Airborne LiDAR data of Mormal, Blois and Aigoual forests

Data from the ANR IMPRINT Project (2019-2023): LiDAR coverage of Mormal forest (2021-06-16 and 2021-07-19), Blois forest (2021-06-17) and Aigoual forest (2021-07-18). From this high-density airborne LiDAR, we obtained: (1) a classified LiDAR Point cloud (.las file), we hereby share a sample of this point cloud, representing a 20 m buffer around each of our 60 plots in each forest, (2) a table of structural metrics extracted for each plot from the LiDAR point cloud, calculated on different buffer sizes from 1 to 100 meters. These data can be joined to the spatial data by the id_plot.

本数据集源自ANR IMPRINT项目（2019-2023），包含三处森林的激光雷达（LiDAR）覆盖数据：莫尔马尔（Mormal）森林（2021-06-16与2021-07-19）、布卢瓦（Blois）森林（2021-06-17）以及艾古阿勒（Aigoual）森林（2021-07-18）。基于这套高密度机载激光雷达数据，我们获取了两类成果：(1) 分类后的激光雷达点云（.las格式文件），本次我们共享该点云的样本数据，即每处森林中60个样地周边20米缓冲区范围的点云；(2) 针对每个样地从激光雷达点云中提取的结构指标表，该指标基于1至100米不等的缓冲区尺寸计算所得。上述数据可通过样地ID（id_plot）与空间数据进行关联。