Remotely Sensed Rivers in the Age of Anthropocene

This book offers a geospatial technology approach to data mining techniques, data analysis, modeling, risk assessment, and visualization, as well as management strategies in many elements of river basin risks. This book investigates cutting-edge techniques based on open source software and R statistical programming Google Earth Engine and modeling in modern artificial intelligence techniques, with a particular emphasis on recent trends in data mining techniques and robust modeling in river basin management. It includes significant issues such as geomorphological hazards, climate change, catastrophic natural disasters, meteorological and agricultural drought monitoring, landslides or mudslides (mudflow), floods and flash floods, soil erosion, and land degradation. This book's contents are of interest to earth and environmental scientists, professionals, and policymakers. The book examines spatial modeling, risk evaluation of a drainage basin in the domain of environmental and social issues, management, and associated research. Due to poorly understood climate change and unclear man-made activity, there are several problems and uncertainties in studying earth's environmental circumstances, making it exceedingly difficult to analyze and make knowledgeable judgments. Many difficulties, on the other hand, are caused by mismanagement of present and future land, water, and forestry resources. It is also critical to use new technology and methods to improve and reinforce environmental protection. The link between the three devices, namely remote sensing (RS), GIS, and the R programming interface, is acknowledged in this respect. Land conservation measures, soil and water quality control, and new rules should all rely on correct measurements and predictions, and three technologies (RS, GIS, and R) and open access quantitative forecasting methodologies help with climate change and better management regulations. Nonetheless, this book serves as a feasible framework for studying current breakthroughs in geospatial artificial intelligence technologies and their relevance to the planet's environmental and socioeconomic concerns in a single volume.

Dr. Subodh Chandra Pal, Assistant Professor, has been working in the Postgraduate Department of Geography, the University of Burdwan, 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 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' 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.

Dr. Martiwi Diah Setiawati is a Research Fellow and Academic Associate for the Water and Resource Management Programme at UNU-IAS. She received her doctoral degree in Environmental Science and Engineering, working on applying multi-sensor satellite data for habitat studies. As a postdoctoral researcher, she was involved in Indonesia's Climate Change Adaptation Initiatives Project, a collaboration between the Ministry of the Environment of Japan (MOEJ) and the Ministry of National Development Planning of the Republic of Indonesia (BAPPENAS) to mainstream climate change adaptation into a local development plan. Before joining UNU-IAS, Dr. Setiawati worked as a Research Scientist at the National Research and Innovation Agency of Indonesia (BRIN) and as a Project Researcher at the University of Tokyo.

Dipankar Ruidas is a former MPhil 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 tweenty one 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. Currently, he is work as an assistant teacher at the education department under Bihar Government, India.