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| Main Authors: | , |
|---|---|
| Format: | Recurso digital |
| Language: | English |
| Published: |
Zenodo
2025
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| Subjects: | |
| Online Access: | https://doi.org/10.5281/zenodo.16539574 |
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Table of Contents:
- <div> <p>The datasets comprise high-resolution RGB orthomosaics captured by an unoccupied aerial vehicle (UAV), containing only forest floor information from Jenaer Forst, Germany.</p> <p>The UAV RGB imagery was acquired using a DJI Phantom 4 Pro on March 10, 2022. A real-time kinematic (RTK) sensor, in combination with the SAPOS positioning service, was used to georeference the data. The RGB images were processed using a Structure-from-Motion (SfM) workflow implemented in the software Agisoft Metashape (see processing report for more details).</p> <p>Four different camera exposure settings were used in four separate flights over the same area. The exposure values (EV) applied were -3, -1, +1, +3, representing a range from underexposure to overexposure.</p> <p>The resulting SfM point cloud was terrain-normalized and filtered using rapidlasso LASTools. Only points with heights between -0.5 m and 5.0 m were rasterized with a pixel size of 5 cm to generate the ground orthomosaic (<span>EPSG: 25832).</span></p> </div>