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Using hyperspectral indices to estimate foliar chlorophyll a concentrations of winter wheat under yellow rust stress

Using hyperspectral indices to estimate foliar chlorophyll a...

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The First International Conference on Computers and Computing Technologies in Agriculture

作者： LI JING~(1,2) JIANG JINBAO~1 CHEN YUNHAO~(1,2,*) WANG YUANYUAN~1 SU WEI~3 HUANG WENJIANG~4 1 College of Resources Science and Technology Beijing Normal University No.19 Xinjiekouwai Street Beijing 100875,China 2 State Key Laboratory of Earth Surface Processes and Resource Ecology Beijing Normal University No.19 Xinjiekouwai Street Beijing 100875,China 3 College of Information & Electrical Engineering China Agricultural University Beijing 100083,China 4 National Engineering Research Center for Information Technology in Agriculture Beijing 100089,China

The canopy hyperspectral reflectance of winter wheat infected with yellow rust at different levels of severity were measured by an ASD FieldSpec Pro FR spectrometer in the field and the concentrations of chlorophyll a(Chl a) in the leaves corresponding to the spectra were determined by biochemical methods in the *** analyses were made between Chl a concentrations and canopy hyperspectral data of diseased wheat. Results show that foliar Chl a concentrations are strongly correlated with canopy spectrum in the visible region and the first-order derivative spectrum in blue edge,green edge,and red *** and nonlinear models for estimating Chl a concentrations of the diseased wheat were built based on several spectral *** indicate that SDr/SDg,in which SDr and SDg are the sums of the first derivative within red and green edges,outperformed the other indices in predicting Chl a *** relative estimation errors for Chl a for 12 unseen samples are 17.5%.It is concluded that derivative spectra in red edge and green edge have strong prediction power for foliar Chl a concentrations of diseased winter *** hyperspectral remote sensing data to monitor crop disease and nutrition status is very promising.

关键词： chlorophyllα estimation models hyperspectral wheat yellow rust stress

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