The north-eastern part of Bangladesh, specifically Sunamganj, is located in one of the depressed or low-lying regions of the country, and the north-eastern haor (wetland) region of Bangladesh is highly prone to flash flooding, which destroys crops, property, and infrastructures. It is not feasible to remove flood danger, but geographic information system (GIS) and remote sensing-based technologies can greatly lessen its impact. Using geospatial technologies, this study attempts to identify the extent area of previous floods using Google Earth Engine (GEE) and land use/land cover (LULC) classes impacted by flooding in Tahirpur upazila, and to identify flood risk zone using an overlaying method by expert opinion. This study also attempts to identify flood-influencing characteristics include elevation, slope, TWI, NDVI, LULC, rainfall, distance from river, distance from road and drainage density. The flood extent area maps revealed that, in the study region, 61.21%, 62.29%, and 64.21% of the total area was flooded in 2018, 2020, and 2022, respectively. And the risk map reveals that 9.67%, 23.23%, 30.87%, 20.09% and10.14% of the total area are classified as very high risk, high risk, moderate risk, low risk and very low risk respectively. Thus, the findings could aid policymakers and planners in building a preparedness system that would prevent property loss and wealth in Tahirpur upazila.