata
{'metadata': {'title': "Orthophoto & DEM (MNE) issues d'images drone, UAV, Ngouja, Mayotte - 20220913", 'publication_date': '2023-10-11', 'description': '"Ce jeu de données présente les résultats des traitements photogrammétriques d’images de drone DJI Mavic 2 Pro UAV acquises sur le site de Ngouja, Mayotte à la date suivante : 20220913.\n<br />\n<br />Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l’objectif de la mission vise à étudier l’implantation de récifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace aérien contrôlé, les vols ont été exécutés en regard de la réglmentation et en contact avec la tour de contrôle de l\'aéroport de Mayotte. \n<br />\n<br />\n<br /><br />Le paramétrage du logiciel OpenDroneMap est partagé pour permettre la reproductibilité ou l\'amélioration des traitements proposés:<br />\n[\n<br /> {\n<br /> \'name\': \'orthophoto-resolution\',\n<br /> \'value\': 1\n<br /> },\n<br /> {\n<br /> \'name\': \'auto-boundary\',\n<br /> \'value\': true\n<br /> },\n<br /> {\n<br /> \'name\': \'dem-resolution\',\n<br /> \'value\': \'2.0\'\n<br /> },\n<br /> {\n<br /> \'name\': \'dsm\',\n<br /> \'value\': true\n<br /> }\n<br /> ]\n<br />\n<br /><b>Le dépôt est composé des éléments suivants:</b>\n<br /> - 00_: Planche d\'aperçu des images\n<br /> - DCIM.zip: Images brutes issues du drone\n<br /> - GPS.zip: Geopackage contenant l’emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d’attribut en base64\n<br /> - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br /> - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ...\n<br />\n<br /><b>Arborescence d\'origine:</b>\n<br />└─ 20220913_MYT-ngouja_UAV-02_2\n<br /> └─ DCIM\n<br /> └─ GPS\n<br /> └─ METADATA\n<br /> └─ tb\n<br /> └─ PROCESSED_DATA\n<br />\n<br /><b>Informations de survol:</b>\n<br />Différentes hauteurs de vols, angles des transects et angles de caméra ont été utilisés dans le but d\'obtenir des données de qualité en fonction des conditions météorologiques et marines.\n<br />- Camera model and parameters:\n<br /> Make: Hasselblad\n<br /> Model: L1D-20c\n<br /> Width: 5472\n<br /> Height: 3648\n<br /> Focal: 28\n<br /> WhiteBalance: Manual\n<br /> ExposureMode: Auto Exposure\n<br /> ColoSpace: sRGB\n<br /> EV: -0.7\n<br /> MeteringMode: Average\n<br /> Camera Pitch: -75.00\n<br />\n<br />- Survey informations:\n<br /> No Images: 361\n<br /> Median height: 70 meters\n<br /> Survey area: 7.06 hectares\n<br /> Survey from: 2022:09:13 14:41:28 to: 2022:09:13 14:55:42\n<br />"', 'access_right': 'open', 'notes': '<p></p><div class="ui message warning">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br /><img src="https://github.com/IRDG2OI/geoflow-g2oi/raw/main/img/logos_partenaires.png?raw=True">', 'creators': [{'name': 'sylvain.poulain@ird.fr'}, {'name': 'isabel.urbina-barreto@ird.fr'}, {'name': 'julien.barde@ird.fr'}, {'name': 'francois.guilhaumon@ird.fr'}], 'keywords': ['Future Maore Reef', 'drone', 'lagon', 'corail', 'reef'], 'related_identifiers': [{'identifier': 'urn:20220913_MYT-ngouja_UAV-02_2', 'relation': 'isIdenticalTo', 'scheme': 'urn'}], 'version': 'PROCESSED DATA', 'language': 'fra', 'license': 'cc-by-4.0', 'imprint_publisher': 'Zenodo', 'upload_type': 'dataset'}}
upload data
Trying upload number: 1
/home/sylvain/DATA/MayotteFMR/20220913_MYT-ngouja_UAV-02_2/000_photogrammetry_report.pdf
md5: c80f361ed0b65693beb2c9b5d40af8a2
/home/sylvain/DATA/MayotteFMR/20220913_MYT-ngouja_UAV-02_2/PROCESSED_DATA.zip
md5: 6ce0752c4d7b31b4ee860dda6049d80d
Publish record
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Dataset: 11 / 17
id:20220910_MYT-jollyroger_UAV-02_2_
doi:10.5281/zenodo.10085126
['000_photogrammetry_report.pdf', 'PROCESSED_DATA.zip']
DOI already present: 10085126
{"created": "2023-11-08T18:49:58.685508+00:00", "modified": "2023-11-08T18:55:45.466321+00:00", "id": 10085126, "conceptrecid": "8436261", "conceptdoi": "10.5281/zenodo.8436261", "metadata": {"title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Jollyroger, Mayotte - 20220910", "publication_date": "2023-10-11", "description": "\"Ce jeu de donn\u00e9es pr\u00e9sente les r\u00e9sultats des traitements photogramm\u00e9triques d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Jollyroger, Mayotte \u00e0 la date suivante : 20220910.\n<br>\n<br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise \u00e0 \u00e9tudier l'implantation de r\u00e9cifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace a\u00e9rien contr\u00f4l\u00e9, les vols ont \u00e9t\u00e9 ex\u00e9cut\u00e9s en regard de la r\u00e9glmentation et en contact avec la tour de contr\u00f4le de l'a\u00e9roport de Mayotte. \n<br>\n<br>\n<br><br>Le param\u00e9trage du logiciel OpenDroneMap est partag\u00e9 pour permettre la reproductibilit\u00e9 ou l'am\u00e9lioration des traitements propos\u00e9s:<br>\n[\n<br> {\n<br> 'name': 'orthophoto-resolution',\n<br> 'value': 1\n<br> },\n<br> {\n<br> 'name': 'auto-boundary',\n<br> 'value': true\n<br> },\n<br> {\n<br> 'name': 'dem-resolution',\n<br> 'value': '2.0'\n<br> },\n<br> {\n<br> 'name': 'dsm',\n<br> 'value': true\n<br> }\n<br> ]\n<br>\n<br><b>Le d\u00e9p\u00f4t est compos\u00e9 des \u00e9l\u00e9ments suivants:</b>\n<br> - 00_: Planche d'aper\u00e7u des images\n<br> - DCIM.zip: Images brutes issues du drone\n<br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la g\u00e9olocalisation des images accompagn\u00e9es de leurs miniatures dans la table d'attribut en base64\n<br> - METADATA.zip: M\u00e9tadonn\u00e9es au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br> - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ...\n<br>\n<br><b>Arborescence d'origine:</b>\n<br>\u2514\u2500 20220910_MYT-jollyroger_UAV-02_2\n<br> \u2514\u2500 DCIM\n<br> \u2514\u2500 GPS\n<br> \u2514\u2500 METADATA\n<br> \u2514\u2500 tb\n<br> \u2514\u2500 PROCESSED_DATA\n<br>\n<br><b>Informations de survol:</b>\n<br>Diff\u00e9rentes hauteurs de vols, angles des transects et angles de cam\u00e9ra ont \u00e9t\u00e9 utilis\u00e9s dans le but d'obtenir des donn\u00e9es de qualit\u00e9 en fonction des conditions m\u00e9t\u00e9orologiques et marines.\n<br>- Camera model and parameters:\n<br> Make: Hasselblad\n<br> Model: L1D-20c\n<br> Width: 5472\n<br> Height: 3648\n<br> Focal: 28\n<br> WhiteBalance: Manual\n<br> ExposureMode: Auto Exposure\n<br> ColoSpace: sRGB\n<br> EV: -0.7\n<br> MeteringMode: CenterWeightedAverage\n<br> Camera Pitch: -89.90\n<br>\n<br>- Survey informations:\n<br> No Images: 194\n<br> Median height: 119 meters\n<br> Survey area: 27.34 hectares\n<br> Survey from: 2022:09:10 12:28:03 to: 2022:09:10 12:40:27\n<br>\"", "access_right": "open", "creators": [{"name": "sylvain.poulain@ird.fr", "affiliation": null}, {"name": "isabel.urbina-barreto@ird.fr", "affiliation": null}, {"name": "julien.barde@ird.fr", "affiliation": null}, {"name": "francois.guilhaumon@ird.fr", "affiliation": null}], "keywords": ["Future Maore Reef", "drone", "lagon", "corail", "reef"], "related_identifiers": [{"identifier": "urn:20220910_MYT-jollyroger_UAV-02_2", "relation": "isIdenticalTo", "scheme": "urn"}], "version": "PROCESSED DATA", "language": "fra", "license": "cc-by-4.0", "imprint_publisher": "Zenodo", "notes": "<p></p><div class=\"ui message warning\">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br>", "upload_type": "dataset", "prereserve_doi": {"doi": "10.5281/zenodo.10085126", "recid": 10085126}}, "title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Jollyroger, Mayotte - 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Version in draft status
Enrich upload with metadata
{'metadata': {'title': "Orthophoto & DEM (MNE) issues d'images drone, UAV, Jollyroger, Mayotte - 20220910", 'publication_date': '2023-10-11', 'description': '"Ce jeu de données présente les résultats des traitements photogrammétriques d’images de drone DJI Mavic 2 Pro UAV acquises sur le site de Jollyroger, Mayotte à la date suivante : 20220910.\n<br />\n<br />Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l’objectif de la mission vise à étudier l’implantation de récifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace aérien contrôlé, les vols ont été exécutés en regard de la réglmentation et en contact avec la tour de contrôle de l\'aéroport de Mayotte. \n<br />\n<br />\n<br /><br />Le paramétrage du logiciel OpenDroneMap est partagé pour permettre la reproductibilité ou l\'amélioration des traitements proposés:<br />\n[\n<br /> {\n<br /> \'name\': \'orthophoto-resolution\',\n<br /> \'value\': 1\n<br /> },\n<br /> {\n<br /> \'name\': \'auto-boundary\',\n<br /> \'value\': true\n<br /> },\n<br /> {\n<br /> \'name\': \'dem-resolution\',\n<br /> \'value\': \'2.0\'\n<br /> },\n<br /> {\n<br /> \'name\': \'dsm\',\n<br /> \'value\': true\n<br /> }\n<br /> ]\n<br />\n<br /><b>Le dépôt est composé des éléments suivants:</b>\n<br /> - 00_: Planche d\'aperçu des images\n<br /> - DCIM.zip: Images brutes issues du drone\n<br /> - GPS.zip: Geopackage contenant l’emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d’attribut en base64\n<br /> - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br /> - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ...\n<br />\n<br /><b>Arborescence d\'origine:</b>\n<br />└─ 20220910_MYT-jollyroger_UAV-02_2\n<br /> └─ DCIM\n<br /> └─ GPS\n<br /> └─ METADATA\n<br /> └─ tb\n<br /> └─ PROCESSED_DATA\n<br />\n<br /><b>Informations de survol:</b>\n<br />Différentes hauteurs de vols, angles des transects et angles de caméra ont été utilisés dans le but d\'obtenir des données de qualité en fonction des conditions météorologiques et marines.\n<br />- Camera model and parameters:\n<br /> Make: Hasselblad\n<br /> Model: L1D-20c\n<br /> Width: 5472\n<br /> Height: 3648\n<br /> Focal: 28\n<br /> WhiteBalance: Manual\n<br /> ExposureMode: Auto Exposure\n<br /> ColoSpace: sRGB\n<br /> EV: -0.7\n<br /> MeteringMode: CenterWeightedAverage\n<br /> Camera Pitch: -89.90\n<br />\n<br />- Survey informations:\n<br /> No Images: 194\n<br /> Median height: 119 meters\n<br /> Survey area: 27.34 hectares\n<br /> Survey from: 2022:09:10 12:28:03 to: 2022:09:10 12:40:27\n<br />"', 'access_right': 'open', 'notes': '<p></p><div class="ui message warning">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br /><img src="https://github.com/IRDG2OI/geoflow-g2oi/raw/main/img/logos_partenaires.png?raw=True">', 'creators': [{'name': 'sylvain.poulain@ird.fr'}, {'name': 'isabel.urbina-barreto@ird.fr'}, {'name': 'julien.barde@ird.fr'}, {'name': 'francois.guilhaumon@ird.fr'}], 'keywords': ['Future Maore Reef', 'drone', 'lagon', 'corail', 'reef'], 'related_identifiers': [{'identifier': 'urn:20220910_MYT-jollyroger_UAV-02_2', 'relation': 'isIdenticalTo', 'scheme': 'urn'}], 'version': 'PROCESSED DATA', 'language': 'fra', 'license': 'cc-by-4.0', 'imprint_publisher': 'Zenodo', 'upload_type': 'dataset'}}
upload data
Trying upload number: 1
/home/sylvain/DATA/MayotteFMR/20220910_MYT-jollyroger_UAV-02_2/000_photogrammetry_report.pdf
md5: e78ff52e6f07ee5b0ae0dfac6edfe20e
/home/sylvain/DATA/MayotteFMR/20220910_MYT-jollyroger_UAV-02_2/PROCESSED_DATA.zip
md5: 32e199e73bf99de980960600ed4efc10
Publish record
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En espace a\u00e9rien contr\u00f4l\u00e9, les vols ont \u00e9t\u00e9 ex\u00e9cut\u00e9s en regard de la r\u00e9glmentation et en contact avec la tour de contr\u00f4le de l'a\u00e9roport de Mayotte. \n<br>\n<br>\n<br><br>Le param\u00e9trage du logiciel OpenDroneMap est partag\u00e9 pour permettre la reproductibilit\u00e9 ou l'am\u00e9lioration des traitements propos\u00e9s:<br>\n[\n<br> {\n<br> 'name': 'orthophoto-resolution',\n<br> 'value': 1\n<br> },\n<br> {\n<br> 'name': 'auto-boundary',\n<br> 'value': true\n<br> },\n<br> {\n<br> 'name': 'dem-resolution',\n<br> 'value': '2.0'\n<br> },\n<br> {\n<br> 'name': 'dsm',\n<br> 'value': true\n<br> }\n<br> ]\n<br>\n<br><b>Le d\u00e9p\u00f4t est compos\u00e9 des \u00e9l\u00e9ments suivants:</b>\n<br> - 00_: Planche d'aper\u00e7u des images\n<br> - DCIM.zip: Images brutes issues du drone\n<br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la g\u00e9olocalisation des images accompagn\u00e9es de leurs miniatures dans la table d'attribut en base64\n<br> - 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Dataset: 12 / 17
id:20220913_MYT-jollyroger_UAV-02_1_
doi:10.5281/zenodo.10085131
['000_photogrammetry_report.pdf', 'PROCESSED_DATA.zip']
DOI already present: 10085131
{"created": "2023-11-08T18:50:14.078720+00:00", "modified": "2023-11-08T18:55:46.678053+00:00", "id": 10085131, "conceptrecid": "8436271", "conceptdoi": "10.5281/zenodo.8436271", "metadata": {"title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Jollyroger, Mayotte - 20220913", "publication_date": "2023-10-11", "description": "\"Ce jeu de donn\u00e9es pr\u00e9sente les r\u00e9sultats des traitements photogramm\u00e9triques d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Jollyroger, Mayotte \u00e0 la date suivante : 20220913.\n<br>\n<br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise \u00e0 \u00e9tudier l'implantation de r\u00e9cifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace a\u00e9rien contr\u00f4l\u00e9, les vols ont \u00e9t\u00e9 ex\u00e9cut\u00e9s en regard de la r\u00e9glmentation et en contact avec la tour de contr\u00f4le de l'a\u00e9roport de Mayotte. \n<br>\n<br>\n<br><br>Le param\u00e9trage du logiciel OpenDroneMap est partag\u00e9 pour permettre la reproductibilit\u00e9 ou l'am\u00e9lioration des traitements propos\u00e9s:<br>\n[\n<br> {\n<br> 'name': 'orthophoto-resolution',\n<br> 'value': 1\n<br> },\n<br> {\n<br> 'name': 'auto-boundary',\n<br> 'value': true\n<br> },\n<br> {\n<br> 'name': 'dem-resolution',\n<br> 'value': '2.0'\n<br> },\n<br> {\n<br> 'name': 'dsm',\n<br> 'value': true\n<br> }\n<br> ]\n<br>\n<br><b>Le d\u00e9p\u00f4t est compos\u00e9 des \u00e9l\u00e9ments suivants:</b>\n<br> - 00_: Planche d'aper\u00e7u des images\n<br> - DCIM.zip: Images brutes issues du drone\n<br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la g\u00e9olocalisation des images accompagn\u00e9es de leurs miniatures dans la table d'attribut en base64\n<br> - METADATA.zip: M\u00e9tadonn\u00e9es au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br> - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ...\n<br>\n<br><b>Arborescence d'origine:</b>\n<br>\u2514\u2500 20220913_MYT-jollyroger_UAV-02_1\n<br> \u2514\u2500 DCIM\n<br> \u2514\u2500 GPS\n<br> \u2514\u2500 METADATA\n<br> \u2514\u2500 tb\n<br> \u2514\u2500 PROCESSED_DATA\n<br>\n<br><b>Informations de survol:</b>\n<br>Diff\u00e9rentes hauteurs de vols, angles des transects et angles de cam\u00e9ra ont \u00e9t\u00e9 utilis\u00e9s dans le but d'obtenir des donn\u00e9es de qualit\u00e9 en fonction des conditions m\u00e9t\u00e9orologiques et marines.\n<br>- Camera model and parameters:\n<br> Make: Hasselblad\n<br> Model: L1D-20c\n<br> Width: 5472\n<br> Height: 3648\n<br> Focal: 28\n<br> WhiteBalance: Manual\n<br> ExposureMode: Auto Exposure\n<br> ColoSpace: sRGB\n<br> EV: -0.7\n<br> MeteringMode: CenterWeightedAverage\n<br> Camera Pitch: -75.00\n<br>\n<br>- Survey informations:\n<br> No Images: 327\n<br> Median height: 40 meters\n<br> Survey area: 3.06 hectares\n<br> Survey from: 2022:09:13 10:38:10 to: 2022:09:13 10:52:26\n<br>\"", "access_right": "open", "creators": [{"name": "sylvain.poulain@ird.fr", "affiliation": null}, {"name": "isabel.urbina-barreto@ird.fr", "affiliation": null}, {"name": "julien.barde@ird.fr", "affiliation": null}, {"name": "francois.guilhaumon@ird.fr", "affiliation": null}], "keywords": ["Future Maore Reef", "drone", "lagon", "corail", "reef"], "related_identifiers": [{"identifier": "urn:20220913_MYT-jollyroger_UAV-02_1", "relation": "isIdenticalTo", "scheme": "urn"}], "version": "PROCESSED DATA", "language": "fra", "license": "cc-by-4.0", "imprint_publisher": "Zenodo", "notes": "<p></p><div class=\"ui message warning\">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br>", "upload_type": "dataset", "prereserve_doi": {"doi": "10.5281/zenodo.10085131", "recid": 10085131}}, "title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Jollyroger, Mayotte - 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Version in draft status
Enrich upload with metadata
{'metadata': {'title': "Orthophoto & DEM (MNE) issues d'images drone, UAV, Jollyroger, Mayotte - 20220913", 'publication_date': '2023-10-11', 'description': '"Ce jeu de données présente les résultats des traitements photogrammétriques d’images de drone DJI Mavic 2 Pro UAV acquises sur le site de Jollyroger, Mayotte à la date suivante : 20220913.\n<br />\n<br />Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l’objectif de la mission vise à étudier l’implantation de récifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace aérien contrôlé, les vols ont été exécutés en regard de la réglmentation et en contact avec la tour de contrôle de l\'aéroport de Mayotte. \n<br />\n<br />\n<br /><br />Le paramétrage du logiciel OpenDroneMap est partagé pour permettre la reproductibilité ou l\'amélioration des traitements proposés:<br />\n[\n<br /> {\n<br /> \'name\': \'orthophoto-resolution\',\n<br /> \'value\': 1\n<br /> },\n<br /> {\n<br /> \'name\': \'auto-boundary\',\n<br /> \'value\': true\n<br /> },\n<br /> {\n<br /> \'name\': \'dem-resolution\',\n<br /> \'value\': \'2.0\'\n<br /> },\n<br /> {\n<br /> \'name\': \'dsm\',\n<br /> \'value\': true\n<br /> }\n<br /> ]\n<br />\n<br /><b>Le dépôt est composé des éléments suivants:</b>\n<br /> - 00_: Planche d\'aperçu des images\n<br /> - DCIM.zip: Images brutes issues du drone\n<br /> - GPS.zip: Geopackage contenant l’emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d’attribut en base64\n<br /> - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br /> - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ...\n<br />\n<br /><b>Arborescence d\'origine:</b>\n<br />└─ 20220913_MYT-jollyroger_UAV-02_1\n<br /> └─ DCIM\n<br /> └─ GPS\n<br /> └─ METADATA\n<br /> └─ tb\n<br /> └─ PROCESSED_DATA\n<br />\n<br /><b>Informations de survol:</b>\n<br />Différentes hauteurs de vols, angles des transects et angles de caméra ont été utilisés dans le but d\'obtenir des données de qualité en fonction des conditions météorologiques et marines.\n<br />- Camera model and parameters:\n<br /> Make: Hasselblad\n<br /> Model: L1D-20c\n<br /> Width: 5472\n<br /> Height: 3648\n<br /> Focal: 28\n<br /> WhiteBalance: Manual\n<br /> ExposureMode: Auto Exposure\n<br /> ColoSpace: sRGB\n<br /> EV: -0.7\n<br /> MeteringMode: CenterWeightedAverage\n<br /> Camera Pitch: -75.00\n<br />\n<br />- Survey informations:\n<br /> No Images: 327\n<br /> Median height: 40 meters\n<br /> Survey area: 3.06 hectares\n<br /> Survey from: 2022:09:13 10:38:10 to: 2022:09:13 10:52:26\n<br />"', 'access_right': 'open', 'notes': '<p></p><div class="ui message warning">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br /><img src="https://github.com/IRDG2OI/geoflow-g2oi/raw/main/img/logos_partenaires.png?raw=True">', 'creators': [{'name': 'sylvain.poulain@ird.fr'}, {'name': 'isabel.urbina-barreto@ird.fr'}, {'name': 'julien.barde@ird.fr'}, {'name': 'francois.guilhaumon@ird.fr'}], 'keywords': ['Future Maore Reef', 'drone', 'lagon', 'corail', 'reef'], 'related_identifiers': [{'identifier': 'urn:20220913_MYT-jollyroger_UAV-02_1', 'relation': 'isIdenticalTo', 'scheme': 'urn'}], 'version': 'PROCESSED DATA', 'language': 'fra', 'license': 'cc-by-4.0', 'imprint_publisher': 'Zenodo', 'upload_type': 'dataset'}}
upload data
Trying upload number: 1
/home/sylvain/DATA/MayotteFMR/20220913_MYT-jollyroger_UAV-02_1/000_photogrammetry_report.pdf
md5: 75bc254fbeba11360765b28399c25746
/home/sylvain/DATA/MayotteFMR/20220913_MYT-jollyroger_UAV-02_1/PROCESSED_DATA.zip
md5: 6e6cfa1a18e5e166f2a16710ab00a928
Publish record
{"created": "2023-11-08T18:58:15.207193+00:00", "modified": "2023-11-08T18:58:15.650851+00:00", "id": 10085131, "conceptrecid": "8436271", "doi": "10.5281/zenodo.10085131", "conceptdoi": "10.5281/zenodo.8436271", "doi_url": "https://doi.org/10.5281/zenodo.10085131", "metadata": {"title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Jollyroger, Mayotte - 20220913", "doi": "10.5281/zenodo.10085131", "publication_date": "2023-10-11", "description": "\"Ce jeu de donn\u00e9es pr\u00e9sente les r\u00e9sultats des traitements photogramm\u00e9triques d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Jollyroger, Mayotte \u00e0 la date suivante : 20220913.\n<br>\n<br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise \u00e0 \u00e9tudier l'implantation de r\u00e9cifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace a\u00e9rien contr\u00f4l\u00e9, les vols ont \u00e9t\u00e9 ex\u00e9cut\u00e9s en regard de la r\u00e9glmentation et en contact avec la tour de contr\u00f4le de l'a\u00e9roport de Mayotte. \n<br>\n<br>\n<br><br>Le param\u00e9trage du logiciel OpenDroneMap est partag\u00e9 pour permettre la reproductibilit\u00e9 ou l'am\u00e9lioration des traitements propos\u00e9s:<br>\n[\n<br> {\n<br> 'name': 'orthophoto-resolution',\n<br> 'value': 1\n<br> },\n<br> {\n<br> 'name': 'auto-boundary',\n<br> 'value': true\n<br> },\n<br> {\n<br> 'name': 'dem-resolution',\n<br> 'value': '2.0'\n<br> },\n<br> {\n<br> 'name': 'dsm',\n<br> 'value': true\n<br> }\n<br> ]\n<br>\n<br><b>Le d\u00e9p\u00f4t est compos\u00e9 des \u00e9l\u00e9ments suivants:</b>\n<br> - 00_: Planche d'aper\u00e7u des images\n<br> - DCIM.zip: Images brutes issues du drone\n<br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la g\u00e9olocalisation des images accompagn\u00e9es de leurs miniatures dans la table d'attribut en base64\n<br> - 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Dataset: 13 / 17
id:20220914_MYT-aeroport_UAV-02_1_
doi:10.5281/zenodo.10085135
['000_photogrammetry_report.pdf', 'PROCESSED_DATA.zip']
DOI already present: 10085135
{"created": "2023-11-08T18:50:29.054725+00:00", "modified": "2023-11-08T18:55:48.142707+00:00", "id": 10085135, "conceptrecid": "8436275", "conceptdoi": "10.5281/zenodo.8436275", "metadata": {"title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Aeroport, Mayotte - 20220914", "publication_date": "2023-10-11", "description": "\"Ce jeu de donn\u00e9es pr\u00e9sente les r\u00e9sultats des traitements photogramm\u00e9triques d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Aeroport, Mayotte \u00e0 la date suivante : 20220914.\n<br>\n<br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise \u00e0 \u00e9tudier l'implantation de r\u00e9cifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace a\u00e9rien contr\u00f4l\u00e9, les vols ont \u00e9t\u00e9 ex\u00e9cut\u00e9s en regard de la r\u00e9glmentation et en contact avec la tour de contr\u00f4le de l'a\u00e9roport de Mayotte. \n<br>\n<br>\n<br><br>Le param\u00e9trage du logiciel OpenDroneMap est partag\u00e9 pour permettre la reproductibilit\u00e9 ou l'am\u00e9lioration des traitements propos\u00e9s:<br>\n[\n<br> {\n<br> 'name': 'orthophoto-resolution',\n<br> 'value': 1\n<br> },\n<br> {\n<br> 'name': 'auto-boundary',\n<br> 'value': true\n<br> },\n<br> {\n<br> 'name': 'dem-resolution',\n<br> 'value': '2.0'\n<br> },\n<br> {\n<br> 'name': 'dsm',\n<br> 'value': true\n<br> }\n<br> ]\n<br>\n<br><b>Le d\u00e9p\u00f4t est compos\u00e9 des \u00e9l\u00e9ments suivants:</b>\n<br> - 00_: Planche d'aper\u00e7u des images\n<br> - DCIM.zip: Images brutes issues du drone\n<br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la g\u00e9olocalisation des images accompagn\u00e9es de leurs miniatures dans la table d'attribut en base64\n<br> - METADATA.zip: M\u00e9tadonn\u00e9es au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br> - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ...\n<br>\n<br><b>Arborescence d'origine:</b>\n<br>\u2514\u2500 20220914_MYT-aeroport_UAV-02_1\n<br> \u2514\u2500 DCIM\n<br> \u2514\u2500 GPS\n<br> \u2514\u2500 METADATA\n<br> \u2514\u2500 tb\n<br> \u2514\u2500 PROCESSED_DATA\n<br>\n<br><b>Informations de survol:</b>\n<br>Diff\u00e9rentes hauteurs de vols, angles des transects et angles de cam\u00e9ra ont \u00e9t\u00e9 utilis\u00e9s dans le but d'obtenir des donn\u00e9es de qualit\u00e9 en fonction des conditions m\u00e9t\u00e9orologiques et marines.\n<br>- Camera model and parameters:\n<br> Make: Hasselblad\n<br> Model: L1D-20c\n<br> Width: 5472\n<br> Height: 3648\n<br> Focal: 28\n<br> WhiteBalance: Manual\n<br> ExposureMode: Auto Exposure\n<br> ColoSpace: sRGB\n<br> EV: -0.7\n<br> MeteringMode: CenterWeightedAverage\n<br> Camera Pitch: -75.00\n<br>\n<br>- Survey informations:\n<br> No Images: 395\n<br> Median height: 70 meters\n<br> Survey area: 9.43 hectares\n<br> Survey from: 2022:09:14 08:44:46 to: 2022:09:14 09:00:26\n<br>\"", "access_right": "open", "creators": [{"name": "sylvain.poulain@ird.fr", "affiliation": null}, {"name": "isabel.urbina-barreto@ird.fr", "affiliation": null}, {"name": "julien.barde@ird.fr", "affiliation": null}, {"name": "francois.guilhaumon@ird.fr", "affiliation": null}], "keywords": ["Future Maore Reef", "drone", "lagon", "corail", "reef"], "related_identifiers": [{"identifier": "urn:20220914_MYT-aeroport_UAV-02_1", "relation": "isIdenticalTo", "scheme": "urn"}], "version": "PROCESSED DATA", "language": "fra", "license": "cc-by-4.0", "imprint_publisher": "Zenodo", "notes": "<p></p><div class=\"ui message warning\">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br>", "upload_type": "dataset", "prereserve_doi": {"doi": "10.5281/zenodo.10085135", "recid": 10085135}}, "title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Aeroport, Mayotte - 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Version in draft status
Enrich upload with metadata
{'metadata': {'title': "Orthophoto & DEM (MNE) issues d'images drone, UAV, Aeroport, Mayotte - 20220914", 'publication_date': '2023-10-11', 'description': '"Ce jeu de données présente les résultats des traitements photogrammétriques d’images de drone DJI Mavic 2 Pro UAV acquises sur le site de Aeroport, Mayotte à la date suivante : 20220914.\n<br />\n<br />Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l’objectif de la mission vise à étudier l’implantation de récifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace aérien contrôlé, les vols ont été exécutés en regard de la réglmentation et en contact avec la tour de contrôle de l\'aéroport de Mayotte. \n<br />\n<br />\n<br /><br />Le paramétrage du logiciel OpenDroneMap est partagé pour permettre la reproductibilité ou l\'amélioration des traitements proposés:<br />\n[\n<br /> {\n<br /> \'name\': \'orthophoto-resolution\',\n<br /> \'value\': 1\n<br /> },\n<br /> {\n<br /> \'name\': \'auto-boundary\',\n<br /> \'value\': true\n<br /> },\n<br /> {\n<br /> \'name\': \'dem-resolution\',\n<br /> \'value\': \'2.0\'\n<br /> },\n<br /> {\n<br /> \'name\': \'dsm\',\n<br /> \'value\': true\n<br /> }\n<br /> ]\n<br />\n<br /><b>Le dépôt est composé des éléments suivants:</b>\n<br /> - 00_: Planche d\'aperçu des images\n<br /> - DCIM.zip: Images brutes issues du drone\n<br /> - GPS.zip: Geopackage contenant l’emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d’attribut en base64\n<br /> - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br /> - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ...\n<br />\n<br /><b>Arborescence d\'origine:</b>\n<br />└─ 20220914_MYT-aeroport_UAV-02_1\n<br /> └─ DCIM\n<br /> └─ GPS\n<br /> └─ METADATA\n<br /> └─ tb\n<br /> └─ PROCESSED_DATA\n<br />\n<br /><b>Informations de survol:</b>\n<br />Différentes hauteurs de vols, angles des transects et angles de caméra ont été utilisés dans le but d\'obtenir des données de qualité en fonction des conditions météorologiques et marines.\n<br />- Camera model and parameters:\n<br /> Make: Hasselblad\n<br /> Model: L1D-20c\n<br /> Width: 5472\n<br /> Height: 3648\n<br /> Focal: 28\n<br /> WhiteBalance: Manual\n<br /> ExposureMode: Auto Exposure\n<br /> ColoSpace: sRGB\n<br /> EV: -0.7\n<br /> MeteringMode: CenterWeightedAverage\n<br /> Camera Pitch: -75.00\n<br />\n<br />- Survey informations:\n<br /> No Images: 395\n<br /> Median height: 70 meters\n<br /> Survey area: 9.43 hectares\n<br /> Survey from: 2022:09:14 08:44:46 to: 2022:09:14 09:00:26\n<br />"', 'access_right': 'open', 'notes': '<p></p><div class="ui message warning">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br /><img src="https://github.com/IRDG2OI/geoflow-g2oi/raw/main/img/logos_partenaires.png?raw=True">', 'creators': [{'name': 'sylvain.poulain@ird.fr'}, {'name': 'isabel.urbina-barreto@ird.fr'}, {'name': 'julien.barde@ird.fr'}, {'name': 'francois.guilhaumon@ird.fr'}], 'keywords': ['Future Maore Reef', 'drone', 'lagon', 'corail', 'reef'], 'related_identifiers': [{'identifier': 'urn:20220914_MYT-aeroport_UAV-02_1', 'relation': 'isIdenticalTo', 'scheme': 'urn'}], 'version': 'PROCESSED DATA', 'language': 'fra', 'license': 'cc-by-4.0', 'imprint_publisher': 'Zenodo', 'upload_type': 'dataset'}}
