<![CDATA[Flooding is one of the most frequent hydrometeorological disasters in urban coastal regions, including Bandar Lampung, Indonesia. This study aims to analyze the spatial and temporal distribution of flood inundation in 2017, 2019, and 2022 using Sentinel-1 Synthetic Aperture Radar (SAR) and Sentinel-2 optical imagery. Flood detection was conducted using the Normalized Difference Water Index (NDWI) derived from Sentinel-2 and backscatter coefficient thresholding from Sentinel-1 data. The results indicate that Rajabasa, Panjang, and Kedamaian sub-districts experienced recurring flood events, with Rajabasa showing the largest increase in inundation area, reaching approximately 2.2 km² in 2022. The integration of SAR and optical imagery improves flood detection reliability under varying weather conditions. These findings provide important geospatial information to support disaster mitigation planning and sustainable urban development in Bandar Lampung. Keywords: flood mapping; multi-temporal analysis; sentinel-1; sentinel-2; ndwi; bandar lampung]]>
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