无人机激光雷达林业资源参数提取

封面图片为美国加州内华达山脉森林区域的无人机激光雷达数据及其单木分割结果。无人机激光雷达数据由北京大学郭庆华团队自主研发的八悬翼无人 机激光雷达系统采集，该系统集成了长距离激光雷达扫描仪、GNSS 和 IMU 定位定姿系统，可实时、动态地采集海量高精度点云数据。利用该团队自 主研发的点云滤波、归一化和单木分割等激光雷达数据处理算法，可实现森林点云中每木点云的分割，及树位置、树高、胸径、树冠表面积及体积等森 林结构参数的自动提取。激光雷达获取的森林三维信息在提取和反演森林信息等方面具有优势，可有力支撑森林资源调查、森林火灾损失定量评估、森 林经营与管理和森林生态研究。

Application of UAV lidar technology in forest resources inventory

The cover image shows the UAV light detection and ranging (lidar) data and its individual tree segmentation results of a forest in the Sierra Nevada Mountains, California, USA. The UAV lidar data was collected by an eight-rotor UAV lidar system, developed by the team leading by Prof. Qinghua Guo from Peking University. This UAV lidar system integrated a long-range laser scanner, two Global Navigation Satellite System (GNSS) receivers, and an Inertial Measurement Unit (IMU) sensor, which provides a powerful tool for accurately capturing threedimensional (3D) structure of forests with a high level of details. Through a self-developed workflow consisted of point cloud filtering, normalization, and individual tree segmentation, the UAV lidar data can be used to extract various forest structural attributes accurately and efficiently, such as tree height, diameter at breast height, crown surface area, and crown volume. The strong capability of UAV lidar in capturing 3D forest structural information and attributes makes it a promising tool for managing forest resources, assessing forest wildfire damages, and understanding forest ecosystem processes.