upload data
Trying upload number: 1
/home/sylvain/DATA/MayotteFMR/20220914_MYT-aeroport_UAV-02_1/000_photogrammetry_report.pdf
md5: 630656b09310079b60b3540a386c4485
/home/sylvain/DATA/MayotteFMR/20220914_MYT-aeroport_UAV-02_1/PROCESSED_DATA.zip
md5: 41b914b2cd7c79aa214ea83640d44c03
Publish record
{"created": "2023-11-08T18:58:17.785383+00:00", "modified": "2023-11-08T18:58:18.030654+00:00", "id": 10085135, "conceptrecid": "8436275", "doi": "10.5281/zenodo.10085135", "conceptdoi": "10.5281/zenodo.8436275", "doi_url": "https://doi.org/10.5281/zenodo.10085135", "metadata": {"title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Aeroport, Mayotte - 20220914", "doi": "10.5281/zenodo.10085135", "publication_date": "2023-10-11", "description": "\"Ce jeu de donn\u00e9es pr\u00e9sente les r\u00e9sultats des traitements photogramm\u00e9triques d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Aeroport, Mayotte \u00e0 la date suivante : 20220914.\n<br>\n<br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise \u00e0 \u00e9tudier l'implantation de r\u00e9cifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace a\u00e9rien contr\u00f4l\u00e9, les vols ont \u00e9t\u00e9 ex\u00e9cut\u00e9s en regard de la r\u00e9glmentation et en contact avec la tour de contr\u00f4le de l'a\u00e9roport de Mayotte. \n<br>\n<br>\n<br><br>Le param\u00e9trage du logiciel OpenDroneMap est partag\u00e9 pour permettre la reproductibilit\u00e9 ou l'am\u00e9lioration des traitements propos\u00e9s:<br>\n[\n<br> {\n<br> 'name': 'orthophoto-resolution',\n<br> 'value': 1\n<br> },\n<br> {\n<br> 'name': 'auto-boundary',\n<br> 'value': true\n<br> },\n<br> {\n<br> 'name': 'dem-resolution',\n<br> 'value': '2.0'\n<br> },\n<br> {\n<br> 'name': 'dsm',\n<br> 'value': true\n<br> }\n<br> ]\n<br>\n<br><b>Le d\u00e9p\u00f4t est compos\u00e9 des \u00e9l\u00e9ments suivants:</b>\n<br> - 00_: Planche d'aper\u00e7u des images\n<br> - DCIM.zip: Images brutes issues du drone\n<br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la g\u00e9olocalisation des images accompagn\u00e9es de leurs miniatures dans la table d'attribut en base64\n<br> - 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Dataset: 14 / 17
id:20220913_MYT-ngouja_UAV-02_3_
doi:10.5281/zenodo.10085138
['000_photogrammetry_report.pdf', 'PROCESSED_DATA.zip']
DOI already present: 10085138
{"created": "2023-11-08T18:50:45.660818+00:00", "modified": "2023-11-08T18:55:49.572652+00:00", "id": 10085138, "conceptrecid": "8436285", "conceptdoi": "10.5281/zenodo.8436285", "metadata": {"title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Ngouja, Mayotte - 20220913", "publication_date": "2023-10-11", "description": "\"Ce jeu de donn\u00e9es pr\u00e9sente les r\u00e9sultats des traitements photogramm\u00e9triques d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Ngouja, Mayotte \u00e0 la date suivante : 20220913.\n<br>\n<br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise \u00e0 \u00e9tudier l'implantation de r\u00e9cifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace a\u00e9rien contr\u00f4l\u00e9, les vols ont \u00e9t\u00e9 ex\u00e9cut\u00e9s en regard de la r\u00e9glmentation et en contact avec la tour de contr\u00f4le de l'a\u00e9roport de Mayotte. \n<br>\n<br>\n<br><br>Le param\u00e9trage du logiciel OpenDroneMap est partag\u00e9 pour permettre la reproductibilit\u00e9 ou l'am\u00e9lioration des traitements propos\u00e9s:<br>\n[\n<br> {\n<br> 'name': 'orthophoto-resolution',\n<br> 'value': 1\n<br> },\n<br> {\n<br> 'name': 'auto-boundary',\n<br> 'value': true\n<br> },\n<br> {\n<br> 'name': 'dem-resolution',\n<br> 'value': '2.0'\n<br> },\n<br> {\n<br> 'name': 'dsm',\n<br> 'value': true\n<br> }\n<br> ]\n<br>\n<br><b>Le d\u00e9p\u00f4t est compos\u00e9 des \u00e9l\u00e9ments suivants:</b>\n<br> - 00_: Planche d'aper\u00e7u des images\n<br> - DCIM.zip: Images brutes issues du drone\n<br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la g\u00e9olocalisation des images accompagn\u00e9es de leurs miniatures dans la table d'attribut en base64\n<br> - METADATA.zip: M\u00e9tadonn\u00e9es au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br> - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ...\n<br>\n<br><b>Arborescence d'origine:</b>\n<br>\u2514\u2500 20220913_MYT-ngouja_UAV-02_3\n<br> \u2514\u2500 DCIM\n<br> \u2514\u2500 GPS\n<br> \u2514\u2500 METADATA\n<br> \u2514\u2500 tb\n<br> \u2514\u2500 PROCESSED_DATA\n<br>\n<br><b>Informations de survol:</b>\n<br>Diff\u00e9rentes hauteurs de vols, angles des transects et angles de cam\u00e9ra ont \u00e9t\u00e9 utilis\u00e9s dans le but d'obtenir des donn\u00e9es de qualit\u00e9 en fonction des conditions m\u00e9t\u00e9orologiques et marines.\n<br>- Camera model and parameters:\n<br> Make: Hasselblad\n<br> Model: L1D-20c\n<br> Width: 5472\n<br> Height: 3648\n<br> Focal: 28\n<br> WhiteBalance: Manual\n<br> ExposureMode: Auto Exposure\n<br> ColoSpace: sRGB\n<br> EV: -0.7\n<br> MeteringMode: CenterWeightedAverage\n<br> Camera Pitch: -75.00\n<br>\n<br>- Survey informations:\n<br> No Images: 396\n<br> Median height: 30 meters\n<br> Survey area: 1.54 hectares\n<br> Survey from: 2022:09:13 15:05:58 to: 2022:09:13 15:21:26\n<br>\"", "access_right": "open", "creators": [{"name": "sylvain.poulain@ird.fr", "affiliation": null}, {"name": "isabel.urbina-barreto@ird.fr", "affiliation": null}, {"name": "julien.barde@ird.fr", "affiliation": null}, {"name": "francois.guilhaumon@ird.fr", "affiliation": null}], "keywords": ["Future Maore Reef", "drone", "lagon", "corail", "reef"], "related_identifiers": [{"identifier": "urn:20220913_MYT-ngouja_UAV-02_3", "relation": "isIdenticalTo", "scheme": "urn"}], "version": "PROCESSED DATA", "language": "fra", "license": "cc-by-4.0", "imprint_publisher": "Zenodo", "notes": "<p></p><div class=\"ui message warning\">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br>", "upload_type": "dataset", "prereserve_doi": {"doi": "10.5281/zenodo.10085138", "recid": 10085138}}, "title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Ngouja, Mayotte - 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Version in draft status
Enrich upload with metadata
{'metadata': {'title': "Orthophoto & DEM (MNE) issues d'images drone, UAV, Ngouja, Mayotte - 20220913", 'publication_date': '2023-10-11', 'description': '"Ce jeu de données présente les résultats des traitements photogrammétriques d’images de drone DJI Mavic 2 Pro UAV acquises sur le site de Ngouja, Mayotte à la date suivante : 20220913.\n<br />\n<br />Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l’objectif de la mission vise à étudier l’implantation de récifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace aérien contrôlé, les vols ont été exécutés en regard de la réglmentation et en contact avec la tour de contrôle de l\'aéroport de Mayotte. \n<br />\n<br />\n<br /><br />Le paramétrage du logiciel OpenDroneMap est partagé pour permettre la reproductibilité ou l\'amélioration des traitements proposés:<br />\n[\n<br /> {\n<br /> \'name\': \'orthophoto-resolution\',\n<br /> \'value\': 1\n<br /> },\n<br /> {\n<br /> \'name\': \'auto-boundary\',\n<br /> \'value\': true\n<br /> },\n<br /> {\n<br /> \'name\': \'dem-resolution\',\n<br /> \'value\': \'2.0\'\n<br /> },\n<br /> {\n<br /> \'name\': \'dsm\',\n<br /> \'value\': true\n<br /> }\n<br /> ]\n<br />\n<br /><b>Le dépôt est composé des éléments suivants:</b>\n<br /> - 00_: Planche d\'aperçu des images\n<br /> - DCIM.zip: Images brutes issues du drone\n<br /> - GPS.zip: Geopackage contenant l’emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d’attribut en base64\n<br /> - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br /> - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ...\n<br />\n<br /><b>Arborescence d\'origine:</b>\n<br />└─ 20220913_MYT-ngouja_UAV-02_3\n<br /> └─ DCIM\n<br /> └─ GPS\n<br /> └─ METADATA\n<br /> └─ tb\n<br /> └─ PROCESSED_DATA\n<br />\n<br /><b>Informations de survol:</b>\n<br />Différentes hauteurs de vols, angles des transects et angles de caméra ont été utilisés dans le but d\'obtenir des données de qualité en fonction des conditions météorologiques et marines.\n<br />- Camera model and parameters:\n<br /> Make: Hasselblad\n<br /> Model: L1D-20c\n<br /> Width: 5472\n<br /> Height: 3648\n<br /> Focal: 28\n<br /> WhiteBalance: Manual\n<br /> ExposureMode: Auto Exposure\n<br /> ColoSpace: sRGB\n<br /> EV: -0.7\n<br /> MeteringMode: CenterWeightedAverage\n<br /> Camera Pitch: -75.00\n<br />\n<br />- Survey informations:\n<br /> No Images: 396\n<br /> Median height: 30 meters\n<br /> Survey area: 1.54 hectares\n<br /> Survey from: 2022:09:13 15:05:58 to: 2022:09:13 15:21:26\n<br />"', 'access_right': 'open', 'notes': '<p></p><div class="ui message warning">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br /><img src="https://github.com/IRDG2OI/geoflow-g2oi/raw/main/img/logos_partenaires.png?raw=True">', 'creators': [{'name': 'sylvain.poulain@ird.fr'}, {'name': 'isabel.urbina-barreto@ird.fr'}, {'name': 'julien.barde@ird.fr'}, {'name': 'francois.guilhaumon@ird.fr'}], 'keywords': ['Future Maore Reef', 'drone', 'lagon', 'corail', 'reef'], 'related_identifiers': [{'identifier': 'urn:20220913_MYT-ngouja_UAV-02_3', 'relation': 'isIdenticalTo', 'scheme': 'urn'}], 'version': 'PROCESSED DATA', 'language': 'fra', 'license': 'cc-by-4.0', 'imprint_publisher': 'Zenodo', 'upload_type': 'dataset'}}
upload data
Trying upload number: 1
/home/sylvain/DATA/MayotteFMR/20220913_MYT-ngouja_UAV-02_3/000_photogrammetry_report.pdf
md5: aad5bc7608407fdd6ce23d4632a4ea9b
/home/sylvain/DATA/MayotteFMR/20220913_MYT-ngouja_UAV-02_3/PROCESSED_DATA.zip
md5: 41012df987c41b8335f024df95648284
Publish record
{"created": "2023-11-08T18:58:20.196228+00:00", "modified": "2023-11-08T18:58:20.647213+00:00", "id": 10085138, "conceptrecid": "8436285", "doi": "10.5281/zenodo.10085138", "conceptdoi": "10.5281/zenodo.8436285", "doi_url": "https://doi.org/10.5281/zenodo.10085138", "metadata": {"title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Ngouja, Mayotte - 20220913", "doi": "10.5281/zenodo.10085138", "publication_date": "2023-10-11", "description": "\"Ce jeu de donn\u00e9es pr\u00e9sente les r\u00e9sultats des traitements photogramm\u00e9triques d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Ngouja, Mayotte \u00e0 la date suivante : 20220913.\n<br>\n<br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise \u00e0 \u00e9tudier l'implantation de r\u00e9cifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace a\u00e9rien contr\u00f4l\u00e9, les vols ont \u00e9t\u00e9 ex\u00e9cut\u00e9s en regard de la r\u00e9glmentation et en contact avec la tour de contr\u00f4le de l'a\u00e9roport de Mayotte. \n<br>\n<br>\n<br><br>Le param\u00e9trage du logiciel OpenDroneMap est partag\u00e9 pour permettre la reproductibilit\u00e9 ou l'am\u00e9lioration des traitements propos\u00e9s:<br>\n[\n<br> {\n<br> 'name': 'orthophoto-resolution',\n<br> 'value': 1\n<br> },\n<br> {\n<br> 'name': 'auto-boundary',\n<br> 'value': true\n<br> },\n<br> {\n<br> 'name': 'dem-resolution',\n<br> 'value': '2.0'\n<br> },\n<br> {\n<br> 'name': 'dsm',\n<br> 'value': true\n<br> }\n<br> ]\n<br>\n<br><b>Le d\u00e9p\u00f4t est compos\u00e9 des \u00e9l\u00e9ments suivants:</b>\n<br> - 00_: Planche d'aper\u00e7u des images\n<br> - DCIM.zip: Images brutes issues du drone\n<br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la g\u00e9olocalisation des images accompagn\u00e9es de leurs miniatures dans la table d'attribut en base64\n<br> - 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Dataset: 15 / 17
id:20220912_MYT-ile-blanche_UAV-02_1_
doi:10.5281/zenodo.10085139
['000_photogrammetry_report.pdf', 'PROCESSED_DATA.zip']
DOI already present: 10085139
{"created": "2023-11-08T18:51:01.609621+00:00", "modified": "2023-11-08T18:55:50.890281+00:00", "id": 10085139, "conceptrecid": "8436300", "conceptdoi": "10.5281/zenodo.8436300", "metadata": {"title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Ile blanche, Mayotte - 20220912", "publication_date": "2023-10-11", "description": "\"Ce jeu de donn\u00e9es pr\u00e9sente les r\u00e9sultats des traitements photogramm\u00e9triques d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Ile blanche, Mayotte \u00e0 la date suivante : 20220912.\n<br>\n<br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise \u00e0 \u00e9tudier l'implantation de r\u00e9cifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace a\u00e9rien contr\u00f4l\u00e9, les vols ont \u00e9t\u00e9 ex\u00e9cut\u00e9s en regard de la r\u00e9glmentation et en contact avec la tour de contr\u00f4le de l'a\u00e9roport de Mayotte. \n<br>\n<br>\n<br><br>Le param\u00e9trage du logiciel OpenDroneMap est partag\u00e9 pour permettre la reproductibilit\u00e9 ou l'am\u00e9lioration des traitements propos\u00e9s:<br>\n[\n<br> {\n<br> 'name': 'orthophoto-resolution',\n<br> 'value': 1\n<br> },\n<br> {\n<br> 'name': 'auto-boundary',\n<br> 'value': true\n<br> },\n<br> {\n<br> 'name': 'dem-resolution',\n<br> 'value': '2.0'\n<br> },\n<br> {\n<br> 'name': 'dsm',\n<br> 'value': true\n<br> }\n<br> ]\n<br>\n<br><b>Le d\u00e9p\u00f4t est compos\u00e9 des \u00e9l\u00e9ments suivants:</b>\n<br> - 00_: Planche d'aper\u00e7u des images\n<br> - DCIM.zip: Images brutes issues du drone\n<br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la g\u00e9olocalisation des images accompagn\u00e9es de leurs miniatures dans la table d'attribut en base64\n<br> - METADATA.zip: M\u00e9tadonn\u00e9es au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br> - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ...\n<br>\n<br><b>Arborescence d'origine:</b>\n<br>\u2514\u2500 20220912_MYT-ile-blanche_UAV-02_1\n<br> \u2514\u2500 DCIM\n<br> \u2514\u2500 GPS\n<br> \u2514\u2500 METADATA\n<br> \u2514\u2500 tb\n<br> \u2514\u2500 PROCESSED_DATA\n<br>\n<br><b>Informations de survol:</b>\n<br>Diff\u00e9rentes hauteurs de vols, angles des transects et angles de cam\u00e9ra ont \u00e9t\u00e9 utilis\u00e9s dans le but d'obtenir des donn\u00e9es de qualit\u00e9 en fonction des conditions m\u00e9t\u00e9orologiques et marines.\n<br>- Camera model and parameters:\n<br> Make: Hasselblad\n<br> Model: L1D-20c\n<br> Width: 5472\n<br> Height: 3648\n<br> Focal: 28\n<br> WhiteBalance: Manual\n<br> ExposureMode: Auto Exposure\n<br> ColoSpace: sRGB\n<br> EV: -0.7\n<br> MeteringMode: CenterWeightedAverage\n<br> Camera Pitch: -75.00\n<br>\n<br>- Survey informations:\n<br> No Images: 400\n<br> Median height: 60 meters\n<br> Survey area: 10.23 hectares\n<br> Survey from: 2022:09:12 08:32:09 to: 2022:09:12 08:51:56\n<br>\"", "access_right": "open", "creators": [{"name": "sylvain.poulain@ird.fr", "affiliation": null}, {"name": "isabel.urbina-barreto@ird.fr", "affiliation": null}, {"name": "julien.barde@ird.fr", "affiliation": null}, {"name": "francois.guilhaumon@ird.fr", "affiliation": null}], "keywords": ["Future Maore Reef", "drone", "lagon", "corail", "reef"], "related_identifiers": [{"identifier": "urn:20220912_MYT-ile-blanche_UAV-02_1", "relation": "isIdenticalTo", "scheme": "urn"}], "version": "PROCESSED DATA", "language": "fra", "license": "cc-by-4.0", "imprint_publisher": "Zenodo", "notes": "<p></p><div class=\"ui message warning\">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br>", "upload_type": "dataset", "prereserve_doi": {"doi": "10.5281/zenodo.10085139", "recid": 10085139}}, "title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Ile blanche, Mayotte - 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Version in draft status
Enrich upload with metadata
{'metadata': {'title': "Orthophoto & DEM (MNE) issues d'images drone, UAV, Ile blanche, Mayotte - 20220912", 'publication_date': '2023-10-11', 'description': '"Ce jeu de données présente les résultats des traitements photogrammétriques d’images de drone DJI Mavic 2 Pro UAV acquises sur le site de Ile blanche, Mayotte à la date suivante : 20220912.\n<br />\n<br />Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l’objectif de la mission vise à étudier l’implantation de récifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace aérien contrôlé, les vols ont été exécutés en regard de la réglmentation et en contact avec la tour de contrôle de l\'aéroport de Mayotte. \n<br />\n<br />\n<br /><br />Le paramétrage du logiciel OpenDroneMap est partagé pour permettre la reproductibilité ou l\'amélioration des traitements proposés:<br />\n[\n<br /> {\n<br /> \'name\': \'orthophoto-resolution\',\n<br /> \'value\': 1\n<br /> },\n<br /> {\n<br /> \'name\': \'auto-boundary\',\n<br /> \'value\': true\n<br /> },\n<br /> {\n<br /> \'name\': \'dem-resolution\',\n<br /> \'value\': \'2.0\'\n<br /> },\n<br /> {\n<br /> \'name\': \'dsm\',\n<br /> \'value\': true\n<br /> }\n<br /> ]\n<br />\n<br /><b>Le dépôt est composé des éléments suivants:</b>\n<br /> - 00_: Planche d\'aperçu des images\n<br /> - DCIM.zip: Images brutes issues du drone\n<br /> - GPS.zip: Geopackage contenant l’emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d’attribut en base64\n<br /> - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br /> - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ...\n<br />\n<br /><b>Arborescence d\'origine:</b>\n<br />└─ 20220912_MYT-ile-blanche_UAV-02_1\n<br /> └─ DCIM\n<br /> └─ GPS\n<br /> └─ METADATA\n<br /> └─ tb\n<br /> └─ PROCESSED_DATA\n<br />\n<br /><b>Informations de survol:</b>\n<br />Différentes hauteurs de vols, angles des transects et angles de caméra ont été utilisés dans le but d\'obtenir des données de qualité en fonction des conditions météorologiques et marines.\n<br />- Camera model and parameters:\n<br /> Make: Hasselblad\n<br /> Model: L1D-20c\n<br /> Width: 5472\n<br /> Height: 3648\n<br /> Focal: 28\n<br /> WhiteBalance: Manual\n<br /> ExposureMode: Auto Exposure\n<br /> ColoSpace: sRGB\n<br /> EV: -0.7\n<br /> MeteringMode: CenterWeightedAverage\n<br /> Camera Pitch: -75.00\n<br />\n<br />- Survey informations:\n<br /> No Images: 400\n<br /> Median height: 60 meters\n<br /> Survey area: 10.23 hectares\n<br /> Survey from: 2022:09:12 08:32:09 to: 2022:09:12 08:51:56\n<br />"', 'access_right': 'open', 'notes': '<p></p><div class="ui message warning">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br /><img src="https://github.com/IRDG2OI/geoflow-g2oi/raw/main/img/logos_partenaires.png?raw=True">', 'creators': [{'name': 'sylvain.poulain@ird.fr'}, {'name': 'isabel.urbina-barreto@ird.fr'}, {'name': 'julien.barde@ird.fr'}, {'name': 'francois.guilhaumon@ird.fr'}], 'keywords': ['Future Maore Reef', 'drone', 'lagon', 'corail', 'reef'], 'related_identifiers': [{'identifier': 'urn:20220912_MYT-ile-blanche_UAV-02_1', 'relation': 'isIdenticalTo', 'scheme': 'urn'}], 'version': 'PROCESSED DATA', 'language': 'fra', 'license': 'cc-by-4.0', 'imprint_publisher': 'Zenodo', 'upload_type': 'dataset'}}
upload data
Trying upload number: 1
/home/sylvain/DATA/MayotteFMR/20220912_MYT-ile-blanche_UAV-02_1/000_photogrammetry_report.pdf
md5: 0bc3f76e90ca54f20b16b6b9433f6bb3
/home/sylvain/DATA/MayotteFMR/20220912_MYT-ile-blanche_UAV-02_1/PROCESSED_DATA.zip
md5: b0859f684c9ed0ba6b812036ebbe03fe
Publish record
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Dataset: 16 / 17
id:20220911_MYT-jollyroger_UAV-02_2_
doi:10.5281/zenodo.10085143
['000_photogrammetry_report.pdf', 'PROCESSED_DATA.zip']
DOI already present: 10085143
{"created": "2023-11-08T18:51:57.516654+00:00", "modified": "2023-11-08T18:55:59.821942+00:00", "id": 10085143, "conceptrecid": "8436304", "conceptdoi": "10.5281/zenodo.8436304", "metadata": {"title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Jollyroger, Mayotte - 20220911", "publication_date": "2023-10-11", "description": "\"Ce jeu de donn\u00e9es pr\u00e9sente les r\u00e9sultats des traitements photogramm\u00e9triques d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Jollyroger, Mayotte \u00e0 la date suivante : 20220911.\n<br>\n<br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise \u00e0 \u00e9tudier l'implantation de r\u00e9cifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace a\u00e9rien contr\u00f4l\u00e9, les vols ont \u00e9t\u00e9 ex\u00e9cut\u00e9s en regard de la r\u00e9glmentation et en contact avec la tour de contr\u00f4le de l'a\u00e9roport de Mayotte. \n<br>\n<br>\n<br><br>Le param\u00e9trage du logiciel OpenDroneMap est partag\u00e9 pour permettre la reproductibilit\u00e9 ou l'am\u00e9lioration des traitements propos\u00e9s:<br>\n[\n<br> {\n<br> 'name': 'orthophoto-resolution',\n<br> 'value': 1\n<br> },\n<br> {\n<br> 'name': 'auto-boundary',\n<br> 'value': true\n<br> },\n<br> {\n<br> 'name': 'dem-resolution',\n<br> 'value': '2.0'\n<br> },\n<br> {\n<br> 'name': 'dsm',\n<br> 'value': true\n<br> }\n<br> ]\n<br>\n<br><b>Le d\u00e9p\u00f4t est compos\u00e9 des \u00e9l\u00e9ments suivants:</b>\n<br> - 00_: Planche d'aper\u00e7u des images\n<br> - DCIM.zip: Images brutes issues du drone\n<br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la g\u00e9olocalisation des images accompagn\u00e9es de leurs miniatures dans la table d'attribut en base64\n<br> - METADATA.zip: M\u00e9tadonn\u00e9es au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br> - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ...\n<br>\n<br><b>Arborescence d'origine:</b>\n<br>\u2514\u2500 20220911_MYT-jollyroger_UAV-02_2\n<br> \u2514\u2500 DCIM\n<br> \u2514\u2500 GPS\n<br> \u2514\u2500 METADATA\n<br> \u2514\u2500 tb\n<br> \u2514\u2500 PROCESSED_DATA\n<br>\n<br><b>Informations de survol:</b>\n<br>Diff\u00e9rentes hauteurs de vols, angles des transects et angles de cam\u00e9ra ont \u00e9t\u00e9 utilis\u00e9s dans le but d'obtenir des donn\u00e9es de qualit\u00e9 en fonction des conditions m\u00e9t\u00e9orologiques et marines.\n<br>- Camera model and parameters:\n<br> Make: Hasselblad\n<br> Model: L1D-20c\n<br> Width: 5472\n<br> Height: 3648\n<br> Focal: 28\n<br> WhiteBalance: Manual\n<br> ExposureMode: Auto Exposure\n<br> ColoSpace: sRGB\n<br> EV: -0.7\n<br> MeteringMode: CenterWeightedAverage\n<br> Camera Pitch: -75.00\n<br>\n<br>- Survey informations:\n<br> No Images: 421\n<br> Median height: 70 meters\n<br> Survey area: 14.57 hectares\n<br> Survey from: 2022:09:11 09:10:56 to: 2022:09:11 09:32:31\n<br>\"", "access_right": "open", "creators": [{"name": "sylvain.poulain@ird.fr", "affiliation": null}, {"name": "isabel.urbina-barreto@ird.fr", "affiliation": null}, {"name": "julien.barde@ird.fr", "affiliation": null}, {"name": "francois.guilhaumon@ird.fr", "affiliation": null}], "keywords": ["Future Maore Reef", "drone", "lagon", "corail", "reef"], "related_identifiers": [{"identifier": "urn:20220911_MYT-jollyroger_UAV-02_2", "relation": "isIdenticalTo", "scheme": "urn"}], "version": "PROCESSED DATA", "language": "fra", "license": "cc-by-4.0", "imprint_publisher": "Zenodo", "notes": "<p></p><div class=\"ui message warning\">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br>", "upload_type": "dataset", "prereserve_doi": {"doi": "10.5281/zenodo.10085143", "recid": 10085143}}, "title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Jollyroger, Mayotte - 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Version in draft status
Enrich upload with metadata
{'metadata': {'title': "Orthophoto & DEM (MNE) issues d'images drone, UAV, Jollyroger, Mayotte - 20220911", 'publication_date': '2023-10-11', 'description': '"Ce jeu de données présente les résultats des traitements photogrammétriques d’images de drone DJI Mavic 2 Pro UAV acquises sur le site de Jollyroger, Mayotte à la date suivante : 20220911.\n<br />\n<br />Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l’objectif de la mission vise à étudier l’implantation de récifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace aérien contrôlé, les vols ont été exécutés en regard de la réglmentation et en contact avec la tour de contrôle de l\'aéroport de Mayotte. \n<br />\n<br />\n<br /><br />Le paramétrage du logiciel OpenDroneMap est partagé pour permettre la reproductibilité ou l\'amélioration des traitements proposés:<br />\n[\n<br /> {\n<br /> \'name\': \'orthophoto-resolution\',\n<br /> \'value\': 1\n<br /> },\n<br /> {\n<br /> \'name\': \'auto-boundary\',\n<br /> \'value\': true\n<br /> },\n<br /> {\n<br /> \'name\': \'dem-resolution\',\n<br /> \'value\': \'2.0\'\n<br /> },\n<br /> {\n<br /> \'name\': \'dsm\',\n<br /> \'value\': true\n<br /> }\n<br /> ]\n<br />\n<br /><b>Le dépôt est composé des éléments suivants:</b>\n<br /> - 00_: Planche d\'aperçu des images\n<br /> - DCIM.zip: Images brutes issues du drone\n<br /> - GPS.zip: Geopackage contenant l’emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d’attribut en base64\n<br /> - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br /> - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ...\n<br />\n<br /><b>Arborescence d\'origine:</b>\n<br />└─ 20220911_MYT-jollyroger_UAV-02_2\n<br /> └─ DCIM\n<br /> └─ GPS\n<br /> └─ METADATA\n<br /> └─ tb\n<br /> └─ PROCESSED_DATA\n<br />\n<br /><b>Informations de survol:</b>\n<br />Différentes hauteurs de vols, angles des transects et angles de caméra ont été utilisés dans le but d\'obtenir des données de qualité en fonction des conditions météorologiques et marines.\n<br />- Camera model and parameters:\n<br /> Make: Hasselblad\n<br /> Model: L1D-20c\n<br /> Width: 5472\n<br /> Height: 3648\n<br /> Focal: 28\n<br /> WhiteBalance: Manual\n<br /> ExposureMode: Auto Exposure\n<br /> ColoSpace: sRGB\n<br /> EV: -0.7\n<br /> MeteringMode: CenterWeightedAverage\n<br /> Camera Pitch: -75.00\n<br />\n<br />- Survey informations:\n<br /> No Images: 421\n<br /> Median height: 70 meters\n<br /> Survey area: 14.57 hectares\n<br /> Survey from: 2022:09:11 09:10:56 to: 2022:09:11 09:32:31\n<br />"', 'access_right': 'open', 'notes': '<p></p><div class="ui message warning">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br /><img src="https://github.com/IRDG2OI/geoflow-g2oi/raw/main/img/logos_partenaires.png?raw=True">', 'creators': [{'name': 'sylvain.poulain@ird.fr'}, {'name': 'isabel.urbina-barreto@ird.fr'}, {'name': 'julien.barde@ird.fr'}, {'name': 'francois.guilhaumon@ird.fr'}], 'keywords': ['Future Maore Reef', 'drone', 'lagon', 'corail', 'reef'], 'related_identifiers': [{'identifier': 'urn:20220911_MYT-jollyroger_UAV-02_2', 'relation': 'isIdenticalTo', 'scheme': 'urn'}], 'version': 'PROCESSED DATA', 'language': 'fra', 'license': 'cc-by-4.0', 'imprint_publisher': 'Zenodo', 'upload_type': 'dataset'}}
