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Synchronous estimation of DTM and fractional vegetation cover in forested area from airborne LIDAR height and intensity data
Authors:BAO YunFei    CAO ChunXiang  ZHANG Hao  CHEN ErXue  HE QiSheng  HUANG HuaBing  LI ZengYuan  LI XiaoWen   & GONG Peng State Key Laboratory of Remote Sensing Science  jointly sponsored by the Institute for Remote Sensing Applications of Chinese Academy of Sciences    Beijing Normal University  Beijing   China   Graduate University of the Chinese Academy of Sciences  Beijing
Affiliation:BAO YunFei1,2,CAO ChunXiang1,ZHANG Hao1,CHEN ErXue3,HE QiSheng1,HUANG HuaBing1,LI ZengYuan3,LI XiaoWen1,4 & GONG Peng1 1 State Key Laboratory of Remote Sensing Science,jointly sponsored by the Institute for Remote Sensing Applications of Chinese Academy of Sciences , Beijing Normal University,Beijing 100101,China,2 Graduate University of the Chinese Academy of Sciences,Beijing 100049,3 Institute of Forest Resource Information Technique,the Chinese Academy of Forestry,Beijing 100091,4 Researc...
Abstract:We proposed a method to separate ground points and vegetation points from discrete return,small footprint airborne laser scanner data,called skewness change algorithm.The method,which makes use of intensity of laser scanner data,is especially applicable in steep,and forested areas.It does not take slope of forested area into account,while other algorithms consider the change of slope in steep forested area.The ground points and vegetation points can be used to estimate digital terrain model(DTM) and fractio...
Keywords:LIDAR  intensity  skewness  synchronous  DTM  fractional vegetation cover  
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