CRC Press Mapping, Monitoring, and Modeling Land and Water Resources: Advanced Techniques Using Open Source Software

Product Description The wide range of challenges in studying Earth system dynamics due to uncertainties in climate change and complex interference from human activities is creating difficulties in managing land and water resources and ensuring their sustainable use. Mapping, Monitoring, and Modeling Land and Water Resources brings together real-world case studies accurately surveyed and assessed through spatial modeling. The book focuses on the effectiveness of combining remote sensing, geographic information systems, and R. The use of open source software for different spatial modeling cases in various fields, along with the use of remote sensing and geographic information systems, will aid researchers, students, and practitioners to understand better the phenomena and the predictions by future analyses for problem-solving and decision-making. About the Author Dr. Pravat Kumar Shit is an Assistant Professor at the P.G. Department of Geography, Raja N. L. Khan Women’s College (Autonomous), West Bengal, India. He received his M.Sc & Ph.D. degrees in Geography from Vidyasagar University and PG Diploma in Remote Sensing & GIS from Sambalpur University. His research interests include applied geomorphology, soil erosion, groundwater, forest resources, wetland ecosystem, environmental contaminants & pollution, and natural resources mapping & modelling. He has published nine books (seven books in Springer) and more than 60 papers in peer-reviewed journals. He is currently the editor of the GIScience and Geo-environmental Modelling (GGM) Book Series, Springer-Nature. Dr. Pulakesh Das is currently work in World Resources Institute India (WRII), New Delhi India. Previously, he was teaching as an Assistant Professor in the Department of Remote Sensing & GIS, Vidyasagar University, Midnapore, West Bengal, India. He has received his Ph.D. degree from the Indian Institute of Technology (IIT) Kharagpur, India in July 2019. He completed his M.Sc (2012) in Remote Sensing & GIS and B.Sc (2010) in Physics from the Vidyasagar University, Midnapore, West Bengal, India. His primary research area includes Land Use Forest Cover (LUFC) modeling, Hydrological Modeling, Forest Cover Dynamics and Climate Change, Digital Image Processing, Microwave Remote Sensing for Soil Moisture and Forest Biomass Estimation, Plant Biophysical Characterization, etc. He has published more than 13 research articles in reputed peer-reviewed journals. Dr Gouri Sankar Bhunia received Ph.D. from the University of Calcutta, India in 2015. His Ph.D. dissertation work focused on environmental control measures of infectious disease using geospatial technology. His research interests include environmental modelling, risk assessment, natural resources mapping and modelling, data mining and information retrieval using Geospatial technology. Dr Bhunia is associate editor and on the editorial boards of three international journal in health GIS and Geosciences. Dr. Bhunia has published more than 60 articles in various scopus indexed journals. Dr. Dipanwita Dutta has been working as Assistant Professor in the Department of Remote Sensing and GIS, Vidyasagar University since October 2012. She completed her M. Sc. in Geography from the University of Calcutta in 2006 and obtained her second M. Sc. degree in Remote Sensing and GIS under a joint collaboration program of International Institute for Geo-information science and Earth Observation (ITC), University of Twente (The Netherlands) and Indian Institute of Remote Sensing, Dehradun (India) in the year 2010. She started her career as senior research fellow at the Indian Agricultural Research Institute, Pusa, New Delhi. She received her Ph. D. degree from Jamia Millia Islamia, New Delhi in collaboration with Indian Institute of Technology (IIT) Kharagpur, India in 2016. Her broad area of research includes agricultural drought, dryland issues, crop monitoring, land use dynamics, urban green space and her research projects have