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Extracting height and crown of individual tree using airborne LIDAR data

LIU Qing-wang;LI Zeng-yuan;CHEN Er-xue;PANG Yong;WU Hong-gan.Research Institute of Forest Resource Information Techniques,Chinese Academy of Forestry,Beijing,100091,P.R.China.  
Airborne LIDAR is an active remote sensing technique.The 3D(three-dimensional) structural characteristics of individual tree can be observed with high sampling density LIDAR in forests,and produce changeable accuracy of individual tree parameters based on the different approaches of data processing using airborne LIDAR.This study analyzes the extraction of algorithms from individual tree height and crown diameters and develops a double-tangent crown recognition algorithm according to individual tree features using high sampling density airborne LIDAR data(discrete-return,average laser pulse sampling space is 0.52 m,average footprint diameter is 0.3 m).Accompanying the nine field plots of data from the Tieshanping Forest Farm in Chongqing City,southwestern China,this study validates the extraction results of tree height and crown diameters at individual tree and plot levels.The results showed that R~2 of height and crown diameters for individual tree was 0.34 and 0.03,respectively.R~2 of average height and crown diameter for sample plots was 0.97 and 0.71,respectively.This correlation at the plot level is obviously higher than that of any given individual tree level.
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