 This research paper presents a novel approach to automatically detect and extract flooded areas and surface waters using Sentinel-1 amplitude data. The proposed methodology was tested on three different sites affected by recent flooding events and achieved high accuracy rates of up to 98%. This demonstrates the potential of the proposed methodology as a reliable tool for fast and accurate flood and surface water mapping. This article was authored by Filsa Biorecita and Puycent, Andre Stumpf and others.