Geoinformatics has emerged as a critical tool in disaster risk reduction (DRR), providing the technological foundation for understanding, assessing, and managing risks associated with natural and human-induced disasters. At its core, geoinformatics integrates Geographic Information Systems (GIS), remote sensing (RS), global positioning systems (GPS), and spatial data analysis to generate comprehensive insights into environmental hazards, vulnerabilities, and exposure levels. These technologies enable decision-makers to adopt evidence-based strategies for mitigating the adverse impacts of disasters and enhancing community resilience. One of the primary applications of geoinformatics in disaster risk reduction is hazard mapping. Using remote sensing and GIS, spatial data on the occurrence, frequency, and intensity of disasters such as floods, earthquakes, cyclones, landslides, and droughts can be collected and analyzed. For instance, satellite imagery can detect flood-prone areas by assessing rainfall patterns, river discharge, and soil moisture levels. Similarly, seismic hazard zones can be identified by combining geological surveys with historical earthquake records. These hazard maps serve as foundational tools for emergency planning, land-use regulation, and infrastructural development, ensuring that high-risk areas are avoided or reinforced to withstand potential hazards. Geoinformatics also facilitates vulnerability assessment, which is central to disaster risk reduction. Vulnerability refers to the susceptibility of communities, infrastructure, and ecosystems to damage from hazards. GIS-based spatial analysis allows for the integration of multiple datasets, including demographic profiles, housing density, critical infrastructure locations, and socio-economic indicators. By overlaying hazard maps with vulnerability data, practitioners can identify populations and assets that are most at risk. For example, GIS can help pinpoint settlements that are highly vulnerable to landslides due