三峡库区森林叶面积指数多模型遥感估算  

Multi-model estimation of forest leaf area index in the Three Gorges Reservoir area

作　　者：董立新 DONG Lixin(Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites,Beijing 100081,China;National Satellites Meteorological Center,Beijing 100081,China;The Joint Center for SatelliteResearch and Applications,Chinese Academy of Meteorological Sciences,Beijing 100081,China)

机构地区：[1]中国遥感卫星辐射测量与定标重点开放实验室 [2]国家卫星气象中心 [3]中国气象局卫星应用联合研究中心

出　　处：《国土资源遥感》2019年第2期73-81,共9页Remote Sensing for Land & Resources

基　　金：国家高分辨率对地观测重大专项项目“基于GF-5热红外数据的大气校正与农田干旱监测应用示范”(编号:11-Y20A32-9001-15/17);国家气候变化专项“气候与CO2浓度变化对高寒植被影响遥感评估”(编号:CCSF-14-06);公益性行业专项第三次青藏高原大气科学考查试验课题“青藏高原卫星反演产品校验外场观测试验与产品改进与资料同化研究”(编号:GYHY201406001-01);国务院三峡办项目“三峡工程生态与环境遥感动态与实时监测”(编号:SX2002-004)共同资助

摘　　要：叶面积指数(leaf area index,LAI)是定量研究森林生态系统能量交换的一个重要结构参数。本文利用野外观测LAI,以及Landsat TM计算的7种常用植被指数和5个自定义植被指数,通过筛选建立了不同森林类型的LAI估算模型,其中,针叶林采用多元逐步回归模型,阔叶林与混交林采用主成分分析模型,最终通过多个模型估算三峡库区区域尺度森林LAI。利用样地实测LAI数据进行精度验证,针叶林、阔叶林和混交林的均方根误差分别为0.829 4,1.111 5 和1.790 9,判定系数 R 2 均达到了0.77以上。研究结果将为森林生态系统和碳循环研究提供基础数据。Leaf area index (LAI) is an important structural variable for quantitative study of the energy exchange characteristics of forest ecosystems.Based on field observations of LAI,7 kinds of vegetation indexes and 5 custom vegetation indexes based on Landsat TM,LAI estimation model of different forest types were established through the model screening,in which the multiple regression model for coniferous forest and principal component analysis model for broad-leaved forest and mixed forest were used.Finally,the regional scale forest LAI distribution map was made through multiple model estimation.The accuracy of LAI is 0.829 4,1.111 5 and 1.790 9 for coniferous forest,broad-leaved forest and mixed forest respectively.And the total R 2 is over 0.77 for all the forests.The results will provide basic data for forest ecosystem and carbon cycle studies.

关 键 词：森林叶面积指数 植被指数法 主成分分析 三峡库区 遥感 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]