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本文通过黑河流域遥感—地面观测同步试验,获取林木参数,对机载激光雷达与实地观测获取的林木参数进行对比分析,论证了本文提出的基于机载激光雷达点云数据提取林木参数的算法是可行的。试验通过机载激光雷达点云数据,研究由点云数据生成冠层高度模型(CHM),提出从CHM中提取单株木参数(树高、冠幅等)的关键算法;同时,通过在试验区布设1个100m×100m超级样地和16个25m×25m的子样地,利用DGPS和全站仪对单株木进行精确定位与树木参数测量。
In this paper, the synchronization of the Heihe River Basin remote sensing - ground observation to obtain the parameters of forest trees, airborne lidar and field observations obtained by comparing the tree parameters, demonstrated that the algorithm proposed in this paper based on airborne lidar point cloud data extracted forest parameters feasible. Based on the data from point cloud of airborne lidar, the model of canopy height (CHM) was generated from point cloud data. A key algorithm of extracting single tree parameters (tree height, crown, etc.) from CHM was proposed. At the same time, One 100m × 100m super sample plot and 16 sub-sample plots of 25m × 25m were arranged in the district. The precise positioning and tree parameter measurement of the single wood were carried out by DGPS and total station.