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Geospatial AI for Disaster Risk Assessment and Resilience (eBook)

Methods and Applications
Artikelnummer: 978-1-040-55988-8
Einband: PDF
Verfügbarkeit: Noch nicht erschienen, Dezember 2026
CHF 234.75

Part I: Advanced Technologies for Disaster Risk Assessment. 1. Damage Assessment and Situational Awareness: Application of Advanced Technologies. 2. Applying Machine Learning for Poverty Mapping and Mitigating Social Disasters: A Data-Driven Approach. 3. Prioritization of Watersheds for Estimating Sediment Yield by Geographic Information Systems. 4. An Efficient and Lightweight Technique for Flood Image Classification Using MobileNet: A Deep Learning Approach. Part II: Applications for Risk Assessment and Vulnerability Mapping. 5. Artificial Intelligence Based Predictive Model for Assessing the Economic Impact of Water Release from the Mukutmonipur Dam in West Bengal, India. 6. Integrating Coastal Hazard Risk Assessment and Machine Learning for Vulnerability Mapping along the east coast of Odisha, India. 7. Earthquake Risk and Resilience in Jammu and Kashmir, Northwestern Himalaya, India. 8. Identification of Earthquake Potential Zone for Reducing Vulnerability in Sikkim (Eastern Himalaya) using Machine Learning and Geospatial Techniques. 9. Understanding Spatial Variation of Glacier Zones and Slope induced Risk through Deep Learning and Statistical Methods on selected glaciers of Western Himalaya. 10. A Hybrid IoT-LoRaWAN and Deep Learning Framework for Real-Time Landslide Monitoring and Early Warning. 11. Environmental Effects of Sand Mining: Implications for Vegetation and Climate Risks in Anambra State, Nigeria. Part III: Integrated Systems and Urban Disaster Resilience. 12. Mapping of Flood Risk and Shelter Suitability: A Case Study in Diphu Town, Karbi Anglong District, Assam, India. 13. Integrating AI-Driven Last-Mile Logistics into Urban Disaster Resilience Frameworks.

Part I: Advanced Technologies for Disaster Risk Assessment. 1. Damage Assessment and Situational Awareness: Application of Advanced Technologies. 2. Applying Machine Learning for Poverty Mapping and Mitigating Social Disasters: A Data-Driven Approach. 3. Prioritization of Watersheds for Estimating Sediment Yield by Geographic Information Systems. 4. An Efficient and Lightweight Technique for Flood Image Classification Using MobileNet: A Deep Learning Approach. Part II: Applications for Risk Assessment and Vulnerability Mapping. 5. Artificial Intelligence Based Predictive Model for Assessing the Economic Impact of Water Release from the Mukutmonipur Dam in West Bengal, India. 6. Integrating Coastal Hazard Risk Assessment and Machine Learning for Vulnerability Mapping along the east coast of Odisha, India. 7. Earthquake Risk and Resilience in Jammu and Kashmir, Northwestern Himalaya, India. 8. Identification of Earthquake Potential Zone for Reducing Vulnerability in Sikkim (Eastern Himalaya) using Machine Learning and Geospatial Techniques. 9. Understanding Spatial Variation of Glacier Zones and Slope induced Risk through Deep Learning and Statistical Methods on selected glaciers of Western Himalaya. 10. A Hybrid IoT-LoRaWAN and Deep Learning Framework for Real-Time Landslide Monitoring and Early Warning. 11. Environmental Effects of Sand Mining: Implications for Vegetation and Climate Risks in Anambra State, Nigeria. Part III: Integrated Systems and Urban Disaster Resilience. 12. Mapping of Flood Risk and Shelter Suitability: A Case Study in Diphu Town, Karbi Anglong District, Assam, India. 13. Integrating AI-Driven Last-Mile Logistics into Urban Disaster Resilience Frameworks.

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VerlagTaylor & Francis Ebooks
EinbandPDF
Erscheinungsjahr2026
Seitenangabe328 S.
AusgabekennzeichenEnglisch
Abbildungen51 schwarz-weiße und 56 farbige Abbildungen, 13 schwarz-weiße und 20 farbige Fotos, 38 schwarz-weiße und 36 farbige Zeichnungen, 73 schwarz-weiße Tabellen
PlattformPDF
AutorChatterjee, Uday (Hrsg.) / Dandapat, Kishor (Hrsg.) / Panda, Gopal Krishna (Hrsg.) / Samanta, Sailesh (Hrsg.) / Mishra, Monalisha (Hrsg.)

Über den Autor Uday (Hrsg.) Chatterjee

Dr. Uday Chatterjee is an Assistant Professor at the Department of Geography, Bhatter College, Dantan, affiliated with Vidyasagar University, West Bengal, India. He earned his Doctoral Degree in Applied Geography from Ravenshaw University, Cuttack, Odisha. His research interests encompass Urban Planning, Social and Human Geography, Applied Geomorphology, Indigenous knowledge and Hazards and Disasters, Risk Assessment and Resilience, Community Response and Environmental Issues. Dr. Chatterjee has been actively involved in editing scholarly works, including the Special Issue on Urbanism, Smart Cities, and Modelling for GeoJournal, Springer, Special issue in Global Social Welfare, Springer and Frontiers journal, Editorial Board Member of Scientific Report (Nature Portfolio) and serving as a Book Series Editor for 'Developments in Environmental Science', Elsevier, and Sustainability Solutions: An Interdisciplinary and Transdisciplinary Nexus, Springer. His extensive research and editorial contributions highlight his commitment to advancing geographical knowledge and its applications. Currently, Dr. Chatterjee completed an international project, in collaboration with Indonesia, Malaysia, and Japan funded by APN (Asia Pacific- Global Change Research, and visited Saudi Arabia for International collaboration and conference session chair and Keio University, Tokyo, Japan as a Visiting Professor. Anitabha Ghosh is a Research Scholar at the Department of Geography, Egra Sarada Shashi Bhusan College (Coastal Environmental Studies Research Center), Egra, Purba Medinipur, West Bengal, under Vidyasagar University. Anitabha Ghosh, a dedicated and accomplished academician with a rich background in Geography and Environmental Management has pursued an extensive educational journey, pursuing PhD from Vidyasagar University. His academic accolades include passing the UGC-NET and WBCSC SET exams multiple times, highlighting his proficiency in Geography and Environmental Science. His areas of research interest cover Applied Geomorphology, Hazards & Disasters Mapping, Environmental Issues, Watershed Management, Social and Human geography. Moreover, Anitabha has enhanced his expertise through numerous certifications in geospatial technologies, remote sensing, and programming languages like Python and R, obtained from renowned institutions including Jadavpur University, ISRO, and NIELIT. His active participation in national and international seminars and conferences underscores his ongoing engagement with current issues in applied geography and environmental management.

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