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World Forestry Research. 2014, (02) Core

Research Progress in Estimating Forest Tree Height Using Small Footprint Lidar DataChinese Full Text

Xing Yanqiu;You Haotian;Huo Da;Sun Xiaotian;Wang Rui;Center for Forest Operations and Environment,Northeast Forestry University;

Abstract: Small footprint LiDAR can simultaneously get both vertical and horizontal forest structure parameters and help accurately estimate the structural parameters of single tree owing to its smaller footprint size,and therefore it can be used in plots and even larger regions. Because of this,it has been widely used in forestry in recent years. This paper studied the tree height estimate using small footprint LiDAR. Based on literature reviews,the problems limiting the accuracy of forest tree height estimate were listed,including point cloud classification algorithm,point cloud density,forest canopy density,individual tree segmentation and so on. Finally,some solutions to the problems were put forward.
Keywords：

small footprint LiDAR; tree height; point cloud density; individual tree segmentation;

  • DOI：

    10.13348/j.cnki.sjlyyj.2014.02.006

  • Series：

  • Subject：

  • Classification Code：

    S771.8;S758.5

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