ruidas dipankar (8 Ergebnisse)

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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Hardcover. Zustand: Brand New. 300 pages. 9.26x6.11x9.49 inches. In Stock.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Hardcover. Zustand: Brand New. 450 pages. 9.26x6.11x9.21 inches. In Stock.

Hardcover. Zustand: Brand New. 657 pages. 9.25x6.25x1.50 inches. In Stock.