Estimating leaf nitrogen concentration with three-band vegetation indices in rice and wheat

By Wei Wang, Xia Yao, X. Yao, Yongchao Tian, Xiaojun Liu, Jun Ni, W. Cao, Yan Zhu. 2012

178 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

New Critical Nitrogen Curve Based on Leaf Area Index for Winter Wheat (2014, methodology): “The major problem when using NNI as a diagnostic tool is the need to determine the actual LAI and N concentration, but this can be accomplished quickly by remote sensing (Wang et al., 2012).”
Reflectance estimation of canopy nitrogen content in winter wheat using optimised hyperspectral spectral indices and partial least squares regression (2014, background): “Remote estimation of the canopy N content of winter wheat, rice, cotton and grass have been comprehensively discussed by many studies (Tarpley et al., 2000; Gislum et al., 2004; Nguyen and Lee, 2006; Fava et al., 2009; Stroppiana et al., 2009; Wang et al., 2012).”
Hyperspectral canopy sensing of paddy rice aboveground biomass at different growth stages (2014, background): “More studies re needed to evaluate different hyperspectral index optimization lgorithms, especially those involving the combination of more han 2 wavebands (Wang et al., 2012; Li et al., 2013).”