Monitoring the ratio of leaf carbon to nitrogen in winter wheat with hyperspectral measurements
文献类型： 会议论文
第一作者： Xin-gang Xu
作者： Xin-gang Xu 1 ; Xiao-dong Yang 1 ; Xiao-he Gu 1 ; Hao Yang 1 ; Hai-kuan Feng 1 ; Gui-jun Yang 1 ; Xiao-yu 1 ; Song 1 ;
作者机构： 1.Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, P. O. Box 2449-26,Beijing 100097, P. R. China
关键词： leaf C/N;spectral index;winter wheat;gray relational analysis;branch-and-bound method
会议名称： Conference on remote sensing for agriculture, ecosystems, and hydrology
主办单位：
页码： 96371N.1-96371N.5
摘要： In crop leaves the ratio of carbon to nitrogen (C/N), defined as ratio of LCC (leaf carbon concentration) to LNC (leaf nitrogen concentration), is a good indicator that can synthetically evaluate the balance of carbon and nitrogen, nutrient status in crop plants. Hence it is very important how to monitor changes of leaf C/N effectively and in real time for nutrient diagnosis and growing management of crops in fields. In consideration of the close relationships between chlorophyll, nitrogen (N) and C/N, some typical indices aimed at N estimation were tested to estimate leaf C/N in winter wheat as well as several indices aimed chlorophyll evaluation. The multi-temporal hyperspectral data from the flag-leaf, anthesis, filling, and milk-ripe stages were obtained to calculate these selected spectral indices for evaluating C/N in winter wheat. The results showed that some tested indices such as MCARI/OSAVI2, MTCI and Rep-Le had the better performance of estimating C/N. In addition, GRA (gray relational analysis) and Branch-and-Bound method were also used along with spectral indices sensitive to C/N for improving the accuracy of monitoring C/N in winter wheat, and obtained the better results with R~2 of 0.74, RMSE of 0.991. It indicates that monitoring of leaf C/N in winter wheat with hyperspectral reflectance measurements appears very potential.
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