Chennai,the capital city of Tamil Naduin India, has experienced severalinstances ofsevere flooding over the past two decades, primarily attributed to persistent heavy rainfall. Accurate mapping of flood-prone regions in the basin is crucialfor thecomprehensive flood risk management. This study usedthe GIS-MCDAmodel, a multi-criteria decision analysis (MCDA) model that incorporated geographic information system(GIS) technology to support decision making processes. Remote sensing, GIS, and analytical hierarchy technique (AHP) were used to identify flood-prone zones andto determine the weights of various factors affecting flood risk, such as rainfall, distance toriver, elevation, slope, land use/land cover, drainage density, soil type, and lithology. Four groups (zones) were identified by theflood susceptibility mapincluding high, medium, low, and very low. These zones occupied16.41%, 67.33%, 16.18%, and 0.08% of the area, respectively. Historical flood events in the study area coincided with the flood risk classification and flood vulnerability map. Regions situated close to rivers, characterized by low elevation, slope, and high runoff density were found to be more susceptible to flooding. The flood susceptibility map generated by the GIS-MCDA accurately described the flood-prone regions in the study area.