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《Geography and Geo-Information Science》 2004-03
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A Method for Inverting Chlorophyll Content of Wheat Using Hyperspectral

ZHAO Xiang, LIU Su-hong, WANG Pei-juan, WANG Jin-di, TIAN Zhen-kun (Research Center for Remote Sensing and GIS, School of Geography, Beijing Normal University, Beijing 100875; s, Beijing 100875, China)  
In recent years, hyperspectral technology of Remote Sensing have been developing rapidly, which provides plentiful data sources for getting some physiological parameters for crops. This paper, which based on Partial Least Squares Regression Method, established the spectra model between chlorophyll content and the canopy spectra of wheat, using the hyperspectral data of wheat getted in Xiaotangshan. The results indicated that chlorophyll content of wheat was highly relative to the hyperspectral from 350 nm to (1 060 nm.) The research provides an effective method to estimate chlorophyll content for hyperspectral of wheat.
【Fund】: 国家"863"计划项目(2001AA135030);; 国家重点基础研究发展规划项目(G20000779);; 国家地质调查项目(200320130004)
【CateGory Index】: S51211
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