MOSEV: a global burn severity database from MODIS (2000–2020)

Abstract. To make advances in the fire discipline, as well study of CO2 emissions, it is great interest to develop a global database with estimators degree biomass consumed by fire, which defined burn severity. In this work we present first severity (MOSEV database), based on Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance and burned area (BA) products from November 2000 near real time. build combined Terra MOD09A1 Aqua MYD09A1 obtain dense time series normalized ratio (NBR) spectral index, used MCD64A1 product identify BA date burning. Then, calculated for each pixel difference NBR (dNBR) its relativized version (RdNBR), post-burn NBR, are most commonly indices. The also includes pre-burn calculations, pre- Moreover, have compared metrics included MOSEV (dNBR, RdNBR NBR) same ones obtained Landsat-8 scenes an original resolution 30 m. We Pearson's correlation coefficients significance relationships using 13 pairs Landsat randomly distributed across globe, total 6904 km2 (n=32 163). Results showed that indices highly correlated, particularly (R=0.88; P<0.001), dNBR (R=0.74; P<0.001) stronger than (R=0.42; P<0.001). Differences between attributable variability values different temporal both satellites (MODIS: 1–2 d; Landsat: 16 d). structured according MODIS tiling system freely downloadable at https://doi.org/10.5281/zenodo.4265209 (Alonso-González Fernández-García, 2020).