upload data
Trying upload number: 1
/home/sylvain/DATA/MayotteFMR/20220911_MYT-jollyroger_UAV-02_2/000_photogrammetry_report.pdf
md5: 667985af7c7674d0e9940d6b7acb2c02
/home/sylvain/DATA/MayotteFMR/20220911_MYT-jollyroger_UAV-02_2/PROCESSED_DATA.zip
md5: a12ac5a5ce6aca7fbae6ff3b21d1ea5c
Publish record
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Dataset: 17 / 17
id:20220911_MYT-musicalplage_UAV-02_3_
doi:10.5281/zenodo.10085148
['000_photogrammetry_report.pdf', 'PROCESSED_DATA.zip']
DOI already present: 10085148
{"created": "2023-11-08T18:52:41.360045+00:00", "modified": "2023-11-08T18:56:05.814810+00:00", "id": 10085148, "conceptrecid": "8436310", "conceptdoi": "10.5281/zenodo.8436310", "metadata": {"title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Musicalplage, Mayotte - 20220911", "publication_date": "2023-10-11", "description": "\"Ce jeu de donn\u00e9es pr\u00e9sente les r\u00e9sultats des traitements photogramm\u00e9triques d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Musicalplage, Mayotte \u00e0 la date suivante : 20220911.\n<br>\n<br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise \u00e0 \u00e9tudier l'implantation de r\u00e9cifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace a\u00e9rien contr\u00f4l\u00e9, les vols ont \u00e9t\u00e9 ex\u00e9cut\u00e9s en regard de la r\u00e9glmentation et en contact avec la tour de contr\u00f4le de l'a\u00e9roport de Mayotte. \n<br>\n<br>\n<br><br>Le param\u00e9trage du logiciel OpenDroneMap est partag\u00e9 pour permettre la reproductibilit\u00e9 ou l'am\u00e9lioration des traitements propos\u00e9s:<br>\n[\n<br> {\n<br> 'name': 'orthophoto-resolution',\n<br> 'value': 1\n<br> },\n<br> {\n<br> 'name': 'auto-boundary',\n<br> 'value': true\n<br> },\n<br> {\n<br> 'name': 'dem-resolution',\n<br> 'value': '2.0'\n<br> },\n<br> {\n<br> 'name': 'dsm',\n<br> 'value': true\n<br> }\n<br> ]\n<br>\n<br><b>Le d\u00e9p\u00f4t est compos\u00e9 des \u00e9l\u00e9ments suivants:</b>\n<br> - 00_: Planche d'aper\u00e7u des images\n<br> - DCIM.zip: Images brutes issues du drone\n<br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la g\u00e9olocalisation des images accompagn\u00e9es de leurs miniatures dans la table d'attribut en base64\n<br> - METADATA.zip: M\u00e9tadonn\u00e9es au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br> - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ...\n<br>\n<br><b>Arborescence d'origine:</b>\n<br>\u2514\u2500 20220911_MYT-musicalplage_UAV-02_3\n<br> \u2514\u2500 DCIM\n<br> \u2514\u2500 GPS\n<br> \u2514\u2500 METADATA\n<br> \u2514\u2500 tb\n<br> \u2514\u2500 PROCESSED_DATA\n<br>\n<br><b>Informations de survol:</b>\n<br>Diff\u00e9rentes hauteurs de vols, angles des transects et angles de cam\u00e9ra ont \u00e9t\u00e9 utilis\u00e9s dans le but d'obtenir des donn\u00e9es de qualit\u00e9 en fonction des conditions m\u00e9t\u00e9orologiques et marines.\n<br>- Camera model and parameters:\n<br> Make: Hasselblad\n<br> Model: L1D-20c\n<br> Width: 5472\n<br> Height: 3648\n<br> Focal: 28\n<br> WhiteBalance: Manual\n<br> ExposureMode: Auto Exposure\n<br> ColoSpace: sRGB\n<br> EV: -0.7\n<br> MeteringMode: Average\n<br> Camera Pitch: -90.00\n<br>\n<br>- Survey informations:\n<br> No Images: 400\n<br> Median height: 70 meters\n<br> Survey area: 10.03 hectares\n<br> Survey from: 2022:09:11 09:51:50 to: 2022:09:11 10:09:04\n<br>\"", "access_right": "open", "creators": [{"name": "sylvain.poulain@ird.fr", "affiliation": null}, {"name": "isabel.urbina-barreto@ird.fr", "affiliation": null}, {"name": "julien.barde@ird.fr", "affiliation": null}, {"name": "francois.guilhaumon@ird.fr", "affiliation": null}], "keywords": ["Future Maore Reef", "drone", "lagon", "corail", "reef"], "related_identifiers": [{"identifier": "urn:20220911_MYT-musicalplage_UAV-02_3", "relation": "isIdenticalTo", "scheme": "urn"}], "version": "PROCESSED DATA", "language": "fra", "license": "cc-by-4.0", "imprint_publisher": "Zenodo", "notes": "<p></p><div class=\"ui message warning\">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br>", "upload_type": "dataset", "prereserve_doi": {"doi": "10.5281/zenodo.10085148", "recid": 10085148}}, "title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Musicalplage, Mayotte - 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Version in draft status
Enrich upload with metadata
{'metadata': {'title': "Orthophoto & DEM (MNE) issues d'images drone, UAV, Musicalplage, Mayotte - 20220911", 'publication_date': '2023-10-11', 'description': '"Ce jeu de données présente les résultats des traitements photogrammétriques d’images de drone DJI Mavic 2 Pro UAV acquises sur le site de Musicalplage, Mayotte à la date suivante : 20220911.\n<br />\n<br />Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l’objectif de la mission vise à étudier l’implantation de récifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace aérien contrôlé, les vols ont été exécutés en regard de la réglmentation et en contact avec la tour de contrôle de l\'aéroport de Mayotte. \n<br />\n<br />\n<br /><br />Le paramétrage du logiciel OpenDroneMap est partagé pour permettre la reproductibilité ou l\'amélioration des traitements proposés:<br />\n[\n<br /> {\n<br /> \'name\': \'orthophoto-resolution\',\n<br /> \'value\': 1\n<br /> },\n<br /> {\n<br /> \'name\': \'auto-boundary\',\n<br /> \'value\': true\n<br /> },\n<br /> {\n<br /> \'name\': \'dem-resolution\',\n<br /> \'value\': \'2.0\'\n<br /> },\n<br /> {\n<br /> \'name\': \'dsm\',\n<br /> \'value\': true\n<br /> }\n<br /> ]\n<br />\n<br /><b>Le dépôt est composé des éléments suivants:</b>\n<br /> - 00_: Planche d\'aperçu des images\n<br /> - DCIM.zip: Images brutes issues du drone\n<br /> - GPS.zip: Geopackage contenant l’emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d’attribut en base64\n<br /> - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br /> - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ...\n<br />\n<br /><b>Arborescence d\'origine:</b>\n<br />└─ 20220911_MYT-musicalplage_UAV-02_3\n<br /> └─ DCIM\n<br /> └─ GPS\n<br /> └─ METADATA\n<br /> └─ tb\n<br /> └─ PROCESSED_DATA\n<br />\n<br /><b>Informations de survol:</b>\n<br />Différentes hauteurs de vols, angles des transects et angles de caméra ont été utilisés dans le but d\'obtenir des données de qualité en fonction des conditions météorologiques et marines.\n<br />- Camera model and parameters:\n<br /> Make: Hasselblad\n<br /> Model: L1D-20c\n<br /> Width: 5472\n<br /> Height: 3648\n<br /> Focal: 28\n<br /> WhiteBalance: Manual\n<br /> ExposureMode: Auto Exposure\n<br /> ColoSpace: sRGB\n<br /> EV: -0.7\n<br /> MeteringMode: Average\n<br /> Camera Pitch: -90.00\n<br />\n<br />- Survey informations:\n<br /> No Images: 400\n<br /> Median height: 70 meters\n<br /> Survey area: 10.03 hectares\n<br /> Survey from: 2022:09:11 09:51:50 to: 2022:09:11 10:09:04\n<br />"', 'access_right': 'open', 'notes': '<p></p><div class="ui message warning">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br /><img src="https://github.com/IRDG2OI/geoflow-g2oi/raw/main/img/logos_partenaires.png?raw=True">', 'creators': [{'name': 'sylvain.poulain@ird.fr'}, {'name': 'isabel.urbina-barreto@ird.fr'}, {'name': 'julien.barde@ird.fr'}, {'name': 'francois.guilhaumon@ird.fr'}], 'keywords': ['Future Maore Reef', 'drone', 'lagon', 'corail', 'reef'], 'related_identifiers': [{'identifier': 'urn:20220911_MYT-musicalplage_UAV-02_3', 'relation': 'isIdenticalTo', 'scheme': 'urn'}], 'version': 'PROCESSED DATA', 'language': 'fra', 'license': 'cc-by-4.0', 'imprint_publisher': 'Zenodo', 'upload_type': 'dataset'}}
upload data
Trying upload number: 1
/home/sylvain/DATA/MayotteFMR/20220911_MYT-musicalplage_UAV-02_3/000_photogrammetry_report.pdf
md5: 2e88c4f6087269f954ba929f590188fc
/home/sylvain/DATA/MayotteFMR/20220911_MYT-musicalplage_UAV-02_3/PROCESSED_DATA.zip
md5: fe218f9e62b0e9f009ffe50cb424d915
Publish record
{"created": "2023-11-08T18:58:45.869847+00:00", "modified": "2023-11-08T18:58:46.099785+00:00", "id": 10085148, "conceptrecid": "8436310", "doi": "10.5281/zenodo.10085148", "conceptdoi": "10.5281/zenodo.8436310", "doi_url": "https://doi.org/10.5281/zenodo.10085148", "metadata": {"title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Musicalplage, Mayotte - 20220911", "doi": "10.5281/zenodo.10085148", "publication_date": "2023-10-11", "description": "\"Ce jeu de donn\u00e9es pr\u00e9sente les r\u00e9sultats des traitements photogramm\u00e9triques d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Musicalplage, Mayotte \u00e0 la date suivante : 20220911.\n<br>\n<br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise \u00e0 \u00e9tudier l'implantation de r\u00e9cifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace a\u00e9rien contr\u00f4l\u00e9, les vols ont \u00e9t\u00e9 ex\u00e9cut\u00e9s en regard de la r\u00e9glmentation et en contact avec la tour de contr\u00f4le de l'a\u00e9roport de Mayotte. \n<br>\n<br>\n<br><br>Le param\u00e9trage du logiciel OpenDroneMap est partag\u00e9 pour permettre la reproductibilit\u00e9 ou l'am\u00e9lioration des traitements propos\u00e9s:<br>\n[\n<br> {\n<br> 'name': 'orthophoto-resolution',\n<br> 'value': 1\n<br> },\n<br> {\n<br> 'name': 'auto-boundary',\n<br> 'value': true\n<br> },\n<br> {\n<br> 'name': 'dem-resolution',\n<br> 'value': '2.0'\n<br> },\n<br> {\n<br> 'name': 'dsm',\n<br> 'value': true\n<br> }\n<br> ]\n<br>\n<br><b>Le d\u00e9p\u00f4t est compos\u00e9 des \u00e9l\u00e9ments suivants:</b>\n<br> - 00_: Planche d'aper\u00e7u des images\n<br> - DCIM.zip: Images brutes issues du drone\n<br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la g\u00e9olocalisation des images accompagn\u00e9es de leurs miniatures dans la table d'attribut en base64\n<br> - METADATA.zip: M\u00e9tadonn\u00e9es au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br> - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ...\n<br>\n<br><b>Arborescence d'origine:</b>\n<br>\u2514\u2500 20220911_MYT-musicalplage_UAV-02_3\n<br> \u2514\u2500 DCIM\n<br> \u2514\u2500 GPS\n<br> \u2514\u2500 METADATA\n<br> \u2514\u2500 tb\n<br> \u2514\u2500 PROCESSED_DATA\n<br>\n<br><b>Informations de survol:</b>\n<br>Diff\u00e9rentes hauteurs de vols, angles des transects et angles de cam\u00e9ra ont \u00e9t\u00e9 utilis\u00e9s dans le but d'obtenir des donn\u00e9es de qualit\u00e9 en fonction des conditions m\u00e9t\u00e9orologiques et marines.\n<br>- Camera model and parameters:\n<br> Make: Hasselblad\n<br> Model: L1D-20c\n<br> Width: 5472\n<br> Height: 3648\n<br> Focal: 28\n<br> WhiteBalance: Manual\n<br> ExposureMode: Auto Exposure\n<br> ColoSpace: sRGB\n<br> EV: -0.7\n<br> MeteringMode: Average\n<br> Camera Pitch: -90.00\n<br>\n<br>- Survey informations:\n<br> No Images: 400\n<br> Median height: 70 meters\n<br> Survey area: 10.03 hectares\n<br> Survey from: 2022:09:11 09:51:50 to: 2022:09:11 10:09:04\n<br>\"", "access_right": "open", "creators": [{"name": "sylvain.poulain@ird.fr", "affiliation": null}, {"name": "isabel.urbina-barreto@ird.fr", "affiliation": null}, {"name": "julien.barde@ird.fr", "affiliation": null}, {"name": "francois.guilhaumon@ird.fr", "affiliation": null}], "keywords": ["Future Maore Reef", "drone", "lagon", "corail", "reef"], "related_identifiers": [{"identifier": "urn:20220911_MYT-musicalplage_UAV-02_3", "relation": "isIdenticalTo", "scheme": "urn"}], "version": "PROCESSED DATA", "language": "fra", "license": "cc-by-4.0", "imprint_publisher": "Zenodo", "notes": "<p></p><div class=\"ui message warning\">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br>", "upload_type": "dataset", "prereserve_doi": {"doi": "10.5281/zenodo.10085148", "recid": 10085148}}, "title": "Orthophoto & DEM (MNE) issues d'images drone, UAV, Musicalplage, Mayotte - 20220911", "links": {"self": "https://zenodo.org/api/records/10085148", "html": "https://zenodo.org/records/10085148", "doi": "https://doi.org/10.5281/zenodo.10085148", "parent_doi": "https://zenodo.org/doi/10.5281/zenodo.8436310", "badge": "https://zenodo.org/badge/doi/10.5281%2Fzenodo.10085148.svg", "conceptbadge": "https://zenodo.org/badge/doi/10.5281%2Fzenodo.8436310.svg", "files": "https://zenodo.org/api/records/10085148/files", "bucket": "https://zenodo.org/api/files/b9f25021-c213-433c-99af-970ec16086ef", "thumb250": "https://zenodo.org/record/10085148/thumb250", "thumbs": {"10": "https://zenodo.org/record/10085148/thumb10", "50": "https://zenodo.org/record/10085148/thumb50", "100": "https://zenodo.org/record/10085148/thumb100", "250": "https://zenodo.org/record/10085148/thumb250", "750": "https://zenodo.org/record/10085148/thumb750", "1200": "https://zenodo.org/record/10085148/thumb1200"}, "latest_draft": "https://zenodo.org/api/deposit/depositions/10085148", "latest_draft_html": "https://zenodo.org/deposit/10085148", "publish": "https://zenodo.org/api/deposit/depositions/10085148/actions/publish", "edit": "https://zenodo.org/api/deposit/depositions/10085148/actions/edit", "discard": "https://zenodo.org/api/deposit/depositions/10085148/actions/discard", "newversion": "https://zenodo.org/api/deposit/depositions/10085148/actions/newversion", "registerconceptdoi": "https://zenodo.org/api/deposit/depositions/10085148/actions/registerconceptdoi", "record": "https://zenodo.org/api/records/10085148", "record_html": "https://zenodo.org/record/10085148", "latest": "https://zenodo.org/api/records/10085148/versions/latest", "latest_html": "https://zenodo.org/record/10085148/versions/latest"}, "record_id": 10085148, "owner": 601426, "files": [{"id": "de3a4857-1a43-46d0-8259-83ef1f32689c", "filename": "PROCESSED_DATA.zip", "filesize": 2617333043, "checksum": "fe218f9e62b0e9f009ffe50cb424d915", "links": {"self": "https://zenodo.org/api/records/10085148/files/de3a4857-1a43-46d0-8259-83ef1f32689c", "download": "https://zenodo.org/api/records/10085148/draft/files/PROCESSED_DATA.zip/content"}}, {"id": "ad32ef37-5790-4691-a8f3-cdbc69831edb", "filename": "000_photogrammetry_report.pdf", "filesize": 10218270, "checksum": "2e88c4f6087269f954ba929f590188fc", "links": {"self": "https://zenodo.org/api/records/10085148/files/ad32ef37-5790-4691-a8f3-cdbc69831edb", "download": "https://zenodo.org/api/records/10085148/draft/files/000_photogrammetry_report.pdf/content"}}, {"id": "110e38a5-9398-49e1-8e16-55636facb5fd", "filename": "00_sample_rawdata_overview.png", "filesize": 582733, "checksum": "c873e096963e83e8d7c16f49ddae6807", "links": {"self": "https://zenodo.org/api/records/10085148/files/110e38a5-9398-49e1-8e16-55636facb5fd", "download": "https://zenodo.org/api/records/10085148/draft/files/00_sample_rawdata_overview.png/content"}}, {"id": "d7e9245e-7d24-4b8a-900e-e6e87c6105ac", "filename": "DCIM.zip", "filesize": 3725620880, "checksum": "5732da0547e5b0ecf2c2cdb04fa895ce", "links": {"self": "https://zenodo.org/api/records/10085148/files/d7e9245e-7d24-4b8a-900e-e6e87c6105ac", "download": "https://zenodo.org/api/records/10085148/draft/files/DCIM.zip/content"}}, {"id": "209f8eed-7e66-4759-a100-555e46807344", "filename": "GPS.zip", "filesize": 7542848, "checksum": "ca258932fe6f2d1678bd04deb413c74b", "links": {"self": "https://zenodo.org/api/records/10085148/files/209f8eed-7e66-4759-a100-555e46807344", "download": "https://zenodo.org/api/records/10085148/draft/files/GPS.zip/content"}}, {"id": "9692ce56-6738-48fd-8924-824531a34ca1", "filename": "METADATA.zip", "filesize": 16325153, "checksum": "c7e48ac8ec4b5ef4fdfa01f9d6198eea", "links": {"self": "https://zenodo.org/api/records/10085148/files/9692ce56-6738-48fd-8924-824531a34ca1", "download": "https://zenodo.org/api/records/10085148/draft/files/METADATA.zip/content"}}], "state": "done", "submitted": true}
[65]:
### Check DOI's
for doi in range(len(df)):
print(df.iloc[doi]["Identifier"])
id:20220914_MYT-aeroport_UAV-02_3_
doi:10.5281/zenodo.10085094
id:20220911_MYT-aeroport_UAV-02_2_
doi:10.5281/zenodo.10085097
id:20220910_MYT-musicalplage_UAV-02_1_
doi:10.5281/zenodo.10085102
id:20220912_MYT-surprise_UAV-02_2_
doi:10.5281/zenodo.10085107
id:20220911_MYT-jollyroger_UAV-02_1_
doi:10.5281/zenodo.10085110
id:20220911_MYT-aeroport_UAV-02_1_
doi:10.5281/zenodo.10085111
id:20220912_MYT-surprise_UAV-02_3_
doi:10.5281/zenodo.10085112
id:20220914_MYT-ile-blanche_UAV-02_2_
doi:10.5281/zenodo.10085117
id:20220910_MYT-jolly-roger_UAV-02_3_
doi:10.5281/zenodo.10085118
id:20220913_MYT-ngouja_UAV-02_2_
doi:10.5281/zenodo.10085119
id:20220910_MYT-jollyroger_UAV-02_2_
doi:10.5281/zenodo.10085126
id:20220913_MYT-jollyroger_UAV-02_1_
doi:10.5281/zenodo.10085131
id:20220914_MYT-aeroport_UAV-02_1_
doi:10.5281/zenodo.10085135
id:20220913_MYT-ngouja_UAV-02_3_
doi:10.5281/zenodo.10085138
id:20220912_MYT-ile-blanche_UAV-02_1_
doi:10.5281/zenodo.10085139
id:20220911_MYT-jollyroger_UAV-02_2_
doi:10.5281/zenodo.10085143
id:20220911_MYT-musicalplage_UAV-02_3_
doi:10.5281/zenodo.10085148
[66]:
### Export processed data df to csv
# fname = out_prefix + '_zenodo-rawdata'
# df.to_csv(os.path.join(output, fname + ".csv"), quoting=1, quotechar='"', index=False)
df.to_csv(os.path.join(output, out_prefix + "_processed_data_updated_doi.csv"), quoting=1, quotechar='"', index=False)
# # config_raw = os.path.join(output, out_prefix + '_rawfiles-config.json')
[121]:
# Reload df from WebODM download as updated dataframe
df = {}
df = pd.read_csv(os.path.join(input, out_prefix + '_processed_data_updated_doi.csv'))
df.head()
[121]:
| Identifier | Title | Description | Subject | Creator | Date | Type | Language | SpatialCoverage | TemporalCoverage | Relation | Rights | Provenance | Format | Data | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | id:20220914_MYT-aeroport_UAV-02_3_\ndoi:10.528... | title:Orthophoto & DEM (MNE) issues d'images d... | abstract:"Ce jeu de données présente les résul... | theme[General]:G2OI,Future Maore Reef,drone,la... | author:sylvain.poulain@ird.fr,isabel.urbina-ba... | publication:2023-10-11_\nedition:2023-10-11 | dataset | fra | NaN | 2022-09-14 11-35-17 - 2022-09-14 11-49-42 | thumbnail:Future Maore Reef@https://www.future... | useLimitation:Utilisation libre sous réserve d... | statement:"- Camera model and parameters:\n Ma... | resource:image/tiff_\ndistribution:image/tiff[... | source:000_photogrammetry_report.pdf@/home/syl... |
| 1 | id:20220911_MYT-aeroport_UAV-02_2_\ndoi:10.528... | title:Orthophoto & DEM (MNE) issues d'images d... | abstract:"Ce jeu de données présente les résul... | theme[General]:G2OI,Future Maore Reef,drone,la... | author:sylvain.poulain@ird.fr,isabel.urbina-ba... | publication:2023-10-11_\nedition:2023-10-11 | dataset | fra | NaN | 2022-09-11 15-18-37 - 2022-09-11 15-26-13 | thumbnail:Future Maore Reef@https://www.future... | useLimitation:Utilisation libre sous réserve d... | statement:"- Camera model and parameters:\n Ma... | resource:image/tiff_\ndistribution:image/tiff[... | source:000_photogrammetry_report.pdf@/home/syl... |
| 2 | id:20220910_MYT-musicalplage_UAV-02_1_\ndoi:10... | title:Orthophoto & DEM (MNE) issues d'images d... | abstract:"Ce jeu de données présente les résul... | theme[General]:G2OI,Future Maore Reef,drone,la... | author:sylvain.poulain@ird.fr,isabel.urbina-ba... | publication:2023-10-11_\nedition:2023-10-11 | dataset | fra | NaN | 2022-09-10 11-00-06 - 2022-09-10 11-07-35 | thumbnail:Future Maore Reef@https://www.future... | useLimitation:Utilisation libre sous réserve d... | statement:"- Camera model and parameters:\n Ma... | resource:image/tiff_\ndistribution:image/tiff[... | source:000_photogrammetry_report.pdf@/home/syl... |
| 3 | id:20220912_MYT-surprise_UAV-02_2_\ndoi:10.528... | title:Orthophoto & DEM (MNE) issues d'images d... | abstract:"Ce jeu de données présente les résul... | theme[General]:G2OI,Future Maore Reef,drone,la... | author:sylvain.poulain@ird.fr,isabel.urbina-ba... | publication:2023-10-11_\nedition:2023-10-11 | dataset | fra | NaN | 2022-09-12 12-31-19 - 2022-09-12 12-45-40 | thumbnail:Future Maore Reef@https://www.future... | useLimitation:Utilisation libre sous réserve d... | statement:"- Camera model and parameters:\n Ma... | resource:image/tiff_\ndistribution:image/tiff[... | source:000_photogrammetry_report.pdf@/home/syl... |
| 4 | id:20220911_MYT-jollyroger_UAV-02_1_\ndoi:10.5... | title:Orthophoto & DEM (MNE) issues d'images d... | abstract:"Ce jeu de données présente les résul... | theme[General]:G2OI,Future Maore Reef,drone,la... | author:sylvain.poulain@ird.fr,isabel.urbina-ba... | publication:2023-10-11_\nedition:2023-10-11 | dataset | fra | NaN | 2022-09-11 08-37-19 - 2022-09-11 08-55-09 | thumbnail:Future Maore Reef@https://www.future... | useLimitation:Utilisation libre sous réserve d... | statement:"- Camera model and parameters:\n Ma... | resource:image/tiff_\ndistribution:image/tiff[... | source:000_photogrammetry_report.pdf@/home/syl... |
Update Metadata
[123]:
### Update Metadata
print("#### Update metadata")
base_url = "https://zenodo.org/api/"
for zipul in range(len(df)):
print('\nDataset:', zipul+1, "/" ,len(df), "\n ",df.iloc[zipul]['Identifier'])
zenodo_baseurl = base_url
if 'doi:' in df.iloc[zipul]['Identifier']:
doi_raw = df.iloc[zipul]['Identifier'].split('_\ndoi:')[1].split('_\n')[0].split('.')[-1]
# print("\nDOI already present: ",doi_raw)
# getrecid = zenlist_single(zenodo_baseurl, ACCESS_TOKEN, str(doi_raw))
# print(getrecid.text)
# zenval = zenvar(getrecid)
# print(zenval)
# print("\nEnrich upload with metadata")
zenedit(zenodo_baseurl, ACCESS_TOKEN, doi_raw)
zen_metadata = zenmdt(zenodo_baseurl, ACCESS_TOKEN, doi_raw, df, zipul, contact_file="/home/sylvain/DroneMDT/geoflow_g2oi_contacts.csv")
print(zen_metadata)
### Publish to Zenodo
print("Publish record")
published = zenpublish(zenodo_baseurl, ACCESS_TOKEN, doi_raw)
print(published.text)
#### Update metadata
Dataset: 1 / 17
id:20220914_MYT-aeroport_UAV-02_3_
doi:10.5281/zenodo.8432872_
conceptdoi:10.5281/zenodo.8432871
Using contact file
Looking for sylvain.poulain@ird.fr
Look for email sylvain.poulain@ird.fr in Contact file
Add orcid
Add First and Last Name
Add Affiliation
Looking for isabel.urbina-barreto@ird.fr
Look for email isabel.urbina-barreto@ird.fr in Contact file
Add orcid
Add First and Last Name
Add Affiliation
Looking for julien.barde@ird.fr
Look for email julien.barde@ird.fr in Contact file
Add orcid
Add First and Last Name
Add Affiliation
Looking for aline.tribollet@ird.fr
Look for email aline.tribollet@ird.fr in Contact file
Add orcid
Add First and Last Name
Add Affiliation
Looking for francois.guilhaumon@ird.fr
Look for email francois.guilhaumon@ird.fr in Contact file
Add orcid
Add First and Last Name
Add Affiliation
{'metadata': {'title': 'Images drone UAV, Aeroport, Mayotte - 20220914', 'publication_date': '2023-10-11', 'description': '"Jeu de données composé d’images de drone DJI Mavic 2 Pro UAV acquises sur le site de Aeroport, Mayotte à la date suivante : 20220914.\n<br />\n<br />Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l’objectif de la mission vise à étudier l’implantation de récifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace aérien contrôlé, les vols ont été exécutés en regard de la réglmentation et en contact avec la tour de contrôle de l\'aéroport de Mayotte. \n<br />\n<br />\n<br /><b>Le dépôt est composé des éléments suivants:</b>\n<br /> - 00_: Planche d\'aperçu des images\n<br /> - DCIM.zip: Images brutes issues du drone\n<br /> - GPS.zip: Geopackage contenant l’emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d’attribut en base64\n<br /> - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br />\n<br /><b>Arborescence d\'origine:</b>\n<br />└─ 20220914_MYT-aeroport_UAV-02_3\n<br /> └─ DCIM\n<br /> └─ GPS\n<br /> └─ METADATA\n<br /> └─ tb\n<br />\n<br /><b>Informations de survol:</b>\n<br />Différentes hauteurs de vols, angles des transects et angles de caméra ont été utilisés dans le but d\'obtenir des données de qualité en fonction des conditions météorologiques et marines.\n<br />- Camera model and parameters:\n<br /> Make: Hasselblad\n<br /> Model: L1D-20c\n<br /> Width: 5472\n<br /> Height: 3648\n<br /> Focal: 28\n<br /> WhiteBalance: Manual\n<br /> ExposureMode: Auto Exposure\n<br /> ColoSpace: sRGB\n<br /> EV: -0.7\n<br /> MeteringMode: CenterWeightedAverage\n<br /> Camera Pitch: -75.00\n<br />\n<br />- Survey informations:\n<br /> No Images: 327\n<br /> Median height: 70 meters\n<br /> Survey area: 7.71 hectares\n<br /> Survey from: 2022:09:14 11:35:17 to: 2022:09:14 11:49:42\n<br />\n<br />Les dépôts suivants comprennent les données traitées avec OpenDroneMap"', 'access_right': 'open', 'notes': '<p></p><div class="ui message warning">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br /><img src="https://github.com/IRDG2OI/geoflow-g2oi/raw/main/img/logos_partenaires.png?raw=True">', 'creators': [{'orcid': '0009-0005-9789-9095', 'name': 'Sylvain Poulain', 'affiliation': 'Institut de recherche pour le développement (IRD), MARBEC Research Unit'}, {'orcid': '0000-0002-2592-8409', 'name': 'Isabel Urbina-Barreto', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR ENTROPIE'}, {'orcid': '0000-0002-3519-6141', 'name': 'Julien Barde', 'affiliation': 'IRD, UMR MARBEC'}, {'orcid': '0000-0003-2385-3682', 'name': 'Aline Tribollet', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR LOCEAN'}, {'orcid': '0000-0003-4707-8932', 'name': 'François Guilhaumon', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR ENTROPIE'}], 'keywords': ['Future Maore Reef', 'drone', 'lagon', 'corail', 'reef'], 'related_identifiers': [{'identifier': 'urn:20220914_MYT-aeroport_UAV-02_3', 'relation': 'isIdenticalTo', 'scheme': 'urn'}], 'version': 'RAW DATA', 'language': 'fra', 'license': 'cc-by-4.0', 'imprint_publisher': 'Zenodo', 'upload_type': 'dataset', 'communities': [{'identifier': 'umr-entropie'}]}}
<Response [200]>
Publish record
