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《Remote Sensing for Land & Resources》 2010-02
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The Monitoring of the Winter Wheat Leaf Area Index Based on HJ-1 CCD Dada

CHEN Xue-yang1,2,MENG Ji-hua2,DU Xin2,ZHANG Fei-fei2,ZHANG Miao2,WU Bing-fang1,2(1.Central South University,Changsha 410083,China;2.Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101,China)  
With Yucheng County in Shandong Province as the study area,the authors estimated the LAI based on HJ-1 data and calculated four vegetation indices(NDVI,RVI,SAVI,EVI) to analyze their relationship with the observed LAI.A comparison of the four models has proved that the relationships between LAI and the four vegetation indices are all acceptable,and RVI seems to be the best parameter for estimating LAI(LAI=2.967ln RVI-1.201).With the RVI-LAI model,LAI map of Yucheng was retrieved in May 2009,with the average error being 19% or so,which suggests that the model achieves a high precision.
【Fund】: HJ-1卫星数据应用研究专题项目“HJ-1叶面积指数及光合有效辐射系数标准产品研究”(编号:2009A01A1000);; “植被指数标准产品”项目(编号:2009A01A0900);; 中国科学院知识创新工程重大项目(编号:KSCX-YW-09-01)
【CateGory Index】: TP79
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