Flooding is a significant environmental hazard in tropical regions, severely impacting human life, infrastructure, and livelihoods. Tripura, a small hilly state in northeast India, has experienced recurrent floods in recent decades. This chapter aims to identify and map flood hazard zones using geospatial technology and the Preference Selection Index (PSI) method. Eight key flood-influencing parameters were determined based on a literature survey and expert consultation: elevation, topographic position index (TPI), stream power index (SPI), topographic wetness index (TWI), rainfall, distance to rivers (DTR), modified normalized difference water index (mNDWI), and lithology. The flood susceptibility map classified the study area into five zones: “very low,” “low,” “moderate,” “high,” and “very high.” Results show 2010.87 km2 (19.25%) falls under very low susceptibility, 2180.39 km2 (20.88%) under low, 2456.65 km2 (23.52%) under moderate, 1991.10 km2 (19.06%) under high, and 1805.08 km2 (17.28%) under very high susceptibility. The high and very high susceptibility zones are predominantly agricultural land and settlements, indicating increased vulnerability. The chapter demonstrates PSI’s effectiveness as a cost-efficient solution for flood hazard assessment, especially in data-scarce regions. The findings can aid policymakers in devising flood mitigation strategies. Model validation using the ROC–AUC method achieved an accuracy of 83.81%, confirming result reliability.