Evaluating the robustness of Bayesian flood mapping with Sentinel-1 data: A multi-event validation study

Florian Roth, Mark Edwin Tupas, Claudio Navacchi, Jie Zhao, Wolfgang Wagner, Bernhard Bauer-Marschallinger

Abstract: Highlights•Insufficient validation efforts hinder progress in SAR-based flood mapping.•Performing detailed validation of a Bayesian flood mapping algorithm.•Selected unbiased 18 flood events that were quantitatively and qualitatively analysed.•Flood events are spread over five continents and pose various conditions.•Algorithm performs at a median Overall Accuracy (OA) of 85.3%.

External IDs:doi:10.1016/j.srs.2025.100210