{"created": "2023-10-12T20:54:10.054920+00:00", "modified": "2023-12-01T07:26:27.363510+00:00", "id": 8432872, "conceptrecid": "8432871", "doi": "10.5281/zenodo.8432872", "conceptdoi": "10.5281/zenodo.8432871", "doi_url": "https://doi.org/10.5281/zenodo.8432872", "metadata": {"title": "Images drone UAV, Aeroport, Mayotte - 20220914", "doi": "10.5281/zenodo.8432872", "publication_date": "2023-10-11", "description": "\"Jeu de donn\u00e9es compos\u00e9 d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Aeroport, Mayotte \u00e0 la date suivante : 20220914.\n<br>\n<br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise \u00e0 \u00e9tudier l'implantation de r\u00e9cifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace a\u00e9rien contr\u00f4l\u00e9, les vols ont \u00e9t\u00e9 ex\u00e9cut\u00e9s en regard de la r\u00e9glmentation et en contact avec la tour de contr\u00f4le de l'a\u00e9roport de Mayotte. \n<br>\n<br>\n<br><b>Le d\u00e9p\u00f4t est compos\u00e9 des \u00e9l\u00e9ments suivants:</b>\n<br> - 00_: Planche d'aper\u00e7u des images\n<br> - DCIM.zip: Images brutes issues du drone\n<br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la g\u00e9olocalisation des images accompagn\u00e9es de leurs miniatures dans la table d'attribut en base64\n<br> - METADATA.zip: M\u00e9tadonn\u00e9es au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br>\n<br><b>Arborescence d'origine:</b>\n<br>\u2514\u2500 20220914_MYT-aeroport_UAV-02_3\n<br> \u2514\u2500 DCIM\n<br> \u2514\u2500 GPS\n<br> \u2514\u2500 METADATA\n<br> \u2514\u2500 tb\n<br>\n<br><b>Informations de survol:</b>\n<br>Diff\u00e9rentes hauteurs de vols, angles des transects et angles de cam\u00e9ra ont \u00e9t\u00e9 utilis\u00e9s dans le but d'obtenir des donn\u00e9es de qualit\u00e9 en fonction des conditions m\u00e9t\u00e9orologiques et marines.\n<br>- Camera model and parameters:\n<br> Make: Hasselblad\n<br> Model: L1D-20c\n<br> Width: 5472\n<br> Height: 3648\n<br> Focal: 28\n<br> WhiteBalance: Manual\n<br> ExposureMode: Auto Exposure\n<br> ColoSpace: sRGB\n<br> EV: -0.7\n<br> MeteringMode: CenterWeightedAverage\n<br> Camera Pitch: -75.00\n<br>\n<br>- Survey informations:\n<br> No Images: 327\n<br> Median height: 70 meters\n<br> Survey area: 7.71 hectares\n<br> Survey from: 2022:09:14 11:35:17 to: 2022:09:14 11:49:42\n<br>\n<br>Les d\u00e9p\u00f4ts suivants comprennent les donn\u00e9es trait\u00e9es avec OpenDroneMap\"", "access_right": "open", "creators": [{"name": "Sylvain Poulain", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), MARBEC Research Unit", "orcid": "0009-0005-9789-9095"}, {"name": "Isabel Urbina-Barreto", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), UMR ENTROPIE", "orcid": "0000-0002-2592-8409"}, {"name": "Julien Barde", "affiliation": "IRD, UMR MARBEC", "orcid": "0000-0002-3519-6141"}, {"name": "Aline Tribollet", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), UMR LOCEAN", "orcid": "0000-0003-2385-3682"}, {"name": "Fran\u00e7ois Guilhaumon", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), UMR ENTROPIE", "orcid": "0000-0003-4707-8932"}], "keywords": ["Future Maore Reef", "drone", "lagon", "corail", "reef"], "related_identifiers": [{"identifier": "urn:20220914_MYT-aeroport_UAV-02_3", "relation": "isIdenticalTo", "scheme": "urn"}], "version": "RAW DATA", "language": "fra", "license": "cc-by-4.0", "imprint_publisher": "Zenodo", "communities": [{"identifier": "uav"}], "notes": "<p></p><div class=\"ui message warning\">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br>", "upload_type": "dataset", "prereserve_doi": {"doi": "10.5281/zenodo.8432872", "recid": 8432872}}, "title": "Images drone UAV, Aeroport, Mayotte - 20220914", "links": {"self": "https://zenodo.org/api/records/8432872", "html": "https://zenodo.org/records/8432872", "doi": "https://doi.org/10.5281/zenodo.8432872", "parent_doi": "https://zenodo.org/doi/10.5281/zenodo.8432871", "badge": "https://zenodo.org/badge/doi/10.5281%2Fzenodo.8432872.svg", "conceptbadge": "https://zenodo.org/badge/doi/10.5281%2Fzenodo.8432871.svg", "files": "https://zenodo.org/api/records/8432872/files", "bucket": "https://zenodo.org/api/files/3520eae4-408c-4c9d-b189-3d91295210ce", "thumb250": "https://zenodo.org/record/8432872/thumb250", "thumbs": {"10": "https://zenodo.org/record/8432872/thumb10", "50": "https://zenodo.org/record/8432872/thumb50", "100": "https://zenodo.org/record/8432872/thumb100", "250": "https://zenodo.org/record/8432872/thumb250", "750": "https://zenodo.org/record/8432872/thumb750", "1200": "https://zenodo.org/record/8432872/thumb1200"}, "latest_draft": "https://zenodo.org/api/deposit/depositions/8432872", "latest_draft_html": "https://zenodo.org/deposit/8432872", "publish": "https://zenodo.org/api/deposit/depositions/8432872/actions/publish", "edit": "https://zenodo.org/api/deposit/depositions/8432872/actions/edit", "discard": "https://zenodo.org/api/deposit/depositions/8432872/actions/discard", "newversion": "https://zenodo.org/api/deposit/depositions/8432872/actions/newversion", "registerconceptdoi": "https://zenodo.org/api/deposit/depositions/8432872/actions/registerconceptdoi", "record": "https://zenodo.org/api/records/8432872", "record_html": "https://zenodo.org/record/8432872", "latest": "https://zenodo.org/api/records/8432872/versions/latest", "latest_html": "https://zenodo.org/record/8432872/versions/latest"}, "record_id": 8432872, "owner": 601426, "files": [{"id": "2bcb4146-ab11-4b7c-b498-03e5383e940e", "filename": "00_sample_rawdata_overview.png", "filesize": 709030, "checksum": "cec19a0cf98b98b0dcf69bb39a1f797a", "links": {"self": "https://zenodo.org/api/records/8432872/files/2bcb4146-ab11-4b7c-b498-03e5383e940e", "download": "https://zenodo.org/api/records/8432872/draft/files/00_sample_rawdata_overview.png/content"}}, {"id": "72be0ad1-4dcf-4671-81cd-ca9d6f8550af", "filename": "DCIM.zip", "filesize": 4092817624, "checksum": "cd5afaea72de38e8a8e65075c5c2269f", "links": {"self": "https://zenodo.org/api/records/8432872/files/72be0ad1-4dcf-4671-81cd-ca9d6f8550af", "download": "https://zenodo.org/api/records/8432872/draft/files/DCIM.zip/content"}}, {"id": "a926b2bb-7a15-4c6c-bec7-62e4b23ad24d", "filename": "GPS.zip", "filesize": 8539249, "checksum": "035058a54d22feaddb7805f4adf58452", "links": {"self": "https://zenodo.org/api/records/8432872/files/a926b2bb-7a15-4c6c-bec7-62e4b23ad24d", "download": "https://zenodo.org/api/records/8432872/draft/files/GPS.zip/content"}}, {"id": "a8aa770f-4a06-44a7-b79c-2a3f6571d5f6", "filename": "METADATA.zip", "filesize": 20090534, "checksum": "98eb51baafe4fe37ba7aac2f25abf748", "links": {"self": "https://zenodo.org/api/records/8432872/files/a8aa770f-4a06-44a7-b79c-2a3f6571d5f6", "download": "https://zenodo.org/api/records/8432872/draft/files/METADATA.zip/content"}}], "state": "done", "submitted": true}
Dataset: 2 / 17
id:20220911_MYT-aeroport_UAV-02_2_
doi:10.5281/zenodo.8432885_
conceptdoi:10.5281/zenodo.8432884
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{'metadata': {'title': 'Images drone UAV, Aeroport, Mayotte - 20220911', 'publication_date': '2023-10-11', 'description': '"Jeu de données composé d’images de drone DJI Mavic 2 Pro UAV acquises sur le site de Aeroport, Mayotte à la date suivante : 20220911.\n<br />\n<br />Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l’objectif de la mission vise à étudier l’implantation de récifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace aérien contrôlé, les vols ont été exécutés en regard de la réglmentation et en contact avec la tour de contrôle de l\'aéroport de Mayotte. \n<br />\n<br />\n<br /><b>Le dépôt est composé des éléments suivants:</b>\n<br /> - 00_: Planche d\'aperçu des images\n<br /> - DCIM.zip: Images brutes issues du drone\n<br /> - GPS.zip: Geopackage contenant l’emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d’attribut en base64\n<br /> - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br />\n<br /><b>Arborescence d\'origine:</b>\n<br />└─ 20220911_MYT-aeroport_UAV-02_2\n<br /> └─ DCIM\n<br /> └─ GPS\n<br /> └─ METADATA\n<br /> └─ tb\n<br />\n<br /><b>Informations de survol:</b>\n<br />Différentes hauteurs de vols, angles des transects et angles de caméra ont été utilisés dans le but d\'obtenir des données de qualité en fonction des conditions météorologiques et marines.\n<br />- Camera model and parameters:\n<br /> Make: Hasselblad\n<br /> Model: L1D-20c\n<br /> Width: 5472\n<br /> Height: 3648\n<br /> Focal: 28\n<br /> WhiteBalance: Manual\n<br /> ExposureMode: Auto Exposure\n<br /> ColoSpace: sRGB\n<br /> EV: -0.7\n<br /> MeteringMode: CenterWeightedAverage\n<br /> Camera Pitch: -90.00\n<br />\n<br />- Survey informations:\n<br /> No Images: 187\n<br /> Median height: 70 meters\n<br /> Survey area: 4.03 hectares\n<br /> Survey from: 2022:09:11 15:18:37 to: 2022:09:11 15:26:13\n<br />\n<br />Les dépôts suivants comprennent les données traitées avec OpenDroneMap"', 'access_right': 'open', 'notes': '<p></p><div class="ui message warning">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br /><img src="https://github.com/IRDG2OI/geoflow-g2oi/raw/main/img/logos_partenaires.png?raw=True">', 'creators': [{'orcid': '0009-0005-9789-9095', 'name': 'Sylvain Poulain', 'affiliation': 'Institut de recherche pour le développement (IRD), MARBEC Research Unit'}, {'orcid': '0000-0002-2592-8409', 'name': 'Isabel Urbina-Barreto', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR ENTROPIE'}, {'orcid': '0000-0002-3519-6141', 'name': 'Julien Barde', 'affiliation': 'IRD, UMR MARBEC'}, {'orcid': '0000-0003-2385-3682', 'name': 'Aline Tribollet', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR LOCEAN'}, {'orcid': '0000-0003-4707-8932', 'name': 'François Guilhaumon', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR ENTROPIE'}], 'keywords': ['Future Maore Reef', 'drone', 'lagon', 'corail', 'reef'], 'related_identifiers': [{'identifier': 'urn:20220911_MYT-aeroport_UAV-02_2', 'relation': 'isIdenticalTo', 'scheme': 'urn'}], 'version': 'RAW DATA', 'language': 'fra', 'license': 'cc-by-4.0', 'imprint_publisher': 'Zenodo', 'upload_type': 'dataset', 'communities': [{'identifier': 'umr-entropie'}]}}
<Response [200]>
Publish record
{"created": "2023-10-12T20:54:20.722381+00:00", "modified": "2023-12-01T07:26:56.920578+00:00", "id": 8432885, "conceptrecid": "8432884", "doi": "10.5281/zenodo.8432885", "conceptdoi": "10.5281/zenodo.8432884", "doi_url": "https://doi.org/10.5281/zenodo.8432885", "metadata": {"title": "Images drone UAV, Aeroport, Mayotte - 20220911", "doi": "10.5281/zenodo.8432885", "publication_date": "2023-10-11", "description": "\"Jeu de donn\u00e9es compos\u00e9 d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Aeroport, Mayotte \u00e0 la date suivante : 20220911.\n<br>\n<br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise \u00e0 \u00e9tudier l'implantation de r\u00e9cifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace a\u00e9rien contr\u00f4l\u00e9, les vols ont \u00e9t\u00e9 ex\u00e9cut\u00e9s en regard de la r\u00e9glmentation et en contact avec la tour de contr\u00f4le de l'a\u00e9roport de Mayotte. \n<br>\n<br>\n<br><b>Le d\u00e9p\u00f4t est compos\u00e9 des \u00e9l\u00e9ments suivants:</b>\n<br> - 00_: Planche d'aper\u00e7u des images\n<br> - DCIM.zip: Images brutes issues du drone\n<br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la g\u00e9olocalisation des images accompagn\u00e9es de leurs miniatures dans la table d'attribut en base64\n<br> - METADATA.zip: M\u00e9tadonn\u00e9es au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br>\n<br><b>Arborescence d'origine:</b>\n<br>\u2514\u2500 20220911_MYT-aeroport_UAV-02_2\n<br> \u2514\u2500 DCIM\n<br> \u2514\u2500 GPS\n<br> \u2514\u2500 METADATA\n<br> \u2514\u2500 tb\n<br>\n<br><b>Informations de survol:</b>\n<br>Diff\u00e9rentes hauteurs de vols, angles des transects et angles de cam\u00e9ra ont \u00e9t\u00e9 utilis\u00e9s dans le but d'obtenir des donn\u00e9es de qualit\u00e9 en fonction des conditions m\u00e9t\u00e9orologiques et marines.\n<br>- Camera model and parameters:\n<br> Make: Hasselblad\n<br> Model: L1D-20c\n<br> Width: 5472\n<br> Height: 3648\n<br> Focal: 28\n<br> WhiteBalance: Manual\n<br> ExposureMode: Auto Exposure\n<br> ColoSpace: sRGB\n<br> EV: -0.7\n<br> MeteringMode: CenterWeightedAverage\n<br> Camera Pitch: -90.00\n<br>\n<br>- Survey informations:\n<br> No Images: 187\n<br> Median height: 70 meters\n<br> Survey area: 4.03 hectares\n<br> Survey from: 2022:09:11 15:18:37 to: 2022:09:11 15:26:13\n<br>\n<br>Les d\u00e9p\u00f4ts suivants comprennent les donn\u00e9es trait\u00e9es avec OpenDroneMap\"", "access_right": "open", "creators": [{"name": "Sylvain Poulain", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), MARBEC Research Unit", "orcid": "0009-0005-9789-9095"}, {"name": "Isabel Urbina-Barreto", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), UMR ENTROPIE", "orcid": "0000-0002-2592-8409"}, {"name": "Julien Barde", "affiliation": "IRD, UMR MARBEC", "orcid": "0000-0002-3519-6141"}, {"name": "Aline Tribollet", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), UMR LOCEAN", "orcid": "0000-0003-2385-3682"}, {"name": "Fran\u00e7ois Guilhaumon", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), UMR ENTROPIE", "orcid": "0000-0003-4707-8932"}], "keywords": ["Future Maore Reef", "drone", "lagon", "corail", "reef"], "related_identifiers": [{"identifier": "urn:20220911_MYT-aeroport_UAV-02_2", "relation": "isIdenticalTo", "scheme": "urn"}], "version": "RAW DATA", "language": "fra", "license": "cc-by-4.0", "imprint_publisher": "Zenodo", "communities": [{"identifier": "uav"}], "notes": "<p></p><div class=\"ui message warning\">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br>", "upload_type": "dataset", "prereserve_doi": {"doi": "10.5281/zenodo.8432885", "recid": 8432885}}, "title": "Images drone UAV, Aeroport, Mayotte - 20220911", "links": {"self": "https://zenodo.org/api/records/8432885", "html": "https://zenodo.org/records/8432885", "doi": "https://doi.org/10.5281/zenodo.8432885", "parent_doi": "https://zenodo.org/doi/10.5281/zenodo.8432884", "badge": "https://zenodo.org/badge/doi/10.5281%2Fzenodo.8432885.svg", "conceptbadge": "https://zenodo.org/badge/doi/10.5281%2Fzenodo.8432884.svg", "files": "https://zenodo.org/api/records/8432885/files", "bucket": "https://zenodo.org/api/files/40911dd1-014e-493c-9865-4aa2e9487ab8", "thumb250": "https://zenodo.org/record/8432885/thumb250", "thumbs": {"10": "https://zenodo.org/record/8432885/thumb10", "50": "https://zenodo.org/record/8432885/thumb50", "100": "https://zenodo.org/record/8432885/thumb100", "250": "https://zenodo.org/record/8432885/thumb250", "750": "https://zenodo.org/record/8432885/thumb750", "1200": "https://zenodo.org/record/8432885/thumb1200"}, "latest_draft": "https://zenodo.org/api/deposit/depositions/8432885", "latest_draft_html": "https://zenodo.org/deposit/8432885", "publish": "https://zenodo.org/api/deposit/depositions/8432885/actions/publish", "edit": "https://zenodo.org/api/deposit/depositions/8432885/actions/edit", "discard": "https://zenodo.org/api/deposit/depositions/8432885/actions/discard", "newversion": "https://zenodo.org/api/deposit/depositions/8432885/actions/newversion", "registerconceptdoi": "https://zenodo.org/api/deposit/depositions/8432885/actions/registerconceptdoi", "record": "https://zenodo.org/api/records/8432885", "record_html": "https://zenodo.org/record/8432885", "latest": "https://zenodo.org/api/records/8432885/versions/latest", "latest_html": "https://zenodo.org/record/8432885/versions/latest"}, "record_id": 8432885, "owner": 601426, "files": [{"id": "a8cb6be7-c086-4446-a585-1bd70de2f7a4", "filename": "00_sample_rawdata_overview.png", "filesize": 383158, "checksum": "43802ec4c1305f5cacc400dde531e6a9", "links": {"self": "https://zenodo.org/api/records/8432885/files/a8cb6be7-c086-4446-a585-1bd70de2f7a4", "download": "https://zenodo.org/api/records/8432885/draft/files/00_sample_rawdata_overview.png/content"}}, {"id": "78c1ef45-610a-4938-a786-b11de8d8d1e0", "filename": "DCIM.zip", "filesize": 995466922, "checksum": "8dd30f53709bec924103d06a28e1a07c", "links": {"self": "https://zenodo.org/api/records/8432885/files/78c1ef45-610a-4938-a786-b11de8d8d1e0", "download": "https://zenodo.org/api/records/8432885/draft/files/DCIM.zip/content"}}, {"id": "0f77f05f-feb7-49a9-a382-5b3f63cb4d2f", "filename": "GPS.zip", "filesize": 2518625, "checksum": "8b3ff1d38ed10006a27088f3947fe1c3", "links": {"self": "https://zenodo.org/api/records/8432885/files/0f77f05f-feb7-49a9-a382-5b3f63cb4d2f", "download": "https://zenodo.org/api/records/8432885/draft/files/GPS.zip/content"}}, {"id": "c02f0b00-28e4-4e99-ab71-20139eb4f644", "filename": "METADATA.zip", "filesize": 4339593, "checksum": "92b83258acd1d5abd4f37e4d89a0706b", "links": {"self": "https://zenodo.org/api/records/8432885/files/c02f0b00-28e4-4e99-ab71-20139eb4f644", "download": "https://zenodo.org/api/records/8432885/draft/files/METADATA.zip/content"}}], "state": "done", "submitted": true}
Dataset: 3 / 17
id:20220910_MYT-musicalplage_UAV-02_1_
doi:10.5281/zenodo.8432891_
conceptdoi:10.5281/zenodo.8432890
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{'metadata': {'title': 'Images drone UAV, Musicalplage, Mayotte - 20220910', 'publication_date': '2023-10-11', 'description': '"Jeu de données composé d’images de drone DJI Mavic 2 Pro UAV acquises sur le site de Musicalplage, Mayotte à la date suivante : 20220910.\n<br />\n<br />Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l’objectif de la mission vise à étudier l’implantation de récifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace aérien contrôlé, les vols ont été exécutés en regard de la réglmentation et en contact avec la tour de contrôle de l\'aéroport de Mayotte. \n<br />\n<br />\n<br /><b>Le dépôt est composé des éléments suivants:</b>\n<br /> - 00_: Planche d\'aperçu des images\n<br /> - DCIM.zip: Images brutes issues du drone\n<br /> - GPS.zip: Geopackage contenant l’emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d’attribut en base64\n<br /> - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br />\n<br /><b>Arborescence d\'origine:</b>\n<br />└─ 20220910_MYT-musicalplage_UAV-02_1\n<br /> └─ DCIM\n<br /> └─ GPS\n<br /> └─ METADATA\n<br /> └─ tb\n<br />\n<br /><b>Informations de survol:</b>\n<br />Différentes hauteurs de vols, angles des transects et angles de caméra ont été utilisés dans le but d\'obtenir des données de qualité en fonction des conditions météorologiques et marines.\n<br />- Camera model and parameters:\n<br /> Make: Hasselblad\n<br /> Model: L1D-20c\n<br /> Width: 5472\n<br /> Height: 3648\n<br /> Focal: 28\n<br /> WhiteBalance: Manual\n<br /> ExposureMode: Auto Exposure\n<br /> ColoSpace: sRGB\n<br /> EV: -0.3\n<br /> MeteringMode: Average\n<br /> Camera Pitch: -70.30\n<br />\n<br />- Survey informations:\n<br /> No Images: 114\n<br /> Median height: 120 meters\n<br /> Survey area: 13.92 hectares\n<br /> Survey from: 2022:09:10 11:00:06 to: 2022:09:10 11:07:35\n<br />\n<br />Les dépôts suivants comprennent les données traitées avec OpenDroneMap"', 'access_right': 'open', 'notes': '<p></p><div class="ui message warning">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br /><img src="https://github.com/IRDG2OI/geoflow-g2oi/raw/main/img/logos_partenaires.png?raw=True">', 'creators': [{'orcid': '0009-0005-9789-9095', 'name': 'Sylvain Poulain', 'affiliation': 'Institut de recherche pour le développement (IRD), MARBEC Research Unit'}, {'orcid': '0000-0002-2592-8409', 'name': 'Isabel Urbina-Barreto', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR ENTROPIE'}, {'orcid': '0000-0002-3519-6141', 'name': 'Julien Barde', 'affiliation': 'IRD, UMR MARBEC'}, {'orcid': '0000-0003-2385-3682', 'name': 'Aline Tribollet', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR LOCEAN'}, {'orcid': '0000-0003-4707-8932', 'name': 'François Guilhaumon', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR ENTROPIE'}], 'keywords': ['Future Maore Reef', 'drone', 'lagon', 'corail', 'reef'], 'related_identifiers': [{'identifier': 'urn:20220910_MYT-musicalplage_UAV-02_1', 'relation': 'isIdenticalTo', 'scheme': 'urn'}], 'version': 'RAW DATA', 'language': 'fra', 'license': 'cc-by-4.0', 'imprint_publisher': 'Zenodo', 'upload_type': 'dataset', 'communities': [{'identifier': 'umr-entropie'}]}}
<Response [200]>
Publish record
{"created": "2023-10-12T20:54:30.538150+00:00", "modified": "2023-12-01T07:27:24.002185+00:00", "id": 8432891, "conceptrecid": "8432890", "doi": "10.5281/zenodo.8432891", "conceptdoi": "10.5281/zenodo.8432890", "doi_url": "https://doi.org/10.5281/zenodo.8432891", "metadata": {"title": "Images drone UAV, Musicalplage, Mayotte - 20220910", "doi": "10.5281/zenodo.8432891", "publication_date": "2023-10-11", "description": "\"Jeu de donn\u00e9es compos\u00e9 d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Musicalplage, Mayotte \u00e0 la date suivante : 20220910.\n<br>\n<br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise \u00e0 \u00e9tudier l'implantation de r\u00e9cifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace a\u00e9rien contr\u00f4l\u00e9, les vols ont \u00e9t\u00e9 ex\u00e9cut\u00e9s en regard de la r\u00e9glmentation et en contact avec la tour de contr\u00f4le de l'a\u00e9roport de Mayotte. \n<br>\n<br>\n<br><b>Le d\u00e9p\u00f4t est compos\u00e9 des \u00e9l\u00e9ments suivants:</b>\n<br> - 00_: Planche d'aper\u00e7u des images\n<br> - DCIM.zip: Images brutes issues du drone\n<br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la g\u00e9olocalisation des images accompagn\u00e9es de leurs miniatures dans la table d'attribut en base64\n<br> - METADATA.zip: M\u00e9tadonn\u00e9es au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br>\n<br><b>Arborescence d'origine:</b>\n<br>\u2514\u2500 20220910_MYT-musicalplage_UAV-02_1\n<br> \u2514\u2500 DCIM\n<br> \u2514\u2500 GPS\n<br> \u2514\u2500 METADATA\n<br> \u2514\u2500 tb\n<br>\n<br><b>Informations de survol:</b>\n<br>Diff\u00e9rentes hauteurs de vols, angles des transects et angles de cam\u00e9ra ont \u00e9t\u00e9 utilis\u00e9s dans le but d'obtenir des donn\u00e9es de qualit\u00e9 en fonction des conditions m\u00e9t\u00e9orologiques et marines.\n<br>- Camera model and parameters:\n<br> Make: Hasselblad\n<br> Model: L1D-20c\n<br> Width: 5472\n<br> Height: 3648\n<br> Focal: 28\n<br> WhiteBalance: Manual\n<br> ExposureMode: Auto Exposure\n<br> ColoSpace: sRGB\n<br> EV: -0.3\n<br> MeteringMode: Average\n<br> Camera Pitch: -70.30\n<br>\n<br>- Survey informations:\n<br> No Images: 114\n<br> Median height: 120 meters\n<br> Survey area: 13.92 hectares\n<br> Survey from: 2022:09:10 11:00:06 to: 2022:09:10 11:07:35\n<br>\n<br>Les d\u00e9p\u00f4ts suivants comprennent les donn\u00e9es trait\u00e9es avec OpenDroneMap\"", "access_right": "open", "creators": [{"name": "Sylvain Poulain", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), MARBEC Research Unit", "orcid": "0009-0005-9789-9095"}, {"name": "Isabel Urbina-Barreto", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), UMR ENTROPIE", "orcid": "0000-0002-2592-8409"}, {"name": "Julien Barde", "affiliation": "IRD, UMR MARBEC", "orcid": "0000-0002-3519-6141"}, {"name": "Aline Tribollet", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), UMR LOCEAN", "orcid": "0000-0003-2385-3682"}, {"name": "Fran\u00e7ois Guilhaumon", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), UMR ENTROPIE", "orcid": "0000-0003-4707-8932"}], "keywords": ["Future Maore Reef", "drone", "lagon", "corail", "reef"], "related_identifiers": [{"identifier": "urn:20220910_MYT-musicalplage_UAV-02_1", "relation": "isIdenticalTo", "scheme": "urn"}], "version": "RAW DATA", "language": "fra", "license": "cc-by-4.0", "imprint_publisher": "Zenodo", "communities": [{"identifier": "uav"}], "notes": "<p></p><div class=\"ui message warning\">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br>", "upload_type": "dataset", "prereserve_doi": {"doi": "10.5281/zenodo.8432891", "recid": 8432891}}, "title": "Images drone UAV, Musicalplage, Mayotte - 20220910", "links": {"self": "https://zenodo.org/api/records/8432891", "html": "https://zenodo.org/records/8432891", "doi": "https://doi.org/10.5281/zenodo.8432891", "parent_doi": "https://zenodo.org/doi/10.5281/zenodo.8432890", "badge": "https://zenodo.org/badge/doi/10.5281%2Fzenodo.8432891.svg", "conceptbadge": "https://zenodo.org/badge/doi/10.5281%2Fzenodo.8432890.svg", "files": "https://zenodo.org/api/records/8432891/files", "bucket": "https://zenodo.org/api/files/aab5d7e7-b013-498e-937f-21f9f1b7c355", "thumb250": "https://zenodo.org/record/8432891/thumb250", "thumbs": {"10": "https://zenodo.org/record/8432891/thumb10", "50": "https://zenodo.org/record/8432891/thumb50", "100": "https://zenodo.org/record/8432891/thumb100", "250": "https://zenodo.org/record/8432891/thumb250", "750": "https://zenodo.org/record/8432891/thumb750", "1200": "https://zenodo.org/record/8432891/thumb1200"}, "latest_draft": "https://zenodo.org/api/deposit/depositions/8432891", "latest_draft_html": "https://zenodo.org/deposit/8432891", "publish": "https://zenodo.org/api/deposit/depositions/8432891/actions/publish", "edit": "https://zenodo.org/api/deposit/depositions/8432891/actions/edit", "discard": "https://zenodo.org/api/deposit/depositions/8432891/actions/discard", "newversion": "https://zenodo.org/api/deposit/depositions/8432891/actions/newversion", "registerconceptdoi": "https://zenodo.org/api/deposit/depositions/8432891/actions/registerconceptdoi", "record": "https://zenodo.org/api/records/8432891", "record_html": "https://zenodo.org/record/8432891", "latest": "https://zenodo.org/api/records/8432891/versions/latest", "latest_html": "https://zenodo.org/record/8432891/versions/latest"}, "record_id": 8432891, "owner": 601426, "files": [{"id": "0d529f75-0011-4710-babe-1992ff5a821f", "filename": "00_sample_rawdata_overview.png", "filesize": 670052, "checksum": "3ed5bb3aaac55f1df875df4998a29728", "links": {"self": "https://zenodo.org/api/records/8432891/files/0d529f75-0011-4710-babe-1992ff5a821f", "download": "https://zenodo.org/api/records/8432891/draft/files/00_sample_rawdata_overview.png/content"}}, {"id": "1cf08900-b993-48f1-bc4e-47711ed363ea", "filename": "DCIM.zip", "filesize": 1276614637, "checksum": "d4a090c23832e763ea9abcc69b82fd57", "links": {"self": "https://zenodo.org/api/records/8432891/files/1cf08900-b993-48f1-bc4e-47711ed363ea", "download": "https://zenodo.org/api/records/8432891/draft/files/DCIM.zip/content"}}, {"id": "0c9b5590-c3cf-4def-bd13-5fb030b2cbc0", "filename": "GPS.zip", "filesize": 2627375, "checksum": "505b11a80abde67e1d04fb5bde942457", "links": {"self": "https://zenodo.org/api/records/8432891/files/0c9b5590-c3cf-4def-bd13-5fb030b2cbc0", "download": "https://zenodo.org/api/records/8432891/draft/files/GPS.zip/content"}}, {"id": "5caeaf82-1071-4d01-8a87-26267767a992", "filename": "METADATA.zip", "filesize": 6922507, "checksum": "41e2752850f7b5557038e98dbd5ef729", "links": {"self": "https://zenodo.org/api/records/8432891/files/5caeaf82-1071-4d01-8a87-26267767a992", "download": "https://zenodo.org/api/records/8432891/draft/files/METADATA.zip/content"}}], "state": "done", "submitted": true}
Dataset: 4 / 17
id:20220912_MYT-surprise_UAV-02_2_
doi:10.5281/zenodo.8432895_
conceptdoi:10.5281/zenodo.8432894
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{'metadata': {'title': 'Images drone UAV, Surprise, Mayotte - 20220912', 'publication_date': '2023-10-11', 'description': '"Jeu de données composé d’images de drone DJI Mavic 2 Pro UAV acquises sur le site de Surprise, Mayotte à la date suivante : 20220912.\n<br />\n<br />Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l’objectif de la mission vise à étudier l’implantation de récifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace aérien contrôlé, les vols ont été exécutés en regard de la réglmentation et en contact avec la tour de contrôle de l\'aéroport de Mayotte. \n<br />\n<br />\n<br /><b>Le dépôt est composé des éléments suivants:</b>\n<br /> - 00_: Planche d\'aperçu des images\n<br /> - DCIM.zip: Images brutes issues du drone\n<br /> - GPS.zip: Geopackage contenant l’emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d’attribut en base64\n<br /> - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br />\n<br /><b>Arborescence d\'origine:</b>\n<br />└─ 20220912_MYT-surprise_UAV-02_2\n<br /> └─ DCIM\n<br /> └─ GPS\n<br /> └─ METADATA\n<br /> └─ tb\n<br />\n<br /><b>Informations de survol:</b>\n<br />Différentes hauteurs de vols, angles des transects et angles de caméra ont été utilisés dans le but d\'obtenir des données de qualité en fonction des conditions météorologiques et marines.\n<br />- Camera model and parameters:\n<br /> Make: Hasselblad\n<br /> Model: L1D-20c\n<br /> Width: 5472\n<br /> Height: 3648\n<br /> Focal: 28\n<br /> WhiteBalance: Manual\n<br /> ExposureMode: Auto Exposure\n<br /> ColoSpace: sRGB\n<br /> EV: -0.7\n<br /> MeteringMode: CenterWeightedAverage\n<br /> Camera Pitch: -75.00\n<br />\n<br />- Survey informations:\n<br /> No Images: 336\n<br /> Median height: 70 meters\n<br /> Survey area: 6.49 hectares\n<br /> Survey from: 2022:09:12 12:31:19 to: 2022:09:12 12:45:40\n<br />\n<br />Les dépôts suivants comprennent les données traitées avec OpenDroneMap"', 'access_right': 'open', 'notes': '<p></p><div class="ui message warning">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br /><img src="https://github.com/IRDG2OI/geoflow-g2oi/raw/main/img/logos_partenaires.png?raw=True">', 'creators': [{'orcid': '0009-0005-9789-9095', 'name': 'Sylvain Poulain', 'affiliation': 'Institut de recherche pour le développement (IRD), MARBEC Research Unit'}, {'orcid': '0000-0002-2592-8409', 'name': 'Isabel Urbina-Barreto', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR ENTROPIE'}, {'orcid': '0000-0002-3519-6141', 'name': 'Julien Barde', 'affiliation': 'IRD, UMR MARBEC'}, {'orcid': '0000-0003-2385-3682', 'name': 'Aline Tribollet', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR LOCEAN'}, {'orcid': '0000-0003-4707-8932', 'name': 'François Guilhaumon', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR ENTROPIE'}], 'keywords': ['Future Maore Reef', 'drone', 'lagon', 'corail', 'reef'], 'related_identifiers': [{'identifier': 'urn:20220912_MYT-surprise_UAV-02_2', 'relation': 'isIdenticalTo', 'scheme': 'urn'}], 'version': 'RAW DATA', 'language': 'fra', 'license': 'cc-by-4.0', 'imprint_publisher': 'Zenodo', 'upload_type': 'dataset', 'communities': [{'identifier': 'umr-entropie'}]}}
