Airborne laser scanning single tree detection NEWFOR benchmark dataset

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).

本数据集共计提供阿尔卑斯空间4个国家的14个独立研究区域的数据。针对每个编号为XX的研究区域，配套提供以下数据：存储于XX_ALS.laz的机载激光扫描（Airborne Laser Scanning, ALS）数据，格式为LAZ（详见https://laszip.org/）；存储于XX_DTM.tif的数字地形模型（Digital Terrain Model, DTM）数据，空间分辨率为1×1米或0.5×0.5米；存储于XX_ref.shp的森林资源清查（Forest Inventory, FI）数据，格式为ESRI形状文件；存储于XX_AoI.shp的兴趣区域（Area of Interest, AoI）范围数据，格式为ESRI形状文件；存储于XX_Metadata.pdf的元数据文件。森林资源清查数据的统计参数可参考以下文献：Eysn, L.; Hollaus, M.; Lindberg, E.; Berger, F.; Monnet, J.-M.; Dalponte, M.; Kobal, M.; Pellegrini, M.; Lingua, E.; Mongus, D.; Pfeifer, N. 基于阿尔卑斯空间异构森林数据的激光雷达单木检测方法基准测试. 《森林》(Forests), 2015, 6, 1721-1747. DOI:10.3390/f6051721。本数据集包含该文献中除编号05、12、13及14之外的所有研究区域，因版权问题未纳入上述四个研究区域。