Fires are a problematic and recurrent issue in Mediterranean ecosystems. Accurate discriminationbetween burn severity levels is essential for the rehabilitation planning of burned areas. Sentinel-2AMultiSpectral Instrument (MSI) record data in three red-edge wavelengths, spectral domain especiallyuseful on agriculture and vegetation applications. Our objective is to find out whether Sentinel-2A MSIred-edge wavelengths are suitable for burn severity discrimination. As study area, we used the 2015Sierra Gata wildfire (Spain) that burned approximately 80 km2. A Copernicus Emergency ManagementService (EMS)-grading map with four burn severity levels was considered as reference truth. Cox and Snell,Nagelkerke and McFadde pseudo-R2statistics obtained by Multinomial Logistic Regression showed thesuperiority of red-edge spectral indices (particularly, Modified Simple Ratio Red-edge, Chlorophyll IndexRed-edge, Normalized Difference Vegetation Index Red-edge) over conventional spectral indices. Fisher’sLeast Significant Difference test confirmed that Sentinel-2A MSI red-edge spectral indices are adequateto discriminate four burn severity levels.
ETS Ingenierías Agrarias Universidad de Valladolid - Avd. Madrid s/n
34004 - PALENCIA - Localización
www5.uva.es/etsiiaa/
INIA-CIFOR - Ctra. A Coruña km 7,5
28040 - MADRID - Localización
www.inia.es
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