SENTINEL-2A red-edge spectral indices suitability for discriminating burn severity |
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| Institution: | 1. Environmental and Climate Sciences Department, Brookhaven National Laboratory, Bldg. 490A, Upton, NY 11973, USA;2. Environmental Protection Division, Brookhaven National Laboratory, Bldg. 860, Upton, NY 11973, USA;3. Department of Geographical Sciences, University of Maryland, 1165 Lefrak Hall, College Park, MD 20742, USA;4. Department of Geography, University of Utah, 332 S 1400 E, Rm. 217, Salt Lake City, UT 84112, USA;5. Code 618, Biospheric Sciences Branch, NASA/Goddard Space Flight Center, Greenbelt, MD 20742, USA;6. Department of Environmental Science and Biology, State University of New York College at Brockport, Brockport, NY 14420, USA;1. Area of Ecology, Faculty of Biological and Environmental Sciences, University of León, 24071 León, Spain;2. Agrarian Science and Engineering Department, University of León, Av. Astorga s/n, 24400 Ponferrada, Spain;3. Electronic Technology Department, Sustainable Forest Management Research Institute, University of Valladolid, Spanish National Institute for Agriculture and Food Research and Technology (INIA), C/Francisco Mendizábal s/n, 47014 Valladolid, Spain |
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| Abstract: | Fires are a problematic and recurrent issue in Mediterranean ecosystems. Accurate discrimination between burn severity levels is essential for the rehabilitation planning of burned areas. Sentinel-2A MultiSpectral Instrument (MSI) record data in three red-edge wavelengths, spectral domain especially useful on agriculture and vegetation applications. Our objective is to find out whether Sentinel-2A MSI red-edge wavelengths are suitable for burn severity discrimination. As study area, we used the 2015 Sierra Gata wildfire (Spain) that burned approximately 80 km2. A Copernicus Emergency Management Service (EMS)-grading map with four burn severity levels was considered as reference truth. Cox and Snell, Nagelkerke and McFadde pseudo-R2 statistics obtained by Multinomial Logistic Regression showed the superiority of red-edge spectral indices (particularly, Modified Simple Ratio Red-edge, Chlorophyll Index Red-edge, Normalized Difference Vegetation Index Red-edge) over conventional spectral indices. Fisher's Least Significant Difference test confirmed that Sentinel-2A MSI red-edge spectral indices are adequate to discriminate four burn severity levels. |
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| Keywords: | Sentinel-2 Burn severity Red-edge Spectral indices Mediterranean |
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