基于无人机激光雷达点云的单木生物量估测

Single Wood Biomass Estimation Based on UAV Lidar Point Cloud

为提高森林单木生物量估测精度和效率,本研究基于无人机激光雷达技术对某市林业示范基地的水曲柳、樟子松样地进行点云数据获取及单木生物量估测。研究通过对采集到的点云资料进行树高、冠幅等单一木质建筑的参数的优化处理;在此基础上,利用修正的凸包方法对树冠体积、树冠投影区域进行了提取。将以上所得的单一木质构件的参数应用到常规CAR生物量模式中,利用无人机的雷达点云资料,构建了单一木材的生物量模式。

In order to improve the estimation accuracy and efficiency of forest single-tree biomass,this study based on UAV lidar technology to obtain point cloud data and single-tree biomass data acquisition of Ash and Pinus sylvestris in a forestry demonstration base in a city.estimate.In this paper,the parameters of single wooden buildings such as tree height and crown width are optimized through the collected point cloud data.On this basis,the crown volume and crown projection area are extracted by the modified convex hull method.On this basis,the parameters of the single wood component obtained above were applied to the conventional CAR biomass model,and the single wood biomass model was constructed by using the radar point cloud data of the UAV.