Subodh Chandra Pal – författare

Water Resources Monitoring, Management, and Sustainability: Application of Geostatistics and Geospatial Modeling, Volume 16, a new volume in the Developments in Environmental Science series, introduces a variety of advanced modeling techniques like changing climate and land use/land cover, hydrological models, and machine learning approaches. These techniques are applied to address water resources and environmental monitoring, as well as planning and sustainable management of water resources. Further, the book discusses how to manage water resources at various local, regional, and international levels while incorporating environmental considerations.Finally, it delves into 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 datamining techniques and robust modeling in water resource crisis-related hazards.

Provides essential information on new methods for managing water resources to minimize the global water crisisIllustrates a geospatial technology approach to datamining techniques, data analysis, modeling, risk assessment and visualization, and management strategies in many elements of natural and societal hazardsIncludes works that address the connection between water, climate change, and the environment

Applications of Geospatial Technology and Modeling for River Basin Management, Volume Twelve covers the use of multi-temporal satellite data for accurate estimations of different watershed features. It includes methods and case studies of the use of geographic information systems (GIS) as a valuable tool for criteria-based spatial analysis to manage natural resources and accurately simulate natural phenomena such as the hydrologic response of a watershed to precipitation and susceptibility to water erosion. The book also provides direction on many types of modelling and mapping techniques in geospatial environments based on river basin management challenges. This book will be a useful guide for academics, researchers, and practitioners involved in the use of geospatial technologies for river basin management, as well as those interested in environmental management and Earth surface geomorphology.

Covers the use of geospatial technologies and modeling for effective management of river basinsIncludes methodology and detailed case studies showing real-world applications at a variety of scalesEmphasizes the importance of integrating geospatial tools in decision-making processes for sustainable water resource management

This work focuses on the potential impact of climate change on soil erosion in a monsoon-dominated sub-tropical region.

This work focuses on the potential impact of climate change on soil erosion in a monsoon-dominated sub-tropical region.

The book illustrates a geospatial and geostatistical approach to data analysis, modeling, risk assessment, and visualization, as well as landslide hazard management in the hilly region. This book investigates cutting-edge methodologies based on open source software and R statistical programming and modeling in current decision-making procedures, with a particular emphasis on recent advances in data mining techniques and robust modeling in torrential rainfall and earthquake induced landslide hazard.

The book illustrates a geospatial and geostatistical approach to data analysis, modeling, risk assessment, and visualization, as well as landslide hazard management in the hilly region.

The book is a research of the surface and subsurface hydrological processes as a result of over-exploitation for agricultural production and irrigation, which resulted in a significant drop in water even during pre-monsoon period and a charge up study to control surface and subsurface water scarcity.

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 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.

This book presents a comprehensive geospatial technology approach to data mining, data analysis, modeling, risk assessment, visualization, and management strategies, with a specific focus on various aspects of soil degradation-induced land degradation and desertification. It explores advanced methodologies leveraging open-source software, R statistical programming, Google Earth Engine, and modern artificial intelligence techniques. Particular emphasis is placed on recent advancements in data mining and robust modeling approaches related to extreme events associated with land degradation crises.The volume brings together recent developments and rigorous applications of geospatial and geostatistical techniques in the context of soil degradation and desertification. It covers a wide range of analytical methods, including the Analytic Hierarchy Process (AHP), Multi-Criteria Decision Making (MCDM), Logistic Regression (LR), Evidential Belief Function (EBF), as well as supervised and unsupervised classification algorithms. Additionally, it highlights the use of Artificial Neural Networks (ANN), Machine Learning Algorithms (MLA), Support Vector Machines (SVM), Fuzzy Logic (FZ), Radial Basis Function (RBF) networks, General Regression Neural Networks (GRNN), Probabilistic Neural Networks (PNN), Mixture Density Networks (MDN), Self-Organizing Maps (SOM), and various hybrid computational techniques.