Airborne laser scanning single tree detection NEWFOR benchmark dataset
收藏DataCite Commons2025-05-16 更新2025-04-16 收录
下载链接:
https://entrepot.recherche.data.gouv.fr/citation?persistentId=doi:10.57745/BXJBVH
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资源简介:
In total 14 different study areas in 4 countries of the Alpine Space are made available. The following data are provided for each study area (number XX): Airborne Laser Scanning data in XX_ALS.laz (LAZ format cf https://laszip.org/) Digital Terrain Model (DTM) in XX_DTM.tif (1x1m or 0.5x0.5m spatial resolution) Forest Inventory (FI) data in XX_ref.shp (ESRI shapefile) Area of Interest in XX_AoI.shp (ESRI shapefile) Metadata in XX_Metadata.pdf Statistical Parameters about the FI data can be found in this publication: Eysn, L.; Hollaus, M.; Lindberg, E.; Berger, F.; Monnet, J.-M.; Dalponte, M.; Kobal, M.; Pellegrini, M.; Lingua, E.; Mongus, D.; Pfeifer, N. A Benchmark of Lidar-Based Single Tree Detection Methods Using Heterogeneous Forest Data from the Alpine Space. Forests 2015, 6, 1721-1747. DOI:10.3390/f6051721 All study areas used in the publication are present in this dataset, except study areas number 05, 12, 13 and 14 (due to copyright issues).
提供机构:
Recherche Data Gouv
创建时间:
2023-03-17



