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Canopy Height Model based on UAV-LiDAR surveys in 2024 in Patagonia, Rio Negro Province, Argentina

Fuente: PANGAEA

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Détails bibliographiques
Auteurs principaux:	Lencinas, José Daniel, Mohr-Bell, Diego, Díaz, Gastón M
Format:	Dataset Open Access
Langue:	en
Publié:	PANGAEA 2026
Sujets:	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
Accès en ligne:	Acceder al recurso
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Internet

https://doi.org/10.1594/PANGAEA.993863