This book illustrates a geospatial technology approach to data mining techniques, data analysis, modelling, risk assessment and visualization and management strategies in many elements of natural and societal hazards. This book delves into cutting-edge techniques based on open-source software and R statistical programming, Google Earth Engine and modelling in modern artificial intelligence techniques, with a particular emphasis on recent trends in data mining techniques and robust modelling in water resource crisis-related hazards. Furthermore, this book also discusses how to manage water resources at various local, regional and international levels while incorporating environmental considerations. This book contains works that address the connection between climate change, extreme events and resilience. These works include those that identify and evaluate policies, quantify the effects of public interventions, climate change on extreme events, describe the decision-making process and its role in modelling for resilience. This book's subjects be of interest to earth and environmental scientists, professionals and authorities. This book focuses at geospatial modelling and climate change management. A relationship between three technologies, including remote sensing (RS), geographic information systems (GIS) and the R programming environment, is acknowledged as particularly effective in this regard. This book, on the other hand, serves as a practical guide to identify the most recent breakthroughs in geospatial and geostatistical approaches and their application in the field of subsurface water-induced hazards throughout the world.

This book is specifically designed to serve the community of Undergraduates, Postgraduates and Researchers, Policymakers, Environmentalists, Natural Hazards and Disasters Management, NGOs, Corporate Sectors, Social Scientists, and Government Organizations in the fields of Environmental Sciences, Geography, Hydrology, Natural Hazards, Geospatial Sciences, Remote Sensing & GIS, Agriculture, Crop-Science, Forestry, Soil Science, Agronomy, Humanistic & Social Sciences and so on.

Illustrates a geospatial technology approach to data mining techniques Delves into cutting-edge techniques based on open-source software and R statistical programming Quantifies the effects of public interventions, climate change on extreme events

Autorentext

Dr. Subodh Chandra Pal is Assistant Professor and has been working in the Postgraduate Department of Geography, The University of Burdwan, Purba Bardhaman, West Bengal, India. He received his Ph.D. in Geography from Visva-Bharati (Central University in India) in 2015. His main fields of expertise are fluvial geomorphology, pedo-geomorphology, land degradation, soil erosion, gully erosion, landslide vulnerability, climate change, water resources monitoring and management and published more than hundreds international and national research articles in various renowned journals. His research work has been funded by the University Grants Commission (UGC), Govt. of India and Department of Science and Technology (DST), Govt. of India. Dr. Pal has served as a reviewer for many International reputed journals.

Dr. Uday Chatterjee is Assistant Professor at the Department of Geography, Bhatter College, Dantan, Kharagpur, West Bengal, India and Applied Geographer with a Post-Graduate in Applied Geography at Utkal University and Doctoral Degrees in Applied Geography at Ravenshaw University, Cuttack, Odisha, India. He has contributed various research papers published in various reputed national and international journals and edited book volumes. He has jointly edited books entitled 'Harmony with nature: Illusions and Elusions from Geographer's perspective in the 21st Century' and 'Land Reclamation and Restoration Strategies for Sustainable Development' (November 2021, Edition: 1st, Publisher: Elsevier, Editor: Dr. Gouri Sankar Bhunia, Dr. Uday Chatterjee, Dr. Anil Kashyap, Dr. Pravat Kumar Shit.

Asish Saha is currently engaging as a Ph.D. Research Scholar in the Department of Geography, The University of Burdwan, Bardhaman, West Bengal, India. He received his Master's degree in Geography from The University of Burdwan and Post Graduate diploma in Geoinformatics from Department of Science and Technology, Govt. of West Bengal, in collaboration with Maulana Abul Kalam Azad University of Technology, Kolkata. His fields of expertise are Climate Change, Climate Variability, Regional Climate Modelling, Hydro-climatic extremes, Water Resources Management, Water Quality, Hazard and Risk Assessment and Statistical Modelling. He has published more than eighty international and national research articles in various renowned journals like Springer, Elsevier, Willey and Taylor & Francis group.

Dipankar Ruidas is currently engaging as a M.Phil. Research Scholar in the Department of Geography, The University of Burdwan, Bardhaman, West Bengal, India. His prior fields of expertise are Water Resources Management and Water Quality. He has published more than ten international and national research articles in various renowned journals like Springer and Elsevier group. His research work has been funded by the University Grants Commission (UGC), India.

Inhalt

Part-I. Climate Change and Hydro-Meteorological events.- Chapter-1. Introduction to climate change and extreme events.- Chapter-2. Climate change, extreme events and resilience: a critical review.- Chapter 3. Analysis of weather- and climate-related disasters in mountain regions.- Chapter 4. Remote Sensing based analysis of future projection of flood hazard under climate change.- Chapter 5.Spatio-temporal dynamics of Drought susceptibility using GCM models under climate change.- Chapter 6. Climate change vulnerability of water resource management: An empirical observation.- Chapter 7. Integrating modelling, monitoring, and management to minimize significant uncertainties in drought hazard decision making.- Chapter 8. Prediction of flood hazard vulnerability trend under climate change scenarios.- Chapter 9. Climate crisis drought vulnerability modeling using Geostatistics and Geospatial tools.- Part-II. Resilience to climate Crisis in the Anthropocene.- Chapter 10. Climate change, extreme events and resilience: a paradigm shift.- Chapter 11. Vulnerability and resilience to climate change in riverine ecosystems.- Chapter 12. Climate change and cloud burst: vulnerability and resilience strategies.- Chapter 13. Climate crisis, Resilience and Preparedness among Coastal Communities.- Chapter 14. Sustainable resilience for integrated river basin management under climate change .- Chapter 15. Stakeholders' perceptions and traditional management plans to climate change resilience on extreme events.- Chapter 16. Climate change and community resilience for sustainable development.- Chapter 17. A critical review of climate change induced extreme events and management in the context of SDG 2030.