华南农业大学学报Issue(3)：100-104,110,6.
大气校正模型对阔叶林叶面积指数遥感估算的影响
Effects of atmospheric correction on remote sensing estimation of LAI of broadleaved forest
摘要
Abstract
[Objective]This study aimed to provide a scientific basis for selecting the atmospheric correc-tion model prior to the quantitative extraction of leaf area index of broadleaved forest at a regional scale using remote sensing.[Method]6S model, FLAASH model, and ATCOR2 model were used respectively on Landsat 8 OLI image for the atmospheric correction to analyze the correlation of these three kinds of leaf area index ( LAI) of broadleaved forest and a variety of vegetation index ( VI) , establishing the line-ar and nonlinear regression model of LAI-VI.The root mean square error and correlation of validation da-ta set of LAI predicted value ( Y) and the LAI measured values ( X) were calculated .[Result and con-clusion]The ATCOR2 model was not suitable for building broadleaved forest LAI-VI regression model;in addition to the RVI, for FLAASH model and 6S model, LAI of broadleaved forest had a good correlation with EVI, MSAVI.Among them the power function model of LAI-MSAVI with FLAASH model yield the best goodness of fit .LAI estimation precision of FLAASH model was superior to the 6S model for broad-leaved forest .With the aid of remote sensing technology to quantitatively extract vegetation physiological parameters, suitable atmospheric correction model should be selected prudently .关键词
遥感/叶面积指数/大气校正Key words
remote sensing/leaf area index/atmospheric correction分类
农业科技引用本文复制引用
顾哲衍,张金池,林杰,韩诚,刘鑫..大气校正模型对阔叶林叶面积指数遥感估算的影响[J].华南农业大学学报,2014,(3):100-104,110,6.基金项目
国家自然科学基金（31200534）；长三角水源区面源污染林业生态修复技术研究（201104055-1）；江苏省2009年度研究生科研创新计划项目；南京林业大学高学历人才基金项目；江苏省高等学校林学优势学科建设项目 （）