<Response [200]>
Publish record
{"created": "2023-10-12T20:54:39.680096+00:00", "modified": "2023-12-01T07:27:54.474490+00:00", "id": 8432895, "conceptrecid": "8432894", "doi": "10.5281/zenodo.8432895", "conceptdoi": "10.5281/zenodo.8432894", "doi_url": "https://doi.org/10.5281/zenodo.8432895", "metadata": {"title": "Images drone UAV, Surprise, Mayotte - 20220912", "doi": "10.5281/zenodo.8432895", "publication_date": "2023-10-11", "description": "\"Jeu de donn\u00e9es compos\u00e9 d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Surprise, Mayotte \u00e0 la date suivante : 20220912.\n<br>\n<br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise \u00e0 \u00e9tudier l'implantation de r\u00e9cifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace a\u00e9rien contr\u00f4l\u00e9, les vols ont \u00e9t\u00e9 ex\u00e9cut\u00e9s en regard de la r\u00e9glmentation et en contact avec la tour de contr\u00f4le de l'a\u00e9roport de Mayotte. \n<br>\n<br>\n<br><b>Le d\u00e9p\u00f4t est compos\u00e9 des \u00e9l\u00e9ments suivants:</b>\n<br> - 00_: Planche d'aper\u00e7u des images\n<br> - DCIM.zip: Images brutes issues du drone\n<br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la g\u00e9olocalisation des images accompagn\u00e9es de leurs miniatures dans la table d'attribut en base64\n<br> - METADATA.zip: M\u00e9tadonn\u00e9es au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br>\n<br><b>Arborescence d'origine:</b>\n<br>\u2514\u2500 20220912_MYT-surprise_UAV-02_2\n<br> \u2514\u2500 DCIM\n<br> \u2514\u2500 GPS\n<br> \u2514\u2500 METADATA\n<br> \u2514\u2500 tb\n<br>\n<br><b>Informations de survol:</b>\n<br>Diff\u00e9rentes hauteurs de vols, angles des transects et angles de cam\u00e9ra ont \u00e9t\u00e9 utilis\u00e9s dans le but d'obtenir des donn\u00e9es de qualit\u00e9 en fonction des conditions m\u00e9t\u00e9orologiques et marines.\n<br>- Camera model and parameters:\n<br> Make: Hasselblad\n<br> Model: L1D-20c\n<br> Width: 5472\n<br> Height: 3648\n<br> Focal: 28\n<br> WhiteBalance: Manual\n<br> ExposureMode: Auto Exposure\n<br> ColoSpace: sRGB\n<br> EV: -0.7\n<br> MeteringMode: CenterWeightedAverage\n<br> Camera Pitch: -75.00\n<br>\n<br>- Survey informations:\n<br> No Images: 336\n<br> Median height: 70 meters\n<br> Survey area: 6.49 hectares\n<br> Survey from: 2022:09:12 12:31:19 to: 2022:09:12 12:45:40\n<br>\n<br>Les d\u00e9p\u00f4ts suivants comprennent les donn\u00e9es trait\u00e9es avec OpenDroneMap\"", "access_right": "open", "creators": [{"name": "Sylvain Poulain", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), MARBEC Research Unit", "orcid": "0009-0005-9789-9095"}, {"name": "Isabel Urbina-Barreto", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), UMR ENTROPIE", "orcid": "0000-0002-2592-8409"}, {"name": "Julien Barde", "affiliation": "IRD, UMR MARBEC", "orcid": "0000-0002-3519-6141"}, {"name": "Aline Tribollet", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), UMR LOCEAN", "orcid": "0000-0003-2385-3682"}, {"name": "Fran\u00e7ois Guilhaumon", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), UMR ENTROPIE", "orcid": "0000-0003-4707-8932"}], "keywords": ["Future Maore Reef", "drone", "lagon", "corail", "reef"], "related_identifiers": [{"identifier": "urn:20220912_MYT-surprise_UAV-02_2", "relation": "isIdenticalTo", "scheme": "urn"}], "version": "RAW DATA", "language": "fra", "license": "cc-by-4.0", "imprint_publisher": "Zenodo", "communities": [{"identifier": "uav"}], "notes": "<p></p><div class=\"ui message warning\">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br>", "upload_type": "dataset", "prereserve_doi": {"doi": "10.5281/zenodo.8432895", "recid": 8432895}}, "title": "Images drone UAV, Surprise, Mayotte - 20220912", "links": {"self": "https://zenodo.org/api/records/8432895", "html": "https://zenodo.org/records/8432895", "doi": "https://doi.org/10.5281/zenodo.8432895", "parent_doi": "https://zenodo.org/doi/10.5281/zenodo.8432894", "badge": "https://zenodo.org/badge/doi/10.5281%2Fzenodo.8432895.svg", "conceptbadge": "https://zenodo.org/badge/doi/10.5281%2Fzenodo.8432894.svg", "files": "https://zenodo.org/api/records/8432895/files", "bucket": "https://zenodo.org/api/files/bb8cf1aa-4dfc-4fa4-bcc6-f420f46adc82", "thumb250": "https://zenodo.org/record/8432895/thumb250", "thumbs": {"10": "https://zenodo.org/record/8432895/thumb10", "50": "https://zenodo.org/record/8432895/thumb50", "100": "https://zenodo.org/record/8432895/thumb100", "250": "https://zenodo.org/record/8432895/thumb250", "750": "https://zenodo.org/record/8432895/thumb750", "1200": "https://zenodo.org/record/8432895/thumb1200"}, "latest_draft": "https://zenodo.org/api/deposit/depositions/8432895", "latest_draft_html": "https://zenodo.org/deposit/8432895", "publish": "https://zenodo.org/api/deposit/depositions/8432895/actions/publish", "edit": "https://zenodo.org/api/deposit/depositions/8432895/actions/edit", "discard": "https://zenodo.org/api/deposit/depositions/8432895/actions/discard", "newversion": "https://zenodo.org/api/deposit/depositions/8432895/actions/newversion", "registerconceptdoi": "https://zenodo.org/api/deposit/depositions/8432895/actions/registerconceptdoi", "record": "https://zenodo.org/api/records/8432895", "record_html": "https://zenodo.org/record/8432895", "latest": "https://zenodo.org/api/records/8432895/versions/latest", "latest_html": "https://zenodo.org/record/8432895/versions/latest"}, "record_id": 8432895, "owner": 601426, "files": [{"id": "8c37abdb-fb9c-49af-a3bd-acbbb6b43de1", "filename": "00_sample_rawdata_overview.png", "filesize": 555549, "checksum": "e7d2e092d25d8b795fcd11463532fc5e", "links": {"self": "https://zenodo.org/api/records/8432895/files/8c37abdb-fb9c-49af-a3bd-acbbb6b43de1", "download": "https://zenodo.org/api/records/8432895/draft/files/00_sample_rawdata_overview.png/content"}}, {"id": "0cb57559-0bff-4dd8-84e1-b33332c8d321", "filename": "DCIM.zip", "filesize": 2494058102, "checksum": "f8d235e6e71468d5503e067e56df969a", "links": {"self": "https://zenodo.org/api/records/8432895/files/0cb57559-0bff-4dd8-84e1-b33332c8d321", "download": "https://zenodo.org/api/records/8432895/draft/files/DCIM.zip/content"}}, {"id": "d3e14aee-8f8e-485f-8d21-2a29feb4a352", "filename": "GPS.zip", "filesize": 6443546, "checksum": "a6b75b15517068d77a83496224e3117a", "links": {"self": "https://zenodo.org/api/records/8432895/files/d3e14aee-8f8e-485f-8d21-2a29feb4a352", "download": "https://zenodo.org/api/records/8432895/draft/files/GPS.zip/content"}}, {"id": "ff0296ec-6867-40b2-8213-fbcdb37db6a7", "filename": "METADATA.zip", "filesize": 11310108, "checksum": "2f78dcf2bc338ad213041d25ba19844b", "links": {"self": "https://zenodo.org/api/records/8432895/files/ff0296ec-6867-40b2-8213-fbcdb37db6a7", "download": "https://zenodo.org/api/records/8432895/draft/files/METADATA.zip/content"}}], "state": "done", "submitted": true}
Dataset: 5 / 17
id:20220911_MYT-jollyroger_UAV-02_1_
doi:10.5281/zenodo.8436204_
conceptdoi:10.5281/zenodo.8436203
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{'metadata': {'title': 'Images drone UAV, Jollyroger, Mayotte - 20220911', 'publication_date': '2023-10-11', 'description': '"Jeu de données composé d’images de drone DJI Mavic 2 Pro UAV acquises sur le site de Jollyroger, Mayotte à la date suivante : 20220911.\n<br />\n<br />Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l’objectif de la mission vise à étudier l’implantation de récifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace aérien contrôlé, les vols ont été exécutés en regard de la réglmentation et en contact avec la tour de contrôle de l\'aéroport de Mayotte. \n<br />\n<br />\n<br /><b>Le dépôt est composé des éléments suivants:</b>\n<br /> - 00_: Planche d\'aperçu des images\n<br /> - DCIM.zip: Images brutes issues du drone\n<br /> - GPS.zip: Geopackage contenant l’emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d’attribut en base64\n<br /> - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br />\n<br /><b>Arborescence d\'origine:</b>\n<br />└─ 20220911_MYT-jollyroger_UAV-02_1\n<br /> └─ DCIM\n<br /> └─ mer\n<br /> └─ GPS\n<br /> └─ METADATA\n<br /> └─ tb\n<br />\n<br /><b>Informations de survol:</b>\n<br />Différentes hauteurs de vols, angles des transects et angles de caméra ont été utilisés dans le but d\'obtenir des données de qualité en fonction des conditions météorologiques et marines.\n<br />- Camera model and parameters:\n<br /> Make: Hasselblad\n<br /> Model: L1D-20c\n<br /> Width: 5472\n<br /> Height: 3648\n<br /> Focal: 28\n<br /> WhiteBalance: Manual\n<br /> ExposureMode: Auto Exposure\n<br /> ColoSpace: sRGB\n<br /> EV: -0.7\n<br /> MeteringMode: CenterWeightedAverage\n<br /> Camera Pitch: -89.90\n<br />\n<br />- Survey informations:\n<br /> No Images: 349\n<br /> Median height: 70 meters\n<br /> Survey area: 9.22 hectares\n<br /> Survey from: 2022:09:11 08:37:19 to: 2022:09:11 08:55:09\n<br />\n<br />Les dépôts suivants comprennent les données traitées avec OpenDroneMap"', 'access_right': 'open', 'notes': '<p></p><div class="ui message warning">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br /><img src="https://github.com/IRDG2OI/geoflow-g2oi/raw/main/img/logos_partenaires.png?raw=True">', 'creators': [{'orcid': '0009-0005-9789-9095', 'name': 'Sylvain Poulain', 'affiliation': 'Institut de recherche pour le développement (IRD), MARBEC Research Unit'}, {'orcid': '0000-0002-2592-8409', 'name': 'Isabel Urbina-Barreto', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR ENTROPIE'}, {'orcid': '0000-0002-3519-6141', 'name': 'Julien Barde', 'affiliation': 'IRD, UMR MARBEC'}, {'orcid': '0000-0003-2385-3682', 'name': 'Aline Tribollet', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR LOCEAN'}, {'orcid': '0000-0003-4707-8932', 'name': 'François Guilhaumon', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR ENTROPIE'}], 'keywords': ['Future Maore Reef', 'drone', 'lagon', 'corail', 'reef'], 'related_identifiers': [{'identifier': 'urn:20220911_MYT-jollyroger_UAV-02_1', 'relation': 'isIdenticalTo', 'scheme': 'urn'}], 'version': 'RAW DATA', 'language': 'fra', 'license': 'cc-by-4.0', 'imprint_publisher': 'Zenodo', 'upload_type': 'dataset', 'communities': [{'identifier': 'umr-entropie'}]}}
<Response [200]>
Publish record
{"created": "2023-10-12T20:51:40.145390+00:00", "modified": "2023-12-01T07:28:26.900810+00:00", "id": 8436204, "conceptrecid": "8436203", "doi": "10.5281/zenodo.8436204", "conceptdoi": "10.5281/zenodo.8436203", "doi_url": "https://doi.org/10.5281/zenodo.8436204", "metadata": {"title": "Images drone UAV, Jollyroger, Mayotte - 20220911", "doi": "10.5281/zenodo.8436204", "publication_date": "2023-10-11", "description": "\"Jeu de donn\u00e9es compos\u00e9 d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Jollyroger, Mayotte \u00e0 la date suivante : 20220911.\n<br>\n<br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise \u00e0 \u00e9tudier l'implantation de r\u00e9cifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace a\u00e9rien contr\u00f4l\u00e9, les vols ont \u00e9t\u00e9 ex\u00e9cut\u00e9s en regard de la r\u00e9glmentation et en contact avec la tour de contr\u00f4le de l'a\u00e9roport de Mayotte. \n<br>\n<br>\n<br><b>Le d\u00e9p\u00f4t est compos\u00e9 des \u00e9l\u00e9ments suivants:</b>\n<br> - 00_: Planche d'aper\u00e7u des images\n<br> - DCIM.zip: Images brutes issues du drone\n<br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la g\u00e9olocalisation des images accompagn\u00e9es de leurs miniatures dans la table d'attribut en base64\n<br> - METADATA.zip: M\u00e9tadonn\u00e9es au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br>\n<br><b>Arborescence d'origine:</b>\n<br>\u2514\u2500 20220911_MYT-jollyroger_UAV-02_1\n<br> \u2514\u2500 DCIM\n<br> \u2514\u2500 mer\n<br> \u2514\u2500 GPS\n<br> \u2514\u2500 METADATA\n<br> \u2514\u2500 tb\n<br>\n<br><b>Informations de survol:</b>\n<br>Diff\u00e9rentes hauteurs de vols, angles des transects et angles de cam\u00e9ra ont \u00e9t\u00e9 utilis\u00e9s dans le but d'obtenir des donn\u00e9es de qualit\u00e9 en fonction des conditions m\u00e9t\u00e9orologiques et marines.\n<br>- Camera model and parameters:\n<br> Make: Hasselblad\n<br> Model: L1D-20c\n<br> Width: 5472\n<br> Height: 3648\n<br> Focal: 28\n<br> WhiteBalance: Manual\n<br> ExposureMode: Auto Exposure\n<br> ColoSpace: sRGB\n<br> EV: -0.7\n<br> MeteringMode: CenterWeightedAverage\n<br> Camera Pitch: -89.90\n<br>\n<br>- Survey informations:\n<br> No Images: 349\n<br> Median height: 70 meters\n<br> Survey area: 9.22 hectares\n<br> Survey from: 2022:09:11 08:37:19 to: 2022:09:11 08:55:09\n<br>\n<br>Les d\u00e9p\u00f4ts suivants comprennent les donn\u00e9es trait\u00e9es avec OpenDroneMap\"", "access_right": "open", "creators": [{"name": "Sylvain Poulain", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), MARBEC Research Unit", "orcid": "0009-0005-9789-9095"}, {"name": "Isabel Urbina-Barreto", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), UMR ENTROPIE", "orcid": "0000-0002-2592-8409"}, {"name": "Julien Barde", "affiliation": "IRD, UMR MARBEC", "orcid": "0000-0002-3519-6141"}, {"name": "Aline Tribollet", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), UMR LOCEAN", "orcid": "0000-0003-2385-3682"}, {"name": "Fran\u00e7ois Guilhaumon", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), UMR ENTROPIE", "orcid": "0000-0003-4707-8932"}], "keywords": ["Future Maore Reef", "drone", "lagon", "corail", "reef"], "related_identifiers": [{"identifier": "urn:20220911_MYT-jollyroger_UAV-02_1", "relation": "isIdenticalTo", "scheme": "urn"}], "version": "RAW DATA", "language": "fra", "license": "cc-by-4.0", "imprint_publisher": "Zenodo", "communities": [{"identifier": "uav"}], "notes": "<p></p><div class=\"ui message warning\">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br>", "upload_type": "dataset", "prereserve_doi": {"doi": "10.5281/zenodo.8436204", "recid": 8436204}}, "title": "Images drone UAV, Jollyroger, Mayotte - 20220911", "links": {"self": "https://zenodo.org/api/records/8436204", "html": "https://zenodo.org/records/8436204", "doi": "https://doi.org/10.5281/zenodo.8436204", "parent_doi": "https://zenodo.org/doi/10.5281/zenodo.8436203", "badge": "https://zenodo.org/badge/doi/10.5281%2Fzenodo.8436204.svg", "conceptbadge": "https://zenodo.org/badge/doi/10.5281%2Fzenodo.8436203.svg", "files": "https://zenodo.org/api/records/8436204/files", "bucket": "https://zenodo.org/api/files/63b85661-1fd7-4a27-a295-92cdf1b6a8db", "thumb250": "https://zenodo.org/record/8436204/thumb250", "thumbs": {"10": "https://zenodo.org/record/8436204/thumb10", "50": "https://zenodo.org/record/8436204/thumb50", "100": "https://zenodo.org/record/8436204/thumb100", "250": "https://zenodo.org/record/8436204/thumb250", "750": "https://zenodo.org/record/8436204/thumb750", "1200": "https://zenodo.org/record/8436204/thumb1200"}, "latest_draft": "https://zenodo.org/api/deposit/depositions/8436204", "latest_draft_html": "https://zenodo.org/deposit/8436204", "publish": "https://zenodo.org/api/deposit/depositions/8436204/actions/publish", "edit": "https://zenodo.org/api/deposit/depositions/8436204/actions/edit", "discard": "https://zenodo.org/api/deposit/depositions/8436204/actions/discard", "newversion": "https://zenodo.org/api/deposit/depositions/8436204/actions/newversion", "registerconceptdoi": "https://zenodo.org/api/deposit/depositions/8436204/actions/registerconceptdoi", "record": "https://zenodo.org/api/records/8436204", "record_html": "https://zenodo.org/record/8436204", "latest": "https://zenodo.org/api/records/8436204/versions/latest", "latest_html": "https://zenodo.org/record/8436204/versions/latest"}, "record_id": 8436204, "owner": 601426, "files": [{"id": "d0ffe6e4-be69-42de-b848-3454698ca736", "filename": "00_sample_rawdata_overview.png", "filesize": 606275, "checksum": "b2c23c7f67940b140b93fb2ca25efd42", "links": {"self": "https://zenodo.org/api/records/8436204/files/d0ffe6e4-be69-42de-b848-3454698ca736", "download": "https://zenodo.org/api/records/8436204/draft/files/00_sample_rawdata_overview.png/content"}}, {"id": "1e8a788f-e122-427c-a08f-a2e6f6d36b89", "filename": "DCIM.zip", "filesize": 4357171430, "checksum": "b54b63ff46e21d76220f97c3779c8213", "links": {"self": "https://zenodo.org/api/records/8436204/files/1e8a788f-e122-427c-a08f-a2e6f6d36b89", "download": "https://zenodo.org/api/records/8436204/draft/files/DCIM.zip/content"}}, {"id": "0bd2bc4e-32e6-40fb-8706-2c23b0e1617f", "filename": "GPS.zip", "filesize": 7404324, "checksum": "67917c3e436a9c5b9212653d5e3ecdc5", "links": {"self": "https://zenodo.org/api/records/8436204/files/0bd2bc4e-32e6-40fb-8706-2c23b0e1617f", "download": "https://zenodo.org/api/records/8436204/draft/files/GPS.zip/content"}}, {"id": "1880417a-ee85-4b1a-8904-522121ee0ca0", "filename": "METADATA.zip", "filesize": 13781601, "checksum": "124a319bff4da9803c92d7e6c33e6d9d", "links": {"self": "https://zenodo.org/api/records/8436204/files/1880417a-ee85-4b1a-8904-522121ee0ca0", "download": "https://zenodo.org/api/records/8436204/draft/files/METADATA.zip/content"}}], "state": "done", "submitted": true}
Dataset: 6 / 17
id:20220911_MYT-aeroport_UAV-02_1_
doi:10.5281/zenodo.8436216_
conceptdoi:10.5281/zenodo.8436215
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{'metadata': {'title': 'Images drone UAV, Aeroport, Mayotte - 20220911', 'publication_date': '2023-10-11', 'description': '"Jeu de données composé d’images de drone DJI Mavic 2 Pro UAV acquises sur le site de Aeroport, Mayotte à la date suivante : 20220911.\n<br />\n<br />Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l’objectif de la mission vise à étudier l’implantation de récifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace aérien contrôlé, les vols ont été exécutés en regard de la réglmentation et en contact avec la tour de contrôle de l\'aéroport de Mayotte. \n<br />\n<br />\n<br /><b>Le dépôt est composé des éléments suivants:</b>\n<br /> - 00_: Planche d\'aperçu des images\n<br /> - DCIM.zip: Images brutes issues du drone\n<br /> - GPS.zip: Geopackage contenant l’emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d’attribut en base64\n<br /> - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br />\n<br /><b>Arborescence d\'origine:</b>\n<br />└─ 20220911_MYT-aeroport_UAV-02_1\n<br /> └─ DCIM\n<br /> └─ GPS\n<br /> └─ METADATA\n<br /> └─ tb\n<br />\n<br /><b>Informations de survol:</b>\n<br />Différentes hauteurs de vols, angles des transects et angles de caméra ont été utilisés dans le but d\'obtenir des données de qualité en fonction des conditions météorologiques et marines.\n<br />- Camera model and parameters:\n<br /> Make: Hasselblad\n<br /> Model: L1D-20c\n<br /> Width: 5472\n<br /> Height: 3648\n<br /> Focal: 28\n<br /> WhiteBalance: Manual\n<br /> ExposureMode: Auto Exposure\n<br /> ColoSpace: sRGB\n<br /> EV: -0.7\n<br /> MeteringMode: CenterWeightedAverage\n<br /> Camera Pitch: -90.00\n<br />\n<br />- Survey informations:\n<br /> No Images: 390\n<br /> Median height: 75 meters\n<br /> Survey area: 10.3 hectares\n<br /> Survey from: 2022:09:11 14:18:26 to: 2022:09:11 14:33:31\n<br />\n<br />Les dépôts suivants comprennent les données traitées avec OpenDroneMap"', 'access_right': 'open', 'notes': '<p></p><div class="ui message warning">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br /><img src="https://github.com/IRDG2OI/geoflow-g2oi/raw/main/img/logos_partenaires.png?raw=True">', 'creators': [{'orcid': '0009-0005-9789-9095', 'name': 'Sylvain Poulain', 'affiliation': 'Institut de recherche pour le développement (IRD), MARBEC Research Unit'}, {'orcid': '0000-0002-2592-8409', 'name': 'Isabel Urbina-Barreto', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR ENTROPIE'}, {'orcid': '0000-0002-3519-6141', 'name': 'Julien Barde', 'affiliation': 'IRD, UMR MARBEC'}, {'orcid': '0000-0003-2385-3682', 'name': 'Aline Tribollet', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR LOCEAN'}, {'orcid': '0000-0003-4707-8932', 'name': 'François Guilhaumon', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR ENTROPIE'}], 'keywords': ['Future Maore Reef', 'drone', 'lagon', 'corail', 'reef'], 'related_identifiers': [{'identifier': 'urn:20220911_MYT-aeroport_UAV-02_1', 'relation': 'isIdenticalTo', 'scheme': 'urn'}], 'version': 'RAW DATA', 'language': 'fra', 'license': 'cc-by-4.0', 'imprint_publisher': 'Zenodo', 'upload_type': 'dataset', 'communities': [{'identifier': 'umr-entropie'}]}}
<Response [200]>
Publish record
{"created": "2023-10-12T20:51:48.162751+00:00", "modified": "2023-12-01T07:28:54.848008+00:00", "id": 8436216, "conceptrecid": "8436215", "doi": "10.5281/zenodo.8436216", "conceptdoi": "10.5281/zenodo.8436215", "doi_url": "https://doi.org/10.5281/zenodo.8436216", "metadata": {"title": "Images drone UAV, Aeroport, Mayotte - 20220911", "doi": "10.5281/zenodo.8436216", "publication_date": "2023-10-11", "description": "\"Jeu de donn\u00e9es compos\u00e9 d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Aeroport, Mayotte \u00e0 la date suivante : 20220911.\n<br>\n<br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise \u00e0 \u00e9tudier l'implantation de r\u00e9cifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace a\u00e9rien contr\u00f4l\u00e9, les vols ont \u00e9t\u00e9 ex\u00e9cut\u00e9s en regard de la r\u00e9glmentation et en contact avec la tour de contr\u00f4le de l'a\u00e9roport de Mayotte. \n<br>\n<br>\n<br><b>Le d\u00e9p\u00f4t est compos\u00e9 des \u00e9l\u00e9ments suivants:</b>\n<br> - 00_: Planche d'aper\u00e7u des images\n<br> - DCIM.zip: Images brutes issues du drone\n<br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la g\u00e9olocalisation des images accompagn\u00e9es de leurs miniatures dans la table d'attribut en base64\n<br> - METADATA.zip: M\u00e9tadonn\u00e9es au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br>\n<br><b>Arborescence d'origine:</b>\n<br>\u2514\u2500 20220911_MYT-aeroport_UAV-02_1\n<br> \u2514\u2500 DCIM\n<br> \u2514\u2500 GPS\n<br> \u2514\u2500 METADATA\n<br> \u2514\u2500 tb\n<br>\n<br><b>Informations de survol:</b>\n<br>Diff\u00e9rentes hauteurs de vols, angles des transects et angles de cam\u00e9ra ont \u00e9t\u00e9 utilis\u00e9s dans le but d'obtenir des donn\u00e9es de qualit\u00e9 en fonction des conditions m\u00e9t\u00e9orologiques et marines.\n<br>- Camera model and parameters:\n<br> Make: Hasselblad\n<br> Model: L1D-20c\n<br> Width: 5472\n<br> Height: 3648\n<br> Focal: 28\n<br> WhiteBalance: Manual\n<br> ExposureMode: Auto Exposure\n<br> ColoSpace: sRGB\n<br> EV: -0.7\n<br> MeteringMode: CenterWeightedAverage\n<br> Camera Pitch: -90.00\n<br>\n<br>- Survey informations:\n<br> No Images: 390\n<br> Median height: 75 meters\n<br> Survey area: 10.3 hectares\n<br> Survey from: 2022:09:11 14:18:26 to: 2022:09:11 14:33:31\n<br>\n<br>Les d\u00e9p\u00f4ts suivants comprennent les donn\u00e9es trait\u00e9es avec OpenDroneMap\"", "access_right": "open", "creators": [{"name": "Sylvain Poulain", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), MARBEC Research Unit", "orcid": "0009-0005-9789-9095"}, {"name": "Isabel Urbina-Barreto", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), UMR ENTROPIE", "orcid": "0000-0002-2592-8409"}, {"name": "Julien Barde", "affiliation": "IRD, UMR MARBEC", "orcid": "0000-0002-3519-6141"}, {"name": "Aline Tribollet", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), UMR LOCEAN", "orcid": "0000-0003-2385-3682"}, {"name": "Fran\u00e7ois Guilhaumon", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), UMR ENTROPIE", "orcid": "0000-0003-4707-8932"}], "keywords": ["Future Maore Reef", "drone", "lagon", "corail", "reef"], "related_identifiers": [{"identifier": "urn:20220911_MYT-aeroport_UAV-02_1", "relation": "isIdenticalTo", "scheme": "urn"}], "version": "RAW DATA", "language": "fra", "license": "cc-by-4.0", "imprint_publisher": "Zenodo", "communities": [{"identifier": "uav"}], "notes": "<p></p><div class=\"ui message warning\">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br>", "upload_type": "dataset", "prereserve_doi": {"doi": "10.5281/zenodo.8436216", "recid": 8436216}}, "title": "Images drone UAV, Aeroport, Mayotte - 20220911", "links": {"self": "https://zenodo.org/api/records/8436216", "html": "https://zenodo.org/records/8436216", "doi": "https://doi.org/10.5281/zenodo.8436216", "parent_doi": "https://zenodo.org/doi/10.5281/zenodo.8436215", "badge": "https://zenodo.org/badge/doi/10.5281%2Fzenodo.8436216.svg", "conceptbadge": "https://zenodo.org/badge/doi/10.5281%2Fzenodo.8436215.svg", "files": "https://zenodo.org/api/records/8436216/files", "bucket": "https://zenodo.org/api/files/9db76baa-d182-45ab-82af-87533deab5e8", "thumb250": "https://zenodo.org/record/8436216/thumb250", "thumbs": {"10": "https://zenodo.org/record/8436216/thumb10", "50": "https://zenodo.org/record/8436216/thumb50", "100": "https://zenodo.org/record/8436216/thumb100", "250": "https://zenodo.org/record/8436216/thumb250", "750": "https://zenodo.org/record/8436216/thumb750", "1200": "https://zenodo.org/record/8436216/thumb1200"}, "latest_draft": "https://zenodo.org/api/deposit/depositions/8436216", "latest_draft_html": "https://zenodo.org/deposit/8436216", "publish": "https://zenodo.org/api/deposit/depositions/8436216/actions/publish", "edit": "https://zenodo.org/api/deposit/depositions/8436216/actions/edit", "discard": "https://zenodo.org/api/deposit/depositions/8436216/actions/discard", "newversion": "https://zenodo.org/api/deposit/depositions/8436216/actions/newversion", "registerconceptdoi": "https://zenodo.org/api/deposit/depositions/8436216/actions/registerconceptdoi", "record": "https://zenodo.org/api/records/8436216", "record_html": "https://zenodo.org/record/8436216", "latest": "https://zenodo.org/api/records/8436216/versions/latest", "latest_html": "https://zenodo.org/record/8436216/versions/latest"}, "record_id": 8436216, "owner": 601426, "files": [{"id": "c83bffb3-7913-4374-be6f-f8abf06964bb", "filename": "00_sample_rawdata_overview.png", "filesize": 634721, "checksum": "7980a5a3e20223c7098e23e81f00d073", "links": {"self": "https://zenodo.org/api/records/8436216/files/c83bffb3-7913-4374-be6f-f8abf06964bb", "download": "https://zenodo.org/api/records/8436216/draft/files/00_sample_rawdata_overview.png/content"}}, {"id": "23cf3ba0-a396-45c9-a376-1560bde9afc0", "filename": "DCIM.zip", "filesize": 2983653696, "checksum": "6a8ac7e63040ee7e3a11ed14e627031b", "links": {"self": "https://zenodo.org/api/records/8436216/files/23cf3ba0-a396-45c9-a376-1560bde9afc0", "download": "https://zenodo.org/api/records/8436216/draft/files/DCIM.zip/content"}}, {"id": "17db56d6-e5db-43c7-8f6b-f382b303e9c4", "filename": "GPS.zip", "filesize": 8247296, "checksum": "07f271d329eefe6a78cc65d31ec88ca5", "links": {"self": "https://zenodo.org/api/records/8436216/files/17db56d6-e5db-43c7-8f6b-f382b303e9c4", "download": "https://zenodo.org/api/records/8436216/draft/files/GPS.zip/content"}}, {"id": "5da46340-9ee9-438b-8dc2-4ad3c3f09553", "filename": "METADATA.zip", "filesize": 16236567, "checksum": "5b02775b6f53b15cd2238df034aaa5d4", "links": {"self": "https://zenodo.org/api/records/8436216/files/5da46340-9ee9-438b-8dc2-4ad3c3f09553", "download": "https://zenodo.org/api/records/8436216/draft/files/METADATA.zip/content"}}], "state": "done", "submitted": true}
