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Statistical Approaches For Landslide Susceptibility Assessment And Prediction

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Statistical Approaches For Landslide Susceptibility Assessment And Prediction

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Author : Sujit Mandal
language : en
Publisher: Springer
Release Date : 2018-09-03

Statistical Approaches For Landslide Susceptibility Assessment And Prediction written by Sujit Mandal and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-03 with Nature categories.

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.

Landslide Susceptibility Risk Assessment And Sustainability

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Author : Gopal Krishna Panda
language : en
Publisher: Springer Nature
Release Date : 2024-05-14

Landslide Susceptibility Risk Assessment And Sustainability written by Gopal Krishna Panda and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-14 with Nature categories.

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.

Geoinformatics And Modelling Of Landslide Susceptibility And Risk

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Author : Sujit Mandal
language : en
Publisher: Springer
Release Date : 2019-06-11

Geoinformatics And Modelling Of Landslide Susceptibility And Risk written by Sujit Mandal and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-11 with Science categories.

This book discusses various statistical models and their implications for developing landslide susceptibility and risk zonation maps. It also presents a range of statistical techniques, i.e. bivariate and multivariate statistical models and machine learning models, as well as multi-criteria evaluation, pseudo-quantitative and probabilistic approaches. As such, it provides methods and techniques for RS & GIS-based models in spatial distribution for all those engaged in the preparation and development of projects, research, training courses and postgraduate studies. Further, the book offers a valuable resource for students using RS & GIS techniques in their studies.

Gis Landslide

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Author : Hiromitsu Yamagishi
language : en
Publisher: Springer
Release Date : 2016-09-06

Gis Landslide written by Hiromitsu Yamagishi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-06 with Science categories.

Landslide studies using the geographic information system (GIS) is a new field, which includes not only the science of GIS and remote sensing, but also technical innovations, such as detailed light detection and ranging (LIDAR) profiles, among others. To date, most of the research on landslides has been found in journals on geology, geotechnology, landslides, and GIS, and is limited to specific scientific aspects. The GIS Landslide Workshop has been established in order to communicate and solve the scientific as well as technical problems of this discipline, such as how to use GIS software and its functions. This is the first book ever published on GIS landslides with such issues in mind. Because many landslide disasters take place in Japan, most of the scientists and researchers studying landslides are concentrated within Japan. There is also much GIS data on landslides captured and stored by Japanese organizations. For that reason, it is significant that this first book on the topic has been published in Japan. Included among the chapters are analyses of deep-seated landslides; hazard mapping; measuring and visualization of precipitation, floods, and glaciers using GIS; landslides induced by earthquakes; GIS analyses of drainage systems and floods; and landslides in relation to topography and geological structures. Filled with photographs and remote sensing analyses, the volume will be of great value to those in the fields of geography, geology, seismology, environment, remote sensing, atmospheric research, and meteorology, as well as to students of computer science and programming systems.

Geomorphic Risk Reduction Using Geospatial Methods And Tools

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Author : Raju Sarkar
language : en
Publisher: Springer Nature
Release Date : 2024-05-04

Geomorphic Risk Reduction Using Geospatial Methods And Tools written by Raju Sarkar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-04 with Nature categories.

This book explores the use of advanced geospatial techniques in geomorphic hazards modelling and risk reduction. It also compares the accuracy of traditional statistical methods and advanced machine learning methods and addresses the different ways to reduce the impact of geomorphic hazards. In recent years with the development of human infrastructures, geomorphic hazards are gradually increasing, which include landslides, flood and soil erosion, among others. They cause huge loss of human property and lives. Especially in mountainous, coastal, arid and semi-arid regions, these natural hazards are the main barriers for economic development. Furthermore, human pressure and specific human actions such as deforestation, inappropriate land use and farming have increased the danger of natural disasters and degraded the natural environment, making it more difficult for environmental planners and policymakers to develop appropriate long-term sustainability plans. The most challenging task is to develop a sophisticated approach for continuous inspection and resolution of environmental problems for researchers and scientists. However, in the past several decades, geospatial technology has undergone dramatic advances, opening up new opportunities for handling environmental challenges in a more comprehensive manner. With the help of geographic information system (GIS) tools, high and moderate resolution remote sensing information, such as visible imaging, synthetic aperture radar, global navigation satellite systems, light detection and ranging, Quickbird, Worldview 3, LiDAR, SPOT 5, Google Earth Engine and others deliver state-of-the-art investigations in the identification of multiple natural hazards. For a thorough examination, advanced computer approaches focusing on cutting-edge data processing, machine learning and deep learning may be employed. To detect and manage various geomorphic hazards and their impact, several models with a specific emphasis on natural resources and the environment may be created.

