Water, Land, and Forest Susceptibility and Sustainability, Volume 1: Geospatial Approaches & Modeling brings an interdisciplinary perspective to solving complex problems in sustainability, utilizing the latest research and technologies, and includes case studies that emphasize the applications of remote sensing, GIS, and image processing for addressing the current state and future needs to achieve sustainability. As forests, land, and water are among the most precious resources on earth, emphasizing the need to conserve them for future generations and, of course, a safe and sustainable planet. The assessment of the susceptibility of all these three precious resources must therefore be addressed to inform their sustainable management. This 1st volume encourages adaptive activities among experts employed in interdisciplinary fields, from data mining and machine learning to environmental science by linking geospatial computational intelligence technology to forest, land and water issues.
Dr. Uday Chatterjee is an Assistant Professor at Bhatter College in Dantan, Paschim Medinipur, West Bengal, India, and an Applied Geographer with a Post-Graduate in Applied Geography from Utkal University and a Doctorate in Applied Geography from Ravenshaw University in Cuttack, Odisha. He has contributed to a number of research papers that have been published in reputable national and international publications, as well as edited book volumes. He has also organized (as the convener) a Faculty Development Program on Modern ways of teaching and advanced research methods, which was funded by the Indian Council of Social Science Research (ICSSR). Urban Planning, Social and Human Geography, Applied Geomorphology, Hazards & Disasters, Environmental Issues, Land Use and Rural Development are some of his research interests. The West Bengal Pollution Control Board (WBPCB) of the Government of West Bengal, India, financed his research. He has worked as a reviewer for a number of international publications. Dr. Uday Chatterjee is currently the lead editor of the Springer Special Issue (S.I) on Urbanism, Smart Cities, and Modelling. Distinguished Professor Biswajeet Pradhan PhD (Senior Member, IEEE) is an internationally established Scientist in the fields of climate-induced natural hazards, geospatial information systems (GIS); complex modelling; and spatial data mining. Since 2015, he has been serving as the Ambassador Scientist for the Alexander Humboldt Foundation, Germany. He has published more than 550 articles and has authored/edited eight books and 13 book chapters. He has received 55 awards in recognition of his excellence in teaching, service, and research, since 2006. He was also a recipient of the Alexander von Humboldt Research Fellowship from Germany. From 2016 to 2018, he was listed as the World's Most Highly Cited Researcher by Clarivate Analytics Report as one of the world's most influential mind. He is also an Associate Editor and an Editorial Member of more than eight ISI journals. Dr. S. Suresh Kumara previously worked as a Professor at Universiti Putra Malaysia (UPM), Malaysia. He was Post-Doctoral Research Fellows in at the National Taiwan University, Taiwan and National Central University, Taiwan in the field of yeast genetics and stem cells. He has also worked as a Senior Research Executive (Fermentation of Microbial Drugs) in IPCA Laboratory Ltd, Mumbai, India, R&D officer (Fermentation of Microbial Drugs) in Gujarat Themis Biosyn Ltd., Gujarat, India, a Senior and Junior Research fellow (Fermentation and Purification of Enzymes) in University of Delhi South Campus, New Delhi, India. His research interests are in stem cells with infectious diseases, stem cell niches, infectious diseases in tuberculosis, dengue and leptospirosis, bio-macromolecules, yeast genetics, fermentation and purification of microbial drugs and enzymes, and induced pluripotent stem cells. His research outcomes were published in above 200 peer-reviewed/impact factor journals with an h-index of 36 and i10-index -111. His highest impact factor is around 39.5. Dr. Sourav Saha PhD is a postdoctoral scholar at the University of California, Los Angeles. Dr. Saha is an early career scientist who recently completed his Ph.D. from the University of Cincinnati, USA. He also taught several Geology courses as an adjunct faculty member at Northern Kentucky University, USA. His research interests are focused on the use of geomorphic, geochronologic, remote sensing, and sedimentary tools to quantify surface processes, landscape evolution, paleoseismic, and paleoclimatic changes. His goal is to understand the dynamic interaction between climate, tectonics, and landscapes, especially in environmentally sensitive regions. He uses and develops a variety of geochronometers, especially luminescence and cosmogenic surface exposure dating techniques. He is also a member of the Geological Society of America, the American Geophysical Union, the American Quaternary Association, and several other international organizations. Dr. Mohammad Zakwan PhD is presently working as an Assistant Professor in Maulana Azad National University, Hyderabad, India. He has published numerous papers and has a demonstrated history of working in Water Resource Engineering. He has been serving as an editorial board member and reviewer for various journals. His research interests include modelling of infiltration, modelling river water quality, sediment rating curves, stage discharge curves, computation of effective discharge and dominant discharge, climate change, trend analysis in water resources, river engineering, hydraulics, and hydrology of rivers. Dr. Mohammad Zakwan was a recipient of Gold medals during his M.Tech and B.Tech. He was awarded MHRD GATE scholarship and CSIR NET JRF scholarship for his M.Tech and PhD, respectively.
Title: Water, Land, and Forest Susceptibility and Sustainability: Geospatial Approaches and Modeling (Science of Sustainable Systems)
Author:
ISBN: 9780323918800
Binding:
Publisher: Elsevier - Health Sciences Division
Publication Date: 2022-11-29
Number of Pages: 576
Weight: 0.4492 kg
