Floods pose a significant natural hazard that can cause extensive damage to infrastructure, property, and human life. The use of geospatial techniques, such as remote sensing, Global Positioning Systems (GPS), and Geographic Information System (GIS), has become increasingly important for flood hazard mapping. The research paper aims to develop flood hazard maps for the Amaravati region, the new capital city of Andhra Pradesh, India, using geospatial techniques, including an Analytic Hierarchy Process (AHP). The region is susceptible to floods due to its location and topography, which includes low-lying areas and water bodies. In the present study, remote sensing techniques were employed to extract information on land use, land cover, topography, and drainage patterns, and GIS to integrate this information with other relevant data, such as rainfall and river flow data, to develop flood hazard maps. Additionally, the study utilized the AHP process, a multi-criteria decision-making method, to weigh and rank various factors involved in the development of the d hazard maps. The AHP process provided a structured and systematic approach to prioritize the importance of different variables and factors in the flood hazard mapping process. The developed maps provide valuable information for decision-makers, urban planners, and emergency management agencies to plan for and mitigate the impact of potential flood events in the region. The AHP process, in combination with geospatial techniques, contributed to the accuracy and reliability of the flood hazard maps. By utilizing geospatial techniques and the AHP, this research paper contributes to the existing knowledge on flood hazard mapping. The findings provide valuable insights that can be applied in flood risk management and disaster preparedness in the Amaravati region.