基于LIDAR数据的林冠层三维信息模型的提取与应用

该文应用机载激光雷达数据,获得了高精度的树冠底部地形信息及树高信息,提取了包含植被冠层高度的数字表面模型,即林冠层三维信息模型(DCM),结合研究区的数字高程模型(DEM)可以获得用常规方法很难准确获取的森林植被参数,如冠层垂直结构、森林高度、郁闭度等.在此基础上,制作了研究区的林木高度图,具有直观、形象等特点,有助于林业部门及时、准确地掌握森林资源相关信息,并可利用DCM获得森林密度、胸高断面积、蓄积量(生物量)及单木参数等森林植被参数.

Extraction and application of 3D model from LIDAR data of canopy.

Using LIDAR data,the authors gained high accuracy geography information of canopy bottom and tree height data,and extracted the digital canopy model(DCM) which includes the crown height.Forest vegetation parameters were acquired by combining DCM with the digital elevation model(DEM),such as the canopy vertical structure,tree height,canopy density,which cannot be accurately obtained by traditional digital photogrammetry methods.Based on this,the authors gained an intuitionistic and visual chart of average forest height in the study area,which is helpful for forestry departments to manage forest resources in time and accurately.Using DCM,forest vegetation parameters also can be obtained,including forest density,basal area,stand volume(biomass) and individual tree parameter,etc.