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《Transactions of the Chinese Society of Agricultural Engineering》 2011-10
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LAI inversion of spring wheat based on PROBA/CHRIS hyperspectral multi-angular data and PROSAIL model

Yang Guijun,Zhao Chunjiang,Xing Zhurong,Huang Wenjiang,Wangjihua(Beijing Research Center for Information Technology in Agriculture,Beijing 100097,China)  
Leaf area index(LAI) is an important parameter of vegetation ecosystems,which can represent the growth situation of vegetation.The PROBA(project for onboard autonomy)/CHRIS(compact high resolution imaging spectrometer)data acquired in June 4,2008 was used to inverse LAI of spring wheat combing with the radiative transfer model(PROSAIL) and ANN(artificial neural network),and to validate the results according to the in-situ measurements.The optimal bands were selected using segmented principal component analysis.Three bands(center wavelength 551.1 nm、696.9 nm and 871.5 nm,respectively) were finally used to inversion of LAI.The selected combination of three observation angles(0°,36° and 55°) shows high accuracy inversion LAI with R2=0.854,RMSE=0.344,MAE=0.213.The accuracy of inversion LAI can be improved with increasing the number of observation angle.However,if the number of angles is more than three,the accuracy will conversely decrease because of the uncertainty augment of multi-angle data.
【Fund】： 国家重点基础研究发展计划(“973”计划)项目(2011CB311806 2007CB714401);; 北京市自然科学基金(4102021);; 国家自然科学基金(40901173 41071228);; 北京市农林科学院科技创新能力建设专项(KJCX201104012);; 中国科学院遥感应用研究所遥感科学国家重点实验室开放基金(OFSLRSS201109)
【CateGory Index】： S512.12;TP79
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【Citations】
Chinese Journal Full-text Database 2 Hits
1 He Yingbin,Chen Youqi※,Tang Huajun (Key Laboratory of Resources Remote Sensing and Digital Agriculture,Institute of Agricultural Resources and Regional Planning,Chinese Academy of Agricultural Sciences,Beijing 100081,China);Effects of cold damage on paddy rice yield per unit area based on retrieving of daily LAI by MODIS and SIMRIW model[J];Transactions of the Chinese Society of Agricultural Engineering;2007-11
2 Yang Fei 1,2 ,Sun Jiulin 1 ,Zhang Bai2,Yao Zuofang2,3,Wang Zongming2,Wang Juanle1,Yue Xiafang1 (1.Institute of Geographic Sciences and Natural Resources Research of Chinese Academy of Sciences,the State Key Laboratory of Resources and Environmental Information System,Beijing 100101,China;2.Northeast Institute of Geography and Agroecology of Chinese Academy of Sciences,Changchun 130012,China;3.Graduate University of Chinese Academy of Sciences,Beijing 100039,China);Assessment of MODIS LAI product accuracy based on the PROSAIL model,TM and field measurements[J];Transactions of the Chinese Society of Agricultural Engineering;2010-04
【Co-citations】
Chinese Journal Full-text Database 5 Hits
1 LI Xin-hui,SONG Xiao-ning,LENG Pei(College of Resources and Environment,Graduate School of Chinese Academy of Sciences,Beijing 100049,China);A Quantitative Method for Grassland LAI Inversion Based on CHRIS/PROBA Data[J];Remote Sensing for Land & Resources;2011-03
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