Dataset: 7 / 17
id:20220912_MYT-surprise_UAV-02_3_
doi:10.5281/zenodo.8436221_
conceptdoi:10.5281/zenodo.8436220
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{'metadata': {'title': 'Images drone UAV, Surprise, Mayotte - 20220912', 'publication_date': '2023-10-11', 'description': '"Jeu de données composé d’images de drone DJI Mavic 2 Pro UAV acquises sur le site de Surprise, Mayotte à la date suivante : 20220912.\n<br />\n<br />Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l’objectif de la mission vise à étudier l’implantation de récifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace aérien contrôlé, les vols ont été exécutés en regard de la réglmentation et en contact avec la tour de contrôle de l\'aéroport de Mayotte. \n<br />\n<br />\n<br /><b>Le dépôt est composé des éléments suivants:</b>\n<br /> - 00_: Planche d\'aperçu des images\n<br /> - DCIM.zip: Images brutes issues du drone\n<br /> - GPS.zip: Geopackage contenant l’emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d’attribut en base64\n<br /> - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br />\n<br /><b>Arborescence d\'origine:</b>\n<br />└─ 20220912_MYT-surprise_UAV-02_3\n<br /> └─ DCIM\n<br /> └─ GPS\n<br /> └─ METADATA\n<br /> └─ tb\n<br />\n<br /><b>Informations de survol:</b>\n<br />Différentes hauteurs de vols, angles des transects et angles de caméra ont été utilisés dans le but d\'obtenir des données de qualité en fonction des conditions météorologiques et marines.\n<br />- Camera model and parameters:\n<br /> Make: Hasselblad\n<br /> Model: L1D-20c\n<br /> Width: 5472\n<br /> Height: 3648\n<br /> Focal: 28\n<br /> WhiteBalance: Manual\n<br /> ExposureMode: Auto Exposure\n<br /> ColoSpace: sRGB\n<br /> EV: -0.7\n<br /> MeteringMode: CenterWeightedAverage\n<br /> Camera Pitch: -75.00\n<br />\n<br />- Survey informations:\n<br /> No Images: 385\n<br /> Median height: 70 meters\n<br /> Survey area: 8.11 hectares\n<br /> Survey from: 2022:09:12 14:29:06 to: 2022:09:12 14:43:35\n<br />\n<br />Les dépôts suivants comprennent les données traitées avec OpenDroneMap"', 'access_right': 'open', 'notes': '<p></p><div class="ui message warning">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br /><img src="https://github.com/IRDG2OI/geoflow-g2oi/raw/main/img/logos_partenaires.png?raw=True">', 'creators': [{'orcid': '0009-0005-9789-9095', 'name': 'Sylvain Poulain', 'affiliation': 'Institut de recherche pour le développement (IRD), MARBEC Research Unit'}, {'orcid': '0000-0002-2592-8409', 'name': 'Isabel Urbina-Barreto', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR ENTROPIE'}, {'orcid': '0000-0002-3519-6141', 'name': 'Julien Barde', 'affiliation': 'IRD, UMR MARBEC'}, {'orcid': '0000-0003-2385-3682', 'name': 'Aline Tribollet', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR LOCEAN'}, {'orcid': '0000-0003-4707-8932', 'name': 'François Guilhaumon', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR ENTROPIE'}], 'keywords': ['Future Maore Reef', 'drone', 'lagon', 'corail', 'reef'], 'related_identifiers': [{'identifier': 'urn:20220912_MYT-surprise_UAV-02_3', 'relation': 'isIdenticalTo', 'scheme': 'urn'}], 'version': 'RAW DATA', 'language': 'fra', 'license': 'cc-by-4.0', 'imprint_publisher': 'Zenodo', 'upload_type': 'dataset', 'communities': [{'identifier': 'umr-entropie'}]}}
<Response [200]>
Publish record
{"created": "2023-10-12T20:51:58.246408+00:00", "modified": "2023-12-01T07:29:22.649605+00:00", "id": 8436221, "conceptrecid": "8436220", "doi": "10.5281/zenodo.8436221", "conceptdoi": "10.5281/zenodo.8436220", "doi_url": "https://doi.org/10.5281/zenodo.8436221", "metadata": {"title": "Images drone UAV, Surprise, Mayotte - 20220912", "doi": "10.5281/zenodo.8436221", "publication_date": "2023-10-11", "description": "\"Jeu de donn\u00e9es compos\u00e9 d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Surprise, Mayotte \u00e0 la date suivante : 20220912.\n<br>\n<br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise \u00e0 \u00e9tudier l'implantation de r\u00e9cifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace a\u00e9rien contr\u00f4l\u00e9, les vols ont \u00e9t\u00e9 ex\u00e9cut\u00e9s en regard de la r\u00e9glmentation et en contact avec la tour de contr\u00f4le de l'a\u00e9roport de Mayotte. \n<br>\n<br>\n<br><b>Le d\u00e9p\u00f4t est compos\u00e9 des \u00e9l\u00e9ments suivants:</b>\n<br> - 00_: Planche d'aper\u00e7u des images\n<br> - DCIM.zip: Images brutes issues du drone\n<br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la g\u00e9olocalisation des images accompagn\u00e9es de leurs miniatures dans la table d'attribut en base64\n<br> - METADATA.zip: M\u00e9tadonn\u00e9es au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br>\n<br><b>Arborescence d'origine:</b>\n<br>\u2514\u2500 20220912_MYT-surprise_UAV-02_3\n<br> \u2514\u2500 DCIM\n<br> \u2514\u2500 GPS\n<br> \u2514\u2500 METADATA\n<br> \u2514\u2500 tb\n<br>\n<br><b>Informations de survol:</b>\n<br>Diff\u00e9rentes hauteurs de vols, angles des transects et angles de cam\u00e9ra ont \u00e9t\u00e9 utilis\u00e9s dans le but d'obtenir des donn\u00e9es de qualit\u00e9 en fonction des conditions m\u00e9t\u00e9orologiques et marines.\n<br>- Camera model and parameters:\n<br> Make: Hasselblad\n<br> Model: L1D-20c\n<br> Width: 5472\n<br> Height: 3648\n<br> Focal: 28\n<br> WhiteBalance: Manual\n<br> ExposureMode: Auto Exposure\n<br> ColoSpace: sRGB\n<br> EV: -0.7\n<br> MeteringMode: CenterWeightedAverage\n<br> Camera Pitch: -75.00\n<br>\n<br>- Survey informations:\n<br> No Images: 385\n<br> Median height: 70 meters\n<br> Survey area: 8.11 hectares\n<br> Survey from: 2022:09:12 14:29:06 to: 2022:09:12 14:43:35\n<br>\n<br>Les d\u00e9p\u00f4ts suivants comprennent les donn\u00e9es trait\u00e9es avec OpenDroneMap\"", "access_right": "open", "creators": [{"name": "Sylvain Poulain", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), MARBEC Research Unit", "orcid": "0009-0005-9789-9095"}, {"name": "Isabel Urbina-Barreto", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), UMR ENTROPIE", "orcid": "0000-0002-2592-8409"}, {"name": "Julien Barde", "affiliation": "IRD, UMR MARBEC", "orcid": "0000-0002-3519-6141"}, {"name": "Aline Tribollet", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), UMR LOCEAN", "orcid": "0000-0003-2385-3682"}, {"name": "Fran\u00e7ois Guilhaumon", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), UMR ENTROPIE", "orcid": "0000-0003-4707-8932"}], "keywords": ["Future Maore Reef", "drone", "lagon", "corail", "reef"], "related_identifiers": [{"identifier": "urn:20220912_MYT-surprise_UAV-02_3", "relation": "isIdenticalTo", "scheme": "urn"}], "version": "RAW DATA", "language": "fra", "license": "cc-by-4.0", "imprint_publisher": "Zenodo", "communities": [{"identifier": "uav"}], "notes": "<p></p><div class=\"ui message warning\">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br>", "upload_type": "dataset", "prereserve_doi": {"doi": "10.5281/zenodo.8436221", "recid": 8436221}}, "title": "Images drone UAV, Surprise, Mayotte - 20220912", "links": {"self": "https://zenodo.org/api/records/8436221", "html": "https://zenodo.org/records/8436221", "doi": "https://doi.org/10.5281/zenodo.8436221", "parent_doi": "https://zenodo.org/doi/10.5281/zenodo.8436220", "badge": "https://zenodo.org/badge/doi/10.5281%2Fzenodo.8436221.svg", "conceptbadge": "https://zenodo.org/badge/doi/10.5281%2Fzenodo.8436220.svg", "files": "https://zenodo.org/api/records/8436221/files", "bucket": "https://zenodo.org/api/files/741d7c0d-56a0-43d7-a6de-398c5896419c", "thumb250": "https://zenodo.org/record/8436221/thumb250", "thumbs": {"10": "https://zenodo.org/record/8436221/thumb10", "50": "https://zenodo.org/record/8436221/thumb50", "100": "https://zenodo.org/record/8436221/thumb100", "250": "https://zenodo.org/record/8436221/thumb250", "750": "https://zenodo.org/record/8436221/thumb750", "1200": "https://zenodo.org/record/8436221/thumb1200"}, "latest_draft": "https://zenodo.org/api/deposit/depositions/8436221", "latest_draft_html": "https://zenodo.org/deposit/8436221", "publish": "https://zenodo.org/api/deposit/depositions/8436221/actions/publish", "edit": "https://zenodo.org/api/deposit/depositions/8436221/actions/edit", "discard": "https://zenodo.org/api/deposit/depositions/8436221/actions/discard", "newversion": "https://zenodo.org/api/deposit/depositions/8436221/actions/newversion", "registerconceptdoi": "https://zenodo.org/api/deposit/depositions/8436221/actions/registerconceptdoi", "record": "https://zenodo.org/api/records/8436221", "record_html": "https://zenodo.org/record/8436221", "latest": "https://zenodo.org/api/records/8436221/versions/latest", "latest_html": "https://zenodo.org/record/8436221/versions/latest"}, "record_id": 8436221, "owner": 601426, "files": [{"id": "66e6a1fb-e1ae-4c7c-aab5-f15e32d55504", "filename": "00_sample_rawdata_overview.png", "filesize": 550485, "checksum": "dd197ce6c0d40c6952beeb324fd9b89d", "links": {"self": "https://zenodo.org/api/records/8436221/files/66e6a1fb-e1ae-4c7c-aab5-f15e32d55504", "download": "https://zenodo.org/api/records/8436221/draft/files/00_sample_rawdata_overview.png/content"}}, {"id": "27fd1991-3062-4d67-bf88-06dccbc9e68c", "filename": "DCIM.zip", "filesize": 2636632428, "checksum": "a9afdd9b5889c4a5a5d928e37c389b6b", "links": {"self": "https://zenodo.org/api/records/8436221/files/27fd1991-3062-4d67-bf88-06dccbc9e68c", "download": "https://zenodo.org/api/records/8436221/draft/files/DCIM.zip/content"}}, {"id": "5dd2b34f-0745-420d-89a9-753f29e1c8c5", "filename": "GPS.zip", "filesize": 6727792, "checksum": "06ad8851da093d6e8e245956bf1fd405", "links": {"self": "https://zenodo.org/api/records/8436221/files/5dd2b34f-0745-420d-89a9-753f29e1c8c5", "download": "https://zenodo.org/api/records/8436221/draft/files/GPS.zip/content"}}, {"id": "9c48cc7d-d9a9-4af3-9e19-dd04fec8db4d", "filename": "METADATA.zip", "filesize": 11369591, "checksum": "855ad0eec99ba785968a8da9bbf46a4f", "links": {"self": "https://zenodo.org/api/records/8436221/files/9c48cc7d-d9a9-4af3-9e19-dd04fec8db4d", "download": "https://zenodo.org/api/records/8436221/draft/files/METADATA.zip/content"}}], "state": "done", "submitted": true}
Dataset: 8 / 17
id:20220914_MYT-ile-blanche_UAV-02_2_
doi:10.5281/zenodo.8436231_
conceptdoi:10.5281/zenodo.8436230
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{'metadata': {'title': 'Images drone UAV, Ile blanche, Mayotte - 20220914', 'publication_date': '2023-10-11', 'description': '"Jeu de données composé d’images de drone DJI Mavic 2 Pro UAV acquises sur le site de Ile blanche, Mayotte à la date suivante : 20220914.\n<br />\n<br />Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l’objectif de la mission vise à étudier l’implantation de récifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace aérien contrôlé, les vols ont été exécutés en regard de la réglmentation et en contact avec la tour de contrôle de l\'aéroport de Mayotte. \n<br />\n<br />\n<br /><b>Le dépôt est composé des éléments suivants:</b>\n<br /> - 00_: Planche d\'aperçu des images\n<br /> - DCIM.zip: Images brutes issues du drone\n<br /> - GPS.zip: Geopackage contenant l’emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d’attribut en base64\n<br /> - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br />\n<br /><b>Arborescence d\'origine:</b>\n<br />└─ 20220914_MYT-ile-blanche_UAV-02_2\n<br /> └─ DCIM\n<br /> └─ GPS\n<br /> └─ METADATA\n<br /> └─ tb\n<br />\n<br /><b>Informations de survol:</b>\n<br />Différentes hauteurs de vols, angles des transects et angles de caméra ont été utilisés dans le but d\'obtenir des données de qualité en fonction des conditions météorologiques et marines.\n<br />- Camera model and parameters:\n<br /> Make: Hasselblad\n<br /> Model: L1D-20c\n<br /> Width: 5472\n<br /> Height: 3648\n<br /> Focal: 28\n<br /> WhiteBalance: Manual\n<br /> ExposureMode: Auto Exposure\n<br /> ColoSpace: sRGB\n<br /> EV: -0.7\n<br /> MeteringMode: CenterWeightedAverage\n<br /> Camera Pitch: -75.00\n<br />\n<br />- Survey informations:\n<br /> No Images: 346\n<br /> Median height: 60 meters\n<br /> Survey area: 5.6 hectares\n<br /> Survey from: 2022:09:14 10:19:27 to: 2022:09:14 10:33:56\n<br />\n<br />Les dépôts suivants comprennent les données traitées avec OpenDroneMap"', 'access_right': 'open', 'notes': '<p></p><div class="ui message warning">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br /><img src="https://github.com/IRDG2OI/geoflow-g2oi/raw/main/img/logos_partenaires.png?raw=True">', 'creators': [{'orcid': '0009-0005-9789-9095', 'name': 'Sylvain Poulain', 'affiliation': 'Institut de recherche pour le développement (IRD), MARBEC Research Unit'}, {'orcid': '0000-0002-2592-8409', 'name': 'Isabel Urbina-Barreto', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR ENTROPIE'}, {'orcid': '0000-0002-3519-6141', 'name': 'Julien Barde', 'affiliation': 'IRD, UMR MARBEC'}, {'orcid': '0000-0003-2385-3682', 'name': 'Aline Tribollet', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR LOCEAN'}, {'orcid': '0000-0003-4707-8932', 'name': 'François Guilhaumon', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR ENTROPIE'}], 'keywords': ['Future Maore Reef', 'drone', 'lagon', 'corail', 'reef'], 'related_identifiers': [{'identifier': 'urn:20220914_MYT-ile-blanche_UAV-02_2', 'relation': 'isIdenticalTo', 'scheme': 'urn'}], 'version': 'RAW DATA', 'language': 'fra', 'license': 'cc-by-4.0', 'imprint_publisher': 'Zenodo', 'upload_type': 'dataset', 'communities': [{'identifier': 'umr-entropie'}]}}
<Response [200]>
Publish record
{"created": "2023-10-12T20:52:35.672552+00:00", "modified": "2023-12-01T07:29:49.921336+00:00", "id": 8436231, "conceptrecid": "8436230", "doi": "10.5281/zenodo.8436231", "conceptdoi": "10.5281/zenodo.8436230", "doi_url": "https://doi.org/10.5281/zenodo.8436231", "metadata": {"title": "Images drone UAV, Ile blanche, Mayotte - 20220914", "doi": "10.5281/zenodo.8436231", "publication_date": "2023-10-11", "description": "\"Jeu de donn\u00e9es compos\u00e9 d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Ile blanche, Mayotte \u00e0 la date suivante : 20220914.\n<br>\n<br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise \u00e0 \u00e9tudier l'implantation de r\u00e9cifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace a\u00e9rien contr\u00f4l\u00e9, les vols ont \u00e9t\u00e9 ex\u00e9cut\u00e9s en regard de la r\u00e9glmentation et en contact avec la tour de contr\u00f4le de l'a\u00e9roport de Mayotte. \n<br>\n<br>\n<br><b>Le d\u00e9p\u00f4t est compos\u00e9 des \u00e9l\u00e9ments suivants:</b>\n<br> - 00_: Planche d'aper\u00e7u des images\n<br> - DCIM.zip: Images brutes issues du drone\n<br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la g\u00e9olocalisation des images accompagn\u00e9es de leurs miniatures dans la table d'attribut en base64\n<br> - METADATA.zip: M\u00e9tadonn\u00e9es au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br>\n<br><b>Arborescence d'origine:</b>\n<br>\u2514\u2500 20220914_MYT-ile-blanche_UAV-02_2\n<br> \u2514\u2500 DCIM\n<br> \u2514\u2500 GPS\n<br> \u2514\u2500 METADATA\n<br> \u2514\u2500 tb\n<br>\n<br><b>Informations de survol:</b>\n<br>Diff\u00e9rentes hauteurs de vols, angles des transects et angles de cam\u00e9ra ont \u00e9t\u00e9 utilis\u00e9s dans le but d'obtenir des donn\u00e9es de qualit\u00e9 en fonction des conditions m\u00e9t\u00e9orologiques et marines.\n<br>- Camera model and parameters:\n<br> Make: Hasselblad\n<br> Model: L1D-20c\n<br> Width: 5472\n<br> Height: 3648\n<br> Focal: 28\n<br> WhiteBalance: Manual\n<br> ExposureMode: Auto Exposure\n<br> ColoSpace: sRGB\n<br> EV: -0.7\n<br> MeteringMode: CenterWeightedAverage\n<br> Camera Pitch: -75.00\n<br>\n<br>- Survey informations:\n<br> No Images: 346\n<br> Median height: 60 meters\n<br> Survey area: 5.6 hectares\n<br> Survey from: 2022:09:14 10:19:27 to: 2022:09:14 10:33:56\n<br>\n<br>Les d\u00e9p\u00f4ts suivants comprennent les donn\u00e9es trait\u00e9es avec OpenDroneMap\"", "access_right": "open", "creators": [{"name": "Sylvain Poulain", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), MARBEC Research Unit", "orcid": "0009-0005-9789-9095"}, {"name": "Isabel Urbina-Barreto", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), UMR ENTROPIE", "orcid": "0000-0002-2592-8409"}, {"name": "Julien Barde", "affiliation": "IRD, UMR MARBEC", "orcid": "0000-0002-3519-6141"}, {"name": "Aline Tribollet", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), UMR LOCEAN", "orcid": "0000-0003-2385-3682"}, {"name": "Fran\u00e7ois Guilhaumon", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), UMR ENTROPIE", "orcid": "0000-0003-4707-8932"}], "keywords": ["Future Maore Reef", "drone", "lagon", "corail", "reef"], "related_identifiers": [{"identifier": "urn:20220914_MYT-ile-blanche_UAV-02_2", "relation": "isIdenticalTo", "scheme": "urn"}], "version": "RAW DATA", "language": "fra", "license": "cc-by-4.0", "imprint_publisher": "Zenodo", "communities": [{"identifier": "uav"}], "notes": "<p></p><div class=\"ui message warning\">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br>", "upload_type": "dataset", "prereserve_doi": {"doi": "10.5281/zenodo.8436231", "recid": 8436231}}, "title": "Images drone UAV, Ile blanche, Mayotte - 20220914", "links": {"self": "https://zenodo.org/api/records/8436231", "html": "https://zenodo.org/records/8436231", "doi": "https://doi.org/10.5281/zenodo.8436231", "parent_doi": "https://zenodo.org/doi/10.5281/zenodo.8436230", "badge": "https://zenodo.org/badge/doi/10.5281%2Fzenodo.8436231.svg", "conceptbadge": "https://zenodo.org/badge/doi/10.5281%2Fzenodo.8436230.svg", "files": "https://zenodo.org/api/records/8436231/files", "bucket": "https://zenodo.org/api/files/0a773a9a-540b-4d79-a9d6-687def5860ec", "thumb250": "https://zenodo.org/record/8436231/thumb250", "thumbs": {"10": "https://zenodo.org/record/8436231/thumb10", "50": "https://zenodo.org/record/8436231/thumb50", "100": "https://zenodo.org/record/8436231/thumb100", "250": "https://zenodo.org/record/8436231/thumb250", "750": "https://zenodo.org/record/8436231/thumb750", "1200": "https://zenodo.org/record/8436231/thumb1200"}, "latest_draft": "https://zenodo.org/api/deposit/depositions/8436231", "latest_draft_html": "https://zenodo.org/deposit/8436231", "publish": "https://zenodo.org/api/deposit/depositions/8436231/actions/publish", "edit": "https://zenodo.org/api/deposit/depositions/8436231/actions/edit", "discard": "https://zenodo.org/api/deposit/depositions/8436231/actions/discard", "newversion": "https://zenodo.org/api/deposit/depositions/8436231/actions/newversion", "registerconceptdoi": "https://zenodo.org/api/deposit/depositions/8436231/actions/registerconceptdoi", "record": "https://zenodo.org/api/records/8436231", "record_html": "https://zenodo.org/record/8436231", "latest": "https://zenodo.org/api/records/8436231/versions/latest", "latest_html": "https://zenodo.org/record/8436231/versions/latest"}, "record_id": 8436231, "owner": 601426, "files": [{"id": "901640be-b53e-420a-b3b3-d88cf06909dd", "filename": "00_sample_rawdata_overview.png", "filesize": 692650, "checksum": "b38e868bcaf751226fd0ba70fd2d07aa", "links": {"self": "https://zenodo.org/api/records/8436231/files/901640be-b53e-420a-b3b3-d88cf06909dd", "download": "https://zenodo.org/api/records/8436231/draft/files/00_sample_rawdata_overview.png/content"}}, {"id": "7624a0a6-6b6a-4cb8-8934-aa58b1afb9de", "filename": "DCIM.zip", "filesize": 3948519560, "checksum": "c4af57b55fc4c8d59986354d33a1f8c1", "links": {"self": "https://zenodo.org/api/records/8436231/files/7624a0a6-6b6a-4cb8-8934-aa58b1afb9de", "download": "https://zenodo.org/api/records/8436231/draft/files/DCIM.zip/content"}}, {"id": "e32959d9-d7b8-4f71-a87f-b3b291fa8665", "filename": "GPS.zip", "filesize": 8507319, "checksum": "27266d09ea43497b0f3968dfa5c890c7", "links": {"self": "https://zenodo.org/api/records/8436231/files/e32959d9-d7b8-4f71-a87f-b3b291fa8665", "download": "https://zenodo.org/api/records/8436231/draft/files/GPS.zip/content"}}, {"id": "bd03a2d3-d206-458a-b9e8-bc2c45fe63f1", "filename": "METADATA.zip", "filesize": 18867766, "checksum": "3708f7ce0189fc8d662f02427fbff7f2", "links": {"self": "https://zenodo.org/api/records/8436231/files/bd03a2d3-d206-458a-b9e8-bc2c45fe63f1", "download": "https://zenodo.org/api/records/8436231/draft/files/METADATA.zip/content"}}], "state": "done", "submitted": true}
Dataset: 9 / 17
id:20220910_MYT-jolly-roger_UAV-02_3_
doi:10.5281/zenodo.8436243_
conceptdoi:10.5281/zenodo.8436242
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{'metadata': {'title': 'Images drone UAV, Jolly roger, Mayotte - 20220910', 'publication_date': '2023-10-11', 'description': '"Jeu de données composé d’images de drone DJI Mavic 2 Pro UAV acquises sur le site de Jolly roger, Mayotte à la date suivante : 20220910.\n<br />\n<br />Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l’objectif de la mission vise à étudier l’implantation de récifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace aérien contrôlé, les vols ont été exécutés en regard de la réglmentation et en contact avec la tour de contrôle de l\'aéroport de Mayotte. \n<br />\n<br />\n<br /><b>Le dépôt est composé des éléments suivants:</b>\n<br /> - 00_: Planche d\'aperçu des images\n<br /> - DCIM.zip: Images brutes issues du drone\n<br /> - GPS.zip: Geopackage contenant l’emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d’attribut en base64\n<br /> - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br />\n<br /><b>Arborescence d\'origine:</b>\n<br />└─ 20220910_MYT-jolly-roger_UAV-02_3\n<br /> └─ DCIM\n<br /> └─ GPS\n<br /> └─ METADATA\n<br /> └─ tb\n<br />\n<br /><b>Informations de survol:</b>\n<br />Différentes hauteurs de vols, angles des transects et angles de caméra ont été utilisés dans le but d\'obtenir des données de qualité en fonction des conditions météorologiques et marines.\n<br />- Camera model and parameters:\n<br /> Make: Hasselblad\n<br /> Model: L1D-20c\n<br /> Width: 5472\n<br /> Height: 3648\n<br /> Focal: 28\n<br /> WhiteBalance: Manual\n<br /> ExposureMode: Auto Exposure\n<br /> ColoSpace: sRGB\n<br /> EV: -0.7\n<br /> MeteringMode: CenterWeightedAverage\n<br /> Camera Pitch: -90.00\n<br />\n<br />- Survey informations:\n<br /> No Images: 198\n<br /> Median height: 119 meters\n<br /> Survey area: 27.47 hectares\n<br /> Survey from: 2022:09:10 12:48:38 to: 2022:09:10 13:01:33\n<br />\n<br />Les dépôts suivants comprennent les données traitées avec OpenDroneMap"', 'access_right': 'open', 'notes': '<p></p><div class="ui message warning">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br /><img src="https://github.com/IRDG2OI/geoflow-g2oi/raw/main/img/logos_partenaires.png?raw=True">', 'creators': [{'orcid': '0009-0005-9789-9095', 'name': 'Sylvain Poulain', 'affiliation': 'Institut de recherche pour le développement (IRD), MARBEC Research Unit'}, {'orcid': '0000-0002-2592-8409', 'name': 'Isabel Urbina-Barreto', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR ENTROPIE'}, {'orcid': '0000-0002-3519-6141', 'name': 'Julien Barde', 'affiliation': 'IRD, UMR MARBEC'}, {'orcid': '0000-0003-2385-3682', 'name': 'Aline Tribollet', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR LOCEAN'}, {'orcid': '0000-0003-4707-8932', 'name': 'François Guilhaumon', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR ENTROPIE'}], 'keywords': ['Future Maore Reef', 'drone', 'lagon', 'corail', 'reef'], 'related_identifiers': [{'identifier': 'urn:20220910_MYT-jolly-roger_UAV-02_3', 'relation': 'isIdenticalTo', 'scheme': 'urn'}], 'version': 'RAW DATA', 'language': 'fra', 'license': 'cc-by-4.0', 'imprint_publisher': 'Zenodo', 'upload_type': 'dataset', 'communities': [{'identifier': 'umr-entropie'}]}}
<Response [200]>
Publish record