Landslide Hazard And Risk

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Author : Thomas Glade
language : en
Publisher: John Wiley & Sons
Release Date : 2006-01-04

Landslide Hazard And Risk written by Thomas Glade and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-01-04 with Science categories.

With the increasing need to take an holistic view of landslide hazard and risk, this book overviews the concept of risk research and addresses the sociological and psychological issues resulting from landslides. Its integrated approach offers understanding and ability for concerned organisations, landowners, land managers, insurance companies and researchers to develop risk management solutions. Global case studies illustrate a variety of integrated approaches, and a concluding section provides specifications and contexts for the next generation of process models.

Geographic Information Systems For Geoscientists

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Author : Graeme F. Bonham-Carter
language : en
Publisher: Elsevier
Release Date : 2014-05-18

Geographic Information Systems For Geoscientists written by Graeme F. Bonham-Carter and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-18 with Travel categories.

Geographic Information Systems for Geoscientists: Modelling with GIS provides an introduction to the ideas and practice of GIS to students and professionals from a variety of geoscience backgrounds. The emphasis in the book is to show how spatial data from various sources (principally paper maps, digital images and tabular data from point samples) can be captured in a GIS database, manipulated, and transformed to extract particular features in the data, and combined together to produce new derived maps, that are useful for decision-making and for understanding spatial interrelationship. The book begins by defining the meaning, purpose, and functions of GIS. It then illustrates a typical GIS application. Subsequent chapters discuss methods for organizing spatial data in a GIS; data input and data visualization; transformation of spatial data from one data structure to another; and the combination, analysis, and modeling of maps in both raster and vector formats. This book is intended as both a textbook for a course on GIS, and also for those professional geoscientists who wish to understand something about the subject. Readers with a mathematical bent will get more out of the later chapters, but relatively non-numerate individuals will understand the general purpose and approach, and will be able to apply methods of map modeling to clearly-defined problems.

Landslide Databases As Tools For Integrated Assessment Of Landslide Risk

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Author : Martin Klose
language : en
Publisher: Springer
Release Date : 2015-06-24

Landslide Databases As Tools For Integrated Assessment Of Landslide Risk written by Martin Klose and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-24 with Nature categories.

This doctoral thesis presents a novel approach to landslide risk assessment that explores the various dimensions of landslide risk in an integrated perspective. The research approach introduced here is tailored for use with landslide databases and Geographic Information Systems (GIS). A landslide susceptibility model is at the heart of this new approach, enabling to identify and delineate areas at risk of landslides and to assess infrastructure exposure. Landslide risk is a pressing societal issue that is still poorly understood. Temporal landslide hazard is derived from landslide frequency statistics and a hydrological simulation approach to estimate triggering thresholds. These methods are integrated into a powerful toolset for cost modeling that uses historical data to compile, model, and extrapolate damage costs on different spatial scales over time. The combination of this toolset with techniques to analyze fiscal cost impacts supports integrated risk assessment by quantifying the economic relevance of landslide losses.

Geoinformatics And Modelling Of Landslide Susceptibility And Risk

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Author : Sujit Mandal
language : en
Publisher: Springer
Release Date : 2019-05-28

Laser Scanning Applications In Landslide Assessment

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Author : Biswajeet Pradhan
language : en
Publisher: Springer
Release Date : 2017-05-04

Laser Scanning Applications In Landslide Assessment written by Biswajeet Pradhan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-04 with Technology & Engineering categories.

This book is related to various applications of laser scanning in landslide assessment. Landslide detection approaches, susceptibility, hazard, vulnerability assessment and various modeling techniques are presented. Optimization of landslide conditioning parameters and use of heuristic, statistical, data mining approaches, their advantages and their relationship with landslide risk assessment are discussed in detail. The book contains scanning data in tropical forests; its indicators, assessment, modeling and implementation. Additionally, debris flow modeling and analysis including source of debris flow identification and rockfall hazard assessment are also presented.

Statistical Approaches For Landslide Susceptibility Assessment And Prediction

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