This book examines Multi-Criteria Decision-Making (MCDM) methods for spatial decision support in disaster risk assessment. It demonstrates how geospatial technologies—including GIS, remote sensing, GPS, UAV mapping, and web-based platforms—integrate with MCDM techniques to strengthen disaster preparedness, monitoring, and recovery planning. Through structured chapters and practical case studies, it shows how spatial data supports hazard mapping, vulnerability assessment, evacuation planning, and real-time disaster monitoring across natural and human-induced hazards such as floods, cyclones, and landslides. Key Features:·Explains core concepts of disaster management and the disaster cycle: preparedness, response, recovery, and mitigation· Presents principles and applications of geospatial technologies including GIS, remote sensing, GPS, and UAV-based mapping·Illustrates practical applications through case studies of floods, cyclones, landslides, and other natural and anthropogenic hazards·Analyzes the role of spatial data in supporting policy planning, disaster resilience, and community-level preparednessThis book is designed for researchers, disaster management professionals, policymakers, and practitioners working in disaster risk reduction, geospatial science, and emergency planning.
