基于机载LiDAR数据的林分平均高及郁闭度反演  

Inversion of Forest Height and Canopy Closure Using Airborne LiDAR Data

作　　者：穆喜云[1] 张秋良[1] 刘清旺[2] 庞勇[2] 胡凯龙[3] 

机构地区：[1]内蒙古农业大学,呼和浩特010019 [2]中国林业科学研究院资源信息研究所 [3]中国矿业大学

出　　处：《东北林业大学学报》2015年第9期84-89,共6页Journal of Northeast Forestry University

基　　金：林业公益性行业科研专项(201204101-02);国家高技术研究发展计划("863"计划)子课题(2013AA12A302);国家科技支撑计划子课题(2012BAH34B0203);国家自然科学基金青年科学基金项目(41201334)

摘　　要：以内蒙古大兴安岭森林生态系统国家野外科学观测研究站为研究区,通过2012年8月至9月获取的机载激光雷达数据与地面同步调查样地数据,构建林分平均高反演模型和林分内郁闭度反演模型。结果表明:混交林、阔叶林和针叶林的林分平均高估测精度依次为95.66%、94.11%和90.71%,林分郁闭度估测精度依次为92.73%、56.62%和85.19%。不同森林类型的林分平均高与郁闭度反演精度存在显著性差异。In the Daxing＇ an Mountains in Inner Mongolia State Forest Ecosystem Station, with the Airborne LiDAR data and field measured plots data in August to September in 2012, we built the forest height model and forest canopy closure mod- el, respectively. The forest height accuracies in mixed forests, broad-leaved and coniferous forest were 95.66%, 94.11% and 90.71%, respectively, and the forest canopy closure accuracies were 92.73%, 56.62% and 85.19%, respectively. There was significant difference in forest height and forest canopy closure inversion on different forest types.

关 键 词：激光雷达 点云 树高 郁闭度 冠层高度模型 反演 

分 类 号：S771.8[农业科学—森林工程]