{"created": "2023-10-12T20:52:45.093856+00:00", "modified": "2023-12-01T07:30:17.898371+00:00", "id": 8436243, "conceptrecid": "8436242", "doi": "10.5281/zenodo.8436243", "conceptdoi": "10.5281/zenodo.8436242", "doi_url": "https://doi.org/10.5281/zenodo.8436243", "metadata": {"title": "Images drone UAV, Jolly roger, Mayotte - 20220910", "doi": "10.5281/zenodo.8436243", "publication_date": "2023-10-11", "description": "\"Jeu de donn\u00e9es compos\u00e9 d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Jolly roger, Mayotte \u00e0 la date suivante : 20220910.\n<br>\n<br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise \u00e0 \u00e9tudier l'implantation de r\u00e9cifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace a\u00e9rien contr\u00f4l\u00e9, les vols ont \u00e9t\u00e9 ex\u00e9cut\u00e9s en regard de la r\u00e9glmentation et en contact avec la tour de contr\u00f4le de l'a\u00e9roport de Mayotte. \n<br>\n<br>\n<br><b>Le d\u00e9p\u00f4t est compos\u00e9 des \u00e9l\u00e9ments suivants:</b>\n<br> - 00_: Planche d'aper\u00e7u des images\n<br> - DCIM.zip: Images brutes issues du drone\n<br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la g\u00e9olocalisation des images accompagn\u00e9es de leurs miniatures dans la table d'attribut en base64\n<br> - METADATA.zip: M\u00e9tadonn\u00e9es au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br>\n<br><b>Arborescence d'origine:</b>\n<br>\u2514\u2500 20220910_MYT-jolly-roger_UAV-02_3\n<br> \u2514\u2500 DCIM\n<br> \u2514\u2500 GPS\n<br> \u2514\u2500 METADATA\n<br> \u2514\u2500 tb\n<br>\n<br><b>Informations de survol:</b>\n<br>Diff\u00e9rentes hauteurs de vols, angles des transects et angles de cam\u00e9ra ont \u00e9t\u00e9 utilis\u00e9s dans le but d'obtenir des donn\u00e9es de qualit\u00e9 en fonction des conditions m\u00e9t\u00e9orologiques et marines.\n<br>- Camera model and parameters:\n<br> Make: Hasselblad\n<br> Model: L1D-20c\n<br> Width: 5472\n<br> Height: 3648\n<br> Focal: 28\n<br> WhiteBalance: Manual\n<br> ExposureMode: Auto Exposure\n<br> ColoSpace: sRGB\n<br> EV: -0.7\n<br> MeteringMode: CenterWeightedAverage\n<br> Camera Pitch: -90.00\n<br>\n<br>- Survey informations:\n<br> No Images: 198\n<br> Median height: 119 meters\n<br> Survey area: 27.47 hectares\n<br> Survey from: 2022:09:10 12:48:38 to: 2022:09:10 13:01:33\n<br>\n<br>Les d\u00e9p\u00f4ts suivants comprennent les donn\u00e9es trait\u00e9es avec OpenDroneMap\"", "access_right": "open", "creators": [{"name": "Sylvain Poulain", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), MARBEC Research Unit", "orcid": "0009-0005-9789-9095"}, {"name": "Isabel Urbina-Barreto", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), UMR ENTROPIE", "orcid": "0000-0002-2592-8409"}, {"name": "Julien Barde", "affiliation": "IRD, UMR MARBEC", "orcid": "0000-0002-3519-6141"}, {"name": "Aline Tribollet", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), UMR LOCEAN", "orcid": "0000-0003-2385-3682"}, {"name": "Fran\u00e7ois Guilhaumon", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), UMR ENTROPIE", "orcid": "0000-0003-4707-8932"}], "keywords": ["Future Maore Reef", "drone", "lagon", "corail", "reef"], "related_identifiers": [{"identifier": "urn:20220910_MYT-jolly-roger_UAV-02_3", "relation": "isIdenticalTo", "scheme": "urn"}], "version": "RAW DATA", "language": "fra", "license": "cc-by-4.0", "imprint_publisher": "Zenodo", "communities": [{"identifier": "uav"}], "notes": "<p></p><div class=\"ui message warning\">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br>", "upload_type": "dataset", "prereserve_doi": {"doi": "10.5281/zenodo.8436243", "recid": 8436243}}, "title": "Images drone UAV, Jolly roger, Mayotte - 20220910", "links": {"self": "https://zenodo.org/api/records/8436243", "html": "https://zenodo.org/records/8436243", "doi": "https://doi.org/10.5281/zenodo.8436243", "parent_doi": "https://zenodo.org/doi/10.5281/zenodo.8436242", "badge": "https://zenodo.org/badge/doi/10.5281%2Fzenodo.8436243.svg", "conceptbadge": "https://zenodo.org/badge/doi/10.5281%2Fzenodo.8436242.svg", "files": "https://zenodo.org/api/records/8436243/files", "bucket": "https://zenodo.org/api/files/b8b63f98-b2ed-4028-b220-7bc13fe8c302", "thumb250": "https://zenodo.org/record/8436243/thumb250", "thumbs": {"10": "https://zenodo.org/record/8436243/thumb10", "50": "https://zenodo.org/record/8436243/thumb50", "100": "https://zenodo.org/record/8436243/thumb100", "250": "https://zenodo.org/record/8436243/thumb250", "750": "https://zenodo.org/record/8436243/thumb750", "1200": "https://zenodo.org/record/8436243/thumb1200"}, "latest_draft": "https://zenodo.org/api/deposit/depositions/8436243", "latest_draft_html": "https://zenodo.org/deposit/8436243", "publish": "https://zenodo.org/api/deposit/depositions/8436243/actions/publish", "edit": "https://zenodo.org/api/deposit/depositions/8436243/actions/edit", "discard": "https://zenodo.org/api/deposit/depositions/8436243/actions/discard", "newversion": "https://zenodo.org/api/deposit/depositions/8436243/actions/newversion", "registerconceptdoi": "https://zenodo.org/api/deposit/depositions/8436243/actions/registerconceptdoi", "record": "https://zenodo.org/api/records/8436243", "record_html": "https://zenodo.org/record/8436243", "latest": "https://zenodo.org/api/records/8436243/versions/latest", "latest_html": "https://zenodo.org/record/8436243/versions/latest"}, "record_id": 8436243, "owner": 601426, "files": [{"id": "e3b7d6c5-aed3-4bc2-bf18-64f0636ffc08", "filename": "00_sample_rawdata_overview.png", "filesize": 670923, "checksum": "9d947b00b07bba3406766b8501d51927", "links": {"self": "https://zenodo.org/api/records/8436243/files/e3b7d6c5-aed3-4bc2-bf18-64f0636ffc08", "download": "https://zenodo.org/api/records/8436243/draft/files/00_sample_rawdata_overview.png/content"}}, {"id": "8b28215f-ded3-4960-a1a9-123dc2efb391", "filename": "DCIM.zip", "filesize": 2393282655, "checksum": "038b541669f46d0003e25ac2051026a8", "links": {"self": "https://zenodo.org/api/records/8436243/files/8b28215f-ded3-4960-a1a9-123dc2efb391", "download": "https://zenodo.org/api/records/8436243/draft/files/DCIM.zip/content"}}, {"id": "8c4525ed-5eee-401d-a748-e4e2db7ae9bb", "filename": "GPS.zip", "filesize": 4669978, "checksum": "3652abf7c3980d112bd69a258dbb3e0b", "links": {"self": "https://zenodo.org/api/records/8436243/files/8c4525ed-5eee-401d-a748-e4e2db7ae9bb", "download": "https://zenodo.org/api/records/8436243/draft/files/GPS.zip/content"}}, {"id": "8e866b4f-8652-4acc-9d9b-5b1cdc9dd6c3", "filename": "METADATA.zip", "filesize": 9493956, "checksum": "cad8e60b61d542efe54608df2316aef8", "links": {"self": "https://zenodo.org/api/records/8436243/files/8e866b4f-8652-4acc-9d9b-5b1cdc9dd6c3", "download": "https://zenodo.org/api/records/8436243/draft/files/METADATA.zip/content"}}], "state": "done", "submitted": true}
Dataset: 10 / 17
id:20220913_MYT-ngouja_UAV-02_2_
doi:10.5281/zenodo.8436250_
conceptdoi:10.5281/zenodo.8436249
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{'metadata': {'title': 'Images drone UAV, Ngouja, Mayotte - 20220913', 'publication_date': '2023-10-11', 'description': '"Jeu de données composé d’images de drone DJI Mavic 2 Pro UAV acquises sur le site de Ngouja, Mayotte à la date suivante : 20220913.\n<br />\n<br />Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l’objectif de la mission vise à étudier l’implantation de récifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace aérien contrôlé, les vols ont été exécutés en regard de la réglmentation et en contact avec la tour de contrôle de l\'aéroport de Mayotte. \n<br />\n<br />\n<br /><b>Le dépôt est composé des éléments suivants:</b>\n<br /> - 00_: Planche d\'aperçu des images\n<br /> - DCIM.zip: Images brutes issues du drone\n<br /> - GPS.zip: Geopackage contenant l’emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d’attribut en base64\n<br /> - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br />\n<br /><b>Arborescence d\'origine:</b>\n<br />└─ 20220913_MYT-ngouja_UAV-02_2\n<br /> └─ DCIM\n<br /> └─ GPS\n<br /> └─ METADATA\n<br /> └─ tb\n<br />\n<br /><b>Informations de survol:</b>\n<br />Différentes hauteurs de vols, angles des transects et angles de caméra ont été utilisés dans le but d\'obtenir des données de qualité en fonction des conditions météorologiques et marines.\n<br />- Camera model and parameters:\n<br /> Make: Hasselblad\n<br /> Model: L1D-20c\n<br /> Width: 5472\n<br /> Height: 3648\n<br /> Focal: 28\n<br /> WhiteBalance: Manual\n<br /> ExposureMode: Auto Exposure\n<br /> ColoSpace: sRGB\n<br /> EV: -0.7\n<br /> MeteringMode: Average\n<br /> Camera Pitch: -75.00\n<br />\n<br />- Survey informations:\n<br /> No Images: 361\n<br /> Median height: 70 meters\n<br /> Survey area: 7.06 hectares\n<br /> Survey from: 2022:09:13 14:41:28 to: 2022:09:13 14:55:42\n<br />\n<br />Les dépôts suivants comprennent les données traitées avec OpenDroneMap"', 'access_right': 'open', 'notes': '<p></p><div class="ui message warning">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br /><img src="https://github.com/IRDG2OI/geoflow-g2oi/raw/main/img/logos_partenaires.png?raw=True">', 'creators': [{'orcid': '0009-0005-9789-9095', 'name': 'Sylvain Poulain', 'affiliation': 'Institut de recherche pour le développement (IRD), MARBEC Research Unit'}, {'orcid': '0000-0002-2592-8409', 'name': 'Isabel Urbina-Barreto', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR ENTROPIE'}, {'orcid': '0000-0002-3519-6141', 'name': 'Julien Barde', 'affiliation': 'IRD, UMR MARBEC'}, {'orcid': '0000-0003-2385-3682', 'name': 'Aline Tribollet', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR LOCEAN'}, {'orcid': '0000-0003-4707-8932', 'name': 'François Guilhaumon', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR ENTROPIE'}], 'keywords': ['Future Maore Reef', 'drone', 'lagon', 'corail', 'reef'], 'related_identifiers': [{'identifier': 'urn:20220913_MYT-ngouja_UAV-02_2', 'relation': 'isIdenticalTo', 'scheme': 'urn'}], 'version': 'RAW DATA', 'language': 'fra', 'license': 'cc-by-4.0', 'imprint_publisher': 'Zenodo', 'upload_type': 'dataset', 'communities': [{'identifier': 'umr-entropie'}]}}
<Response [200]>
Publish record
{"created": "2023-10-12T20:52:52.835510+00:00", "modified": "2023-12-01T07:30:47.944456+00:00", "id": 8436250, "conceptrecid": "8436249", "doi": "10.5281/zenodo.8436250", "conceptdoi": "10.5281/zenodo.8436249", "doi_url": "https://doi.org/10.5281/zenodo.8436250", "metadata": {"title": "Images drone UAV, Ngouja, Mayotte - 20220913", "doi": "10.5281/zenodo.8436250", "publication_date": "2023-10-11", "description": "\"Jeu de donn\u00e9es compos\u00e9 d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Ngouja, Mayotte \u00e0 la date suivante : 20220913.\n<br>\n<br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise \u00e0 \u00e9tudier l'implantation de r\u00e9cifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace a\u00e9rien contr\u00f4l\u00e9, les vols ont \u00e9t\u00e9 ex\u00e9cut\u00e9s en regard de la r\u00e9glmentation et en contact avec la tour de contr\u00f4le de l'a\u00e9roport de Mayotte. \n<br>\n<br>\n<br><b>Le d\u00e9p\u00f4t est compos\u00e9 des \u00e9l\u00e9ments suivants:</b>\n<br> - 00_: Planche d'aper\u00e7u des images\n<br> - DCIM.zip: Images brutes issues du drone\n<br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la g\u00e9olocalisation des images accompagn\u00e9es de leurs miniatures dans la table d'attribut en base64\n<br> - METADATA.zip: M\u00e9tadonn\u00e9es au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br>\n<br><b>Arborescence d'origine:</b>\n<br>\u2514\u2500 20220913_MYT-ngouja_UAV-02_2\n<br> \u2514\u2500 DCIM\n<br> \u2514\u2500 GPS\n<br> \u2514\u2500 METADATA\n<br> \u2514\u2500 tb\n<br>\n<br><b>Informations de survol:</b>\n<br>Diff\u00e9rentes hauteurs de vols, angles des transects et angles de cam\u00e9ra ont \u00e9t\u00e9 utilis\u00e9s dans le but d'obtenir des donn\u00e9es de qualit\u00e9 en fonction des conditions m\u00e9t\u00e9orologiques et marines.\n<br>- Camera model and parameters:\n<br> Make: Hasselblad\n<br> Model: L1D-20c\n<br> Width: 5472\n<br> Height: 3648\n<br> Focal: 28\n<br> WhiteBalance: Manual\n<br> ExposureMode: Auto Exposure\n<br> ColoSpace: sRGB\n<br> EV: -0.7\n<br> MeteringMode: Average\n<br> Camera Pitch: -75.00\n<br>\n<br>- Survey informations:\n<br> No Images: 361\n<br> Median height: 70 meters\n<br> Survey area: 7.06 hectares\n<br> Survey from: 2022:09:13 14:41:28 to: 2022:09:13 14:55:42\n<br>\n<br>Les d\u00e9p\u00f4ts suivants comprennent les donn\u00e9es trait\u00e9es avec OpenDroneMap\"", "access_right": "open", "creators": [{"name": "Sylvain Poulain", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), MARBEC Research Unit", "orcid": "0009-0005-9789-9095"}, {"name": "Isabel Urbina-Barreto", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), UMR ENTROPIE", "orcid": "0000-0002-2592-8409"}, {"name": "Julien Barde", "affiliation": "IRD, UMR MARBEC", "orcid": "0000-0002-3519-6141"}, {"name": "Aline Tribollet", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), UMR LOCEAN", "orcid": "0000-0003-2385-3682"}, {"name": "Fran\u00e7ois Guilhaumon", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), UMR ENTROPIE", "orcid": "0000-0003-4707-8932"}], "keywords": ["Future Maore Reef", "drone", "lagon", "corail", "reef"], "related_identifiers": [{"identifier": "urn:20220913_MYT-ngouja_UAV-02_2", "relation": "isIdenticalTo", "scheme": "urn"}], "version": "RAW DATA", "language": "fra", "license": "cc-by-4.0", "imprint_publisher": "Zenodo", "communities": [{"identifier": "uav"}], "notes": "<p></p><div class=\"ui message warning\">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br>", "upload_type": "dataset", "prereserve_doi": {"doi": "10.5281/zenodo.8436250", "recid": 8436250}}, "title": "Images drone UAV, Ngouja, Mayotte - 20220913", "links": {"self": "https://zenodo.org/api/records/8436250", "html": "https://zenodo.org/records/8436250", "doi": "https://doi.org/10.5281/zenodo.8436250", "parent_doi": "https://zenodo.org/doi/10.5281/zenodo.8436249", "badge": "https://zenodo.org/badge/doi/10.5281%2Fzenodo.8436250.svg", "conceptbadge": "https://zenodo.org/badge/doi/10.5281%2Fzenodo.8436249.svg", "files": "https://zenodo.org/api/records/8436250/files", "bucket": "https://zenodo.org/api/files/5a62eeef-d40b-4e8c-8c67-a38ecdbd0658", "thumb250": "https://zenodo.org/record/8436250/thumb250", "thumbs": {"10": "https://zenodo.org/record/8436250/thumb10", "50": "https://zenodo.org/record/8436250/thumb50", "100": "https://zenodo.org/record/8436250/thumb100", "250": "https://zenodo.org/record/8436250/thumb250", "750": "https://zenodo.org/record/8436250/thumb750", "1200": "https://zenodo.org/record/8436250/thumb1200"}, "latest_draft": "https://zenodo.org/api/deposit/depositions/8436250", "latest_draft_html": "https://zenodo.org/deposit/8436250", "publish": "https://zenodo.org/api/deposit/depositions/8436250/actions/publish", "edit": "https://zenodo.org/api/deposit/depositions/8436250/actions/edit", "discard": "https://zenodo.org/api/deposit/depositions/8436250/actions/discard", "newversion": "https://zenodo.org/api/deposit/depositions/8436250/actions/newversion", "registerconceptdoi": "https://zenodo.org/api/deposit/depositions/8436250/actions/registerconceptdoi", "record": "https://zenodo.org/api/records/8436250", "record_html": "https://zenodo.org/record/8436250", "latest": "https://zenodo.org/api/records/8436250/versions/latest", "latest_html": "https://zenodo.org/record/8436250/versions/latest"}, "record_id": 8436250, "owner": 601426, "files": [{"id": "67a75dd8-b428-4e8b-96b2-ea97b0bcdcb7", "filename": "00_sample_rawdata_overview.png", "filesize": 636462, "checksum": "e9ddc6d1930a77a5a0195e82409b273b", "links": {"self": "https://zenodo.org/api/records/8436250/files/67a75dd8-b428-4e8b-96b2-ea97b0bcdcb7", "download": "https://zenodo.org/api/records/8436250/draft/files/00_sample_rawdata_overview.png/content"}}, {"id": "ec9ae9d5-92be-4bc1-920b-5557556ed5bd", "filename": "DCIM.zip", "filesize": 3327268793, "checksum": "ba81805d772dc24b4f7710bfa61e2c67", "links": {"self": "https://zenodo.org/api/records/8436250/files/ec9ae9d5-92be-4bc1-920b-5557556ed5bd", "download": "https://zenodo.org/api/records/8436250/draft/files/DCIM.zip/content"}}, {"id": "370dfcfc-d760-4823-9571-b06f83ab4b22", "filename": "GPS.zip", "filesize": 7907612, "checksum": "1b57453159f2066f151949673c16ad92", "links": {"self": "https://zenodo.org/api/records/8436250/files/370dfcfc-d760-4823-9571-b06f83ab4b22", "download": "https://zenodo.org/api/records/8436250/draft/files/GPS.zip/content"}}, {"id": "f101f64f-5e8f-46a5-b483-42c6516a7cec", "filename": "METADATA.zip", "filesize": 15756186, "checksum": "b76440477c5050e4aa16a8f9c5ca29d6", "links": {"self": "https://zenodo.org/api/records/8436250/files/f101f64f-5e8f-46a5-b483-42c6516a7cec", "download": "https://zenodo.org/api/records/8436250/draft/files/METADATA.zip/content"}}], "state": "done", "submitted": true}
Dataset: 11 / 17
id:20220910_MYT-jollyroger_UAV-02_2_
doi:10.5281/zenodo.8436262_
conceptdoi:10.5281/zenodo.8436261
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{'metadata': {'title': 'Images drone UAV, Jollyroger, Mayotte - 20220910', 'publication_date': '2023-10-11', 'description': '"Jeu de données composé d’images de drone DJI Mavic 2 Pro UAV acquises sur le site de Jollyroger, Mayotte à la date suivante : 20220910.\n<br />\n<br />Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l’objectif de la mission vise à étudier l’implantation de récifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace aérien contrôlé, les vols ont été exécutés en regard de la réglmentation et en contact avec la tour de contrôle de l\'aéroport de Mayotte. \n<br />\n<br />\n<br /><b>Le dépôt est composé des éléments suivants:</b>\n<br /> - 00_: Planche d\'aperçu des images\n<br /> - DCIM.zip: Images brutes issues du drone\n<br /> - GPS.zip: Geopackage contenant l’emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d’attribut en base64\n<br /> - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br />\n<br /><b>Arborescence d\'origine:</b>\n<br />└─ 20220910_MYT-jollyroger_UAV-02_2\n<br /> └─ DCIM\n<br /> └─ GPS\n<br /> └─ METADATA\n<br /> └─ tb\n<br />\n<br /><b>Informations de survol:</b>\n<br />Différentes hauteurs de vols, angles des transects et angles de caméra ont été utilisés dans le but d\'obtenir des données de qualité en fonction des conditions météorologiques et marines.\n<br />- Camera model and parameters:\n<br /> Make: Hasselblad\n<br /> Model: L1D-20c\n<br /> Width: 5472\n<br /> Height: 3648\n<br /> Focal: 28\n<br /> WhiteBalance: Manual\n<br /> ExposureMode: Auto Exposure\n<br /> ColoSpace: sRGB\n<br /> EV: -0.7\n<br /> MeteringMode: CenterWeightedAverage\n<br /> Camera Pitch: -89.90\n<br />\n<br />- Survey informations:\n<br /> No Images: 194\n<br /> Median height: 119 meters\n<br /> Survey area: 27.34 hectares\n<br /> Survey from: 2022:09:10 12:28:03 to: 2022:09:10 12:40:27\n<br />\n<br />Les dépôts suivants comprennent les données traitées avec OpenDroneMap"', 'access_right': 'open', 'notes': '<p></p><div class="ui message warning">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br /><img src="https://github.com/IRDG2OI/geoflow-g2oi/raw/main/img/logos_partenaires.png?raw=True">', 'creators': [{'orcid': '0009-0005-9789-9095', 'name': 'Sylvain Poulain', 'affiliation': 'Institut de recherche pour le développement (IRD), MARBEC Research Unit'}, {'orcid': '0000-0002-2592-8409', 'name': 'Isabel Urbina-Barreto', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR ENTROPIE'}, {'orcid': '0000-0002-3519-6141', 'name': 'Julien Barde', 'affiliation': 'IRD, UMR MARBEC'}, {'orcid': '0000-0003-2385-3682', 'name': 'Aline Tribollet', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR LOCEAN'}, {'orcid': '0000-0003-4707-8932', 'name': 'François Guilhaumon', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR ENTROPIE'}], 'keywords': ['Future Maore Reef', 'drone', 'lagon', 'corail', 'reef'], 'related_identifiers': [{'identifier': 'urn:20220910_MYT-jollyroger_UAV-02_2', 'relation': 'isIdenticalTo', 'scheme': 'urn'}], 'version': 'RAW DATA', 'language': 'fra', 'license': 'cc-by-4.0', 'imprint_publisher': 'Zenodo', 'upload_type': 'dataset', 'communities': [{'identifier': 'umr-entropie'}]}}
<Response [200]>
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Dataset: 12 / 17
id:20220913_MYT-jollyroger_UAV-02_1_
doi:10.5281/zenodo.8436272_
conceptdoi:10.5281/zenodo.8436271
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{'metadata': {'title': 'Images drone UAV, Jollyroger, Mayotte - 20220913', 'publication_date': '2023-10-11', 'description': '"Jeu de données composé d’images de drone DJI Mavic 2 Pro UAV acquises sur le site de Jollyroger, Mayotte à la date suivante : 20220913.\n<br />\n<br />Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l’objectif de la mission vise à étudier l’implantation de récifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace aérien contrôlé, les vols ont été exécutés en regard de la réglmentation et en contact avec la tour de contrôle de l\'aéroport de Mayotte. \n<br />\n<br />\n<br /><b>Le dépôt est composé des éléments suivants:</b>\n<br /> - 00_: Planche d\'aperçu des images\n<br /> - DCIM.zip: Images brutes issues du drone\n<br /> - GPS.zip: Geopackage contenant l’emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d’attribut en base64\n<br /> - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br />\n<br /><b>Arborescence d\'origine:</b>\n<br />└─ 20220913_MYT-jollyroger_UAV-02_1\n<br /> └─ DCIM\n<br /> └─ GPS\n<br /> └─ METADATA\n<br /> └─ tb\n<br />\n<br /><b>Informations de survol:</b>\n<br />Différentes hauteurs de vols, angles des transects et angles de caméra ont été utilisés dans le but d\'obtenir des données de qualité en fonction des conditions météorologiques et marines.\n<br />- Camera model and parameters:\n<br /> Make: Hasselblad\n<br /> Model: L1D-20c\n<br /> Width: 5472\n<br /> Height: 3648\n<br /> Focal: 28\n<br /> WhiteBalance: Manual\n<br /> ExposureMode: Auto Exposure\n<br /> ColoSpace: sRGB\n<br /> EV: -0.7\n<br /> MeteringMode: CenterWeightedAverage\n<br /> Camera Pitch: -75.00\n<br />\n<br />- Survey informations:\n<br /> No Images: 327\n<br /> Median height: 40 meters\n<br /> Survey area: 3.06 hectares\n<br /> Survey from: 2022:09:13 10:38:10 to: 2022:09:13 10:52:26\n<br />\n<br />Les dépôts suivants comprennent les données traitées avec OpenDroneMap"', 'access_right': 'open', 'notes': '<p></p><div class="ui message warning">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br /><img src="https://github.com/IRDG2OI/geoflow-g2oi/raw/main/img/logos_partenaires.png?raw=True">', 'creators': [{'orcid': '0009-0005-9789-9095', 'name': 'Sylvain Poulain', 'affiliation': 'Institut de recherche pour le développement (IRD), MARBEC Research Unit'}, {'orcid': '0000-0002-2592-8409', 'name': 'Isabel Urbina-Barreto', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR ENTROPIE'}, {'orcid': '0000-0002-3519-6141', 'name': 'Julien Barde', 'affiliation': 'IRD, UMR MARBEC'}, {'orcid': '0000-0003-2385-3682', 'name': 'Aline Tribollet', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR LOCEAN'}, {'orcid': '0000-0003-4707-8932', 'name': 'François Guilhaumon', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR ENTROPIE'}], 'keywords': ['Future Maore Reef', 'drone', 'lagon', 'corail', 'reef'], 'related_identifiers': [{'identifier': 'urn:20220913_MYT-jollyroger_UAV-02_1', 'relation': 'isIdenticalTo', 'scheme': 'urn'}], 'version': 'RAW DATA', 'language': 'fra', 'license': 'cc-by-4.0', 'imprint_publisher': 'Zenodo', 'upload_type': 'dataset', 'communities': [{'identifier': 'umr-entropie'}]}}
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Dataset: 13 / 17
id:20220914_MYT-aeroport_UAV-02_1_
doi:10.5281/zenodo.8436276_
conceptdoi:10.5281/zenodo.8436275
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{'metadata': {'title': 'Images drone UAV, Aeroport, Mayotte - 20220914', 'publication_date': '2023-10-11', 'description': '"Jeu de données composé d’images de drone DJI Mavic 2 Pro UAV acquises sur le site de Aeroport, Mayotte à la date suivante : 20220914.\n<br />\n<br />Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l’objectif de la mission vise à étudier l’implantation de récifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace aérien contrôlé, les vols ont été exécutés en regard de la réglmentation et en contact avec la tour de contrôle de l\'aéroport de Mayotte. \n<br />\n<br />\n<br /><b>Le dépôt est composé des éléments suivants:</b>\n<br /> - 00_: Planche d\'aperçu des images\n<br /> - DCIM.zip: Images brutes issues du drone\n<br /> - GPS.zip: Geopackage contenant l’emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d’attribut en base64\n<br /> - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br />\n<br /><b>Arborescence d\'origine:</b>\n<br />└─ 20220914_MYT-aeroport_UAV-02_1\n<br /> └─ DCIM\n<br /> └─ GPS\n<br /> └─ METADATA\n<br /> └─ tb\n<br />\n<br /><b>Informations de survol:</b>\n<br />Différentes hauteurs de vols, angles des transects et angles de caméra ont été utilisés dans le but d\'obtenir des données de qualité en fonction des conditions météorologiques et marines.\n<br />- Camera model and parameters:\n<br /> Make: Hasselblad\n<br /> Model: L1D-20c\n<br /> Width: 5472\n<br /> Height: 3648\n<br /> Focal: 28\n<br /> WhiteBalance: Manual\n<br /> ExposureMode: Auto Exposure\n<br /> ColoSpace: sRGB\n<br /> EV: -0.7\n<br /> MeteringMode: CenterWeightedAverage\n<br /> Camera Pitch: -75.00\n<br />\n<br />- Survey informations:\n<br /> No Images: 395\n<br /> Median height: 70 meters\n<br /> Survey area: 9.43 hectares\n<br /> Survey from: 2022:09:14 08:44:46 to: 2022:09:14 09:00:26\n<br />\n<br />Les dépôts suivants comprennent les données traitées avec OpenDroneMap"', 'access_right': 'open', 'notes': '<p></p><div class="ui message warning">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br /><img src="https://github.com/IRDG2OI/geoflow-g2oi/raw/main/img/logos_partenaires.png?raw=True">', 'creators': [{'orcid': '0009-0005-9789-9095', 'name': 'Sylvain Poulain', 'affiliation': 'Institut de recherche pour le développement (IRD), MARBEC Research Unit'}, {'orcid': '0000-0002-2592-8409', 'name': 'Isabel Urbina-Barreto', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR ENTROPIE'}, {'orcid': '0000-0002-3519-6141', 'name': 'Julien Barde', 'affiliation': 'IRD, UMR MARBEC'}, {'orcid': '0000-0003-2385-3682', 'name': 'Aline Tribollet', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR LOCEAN'}, {'orcid': '0000-0003-4707-8932', 'name': 'François Guilhaumon', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR ENTROPIE'}], 'keywords': ['Future Maore Reef', 'drone', 'lagon', 'corail', 'reef'], 'related_identifiers': [{'identifier': 'urn:20220914_MYT-aeroport_UAV-02_1', 'relation': 'isIdenticalTo', 'scheme': 'urn'}], 'version': 'RAW DATA', 'language': 'fra', 'license': 'cc-by-4.0', 'imprint_publisher': 'Zenodo', 'upload_type': 'dataset', 'communities': [{'identifier': 'umr-entropie'}]}}
<Response [200]>
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Dataset: 14 / 17
id:20220913_MYT-ngouja_UAV-02_3_
doi:10.5281/zenodo.8436286_
conceptdoi:10.5281/zenodo.8436285
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{'metadata': {'title': 'Images drone UAV, Ngouja, Mayotte - 20220913', 'publication_date': '2023-10-11', 'description': '"Jeu de données composé d’images de drone DJI Mavic 2 Pro UAV acquises sur le site de Ngouja, Mayotte à la date suivante : 20220913.\n<br />\n<br />Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l’objectif de la mission vise à étudier l’implantation de récifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace aérien contrôlé, les vols ont été exécutés en regard de la réglmentation et en contact avec la tour de contrôle de l\'aéroport de Mayotte. \n<br />\n<br />\n<br /><b>Le dépôt est composé des éléments suivants:</b>\n<br /> - 00_: Planche d\'aperçu des images\n<br /> - DCIM.zip: Images brutes issues du drone\n<br /> - GPS.zip: Geopackage contenant l’emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d’attribut en base64\n<br /> - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br />\n<br /><b>Arborescence d\'origine:</b>\n<br />└─ 20220913_MYT-ngouja_UAV-02_3\n<br /> └─ DCIM\n<br /> └─ GPS\n<br /> └─ METADATA\n<br /> └─ tb\n<br />\n<br /><b>Informations de survol:</b>\n<br />Différentes hauteurs de vols, angles des transects et angles de caméra ont été utilisés dans le but d\'obtenir des données de qualité en fonction des conditions météorologiques et marines.\n<br />- Camera model and parameters:\n<br /> Make: Hasselblad\n<br /> Model: L1D-20c\n<br /> Width: 5472\n<br /> Height: 3648\n<br /> Focal: 28\n<br /> WhiteBalance: Manual\n<br /> ExposureMode: Auto Exposure\n<br /> ColoSpace: sRGB\n<br /> EV: -0.7\n<br /> MeteringMode: CenterWeightedAverage\n<br /> Camera Pitch: -75.00\n<br />\n<br />- Survey informations:\n<br /> No Images: 396\n<br /> Median height: 30 meters\n<br /> Survey area: 1.54 hectares\n<br /> Survey from: 2022:09:13 15:05:58 to: 2022:09:13 15:21:26\n<br />\n<br />Les dépôts suivants comprennent les données traitées avec OpenDroneMap"', 'access_right': 'open', 'notes': '<p></p><div class="ui message warning">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br /><img src="https://github.com/IRDG2OI/geoflow-g2oi/raw/main/img/logos_partenaires.png?raw=True">', 'creators': [{'orcid': '0009-0005-9789-9095', 'name': 'Sylvain Poulain', 'affiliation': 'Institut de recherche pour le développement (IRD), MARBEC Research Unit'}, {'orcid': '0000-0002-2592-8409', 'name': 'Isabel Urbina-Barreto', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR ENTROPIE'}, {'orcid': '0000-0002-3519-6141', 'name': 'Julien Barde', 'affiliation': 'IRD, UMR MARBEC'}, {'orcid': '0000-0003-2385-3682', 'name': 'Aline Tribollet', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR LOCEAN'}, {'orcid': '0000-0003-4707-8932', 'name': 'François Guilhaumon', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR ENTROPIE'}], 'keywords': ['Future Maore Reef', 'drone', 'lagon', 'corail', 'reef'], 'related_identifiers': [{'identifier': 'urn:20220913_MYT-ngouja_UAV-02_3', 'relation': 'isIdenticalTo', 'scheme': 'urn'}], 'version': 'RAW DATA', 'language': 'fra', 'license': 'cc-by-4.0', 'imprint_publisher': 'Zenodo', 'upload_type': 'dataset', 'communities': [{'identifier': 'umr-entropie'}]}}
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Dataset: 15 / 17
id:20220912_MYT-ile-blanche_UAV-02_1_
