Author Description

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 Hazar