Geoinformatics has emerged as an important technological approach in disaster management by providing tools such as Geographic Information Systems (GIS), Remote Sensing, Global Positioning System (GPS), and spatial data analysis for disaster risk assessment, preparedness, response, and recovery. However, despite its significant benefits, the use of geoinformatics in disaster management faces several issues and challenges that limit its effectiveness in many regions. One of the major challenges is the availability and quality of spatial data. Disaster management requires accurate, updated, and high-resolution geographic information about terrain, population distribution, infrastructure, land use, and environmental conditions. In many developing regions, such data may be outdated, incomplete, or unavailable. Lack of standardized data collection methods and differences in data formats among agencies create difficulties in integrating and analyzing information. Data accessibility and sharing are also significant issues. Disaster management involves multiple organizations, including government departments, emergency services, research institutions, and non-governmental organizations. Limited coordination and restrictions on data sharing can delay decision-making during emergencies. Establishing effective data-sharing platforms and institutional cooperation is necessary for the successful application of geoinformatics. Technical challenges also affect the use of geoinformatics in disaster management. Advanced geospatial technologies require skilled professionals who can collect, process, interpret, and analyze spatial data. Many regions face a shortage of trained personnel and technical expertise. Lack of adequate infrastructure, such as high-performance