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《Geography and Geo-Information Science》 2006-02
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Quantitative Remote Sensing Inversion Methods of Chlorophyll-a Concentration in Taihu Lake Based on TM Data

YANG Yi-peng~1,WANG Qiao~2,XIAO Qing~3,WEN Jian-guang~3(1.Environmental Monitoring Centre of China,Beijing 100029;2.Jiangsu Provincial Key Lab.of Geographical Information Science,Nanjing Normal University,Nanjing 210097;3.Remote Sensing Application Institute of Chinese Academy of Sciences,Beijing 100101,China)  
Quantitative remote sensing inversion methods of chlorophyll-a concentration in Taihu Lake based on Landsat/TM data are mainly discussed in this paper.Geometric correction,radiation calibration and atmospheric correction of Landsat/TM are proceeded firstly,and reflectance spectrum are more distinct after TM calibration and atmospheric correction,reflectance spectrum peak value of 560 nm,720 nm and absorption spectrum peak value of 675 nm are found.The characteristic spectrum and characteristic spectrum combination of chlorophyll-a of Taihu Lake are extracted secondly.With focus on the problems that empirical and semi-empirical methods are lack of the support of physical theory and not robust in quantitative remote sensing monitoring of chlorophyll-a in inland water,the feasibility of spectral mixture analysis with clear physical meaning is discussed,semi-empirical linear regression model and linear spectral mixture analysis model are established.The result of linear spectral mixture analysis is compared and analyzed with the result of semi-empirical method.
【Fund】: 国家“863”计划项目“环境遥感监测软件系统与业务运行示范”(2003AA131060)
【CateGory Index】: TP79
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