Enregistré dans:
| Auteurs principaux: | , , |
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| Format: | Dataset Open Access |
| Langue: | en |
| Publié: |
PANGAEA
2026
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| Sujets: | |
| Accès en ligne: | https://doi.org/10.1594/PANGAEA.993863 |
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Table des matières:
- The dataset comprises a Canopy Height Model (CHM) derived from UAV-LiDAR surveys of a native Nothofagus forest in Patagonia. Data acquisition was conducted during the 2024 austral summer (leaf-on season) using a YellowScan® Surveyor Ultra LiDAR system, equipped with a Hesai XT32M2X scanner and mounted on a DJI® Matrice 300 RTK quadcopter. The laser scanner operates at a wavelength of 903 nm, emitting 640,000 pulses per second and recording up to three echoes per pulse, with a system accuracy of approximately ±3 cm. Survey flight parameters were as follows: a mean flying altitude of 100 m above ground level, a flight speed of 5 m s⁻¹, and a 70° field of view. The average point density achieved was 178 ppsm, utilizing a simple grid pattern with a 60% swath overlap and 60 m spacing between adjacent flight lines. Post-processing of the trajectories was performed using Applanix POSPac software to generate Smooth Best Estimated Trajectory (SBET) files, integrated with base station data from a GNSS Spectra SP60 L1/L2 receiver positioned over a known geodetic point. Subsequently, YellowScan CloudStation software was employed for strip adjustment and the classification of terrain and non-terrain points. A Digital Terrain Model (DTM) and a Digital Surface Model (DSM) were generated at a spatial resolution of 0.5 m. The CHM was then calculated as the algebraic difference between the DSM and the DTM. Finally, RStudio (version 2025.09.2+418) was utilized to filter outliers exceeding 50 m in height — reclassifying such values as N/A — and to reproject the resulting CHM to the WGS 84 geographic coordinate system (EPSG:4326).