作　　者： ; ; ; ;

机构地区： 中国科学院遥感应用研究所遥感科学国家重点实验室

出　　处： 《测绘科学》 2010年第6期47-49,共3页

摘　　要： 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。 The research estimated the representative species parameters of individual trees using the point cloud data of airborne LIDAR obtained by simultaneous remote sensing and ground-based experiment in the Heihe River Basin.Firstly,the CHM （canopy height model） was created from point cloud data.Then,the parameters of individual trees were extracted,such as tree height,crown diameter etc.The diameters at breast height （DBH） of individual trees were estimated using relative growth equation.Finally,the biomass of individual trees of representative species ware obtained.Field surveying scheme designed a 100m × 100m super plot,which was divided into 16 subplots by 25m × 25m size.The accurate position of individual trees was surveyed by DGPS and total station.Individual trees of field surveying and extracted result were matched by geographic position.

关 键 词： 激光雷达 点云 林木参数 野外试验

领　　域： [自动化与计算机技术] [自动化与计算机技术]