*This list is aimed at being a guide for a typical drone flight, this is not an exhaustive list and metadata requirements may vary depending on the aims of a drone exercise.
Orthomosaic | A photogrammetrically orthorectified image product mosaicked from an image collection. The preferred image format is Cloud Optimised GeoTIFF (COG). COGs can be created using rasterio or gdal tools. It is important to know the resolution and projection of the orthomosaic. |
Zipped Raw Data | All images collected during the drone flight zipped up with any other supporting information that may be of use . |
UAV Model | eg DJI Matrice 300 RTK |
Sensors | eg Micasense RedEdge-MX Dual. If Multispectral, provide information on the different bands being collected. |
GNSS Receiver | eg M300 |
Mobile Station | eg D RTK 2 |
Post Processing Software | eg Agisoft Metashape Professional |
Date | eg 15/12/2021 |
Time | eg between 10:26 am and 10:47 am AEDT |
Long Lat of Site | eg 146.47336,-42.23295 |
Height | eg 80m |
Forward and Site Overlaps | eg 80% |
Name and contact details of collaborators to appear in the metadata | |
How you would like the citation to be written | Lucieer, A. , Sivanandam, P. , Turner, D. (2022): Unmanned Aircraft Systems (UAS) RGB orthomosaic - Cockatoo Hills, Tasmania. Version 1.0.0. Terrestrial Ecosystem Research Network (TERN). |