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《Journal of Central South University of Forestry & Technology》 2007-04
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Hyper-spectral Estimation Models of the Chlorophyll Contents of Young Camphor Trees Based on Remote Sensing Data

LIU Xiu-ying1,LIN Hui2,WAN Ling-feng2,SUN Hua2,XIONG Yu-jiu2,MO Deng-kui2 (1.Department of Resources and Environmental Science,Mianyang Normal University,Mianyang 621000,Sichuan,China;2.Research Center of Forestry Remote Sensing Information & Engineering,Central South University of Forestry & Technology,Changsha 410004,Hunan,China)  
The fast development of hyper-spectral remote sensing makes it possible to estimate the vegetation chlorophyll content quantitatively.Selecting young camphor trees as objects,this study measured the spectral reflectance of canopy by ASD Handheld Spectrometer in field and at the same time the chlorophyll contents in lab.The relationship between the spectral reflectance of canopy and the contents were analyzed by a statistical method.The results show that the sensitive wavebands of the contents are situated at 400 nm,556 nm and 621 nm.Several estimation models between the sensitive wavebands and the contents were built.Two fittest hyper-spectral estimation models of the contents were proposed after the precision being tested as follows: y=exp(1.191+1 458.912x) and y=3.29×exp(1 458.912x).These results suggest that the hyper-spectral estimation models cad be used to estimate the leaf chlorophyll content of young camphor trees.
【Fund】: 国家自然科学基金(30471391);; 湖南省学科带头人培养基金;; 湖南省教育厅青年基金项目(04B059);; 中南林业科技大学人才引进项目(06Y037)
【CateGory Index】: S792.23
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