高技术通讯2016，Vol.26Issue(3)：264-274,11.DOI:10.3772/j.issn.1002-0470.2016.03.006
机载激光雷达和高光谱组合系统的亚热带森林估测遥感试验
The remote sensing experiment on airborne LiDAR and hyperspectral integrated system for subtropical forest estimation
摘要
Abstract
To improve the accuracy of forest ’ s type extraction and biophysical parameters inversion , an aviation experi-ment on the typical subtropical forest area in Hubei was conducted by using the Airborne Light detection and ran -ging and Hyperspectral Integrated System ( ALHIS) , and acquired the point cloud data and the hyperspectral and CCD ( Charge Couple Device ) images.The forest heights were extracted and the dominate tree species were identi-fied by using these data .The estimation accuracy of average height reached 90 .67%at stand level .The correlation between the average height estimated by using the light detection and ranging ( LiDAR) and the average height of field measurements weighted by DBH (diameter at breast height) was significant (R2 =0.73, RMSE=1.29m). According to the dominant tree species classification , the average heights of Pinusmassoniana Lamb., Quercusvaria-bilis Bl.and other species were 9.62m, 9.30m and 8.79m, respectively.The variation between different species was not significant .The classification accuracy of dominant tree species using hyperspectual image was 82.00%(Kappa=0.70).The proportions of the forest area and the non-forest area were 60.01%and 39.99%respective-ly.The proportions of the areas of Pinusmassoniana Lamb., Quercusvariabilis Bl.and other species were 59.77%, 24 .99%and 15 .23%, respectively .The experiment shows that the ALHIS can acquire high resolution remote sensing data describing vegetation characteristics for forest mapping , dominant tree species /group species recogni-tion, carbon estimation, ecological environment modeling , etc.关键词
森林高度/优势树种/激光雷达(LiDAR)/高光谱/分类Key words
forest height/dominant tree species/light detection and ranging ( LiDAR)/hyperspectual/clas-sification引用本文复制引用
刘清旺,谭炳香,胡凯龙,樊雪,李增元,庞勇,李世明..机载激光雷达和高光谱组合系统的亚热带森林估测遥感试验[J].高技术通讯,2016,26(3):264-274,11.基金项目
863计划（2013AA12A302），国家自然科学基金（41201334）和国家科技支撑计划（2012BAH34B02）资助项目。 （）
