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《Journal of China Agricultural University》 2015-04
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Hyperspectral vegetation index monitoring of chlorophyll content of different corn growth stage in Northwest China

ZHANG Xiao-hua;CHANG Qing-rui;ZHANG Man;LIU Jia-qi;College of Natural Resources and Environment,Northwest A&F University;  
Aiming to promote the hyperspectral vegetation index application in corn condition monitoring.Field corns in Maxi,Juliang and Yangling area were used to establish the quantitative relationship between spectral vegetation index and the corn chlorophyll content.The canopy spectral reflectance and chlorophyll content were measured at tasseling stage,filling stage and milk stage.The coefficient between them was analyzed.And the relationship between them was used to establish the corn chlorophyll content monitoring model.The results showed that the best vegetation index to estimate the chlorophyll content was the modified chlorophyll absorption reflectivity index(MCARI)at the stage of tasseling.At the stage of filling,the best vegetation index to estimate the chlorophyll content was perpendicular vegetation index(PVI).And plant senescence reflectance index(PSRI)was the best at the stage of the milk stage.Along with the plant growth and leaf senescence,a PSRI model was proved to be valid for monitoring the corn chlorophyll content.It provided theoretical basis and technical support for the hyperspectral remote sensing in the corn growth monitoring.
【Fund】: “国家“863”计划项目国家高技术研究发展计划(2013AA102401);; 高等学校博士点专项科研基金项目(20120204110013)
【CateGory Index】: O212.1
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