Explaining Sentinel 2-based dNBR and RdNBR variability with reference data from the bird's eye (UAS) perspective

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Fabian Ewald Fassnacht, Ephraim Schmidt-Riese, Teja Kattenborn, Jaime Hernández

Published: 01 Jan 2021, Last Modified: 07 May 2025Int. J. Appl. Earth Obs. Geoinformation 2021EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Pre- and postfire UAS data were used to explain Sentinel-2-based dNBR values.•Consumed canopy cover is the main driver of variability in the dNBR values.•Cast shadows from dead trees may have a notable influence on dNBR.•UAS data enables a better understanding the meaning of common satellite products such as dNBR.