Flood Mapping of Mumbai Using Sentinel Datasets

Abstract

Flash floods pose a high risk in urban areas receiving heavy rainfall and low elevation. In flood-prone areas flood risk maps are essential for land use planning. According to flood return periods, the mapping criteria are selected. Floods have negative impacts such as loss of human life, damage to the infrastructure and essential services, damage to crops and animals, the spread of diseases, and contamination of the water supply. Mumbai is a flood-prone city and witnesses severe disruptions almost every year. In this work, flood mapping of Mumbai is done using by sentinel-1 SAR data. The results of processing results were overlapped for damage assessment using sentinel-2 SAR data. The methodology implemented in this paper shows accurate results when compared with ground truth images of 2021 flood in Mumbai.