[Estimation of nitrogen concentration in cotton leaf based on canopy reflectance spectra].
Through analyzing the relationships of nitrogen concentration in cotton leaf under different nitrogen supply levels with canopy multi-spectral reflectance and its derived ratio vegetation index (RVI, rholambda1/rholambda2), normalized difference vegetation index (NDVI, (rho(lambda1) - rho(lambda2))/(rho(lambda1)) + rho(lambda2)) and differential vegetation index (DVI, rho(lambda1) - rho(lambda2)), the sensitive wave bands and prediction functions of cotton leaf nitrogen concentration were worked out. The vegetation index composed of visible region (610, 660, 680 and 710 nm) and near infrared region (760, 810, 870, 950, 1 100 and 1 220 nm) had a higher correlation with the nitrogen concentration in cotton leaf, and the RVI composed of 950 nm and 710 nm could best predict the leaf nitrogen concentration. The validation with independent field experimental data indicated that RVI (950 nm and 710 nm) -based model was suitable for estimation of leaf nitrogen concentration of different cotton cultivars at their different growth stages.
Zhu
Yan
Y
Hi-technology Key Laboratory of Information Agriculture of Jiangsu Province & Key Laboratory of Crop Growth Regulation of Agriculture Ministry, Nanjing Agricultural University, Nanjing 210095, China. yanzhu@njau.edu.cn
Wu
Hua-Bing
HB
Tian
Yong-Chao
YC
Yao
Xia
X
Liu
Xiao-Jun
XJ
Zhou
Zhi-Guo
ZG
Cao
Wei-Xing
WX
D000465:Algorithms; D003368:Gossypium / Q000254:growth & development / Q000378:metabolism*; D015233:Models, Statistical; D009584:Nitrogen / Q000032:analysis*; D018515:Plant Leaves / Q000378:metabolism*; D013057:Spectrum Analysis / Q000379:methods*
D009584:Nitrogen