Canopy Height Model based on UAV-LiDAR surveys in 2024 in Patagonia, Rio Negro Province, Argentina
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| Format: | Dataset Open Access |
| Language: | en |
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PANGAEA
2026
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| _version_ | 1867171058785714176 |
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| author | Lencinas, José Daniel Mohr-Bell, Diego Díaz, Gastón M |
| author_facet | Lencinas, José Daniel Mohr-Bell, Diego Díaz, Gastón M |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | 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). |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_993863 |
| institution | PANGAEA |
| language | en |
| publishDate | 2026 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Canopy Height Model based on UAV-LiDAR surveys in 2024 in Patagonia, Rio Negro Province, Argentina Lencinas, José Daniel Mohr-Bell, Diego Díaz, Gastón M canopy cover; Canopy Height Model; Canopy Height Model (CHM); derived from UAV-LiDAR surveys; CHM; Code (EPSG); Event label; File content; Forest type; Geodetic system; Height aboveground, maximum; Height aboveground, minimum; KLIMNEM; Latitude, northbound; Latitude, southbound; Lidar; Longitude, eastbound; Longitude, westbound; mountain native forest; Number of layers; Number of pixel, column; Number of pixel, row; Province of Río Negro, Patagonia, Argentina; Raster cell size; Raster graphic, GeoTIFF format; Raster graphic, GeoTIFF format (File Size); Raster graphic, GeoTIFF format (Media Type); see description in data abstract; Sustainable forest management in temperate deciduous forests - northern hemisphere beech (Fagus) and southern hemisphere southern (Nothofagus) beech forests; temperate forests; UAV; UAV_CHM_RioNegro_ElTuco; Unmanned Aerial Vehicle (UAV), DJI Technology Co, Matrice 300 RTK; coupled with a Light Detection and Ranging scanner (LiDAR), YellowScan, Surveyor Ultra; equipped with mid-range LiDAR scanner, Hesai, XT32M2X 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). |
| title | Canopy Height Model based on UAV-LiDAR surveys in 2024 in Patagonia, Rio Negro Province, Argentina |
| topic | canopy cover; Canopy Height Model; Canopy Height Model (CHM); derived from UAV-LiDAR surveys; CHM; Code (EPSG); Event label; File content; Forest type; Geodetic system; Height aboveground, maximum; Height aboveground, minimum; KLIMNEM; Latitude, northbound; Latitude, southbound; Lidar; Longitude, eastbound; Longitude, westbound; mountain native forest; Number of layers; Number of pixel, column; Number of pixel, row; Province of Río Negro, Patagonia, Argentina; Raster cell size; Raster graphic, GeoTIFF format; Raster graphic, GeoTIFF format (File Size); Raster graphic, GeoTIFF format (Media Type); see description in data abstract; Sustainable forest management in temperate deciduous forests - northern hemisphere beech (Fagus) and southern hemisphere southern (Nothofagus) beech forests; temperate forests; UAV; UAV_CHM_RioNegro_ElTuco; Unmanned Aerial Vehicle (UAV), DJI Technology Co, Matrice 300 RTK; coupled with a Light Detection and Ranging scanner (LiDAR), YellowScan, Surveyor Ultra; equipped with mid-range LiDAR scanner, Hesai, XT32M2X |
| url | https://doi.org/10.1594/PANGAEA.993863 |