Flood disaster mapping using Sentinel-1 Imagery and Google Earth Engine in the Samin Watershed, Indonesia

Abstract Google Earth Engine (GEE) is a user-friendly tool that enables quick and accurate mapping of an area. It can be utilized to map floods caused by rainfall as well as overflow floods from the Samin River. This article aims to delineate inundation areas through fast and precise remote sensing analysis. Accurate near-real-time and real-time information about flood areas is crucial for emergency response during disaster events such as floods. Reliable mapping is essential for disaster management and relief efforts. Despite various initiatives, there are still significant challenges in the automated processing of Sentinel-1 SAR data to produce dependable inundation maps. One of the main advantages of SAR over optical imagery is its ability to collect data under all weather conditions, including in thick cloud cover. The results showed that the area with the area of flood inundation with an area of 278,614 hectares, which inundated the use of rice fields with an area of 261,355 hectares, settlements with an area of 14,650 hectares and Moors with an area of 2,609 hectares.