西南林业大学学报2024，Vol.44Issue(3)：127-134,8.DOI:10.11929/j.swfu.202211067
基于星载激光雷达ICESat-2/ATLAS数据的森林郁闭度估测研究
Estimation of Forest Canopy Closure Based on Spaceborne LiDAR ICESat-2/ATLAS Data
摘要
Abstract
Taking Shangri-La City,Yunnan Province as the research area,based on ICESat-2/ATLAS data,the remote sensing forest canopy density estimation models were established by random forest regression,gradi-ent boosting tree regression and nearest neighbor regression,respectively.The optimal model was selected to in-vert the forest canopy closure within the study area spots.The results showed that random forest modeling was the best method to estimate forest canopy closure,the coefficient of determination(R2)was 0.9446,mean square error(RMSE)was 0.0560 and the prediction accuracy(P)was 90.60％.The predicted values of canopy closure corres-ponding to 74 873 effective forest spots in Shangri-La City were obtained,and the spatial distribution map of can-opy closure of all forest spots in the city was obtained by combining the spot center coordinates.The results can provide a reference for remote sensing estimation of forest canopy closure at low-high altitude areas.关键词
激光雷达/ICESat-2/郁闭度/随机森林Key words
LiDAR/ICESat-2/canopy closure/random forest分类
农业科技引用本文复制引用
魏治越,李浩,舒清态,席磊,宋涵玥,邱霜,杨泽至..基于星载激光雷达ICESat-2/ATLAS数据的森林郁闭度估测研究[J].西南林业大学学报,2024,44(3):127-134,8.基金项目
云南省农业联合专项重点项目(202301BD070001-002)资助 （202301BD070001-002）
国家自然科学基金项目(31860205,31460194)资助 （31860205,31460194）
云南省教育厅科学研究基金项目(2021Y249)资助. （2021Y249）
