Monitoring Flooded Areas in Bekasi City Using Sentinel-1 Backscatter Analysis
Hammam Muhammad Amrullah*, Alfian, Mellinia Regina Heni Prastiwi, Wanda Nelwita Damayani, Fauzi Fahmi, Shofura Afanin Nuha, Agsha Dewantara, Dinia Izza Rianti

Remote Sensing Graduate Student, Faculty of Geography, Gadjah Mada University, Indonesia

Abstract

Flooding is one of the most destructive types of hydrometeorological disasters, characterized by fast-moving water, widespread damage, and high frequency of occurrence. The city of Bekasi faces increasingly severe flooding challenges each year, with fluctuating incidence rates. This is triggered by a combination of geographical factors, human activities, and the inadequacy of existing disaster management systems. The objective of this study is to map flood events using Synthetic Aperture Radar (SAR) data in the form of Sentinel-1 imagery processed through the Google Earth Engine platform with the application of backscatter difference analysis and analyze the multi-temporal pattern of flood inundation starting from 2020 to 2025. The results of flood condition mapping research indicate that the Bekasi City area will experience an increase in the extent of affected areas by 2025. Utilizing SAR imagery is one of the methods that can be employed for flood inundation monitoring, particularly by leveraging the spatial and temporal coverage of remote sensing data, which is a key advantage for monitoring floods across extensive study areas over specific time periods. In the context of sustainable development, the use of remote sensing data plays a crucial role, particularly in risk assessment and the development of hazard inventories, as well as in evaluating progress toward Sustainable Development Goals (SDGs), especially in climate change mitigation actions (SDG 13) that may impact communities and in safeguarding terrestrial ecosystems (SDG 15) for the future.

Keywords: Flood Monitoring, Sentinel-1, Bekasi City, Google Earth Engine

Topic: Topic B: Applications of Remote Sensing