Measuring and predicting canopy nitrogen nutrition in wheat using a spectral index—The canopy chlorophyll content index (CCCI)

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Retrieving LAI, chlorophyll and nitrogen contents in sugar beet crops from multi-angular optical remote sensing: Comparison of vegetation indices and PROSAIL inversion for field phenotyping (2017, background): “…possible to take into account variations Author-produced version of the article published in Field Crops Research, 2017, N°210, p.33-46. in nitrogen dilution within the foliage (Baret et al. 2007; Fitzgerald et al. 2010), and to reach a significantly stronger correlation between CNC and CCC (Fig.”
Development of a critical nitrogen dilution curve based on leaf dry matter for summer maize (2017, background): “Yet, the variations associated with the high degree of in-season spatial distribution of crop N status within the crop field, restrict the adaptation of plant DM approach in modern mechanized agricultural practices (Fitzgerald et al., 2010).”
Estimating winter wheat (Triticum aestivum) LAI and leaf chlorophyll content from canopy reflectance data by integrating agronomic prior knowledge with the PROSAIL model (2015, background): “A diverse array of spectral VIs has been developed to reduce the effects of soil, view geometry, and atmospheric conditions (Chen 1996; Chen et al. 2010; Fitzgerald, Rodriguez, and O’Leary 2010; Gitelson et al. 2005; Haboudane et al. 2004; Sims and Gamon 2002; Steddom et al. 2003).”