Geospatial AI for Disaster Risk Assessment and Resilience: Methods and Applications

£130.00

Available for Pre-order. Due December 2026.

Geospatial AI for Disaster Risk Assessment and Resilience: Methods and Applications Editors: Uday Chatterjee, Kishor Dandapat, Monalisha Mishra, Gopal Krishna Panda, Sailesh Samanta Format: Hardback First Published: Published By: Taylor & Francis Ltd
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Pages: 328 Illustrations and other contents: 73 Tables, black and white; 36 Line drawings, color; 38 Line drawings, black and white; 20 Halftones, color; 13 Halftones, black and white; 56 Illustrations, color; 51 Illustrations, black and white Language: English ISBN: 9781041059448 Categories: , , ,

This book addresses the growing complexity of 21st-century disasters through geospatial AI and intelligent technologies. It demonstrates how AI, machine learning, GIS, remote sensing, and IoT transform disaster risk reduction and resilience building, particularly in the Global South and India. This multidisciplinary approach to disaster studies includes AI-driven damage assessment, machine learning for poverty mapping, deep learning flood classification, predictive modeling of economic impacts, coastal vulnerability assessment, earthquake resilience analysis, glacier monitoring, IoT landslide systems, and AI-enhanced logistics for disaster response. Features Explores how machine learning and artificial intelligence can support disaster resilience for communities. Examines climate change impacts on increasing disaster frequency and societal vulnerability worldwide. Presents IoT-LoRaWAN systems for real-time landslide monitoring in vulnerable mountainous regions. Explores AI-driven last-mile logistics for improving emergency response and supply-chain efficiency. Emphasizes the importance of building resilient communities, a critical factor for long-term sustainability. This book is for emergency management professionals, disaster risk reduction experts, climate change specialists, urban planners and resilience officers, government agencies, NGOs, researchers, academics, and graduate students involved with disaster studies.

Weight 0.620568 kg
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Author Biography

Uday Chatterjee is Assistant Professor in the Department of Geography, Bhatter College, India. He has a post graduate degree in Applied Geography from Utkal University and Doctoral Degrees in Applied Geography from Ravenshaw University, Cuttack, Odisha, India. His areas of research include urban planning, applied geomorphology, hazards and disasters, environmental issues, land use, etc. He is the author of many research papers published in various journals and edited book volumes, and a book editor as well.s. Kishor Dandapat is a professor in the Department of Geography at Seva Bharati Mahavidyalaya, Jhargram, under Vidyasagar University. His research expertise lies in human ecology, environmental issues, natural hazards, disaster management, and fluvial geomorphology. He is an author and a reviewer. Gopal Krishna Panda is Emeritus Professor at Kalinga Institute of Social Sciences (KISS) Deemed University, Bhubaneswar, India. His distinguished career spans 35 years, focusing on physical geography, coastal geomorphology, climate change, disaster management, and geospatial technology. He holds prestigious fellowships and has published several books. Sailesh Samanta is an associate professor in the School of Surveying and Land Studies at The Papua New Guinea University of Technology, Papua New Guinea. He has published over 50 peer-reviewed publications and is involved with the Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australian Centre of Agricultural Research (ACAR), and Pacific Islands Universities Research Network (PIURN). Monalisha Misra is an assistant professor of Geography at Kalinga Institute of Social Sciences (KISS) Deemed University, Bhubaneswar, India, specializing in Remote Sensing (RS) and Geographic Information Systems (GIS). She has over 13 years of teaching and industry experience, and has published many articles on natural hazards, disaster management, and coastal geography.