Geoinformatics and Modelling of Landslide Susceptibility and Risk, Sujit Mandal; Subrata Mondal
Автор: Joseph Awange; John Kiema Название: Environmental Geoinformatics ISBN: 3030030164 ISBN-13(EAN): 9783030030162 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
This second edition includes updated chapters from the first edition as well as five additional new chapters (Light detection and ranging (LiDAR), CORONA historical de-classified products, Unmanned Aircraft Vehicles (UAVs), GNSS-reflectometry and GNSS applications to climate variability), shifting the main focus from monitoring and management to extreme hydro-climatic and food security challenges and exploiting big data. Since the publication of first edition, much has changed in terms of technology, and the demand for geospatial data has increased with the advent of the big data era. For instance, the use of laser scanning has advanced so much that it is unavoidable in most environmental monitoring tasks, whereas unmanned aircraft vehicles (UAVs)/drones are emerging as efficient tools that address food security issues as well as many other contemporary challenges. Furthermore, global navigation satellite systems (GNSS) are now responding to challenges posed by climate change by unravelling the impacts of teleconnection (e.g., ENSO) as well as advancing the use of reflected signals (GNSS-reflectometry) to monitor, e.g., soil moisture variations. Indeed all these rely on the explosive use of “big data” in many fields of human endeavour.
Moreover, with the ever-increasing global population, intense pressure is being exerted on the Earth’s resources, leading to significant changes in its land cover (e.g., deforestation), diminishing biodiversity and natural habitats, dwindling fresh water supplies, and changing weather and climatic patterns (e.g., global warming, changing sea level). Environmental monitoring techniques that provide information on these are under scrutiny from an increasingly environmentally conscious society that demands the efficient delivery of such information at a minimal cost. Environmental changes vary both spatially and temporally, thereby putting pressure on traditional methods of data acquisition, some of which are highly labour intensive, such as animal tracking for conservation purposes. With these challenges, conventional monitoring techniques, particularly those that record spatial changes call for more sophisticated approaches that deliver the necessary information at an affordable cost. One direction being pursued in the development of such techniques involves environmental geoinformatics, which can act as a stand-alone method or complement traditional methods.
Автор: Igor Ivan; Itzhak Benenson; Bin Jiang; Ji?? Hor?k; Название: Geoinformatics for Intelligent Transportation ISBN: 331911462X ISBN-13(EAN): 9783319114620 Издательство: Springer Рейтинг: Цена: 121890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The aim of the book is to present and discuss new methods, issues and challenges involved in geoinformatics` contribution to making transportation more intelligent, efficient and human-friendly.
Автор: Keller G Randy Название: Geoinformatics ISBN: 1108446582 ISBN-13(EAN): 9781108446587 Издательство: Cambridge Academ Рейтинг: Цена: 57030.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Advanced information technology infrastructure is being increasingly employed in the Earth sciences. Geoinformatics uses a series of case studies to provide a fascinating and accessible introduction to this emerging field and an invaluable reference for researchers interested in developing new cyberinfrastructure projects of their own.
Автор: Sujit Mandal; Subrata Mondal Название: Statistical Approaches for Landslide Susceptibility Assessment and Prediction ISBN: 3030067394 ISBN-13(EAN): 9783030067397 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book focuses on the spatial distribution of landslide hazards of the Darjeeling Himalayas. Knowledge driven methods and statistical techniques such as frequency ratio model (FRM), information value model (IVM), logistic regression model (LRM), index overlay model (IOM), certainty factor model (CFM), analytical hierarchy process (AHP), artificial neural network model (ANN), and fuzzy logic have been adopted to identify landslide susceptibility. In addition, a comparison between various statistical models were made using success rate cure (SRC) and it was found that artificial neural network model (ANN), certainty factor model (CFM) and frequency ratio based fuzzy logic approach are the most reliable statistical techniques in the assessment and prediction of landslide susceptibility in the Darjeeling Himalayas. The study identified very high, high, moderate, low and very low landslide susceptibility locations to take site-specific management options as well as to ensure developmental activities in theDarjeeling Himalayas.Particular attention is given to the assessment of various geomorphic, geotectonic and geohydrologic attributes that help to understand the role of different factors and corresponding classes in landslides, to apply different models, and to monitor and predict landslides. The use of various statistical and physical models to estimate landslide susceptibility is also discussed. The causes, mechanisms and types of landslides and their destructive character are elaborated in the book. Researchers interested in applying statistical tools for hazard zonation purposes will find the book appealing.
Автор: Mandal Название: Statistical Approaches for Landslide Susceptibility Assessment and Prediction ISBN: 3319938967 ISBN-13(EAN): 9783319938967 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 1. Concept on Landslides and Landslide Susceptibility2. Geomorphic, Geo-tectonic and Hydrologic Attributes and Landslide Probability3. Frequency Ratio Model (FRM) and Information Value Model (IVM) in landslide susceptibility Assessment and Prediction4. Logistic Regression Model (LRM) and Landslide Susceptibility: A RS & GIS based approach5. Artificial Neural Network (ANN) Model and Landslide Susceptibility6. Weighted Index Overlay Model (WIOM), Certainty factor approach (CFA) and Analytical Hierarchy Process (AHP) in Landslide Susceptibility Studies7. Knowledge driven Statistical Approach for Landslide Susceptibility Assessment using GIS and Fuzzy Logic8. Comparison between Statistical Models: A Review and EvaluationIndex
Автор: Joseph L Awange et al Название: Algebraic Geodesy and Geoinformatics ISBN: 3642431135 ISBN-13(EAN): 9783642431135 Издательство: Springer Рейтинг: Цена: 204970.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book presents modern and efficient methods for solving Geodetic and Geoinformatics algebraic problems.