doi:10.5281/zenodo.8436301_
conceptdoi:10.5281/zenodo.8436300
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{'metadata': {'title': 'Images drone UAV, Ile blanche, Mayotte - 20220912', 'publication_date': '2023-10-11', 'description': '"Jeu de données composé d’images de drone DJI Mavic 2 Pro UAV acquises sur le site de Ile blanche, Mayotte à la date suivante : 20220912.\n<br />\n<br />Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l’objectif de la mission vise à étudier l’implantation de récifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace aérien contrôlé, les vols ont été exécutés en regard de la réglmentation et en contact avec la tour de contrôle de l\'aéroport de Mayotte. \n<br />\n<br />\n<br /><b>Le dépôt est composé des éléments suivants:</b>\n<br /> - 00_: Planche d\'aperçu des images\n<br /> - DCIM.zip: Images brutes issues du drone\n<br /> - GPS.zip: Geopackage contenant l’emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d’attribut en base64\n<br /> - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br />\n<br /><b>Arborescence d\'origine:</b>\n<br />└─ 20220912_MYT-ile-blanche_UAV-02_1\n<br /> └─ DCIM\n<br /> └─ GPS\n<br /> └─ METADATA\n<br /> └─ tb\n<br />\n<br /><b>Informations de survol:</b>\n<br />Différentes hauteurs de vols, angles des transects et angles de caméra ont été utilisés dans le but d\'obtenir des données de qualité en fonction des conditions météorologiques et marines.\n<br />- Camera model and parameters:\n<br /> Make: Hasselblad\n<br /> Model: L1D-20c\n<br /> Width: 5472\n<br /> Height: 3648\n<br /> Focal: 28\n<br /> WhiteBalance: Manual\n<br /> ExposureMode: Auto Exposure\n<br /> ColoSpace: sRGB\n<br /> EV: -0.7\n<br /> MeteringMode: CenterWeightedAverage\n<br /> Camera Pitch: -75.00\n<br />\n<br />- Survey informations:\n<br /> No Images: 400\n<br /> Median height: 60 meters\n<br /> Survey area: 10.23 hectares\n<br /> Survey from: 2022:09:12 08:32:09 to: 2022:09:12 08:51:56\n<br />\n<br />Les dépôts suivants comprennent les données traitées avec OpenDroneMap"', 'access_right': 'open', 'notes': '<p></p><div class="ui message warning">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br /><img src="https://github.com/IRDG2OI/geoflow-g2oi/raw/main/img/logos_partenaires.png?raw=True">', 'creators': [{'orcid': '0009-0005-9789-9095', 'name': 'Sylvain Poulain', 'affiliation': 'Institut de recherche pour le développement (IRD), MARBEC Research Unit'}, {'orcid': '0000-0002-2592-8409', 'name': 'Isabel Urbina-Barreto', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR ENTROPIE'}, {'orcid': '0000-0002-3519-6141', 'name': 'Julien Barde', 'affiliation': 'IRD, UMR MARBEC'}, {'orcid': '0000-0003-2385-3682', 'name': 'Aline Tribollet', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR LOCEAN'}, {'orcid': '0000-0003-4707-8932', 'name': 'François Guilhaumon', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR ENTROPIE'}], 'keywords': ['Future Maore Reef', 'drone', 'lagon', 'corail', 'reef'], 'related_identifiers': [{'identifier': 'urn:20220912_MYT-ile-blanche_UAV-02_1', 'relation': 'isIdenticalTo', 'scheme': 'urn'}], 'version': 'RAW DATA', 'language': 'fra', 'license': 'cc-by-4.0', 'imprint_publisher': 'Zenodo', 'upload_type': 'dataset', 'communities': [{'identifier': 'umr-entropie'}]}}
<Response [200]>
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{"created": "2023-10-12T20:53:44.795327+00:00", "modified": "2023-12-01T07:33:23.807069+00:00", "id": 8436301, "conceptrecid": "8436300", "doi": "10.5281/zenodo.8436301", "conceptdoi": "10.5281/zenodo.8436300", "doi_url": "https://doi.org/10.5281/zenodo.8436301", "metadata": {"title": "Images drone UAV, Ile blanche, Mayotte - 20220912", "doi": "10.5281/zenodo.8436301", "publication_date": "2023-10-11", "description": "\"Jeu de donn\u00e9es compos\u00e9 d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Ile blanche, Mayotte \u00e0 la date suivante : 20220912.\n<br>\n<br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise \u00e0 \u00e9tudier l'implantation de r\u00e9cifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace a\u00e9rien contr\u00f4l\u00e9, les vols ont \u00e9t\u00e9 ex\u00e9cut\u00e9s en regard de la r\u00e9glmentation et en contact avec la tour de contr\u00f4le de l'a\u00e9roport de Mayotte. \n<br>\n<br>\n<br><b>Le d\u00e9p\u00f4t est compos\u00e9 des \u00e9l\u00e9ments suivants:</b>\n<br> - 00_: Planche d'aper\u00e7u des images\n<br> - DCIM.zip: Images brutes issues du drone\n<br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la g\u00e9olocalisation des images accompagn\u00e9es de leurs miniatures dans la table d'attribut en base64\n<br> - METADATA.zip: M\u00e9tadonn\u00e9es au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br>\n<br><b>Arborescence d'origine:</b>\n<br>\u2514\u2500 20220912_MYT-ile-blanche_UAV-02_1\n<br> \u2514\u2500 DCIM\n<br> \u2514\u2500 GPS\n<br> \u2514\u2500 METADATA\n<br> \u2514\u2500 tb\n<br>\n<br><b>Informations de survol:</b>\n<br>Diff\u00e9rentes hauteurs de vols, angles des transects et angles de cam\u00e9ra ont \u00e9t\u00e9 utilis\u00e9s dans le but d'obtenir des donn\u00e9es de qualit\u00e9 en fonction des conditions m\u00e9t\u00e9orologiques et marines.\n<br>- Camera model and parameters:\n<br> Make: Hasselblad\n<br> Model: L1D-20c\n<br> Width: 5472\n<br> Height: 3648\n<br> Focal: 28\n<br> WhiteBalance: Manual\n<br> ExposureMode: Auto Exposure\n<br> ColoSpace: sRGB\n<br> EV: -0.7\n<br> MeteringMode: CenterWeightedAverage\n<br> Camera Pitch: -75.00\n<br>\n<br>- Survey informations:\n<br> No Images: 400\n<br> Median height: 60 meters\n<br> Survey area: 10.23 hectares\n<br> Survey from: 2022:09:12 08:32:09 to: 2022:09:12 08:51:56\n<br>\n<br>Les d\u00e9p\u00f4ts suivants comprennent les donn\u00e9es trait\u00e9es avec OpenDroneMap\"", "access_right": "open", "creators": [{"name": "Sylvain Poulain", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), MARBEC Research Unit", "orcid": "0009-0005-9789-9095"}, {"name": "Isabel Urbina-Barreto", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), UMR ENTROPIE", "orcid": "0000-0002-2592-8409"}, {"name": "Julien Barde", "affiliation": "IRD, UMR MARBEC", "orcid": "0000-0002-3519-6141"}, {"name": "Aline Tribollet", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), UMR LOCEAN", "orcid": "0000-0003-2385-3682"}, {"name": "Fran\u00e7ois Guilhaumon", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), UMR ENTROPIE", "orcid": "0000-0003-4707-8932"}], "keywords": ["Future Maore Reef", "drone", "lagon", "corail", "reef"], "related_identifiers": [{"identifier": "urn:20220912_MYT-ile-blanche_UAV-02_1", "relation": "isIdenticalTo", "scheme": "urn"}], "version": "RAW DATA", "language": "fra", "license": "cc-by-4.0", "imprint_publisher": "Zenodo", "communities": [{"identifier": "uav"}], "notes": "<p></p><div class=\"ui message warning\">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br>", "upload_type": "dataset", "prereserve_doi": {"doi": "10.5281/zenodo.8436301", "recid": 8436301}}, "title": "Images drone UAV, Ile blanche, Mayotte - 20220912", "links": {"self": "https://zenodo.org/api/records/8436301", "html": "https://zenodo.org/records/8436301", "doi": "https://doi.org/10.5281/zenodo.8436301", "parent_doi": "https://zenodo.org/doi/10.5281/zenodo.8436300", "badge": "https://zenodo.org/badge/doi/10.5281%2Fzenodo.8436301.svg", "conceptbadge": "https://zenodo.org/badge/doi/10.5281%2Fzenodo.8436300.svg", "files": "https://zenodo.org/api/records/8436301/files", "bucket": "https://zenodo.org/api/files/de9f6bf6-ccad-4b08-b614-c88746ae21d8", "thumb250": "https://zenodo.org/record/8436301/thumb250", "thumbs": {"10": "https://zenodo.org/record/8436301/thumb10", "50": "https://zenodo.org/record/8436301/thumb50", "100": "https://zenodo.org/record/8436301/thumb100", "250": "https://zenodo.org/record/8436301/thumb250", "750": "https://zenodo.org/record/8436301/thumb750", "1200": "https://zenodo.org/record/8436301/thumb1200"}, "latest_draft": "https://zenodo.org/api/deposit/depositions/8436301", "latest_draft_html": "https://zenodo.org/deposit/8436301", "publish": "https://zenodo.org/api/deposit/depositions/8436301/actions/publish", "edit": "https://zenodo.org/api/deposit/depositions/8436301/actions/edit", "discard": "https://zenodo.org/api/deposit/depositions/8436301/actions/discard", "newversion": "https://zenodo.org/api/deposit/depositions/8436301/actions/newversion", "registerconceptdoi": "https://zenodo.org/api/deposit/depositions/8436301/actions/registerconceptdoi", "record": "https://zenodo.org/api/records/8436301", "record_html": "https://zenodo.org/record/8436301", "latest": "https://zenodo.org/api/records/8436301/versions/latest", "latest_html": "https://zenodo.org/record/8436301/versions/latest"}, "record_id": 8436301, "owner": 601426, "files": [{"id": "3e241168-2be5-4949-9b49-dfd1e4cddf49", "filename": "00_sample_rawdata_overview.png", "filesize": 609478, "checksum": "832b8168d10439730021e0bd6b0e9b49", "links": {"self": "https://zenodo.org/api/records/8436301/files/3e241168-2be5-4949-9b49-dfd1e4cddf49", "download": "https://zenodo.org/api/records/8436301/draft/files/00_sample_rawdata_overview.png/content"}}, {"id": "22c6b1ff-447f-407f-b773-2aa5daa923f7", "filename": "DCIM.zip", "filesize": 3595877163, "checksum": "50193542eae5cc48c2c9fcd9b8f9591a", "links": {"self": "https://zenodo.org/api/records/8436301/files/22c6b1ff-447f-407f-b773-2aa5daa923f7", "download": "https://zenodo.org/api/records/8436301/draft/files/DCIM.zip/content"}}, {"id": "9f56e3c5-ae40-4e2e-bc6d-5cbff388f389", "filename": "GPS.zip", "filesize": 7868606, "checksum": "3e769bdc355bfa7dce432ca0af084675", "links": {"self": "https://zenodo.org/api/records/8436301/files/9f56e3c5-ae40-4e2e-bc6d-5cbff388f389", "download": "https://zenodo.org/api/records/8436301/draft/files/GPS.zip/content"}}, {"id": "8d3b0af6-e53f-4210-9d23-9c06219e5961", "filename": "METADATA.zip", "filesize": 17150559, "checksum": "7ba69aa84803e6f06b7bd239aa8db5e3", "links": {"self": "https://zenodo.org/api/records/8436301/files/8d3b0af6-e53f-4210-9d23-9c06219e5961", "download": "https://zenodo.org/api/records/8436301/draft/files/METADATA.zip/content"}}], "state": "done", "submitted": true}
Dataset: 16 / 17
id:20220911_MYT-jollyroger_UAV-02_2_
doi:10.5281/zenodo.8436305_
conceptdoi:10.5281/zenodo.8436304
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{'metadata': {'title': 'Images drone UAV, Jollyroger, Mayotte - 20220911', 'publication_date': '2023-10-11', 'description': '"Jeu de données composé d’images de drone DJI Mavic 2 Pro UAV acquises sur le site de Jollyroger, Mayotte à la date suivante : 20220911.\n<br />\n<br />Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l’objectif de la mission vise à étudier l’implantation de récifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace aérien contrôlé, les vols ont été exécutés en regard de la réglmentation et en contact avec la tour de contrôle de l\'aéroport de Mayotte. \n<br />\n<br />\n<br /><b>Le dépôt est composé des éléments suivants:</b>\n<br /> - 00_: Planche d\'aperçu des images\n<br /> - DCIM.zip: Images brutes issues du drone\n<br /> - GPS.zip: Geopackage contenant l’emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d’attribut en base64\n<br /> - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br />\n<br /><b>Arborescence d\'origine:</b>\n<br />└─ 20220911_MYT-jollyroger_UAV-02_2\n<br /> └─ DCIM\n<br /> └─ GPS\n<br /> └─ METADATA\n<br /> └─ tb\n<br />\n<br /><b>Informations de survol:</b>\n<br />Différentes hauteurs de vols, angles des transects et angles de caméra ont été utilisés dans le but d\'obtenir des données de qualité en fonction des conditions météorologiques et marines.\n<br />- Camera model and parameters:\n<br /> Make: Hasselblad\n<br /> Model: L1D-20c\n<br /> Width: 5472\n<br /> Height: 3648\n<br /> Focal: 28\n<br /> WhiteBalance: Manual\n<br /> ExposureMode: Auto Exposure\n<br /> ColoSpace: sRGB\n<br /> EV: -0.7\n<br /> MeteringMode: CenterWeightedAverage\n<br /> Camera Pitch: -75.00\n<br />\n<br />- Survey informations:\n<br /> No Images: 421\n<br /> Median height: 70 meters\n<br /> Survey area: 14.57 hectares\n<br /> Survey from: 2022:09:11 09:10:56 to: 2022:09:11 09:32:31\n<br />\n<br />Les dépôts suivants comprennent les données traitées avec OpenDroneMap"', 'access_right': 'open', 'notes': '<p></p><div class="ui message warning">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br /><img src="https://github.com/IRDG2OI/geoflow-g2oi/raw/main/img/logos_partenaires.png?raw=True">', 'creators': [{'orcid': '0009-0005-9789-9095', 'name': 'Sylvain Poulain', 'affiliation': 'Institut de recherche pour le développement (IRD), MARBEC Research Unit'}, {'orcid': '0000-0002-2592-8409', 'name': 'Isabel Urbina-Barreto', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR ENTROPIE'}, {'orcid': '0000-0002-3519-6141', 'name': 'Julien Barde', 'affiliation': 'IRD, UMR MARBEC'}, {'orcid': '0000-0003-2385-3682', 'name': 'Aline Tribollet', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR LOCEAN'}, {'orcid': '0000-0003-4707-8932', 'name': 'François Guilhaumon', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR ENTROPIE'}], 'keywords': ['Future Maore Reef', 'drone', 'lagon', 'corail', 'reef'], 'related_identifiers': [{'identifier': 'urn:20220911_MYT-jollyroger_UAV-02_2', 'relation': 'isIdenticalTo', 'scheme': 'urn'}], 'version': 'RAW DATA', 'language': 'fra', 'license': 'cc-by-4.0', 'imprint_publisher': 'Zenodo', 'upload_type': 'dataset', 'communities': [{'identifier': 'umr-entropie'}]}}
<Response [200]>
Publish record
{"created": "2023-10-12T20:53:54.038724+00:00", "modified": "2023-12-01T07:33:52.590976+00:00", "id": 8436305, "conceptrecid": "8436304", "doi": "10.5281/zenodo.8436305", "conceptdoi": "10.5281/zenodo.8436304", "doi_url": "https://doi.org/10.5281/zenodo.8436305", "metadata": {"title": "Images drone UAV, Jollyroger, Mayotte - 20220911", "doi": "10.5281/zenodo.8436305", "publication_date": "2023-10-11", "description": "\"Jeu de donn\u00e9es compos\u00e9 d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Jollyroger, Mayotte \u00e0 la date suivante : 20220911.\n<br>\n<br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise \u00e0 \u00e9tudier l'implantation de r\u00e9cifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace a\u00e9rien contr\u00f4l\u00e9, les vols ont \u00e9t\u00e9 ex\u00e9cut\u00e9s en regard de la r\u00e9glmentation et en contact avec la tour de contr\u00f4le de l'a\u00e9roport de Mayotte. \n<br>\n<br>\n<br><b>Le d\u00e9p\u00f4t est compos\u00e9 des \u00e9l\u00e9ments suivants:</b>\n<br> - 00_: Planche d'aper\u00e7u des images\n<br> - DCIM.zip: Images brutes issues du drone\n<br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la g\u00e9olocalisation des images accompagn\u00e9es de leurs miniatures dans la table d'attribut en base64\n<br> - METADATA.zip: M\u00e9tadonn\u00e9es au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br>\n<br><b>Arborescence d'origine:</b>\n<br>\u2514\u2500 20220911_MYT-jollyroger_UAV-02_2\n<br> \u2514\u2500 DCIM\n<br> \u2514\u2500 GPS\n<br> \u2514\u2500 METADATA\n<br> \u2514\u2500 tb\n<br>\n<br><b>Informations de survol:</b>\n<br>Diff\u00e9rentes hauteurs de vols, angles des transects et angles de cam\u00e9ra ont \u00e9t\u00e9 utilis\u00e9s dans le but d'obtenir des donn\u00e9es de qualit\u00e9 en fonction des conditions m\u00e9t\u00e9orologiques et marines.\n<br>- Camera model and parameters:\n<br> Make: Hasselblad\n<br> Model: L1D-20c\n<br> Width: 5472\n<br> Height: 3648\n<br> Focal: 28\n<br> WhiteBalance: Manual\n<br> ExposureMode: Auto Exposure\n<br> ColoSpace: sRGB\n<br> EV: -0.7\n<br> MeteringMode: CenterWeightedAverage\n<br> Camera Pitch: -75.00\n<br>\n<br>- Survey informations:\n<br> No Images: 421\n<br> Median height: 70 meters\n<br> Survey area: 14.57 hectares\n<br> Survey from: 2022:09:11 09:10:56 to: 2022:09:11 09:32:31\n<br>\n<br>Les d\u00e9p\u00f4ts suivants comprennent les donn\u00e9es trait\u00e9es avec OpenDroneMap\"", "access_right": "open", "creators": [{"name": "Sylvain Poulain", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), MARBEC Research Unit", "orcid": "0009-0005-9789-9095"}, {"name": "Isabel Urbina-Barreto", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), UMR ENTROPIE", "orcid": "0000-0002-2592-8409"}, {"name": "Julien Barde", "affiliation": "IRD, UMR MARBEC", "orcid": "0000-0002-3519-6141"}, {"name": "Aline Tribollet", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), UMR LOCEAN", "orcid": "0000-0003-2385-3682"}, {"name": "Fran\u00e7ois Guilhaumon", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), UMR ENTROPIE", "orcid": "0000-0003-4707-8932"}], "keywords": ["Future Maore Reef", "drone", "lagon", "corail", "reef"], "related_identifiers": [{"identifier": "urn:20220911_MYT-jollyroger_UAV-02_2", "relation": "isIdenticalTo", "scheme": "urn"}], "version": "RAW DATA", "language": "fra", "license": "cc-by-4.0", "imprint_publisher": "Zenodo", "communities": [{"identifier": "uav"}], "notes": "<p></p><div class=\"ui message warning\">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br>", "upload_type": "dataset", "prereserve_doi": {"doi": "10.5281/zenodo.8436305", "recid": 8436305}}, "title": "Images drone UAV, Jollyroger, Mayotte - 20220911", "links": {"self": "https://zenodo.org/api/records/8436305", "html": "https://zenodo.org/records/8436305", "doi": "https://doi.org/10.5281/zenodo.8436305", "parent_doi": "https://zenodo.org/doi/10.5281/zenodo.8436304", "badge": "https://zenodo.org/badge/doi/10.5281%2Fzenodo.8436305.svg", "conceptbadge": "https://zenodo.org/badge/doi/10.5281%2Fzenodo.8436304.svg", "files": "https://zenodo.org/api/records/8436305/files", "bucket": "https://zenodo.org/api/files/d8d42611-f185-4e56-b43f-deefe373bfa8", "thumb250": "https://zenodo.org/record/8436305/thumb250", "thumbs": {"10": "https://zenodo.org/record/8436305/thumb10", "50": "https://zenodo.org/record/8436305/thumb50", "100": "https://zenodo.org/record/8436305/thumb100", "250": "https://zenodo.org/record/8436305/thumb250", "750": "https://zenodo.org/record/8436305/thumb750", "1200": "https://zenodo.org/record/8436305/thumb1200"}, "latest_draft": "https://zenodo.org/api/deposit/depositions/8436305", "latest_draft_html": "https://zenodo.org/deposit/8436305", "publish": "https://zenodo.org/api/deposit/depositions/8436305/actions/publish", "edit": "https://zenodo.org/api/deposit/depositions/8436305/actions/edit", "discard": "https://zenodo.org/api/deposit/depositions/8436305/actions/discard", "newversion": "https://zenodo.org/api/deposit/depositions/8436305/actions/newversion", "registerconceptdoi": "https://zenodo.org/api/deposit/depositions/8436305/actions/registerconceptdoi", "record": "https://zenodo.org/api/records/8436305", "record_html": "https://zenodo.org/record/8436305", "latest": "https://zenodo.org/api/records/8436305/versions/latest", "latest_html": "https://zenodo.org/record/8436305/versions/latest"}, "record_id": 8436305, "owner": 601426, "files": [{"id": "06556415-a5b3-4a05-a4ea-35b31eff6248", "filename": "00_sample_rawdata_overview.png", "filesize": 531401, "checksum": "7b34f7bcd040448501f586158ffe941c", "links": {"self": "https://zenodo.org/api/records/8436305/files/06556415-a5b3-4a05-a4ea-35b31eff6248", "download": "https://zenodo.org/api/records/8436305/draft/files/00_sample_rawdata_overview.png/content"}}, {"id": "59ce2e09-2a44-4d30-b9a9-113c49a9af8f", "filename": "DCIM.zip", "filesize": 4041597551, "checksum": "f15c0935b81836975bfb0eeaf7efebea", "links": {"self": "https://zenodo.org/api/records/8436305/files/59ce2e09-2a44-4d30-b9a9-113c49a9af8f", "download": "https://zenodo.org/api/records/8436305/draft/files/DCIM.zip/content"}}, {"id": "b91c7db5-9d07-4bdd-97bc-023f5c8f8f9f", "filename": "GPS.zip", "filesize": 7794022, "checksum": "567aace3f8a769c1a613a4567379db5e", "links": {"self": "https://zenodo.org/api/records/8436305/files/b91c7db5-9d07-4bdd-97bc-023f5c8f8f9f", "download": "https://zenodo.org/api/records/8436305/draft/files/GPS.zip/content"}}, {"id": "25c6986d-6b97-43d7-bdd4-68ecee6a0da7", "filename": "METADATA.zip", "filesize": 13881861, "checksum": "66484592192ff7c60ddc28dc38e62765", "links": {"self": "https://zenodo.org/api/records/8436305/files/25c6986d-6b97-43d7-bdd4-68ecee6a0da7", "download": "https://zenodo.org/api/records/8436305/draft/files/METADATA.zip/content"}}], "state": "done", "submitted": true}
Dataset: 17 / 17
id:20220911_MYT-musicalplage_UAV-02_3_
doi:10.5281/zenodo.8436311_
conceptdoi:10.5281/zenodo.8436310
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{'metadata': {'title': 'Images drone UAV, Musicalplage, Mayotte - 20220911', 'publication_date': '2023-10-11', 'description': '"Jeu de données composé d’images de drone DJI Mavic 2 Pro UAV acquises sur le site de Musicalplage, Mayotte à la date suivante : 20220911.\n<br />\n<br />Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l’objectif de la mission vise à étudier l’implantation de récifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace aérien contrôlé, les vols ont été exécutés en regard de la réglmentation et en contact avec la tour de contrôle de l\'aéroport de Mayotte. \n<br />\n<br />\n<br /><b>Le dépôt est composé des éléments suivants:</b>\n<br /> - 00_: Planche d\'aperçu des images\n<br /> - DCIM.zip: Images brutes issues du drone\n<br /> - GPS.zip: Geopackage contenant l’emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d’attribut en base64\n<br /> - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br />\n<br /><b>Arborescence d\'origine:</b>\n<br />└─ 20220911_MYT-musicalplage_UAV-02_3\n<br /> └─ DCIM\n<br /> └─ GPS\n<br /> └─ METADATA\n<br /> └─ tb\n<br />\n<br /><b>Informations de survol:</b>\n<br />Différentes hauteurs de vols, angles des transects et angles de caméra ont été utilisés dans le but d\'obtenir des données de qualité en fonction des conditions météorologiques et marines.\n<br />- Camera model and parameters:\n<br /> Make: Hasselblad\n<br /> Model: L1D-20c\n<br /> Width: 5472\n<br /> Height: 3648\n<br /> Focal: 28\n<br /> WhiteBalance: Manual\n<br /> ExposureMode: Auto Exposure\n<br /> ColoSpace: sRGB\n<br /> EV: -0.7\n<br /> MeteringMode: Average\n<br /> Camera Pitch: -90.00\n<br />\n<br />- Survey informations:\n<br /> No Images: 400\n<br /> Median height: 70 meters\n<br /> Survey area: 10.03 hectares\n<br /> Survey from: 2022:09:11 09:51:50 to: 2022:09:11 10:09:04\n<br />\n<br />Les dépôts suivants comprennent les données traitées avec OpenDroneMap"', 'access_right': 'open', 'notes': '<p></p><div class="ui message warning">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br /><img src="https://github.com/IRDG2OI/geoflow-g2oi/raw/main/img/logos_partenaires.png?raw=True">', 'creators': [{'orcid': '0009-0005-9789-9095', 'name': 'Sylvain Poulain', 'affiliation': 'Institut de recherche pour le développement (IRD), MARBEC Research Unit'}, {'orcid': '0000-0002-2592-8409', 'name': 'Isabel Urbina-Barreto', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR ENTROPIE'}, {'orcid': '0000-0002-3519-6141', 'name': 'Julien Barde', 'affiliation': 'IRD, UMR MARBEC'}, {'orcid': '0000-0003-2385-3682', 'name': 'Aline Tribollet', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR LOCEAN'}, {'orcid': '0000-0003-4707-8932', 'name': 'François Guilhaumon', 'affiliation': 'Institut de recherche pour le développement (IRD), UMR ENTROPIE'}], 'keywords': ['Future Maore Reef', 'drone', 'lagon', 'corail', 'reef'], 'related_identifiers': [{'identifier': 'urn:20220911_MYT-musicalplage_UAV-02_3', 'relation': 'isIdenticalTo', 'scheme': 'urn'}], 'version': 'RAW DATA', 'language': 'fra', 'license': 'cc-by-4.0', 'imprint_publisher': 'Zenodo', 'upload_type': 'dataset', 'communities': [{'identifier': 'umr-entropie'}]}}
<Response [200]>
Publish record
{"created": "2023-10-12T20:54:02.191043+00:00", "modified": "2023-12-01T07:34:21.130276+00:00", "id": 8436311, "conceptrecid": "8436310", "doi": "10.5281/zenodo.8436311", "conceptdoi": "10.5281/zenodo.8436310", "doi_url": "https://doi.org/10.5281/zenodo.8436311", "metadata": {"title": "Images drone UAV, Musicalplage, Mayotte - 20220911", "doi": "10.5281/zenodo.8436311", "publication_date": "2023-10-11", "description": "\"Jeu de donn\u00e9es compos\u00e9 d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Musicalplage, Mayotte \u00e0 la date suivante : 20220911.\n<br>\n<br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise \u00e0 \u00e9tudier l'implantation de r\u00e9cifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace a\u00e9rien contr\u00f4l\u00e9, les vols ont \u00e9t\u00e9 ex\u00e9cut\u00e9s en regard de la r\u00e9glmentation et en contact avec la tour de contr\u00f4le de l'a\u00e9roport de Mayotte. \n<br>\n<br>\n<br><b>Le d\u00e9p\u00f4t est compos\u00e9 des \u00e9l\u00e9ments suivants:</b>\n<br> - 00_: Planche d'aper\u00e7u des images\n<br> - DCIM.zip: Images brutes issues du drone\n<br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la g\u00e9olocalisation des images accompagn\u00e9es de leurs miniatures dans la table d'attribut en base64\n<br> - METADATA.zip: M\u00e9tadonn\u00e9es au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols.\n<br>\n<br><b>Arborescence d'origine:</b>\n<br>\u2514\u2500 20220911_MYT-musicalplage_UAV-02_3\n<br> \u2514\u2500 DCIM\n<br> \u2514\u2500 GPS\n<br> \u2514\u2500 METADATA\n<br> \u2514\u2500 tb\n<br>\n<br><b>Informations de survol:</b>\n<br>Diff\u00e9rentes hauteurs de vols, angles des transects et angles de cam\u00e9ra ont \u00e9t\u00e9 utilis\u00e9s dans le but d'obtenir des donn\u00e9es de qualit\u00e9 en fonction des conditions m\u00e9t\u00e9orologiques et marines.\n<br>- Camera model and parameters:\n<br> Make: Hasselblad\n<br> Model: L1D-20c\n<br> Width: 5472\n<br> Height: 3648\n<br> Focal: 28\n<br> WhiteBalance: Manual\n<br> ExposureMode: Auto Exposure\n<br> ColoSpace: sRGB\n<br> EV: -0.7\n<br> MeteringMode: Average\n<br> Camera Pitch: -90.00\n<br>\n<br>- Survey informations:\n<br> No Images: 400\n<br> Median height: 70 meters\n<br> Survey area: 10.03 hectares\n<br> Survey from: 2022:09:11 09:51:50 to: 2022:09:11 10:09:04\n<br>\n<br>Les d\u00e9p\u00f4ts suivants comprennent les donn\u00e9es trait\u00e9es avec OpenDroneMap\"", "access_right": "open", "creators": [{"name": "Sylvain Poulain", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), MARBEC Research Unit", "orcid": "0009-0005-9789-9095"}, {"name": "Isabel Urbina-Barreto", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), UMR ENTROPIE", "orcid": "0000-0002-2592-8409"}, {"name": "Julien Barde", "affiliation": "IRD, UMR MARBEC", "orcid": "0000-0002-3519-6141"}, {"name": "Aline Tribollet", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), UMR LOCEAN", "orcid": "0000-0003-2385-3682"}, {"name": "Fran\u00e7ois Guilhaumon", "affiliation": "Institut de recherche pour le d\u00e9veloppement (IRD), UMR ENTROPIE", "orcid": "0000-0003-4707-8932"}], "keywords": ["Future Maore Reef", "drone", "lagon", "corail", "reef"], "related_identifiers": [{"identifier": "urn:20220911_MYT-musicalplage_UAV-02_3", "relation": "isIdenticalTo", "scheme": "urn"}], "version": "RAW DATA", "language": "fra", "license": "cc-by-4.0", "imprint_publisher": "Zenodo", "communities": [{"identifier": "uav"}], "notes": "<p></p><div class=\"ui message warning\">This study was funded by the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI</div><br>", "upload_type": "dataset", "prereserve_doi": {"doi": "10.5281/zenodo.8436311", "recid": 8436311}}, "title": "Images drone UAV, Musicalplage, Mayotte - 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