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This book is a printed edition of the Special Issue "Application of Artificial Neural Networks in Geoinformatics" that was published in Applied Sciences
Landslides are destructive processes causing casualties and damage worldwide. The majority of the landslides are triggered by intense and/or prolonged rainfall. Therefore, the prediction of the occurrence of rainfall-induced landslides is an important scientific and social issue. To mitigate the risk posed by rainfall-induced landslides, landslide early warning systems (LEWS) can be built and applied at different scales as effective non-structural mitigation measures. Usually, the core of a LEWS is constituted of a mathematical model that predicts landslide occurrence in the monitored areas. In recent decades, rainfall thresholds have become a widespread and well established technique for th...
Climate change is increasingly being considered a critical topic in research and policy-making. Evidences related to climate change deal with spatial and non-spatial data, which can be utilized for policy formulation. Geoinformatics, which includes remote sensing, GIS, GPS, and ICT, provides the most relevant technology to monitor climate change-related variables at different dimensions and scales. Geoinformatics for Climate Change Studies discusses the art of using this technology for investigating, monitoring, documenting, and understanding the impacts of climate change. This book provides information on the concepts and uses of geoinformatics, and focuses on filling the gap in the available literature on the subject by bringing together concepts, theories, and experiences of experts in this field.
This book is designed to provide a detailed, methodological framework for landslide hazard assessment. The focus is on various dimensions of landslide hazard assessment, including the terminologies used in landslide hazard analysis and landslide inventory systems used globally and their relevance in generating a complete and reliable landslide database for further analysis, supported by global case studies. It includes an overview of the methodological developments in landslide hazard assessment and role of geospatial technologies in landslide studies. Features: Helps readers to understand the technical details of geospatial techniques applied in hazard management. Deals with the practicalit...
This book describes concepts and tools needed for water resources management, including methods for modeling, simulation, optimization, big data analysis, data mining, remote sensing, geographical information system, game theory, conflict resolution, System dynamics, agent-based models, multiobjective, multicriteria, and multiattribute decision making and risk and uncertainty analysis, for better and sustainable management of water resources and consumption, thus mitigating the present and future global water shortage crisis. It presents the applications of these tools through case studies which demonstrate its benefits of proper management of water resources systems. This book acts as a reference for students, professors, industrial practitioners, and stakeholders in the field of water resources and hydrology.
This edited book entitled "Recent Developments in Historical and Archaeological Researches in Odisha", incorporating seventeen essays on Odisha’s past from prehistory to the modern period. All the seventeen essays are original research papers based on primary and secondary data. These essays are arranged in chronological order and focused on different aspects of Odisha in time and space i.e. prehistoric, protohistoric and early historic archaeology of Odisha, Epigraphic studies, the political and economic history of the ancient and medieval period, temple architecture, modern and contemporary history, and tribal studies.
This book discusses the application of Geospatial data, Geographic Information System (GIS) and Remote Sensing (RS) technologies in analysis and modeling of urban growth process, and its pattern, with special focus on sprawl and compact form of urban development. The book explains these two kinds of urban forms (sprawl and compact urban development) in detail regarding their advantages, disadvantages, indicators, assessment, modeling, implementation and their relationship with urban sustainability. It confirms that the proposed modeling approaches, geospatial data and GIS are very practical for identifying urban growth, land use change patterns and their general trends in future. The analyses and modeling approaches presented in this book can be employed to guide the identification and measurements of the changes and growth likely to happen in urban areas. In addition, this book can be helpful for town planning and development in order to design urban areas in a compact form and eventually sustainable manner.
Predictive Models for the Development of Landslide Early Warning Systems details advanced techniques in implementing landslide early warning systems (LEWS). It provides a comprehensive resource for practitioners including different techniques and models in landslide early warning, their practical applications, and case studies. The modelling theory is provided in a detailed but succinct format, verified with on-site models for specific regions and scenarios for different types of landslides and triggering factors. The book covers four main topics required for an efficient LEWS: monitoring, including data acquisition, transmission and maintenance of the instruments; analysis and forecasting, ...