Название: Geoinformatics for Marine and Coastal Management ISBN: 0367873680 ISBN-13(EAN): 9780367873684 Издательство: Taylor&Francis Рейтинг: Цена: 70430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides a timely and valuable assessment of the current state of the art geoinformatics tools and methods for the management of marine systems. This book focuses on the cutting-edge coverage of a wide spectrum of activities and topics such as GIS-based application of drainage basin analysis, contribution of ontology to marine manageme
Автор: Bevan Chris Название: Techniques and Technologies in Geoinformatics ISBN: 1682866076 ISBN-13(EAN): 9781682866078 Издательство: Неизвестно Цена: 166290.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Myers, Wayne L. , Patil, Ganapati P. Название: Statistical Geoinformatics for Human Environment Interface ISBN: 1138372722 ISBN-13(EAN): 9781138372726 Издательство: Taylor&Francis Рейтинг: Цена: 65320.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Statistical Geoinformatics for Human Environment Interface presents two paradigms for studying both space and interface with regard to human/environment: localization and multiple indicators.
The first approach localizes thematic targets by treating space as a pattern of vicinities, with the pattern being a square grid and the placement of vicinities centrically referenced. The second approach explores human/environment interface as an abstraction through indicators, neutralizing the common conundrum of how to reconcile disparate spatial structures such as points, lines, and polygons. These paired paradigms enable:
The capacity to cope with complexity
Systematic surveillance
Visualization and communication
Preliminary prioritization
Coupling of GIS and statistical software
Avenues for automation
Illustrating the interdisciplinary nature of geoinformatics, this book offers a novel approach to the spatial analysis of human influences and environmental resources. It includes practical strategies for statistical and spatial analysis.
Автор: Sathaporn Monprapussorn; Zhaohui Lin; Asamaporn Si Название: Geoinformatics for Sustainable Development in Asian Cities ISBN: 3030338991 ISBN-13(EAN): 9783030338992 Издательство: Springer Рейтинг: Цена: 214280.00 T Наличие на складе: Поставка под заказ. Описание: This proceedings volume focuses on the importance and power of spatial thinking and planning, especially by applying geospatial technologies in solving the past and current global problems such as environmental degradation, urban pollution, climate change, agricultural management and epidemiology.The proceedings of the International Conference on Geography and Geoinformatics for Sustainable Development 2018 (ICGGS 2018) consist of a wide range of case studies from developing countries.
The contributions address challenges of developing countries in mainstreaming sustainable development paradigm into their economy with the aim to improve and manage natural resources and environment in a sustainable manner.
One of the main goals of the conference and the proceedings is to share and exchange different perspectives on global, regional and local spatial issues and how the concept of spatial planning and thinking can be used in building resilience to natural and anthropogenic threats in many sectors (such as water, ecosystem, agriculture and health). This includes a summary of how the key concepts of geospatial technologies could contribute to environmental sustainability and the Sustainable Development Goals (SDGs) as well as an outlook on challenges and opportunities for sustainable development. This book explains how geoinformatics can help analyse, model and explain sustainable development within a geographic context and thus provide the integrative framework necessary for global collaboration consensus and evidence-based decision-making. It highlights the vital and integrative role of geospatial information in driving sustainable development and thus can be used as a tool to put the 2030 Agenda for Sustainable Development into practice.
This volume can be a useful resource for readers regarding research on geospatial issues on both the regional and local scale. Both undergraduate and graduate students around the globe can advance their academic and research knowledge of past and present environmental problems and learn how geospatial planning can be applied for sustainable development. It also appeals to researchers, academics, practitioners, community developers and policy makers interested in promoting sustainable development.
Автор: Guido Cervone; Jessica Lin; Nigel Waters Название: Data Mining for Geoinformatics ISBN: 1489985743 ISBN-13(EAN): 9781489985743 Издательство: Springer Рейтинг: Цена: 88500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The rate at which geospatial data is being generated exceeds our computational capabilities to extract patterns for the understanding of a dynamically changing world. Geoinformatics and data mining focuses on the development and implementation of computational algorithms to solve these problems. This unique volume contains a collection of chapters on state-of-the-art data mining techniques applied to geoinformatic problems of high complexity and important societal value. Data Mining for Geoinformatics addresses current concerns and developments relating to spatio-temporal data mining issues in remotely-sensed data, problems in meteorological data such as tornado formation, estimation of radiation from the Fukushima nuclear power plant, simulations of traffic data using OpenStreetMap, real time traffic applications of data stream mining, visual analytics of traffic and weather data and the exploratory visualization of collective, mobile objects such as the flocking behavior of wild chickens. This book is designed for researchers and advanced-level students focused on computer science, earth science and geography as a reference or secondary text book. Practitioners working in the areas of data mining and geoscience will also find this book to be a valuable reference.
Автор: Joseph L. Awange; John B. Kyalo Kiema Название: Environmental Geoinformatics ISBN: 3662521504 ISBN-13(EAN): 9783662521502 Издательство: Springer Рейтинг: Цена: 139310.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Assembling a wealth of multi-disciplinary techniques for addressing environmental problems such as pollution and climate change, this volume features simplified presentation aimed at non-experts, demonstrating geoinformatics potency as a research toolkit.
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