Identification of red and NIR spectral regions and vegetative indices for discrimination of cotton nitrogen stress and growth stage

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In-field hyperspectral proximal sensing for estimating quality parameters of mixed pasture (2011, background): “Using single wavebands or broad band indices to explain the variation in foliar chemistry is limited (Zhao et al. 2005).”
A review on reflective remote sensing and data assimilation techniques for enhanced agroecosystem modeling (2007, background): “Several studies underscore the importance of bandwidth and the position of the center wavelength on the performance of the VI (Fourty and Baret, 1997; Hansen and Schjoerring, 2003; Zhao et al., 2005).”