Towards accurate individual tree parameters estimation in dense forest: optimized coarse-to-fine algorithms for registering UAV and terrestrial LiDAR data

Since TLS data is too big to upload, the dataset can only contain the example ULS point cloud data in different forest types (i.e., coniferous, mixed broadleaf-coniferous, broadleaf) before coarse-to-fine registration. The fused TLS and ULS data after registration can be used for the estimation of individual tree parameters (i.e., DBH and tree height) . B-1ULS and B-3ULS represent the ULS data of plot 1 and 3 in broadleaf forests, respectively; C-2ULS and C-4ULS represent the ULS data of plot 2 and 4 in coniferous forests, respectively; M-1ULS and M-2ULS represent the ULS data of plot 1 and 2 in mixed broadleaf-coniferous forests, respectively.

由于地面激光扫描（Terrestrial Laser Scanning，TLS）数据体量过大无法上传，本数据集仅包含不同林型（即针叶林、针阔混交林、阔叶林）在粗精配准前的示例无人机激光扫描（Unmanned Laser Scanning，ULS）点云数据。配准后的融合TLS与ULS数据可用于单木参数（即胸径（Diameter at Breast Height，DBH）与树高）的估算。其中，B-1ULS与B-3ULS分别代表阔叶林样地1与样地3的ULS数据；C-2ULS与C-4ULS分别代表针叶林样地2与样地4的ULS数据；M-1ULS与M-2ULS分别代表针阔混交林样地1与样地2的ULS数据。