 This research paper proposes a fully automated processing chain for rapid flood and surface water mapping using Sentinel-1 amplitude data. The proposed method achieved high accuracy rates of up to 98%, with F-measures ranging from 0.64 to 0.92. This is promising as it could be used by end users to quickly map flooding events or surface waters. This article was authored by Filsa Bioresida and Puycent, Andre Stumpf and others.