SENTINEL-2A red-edge spectral indices suitability for discriminating burn severity

By A. Fernández-Manso, O. Fernández-Manso, C. Q. Pastor. International Journal of Applied Earth Observation and Geoinformation, 2016

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Recent Applications of Landsat 8/OLI and Sentinel-2/MSI for Land Use and Land Cover Mapping: A Systematic Review (2020, methodology): “Among L8/OLI and S2/MSI bands, Green, Red, and Red-edge are useful because they correlate with chlorophyll and other pigments, NIR bands are useful to determine leaf structure information, while SWIR is sensitive to water content in vegetation and vegetation structure [38,84,85].”
Spatio-temporal fusion for daily Sentinel-2 images (2018, background): “Such data are receiving increasing attention in remote sensing studies 37 and applications (Fernández-Manso et al., 2016; Immitzer et al., 2016; Novelli et al., 2016; Storey et al., 2016; 38 Van der Werff and Van der Meer, 2016).”
Sentinel-2 cropland mapping using pixel-based and object-based time-weighted dynamic time warping analysis (2018, background): “…in vegetation (Ramoelo et al., 2015); estimating canopy chlorophyll content, leaf area index (LAI) and leaf chlorophyll concentration (LCC) (Frampton et al., 2013); evaluating burn severity (Fernández-Manso et al., 2016), or identifying Prosopis and Vachellia tree species (Ng et al., 2017).”