Geo-Spatial MCDM Techniques for Disaster Preparedness and Response

A Decision-Support System for Improved Planning, Prioritization, and Policy Development
1. Auflage 2027
ISBN: 978-1-041-36162-6
Verlag: Taylor & Francis

Buch, Englisch, 152 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: Knowledge-based Engineering for Innovation

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 preparedness

This book is designed for researchers, disaster management professionals, policymakers, and practitioners working in disaster risk reduction, geospatial science, and emergency planning.

Zielgruppe

Academic

Autoren/Hrsg.

Salui, Chalantika Laha

Sarkar, Pratima

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Geowissenschaften Geologie GIS, Geoinformatik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Geowissenschaften Umweltwissenschaften Umweltwissenschaften
• Mathematik | Informatik Mathematik Stochastik
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Sozialwissenschaften Soziologie | Soziale Arbeit Soziale Gruppen/Soziale Themen Soziale Folgen von Katastrophen

Inhaltsverzeichnis

Chapter 1: Introduction, Chapter 2: Spatial MCDM Techniques for Intelligent Planning and Execution in Disaster Management, Chapter 3: Geo-Spatial MCDM Applications for Effective Planning and Policy Making, Chapter 4: Integrating MCDM with Machine Learning Models and Web-based Geospatial Platform for Immediate Resilience and Decision Making in Disaster Management, Chapter 5: Conclusions

Über Autor(innen)

Dr. Chalantika Laha Salui is an accomplished researcher and academician specializing in geospatial technologies, disaster management, environmental assessment and spatial decision-making. She is currently serving as an Assistant Professor in the Department of Geography at Rani Birla Girls’ College, University of Calcutta. She earned her Ph.D. from the University of Calcutta in 2016 with research focusing on the changing course of the River Ganga, damage assessment and risk zone management. With nearly two decades of experience in teaching, research and professional geospatial applications, Dr. Salui has worked with institutions such as the Indian Institute of Engineering Science and Technology (IIEST), Tripura University, Department of Science and Technology, Government of West Bengal and Forest Survey of India, Govt. of INDIA. She has published 17 researches including 4 SCOPUS indexed international journals and edited volumes on topics including disaster risk assessment, landslide susceptibility, river dynamics, environmental monitoring and GIS-based spatial modelling. A life member of six reputed national and international professional organizations, Dr. Salui has received numerous academic distinctions and research awards and contributed in 1 research project and 3 consultancy projects. Her work emphasizes the application of GIS, Remote Sensing, and Multi-Criteria Decision Making (MCDM) techniques for sustainable development, environmental management, and disaster resilience.

Dr. Pratima Sarkar is a dedicated researcher holding PhD degree from the Computer Science and Engineering Department of Sikkim Manipal Institute of Technology, Sikkim Manipal University in 2025. She secured her M.Tech degree in Software Engineering under the Computer Science and Engineering (CSE) Department from the West Bengal University of Technology. She began her academic career in 2012 as an Assistant Professor in the CSE Department at Sikkim Manipal Institute of Technology, where she served for a decade before joining the CSE Department of Techno International New Town in 2022, where she is currently working as an Assistant Professor. She has been an active ACM member for the last three years and serves as a reviewer for Elsevier journals as well as multiple international conferences. Her research achievements include 2 SCI-indexed journal publications, 2 Scopus-indexed journal publications, and more than 20 international conference papers. In addition to her publications, she has contributed to innovation with more than 3 patents and has authored 2 book chapters. She continues to demonstrate strong academic excellence and professional commitment through her ongoing research, reviewing, teaching, and innovation activities. Her work emphasizes the Computer Vision, Agentic AI, Disaster Management and marine environment monitoring by using computer vision.