Remote estimation of crop and grass chlorophyll and nitrogen content using red-edge bands on Sentinel-2 and -3

By Jan G. P. W. Clevers, Anatoly A. Gitelson. International Journal of Applied Earth Observation and Geoinformation, 2013

715 citations recorded by the source corpus.

Subfields: Atmospheric Science, Ecology, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/fab0a33c7aef9f85c013c2db511b3dc9a7ea9e94

How researchers see this paper

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

In Atmospheric Science

In Ecology

In Global and Planetary Change

Citations in the corpus

Using Sentinel-2 Data for Retrieving LAI and Leaf and Canopy Chlorophyll Content of a Potato Crop (2017, methodology): “The second one is also interesting using Sentinel-2, since it avoids the need for red-edge bands that are only available at 20 m [13].”
Estimation of Total Nitrogen Content in Forage Maize (Zea mays L.) Using Spectral Indices: Analysis by Random Forest (2020, background): “Therefore, the use of this band in indices reduces the saturation effect on the index, and the reflectance remains sensitive to moderate to high chlorophyll values [3,8,20].”
Examination of Sentinel-2A Multi-spectral Instrument (MSI) Reflectance Anisotropy and the Suitability of a General Method to Normalize MSI Reflectance to Nadir BRDF Adjusted Reflectance (2017, background): “The red edge encompasses the abrupt increase in leaf reflectance from red wavelengths, where leaf reflectance is low due to chlorophyll absorption, to NIR wavelengths where leaf reflectance is high due to leaf internal scattering (Gates et al., 1965; Clevers and Gitelson, 2013).”
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, methodology): “Interestingly, the correlation between chlorophyll and nitrogen contents makes it possible to use chlorophyll VIs for quantifying the nitrogen status of crops (Clevers and Gitelson 2013; Clevers and Kooistra 2012; Schlemmer et al. 2013).”
Remote estimation of nitrogen and chlorophyll contents in maize at leaf and canopy levels (2013, background): “This study confirms that green chlorophyll index CIgreen accurately estimates N content, which is consistent with findings for both crops and grassland systems (Clevers and Gitelson, 2013).”