Orthophoto & DEM from drone images, UAV, Aldabra arm06, Seychelles - 20221023 - 02_20
Orthophoto & DEM from drone images, UAV, Aldabra arm06, Seychelles - 20221023 - 02_20
"This dataset presents the results of the photogrammetry process using images collected by an Unmanned Aerial Vehicle in Aldabra arm06, Seychelles, on 20221023 The processing was carried out with the OpenDroneMap software from the raw images provided in the first version of this DOI. Underwater or aerial images collected by scientists or citizens can have a wide variety of uses for science, ecosystems management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on such images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. The parameters of the OpenDroneMap software are shared so that the proposed processes can be reproduced or improved: [ { 'name': 'orthophoto-resolution', 'value': 1 }, { 'name': 'auto-boundary', 'value': true }, { 'name': 'dem-resolution', 'value': '2.0' }, { 'name': 'dsm', 'value': true } ] The depot consists of the following elements: - 00_: Image preview panel - DCIM.zip: RAW images from UAV - GPS.zip: GIS file (Geopackage) containing the overflight area as well as the geolocation of the images accompanied by their thumbnails in the base64 attribute table. - METADATA.zip: Exif metadata in CSV format, OGC metadata in ISO19115 / 39 XML format, flight reports with thumbnails of drone images and flight statistics (html or pdf files), - PROCESSED_DATA.zip: Orthophoto, DEM, point cloud, ... Original tree structure: │ └─ 20221023_SYC-aldabra-arm06_UAV-02_20 │-------- └─ DCIM │-------- └─ GPS │-------- └─ METADATA │-------- └─ PROCESSED_DATA Flight survey information: - Camera model and parameters: Make: Hasselblad Model: L1D-20c Width: 5472 Height: 3648 Focal: 28 WhiteBalance: Manual ExposureMode: Auto Exposure ColoSpace: sRGB EV: -0.7 MeteringMode: CenterWeightedAverage Camera Pitch: -75.00 - Survey informations: No Images: 294 Median height: 70 meters Survey area: 19.84 hectares Survey from: 2022:10:23 10:27:13 to: 2022:10:23 10:48:11 "
This work received funding from Monaco Exploration, Ifrermer - Indian ocean and from the European Regional Development Fund (ERDF) within the programme Interreg V 2014-2020 through the project G2OI
orthophotography, UAV, Computer Vision, drone, photogrammetry, Remote Sensing, Deep Learning, Artificial Intelligence, Global Coral Reef Monitoring Network, Reef Ecosystem, opendata, uas, G2OI, Ecology, uav, OpenDroneMap, Monaco Explorations, DEM, Citizen Sciences, Seatizen, Structure from Motion, Coral Reef Habitat, lagoon, Mapping, Bathymetry, FOS: Biological sciences, digital elevation model, SfM, GeoAI, Explorations de Monaco, Indian ocean, Coral Reef, CNN, grand observatoire de l'océan Indien
orthophotography, UAV, Computer Vision, drone, photogrammetry, Remote Sensing, Deep Learning, Artificial Intelligence, Global Coral Reef Monitoring Network, Reef Ecosystem, opendata, uas, G2OI, Ecology, uav, OpenDroneMap, Monaco Explorations, DEM, Citizen Sciences, Seatizen, Structure from Motion, Coral Reef Habitat, lagoon, Mapping, Bathymetry, FOS: Biological sciences, digital elevation model, SfM, GeoAI, Explorations de Monaco, Indian ocean, Coral Reef, CNN, grand observatoire de l'océan Indien
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