Statistical Approaches For Landslide Susceptibility Assessment And Prediction

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Statistical Approaches for Landslide Susceptibility Assessment and Prediction

Author : Sujit Mandal,Subrata Mondal
Publisher : Springer
Page : 193 pages
File Size : 44,6 Mb
Release : 2018-09-03
Category : Nature
ISBN : 9783319938974

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Statistical Approaches for Landslide Susceptibility Assessment and Prediction by Sujit Mandal,Subrata Mondal Pdf

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.

Geoinformatics and Modelling of Landslide Susceptibility and Risk

Author : Sujit Mandal,Subrata Mondal
Publisher : Springer
Page : 223 pages
File Size : 45,5 Mb
Release : 2019-05-28
Category : Science
ISBN : 9783030104955

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Geoinformatics and Modelling of Landslide Susceptibility and Risk by Sujit Mandal,Subrata Mondal Pdf

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.

Understanding and Reducing Landslide Disaster Risk

Author : Vít Vilímek,Fawu Wang,Alexander Strom,Kyoji Sassa,Peter T. Bobrowsky,Kaoru Takara
Publisher : Springer Nature
Page : 427 pages
File Size : 45,5 Mb
Release : 2020-12-21
Category : Nature
ISBN : 9783030603199

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Understanding and Reducing Landslide Disaster Risk by Vít Vilímek,Fawu Wang,Alexander Strom,Kyoji Sassa,Peter T. Bobrowsky,Kaoru Takara Pdf

This book is a part of ICL new book series “ICL Contribution to Landslide Disaster Risk Reduction” founded in 2019. Peer-reviewed papers submitted to the Fifth World Landslide Forum were published in six volumes of this book series. This book contains the followings: Part I with topics is mainly about landslides and earthquakes; landslide dams and outburst floods; catastrophic large-scale landslides in mountainous regions. Part II with topics is mainly about impact of climate change; loess landslides; mapping, monitoring and modeling of landslides; stabilization and mitigation; application of new technology in landslide studies. Prof. Vít Vilímek is the vice-president of the International Consortium on Landslides (ICL) and a member of the evaluation committee, Editor-in-Chief of the university journal AUC Geographica and Associate Editor-in-Chief of the international journal Geoenvironmental Disasters. He is a Professor of Physical Geography at Charles University, Prague, Czech Republic. Prof. Fawu Wang is the President of the International Consortium on Geo-disaster Reduction (ICGdR) and the Editor-in-Chief of the international journal Geoenvironmental Disasters. He is a Professor at the School of Civil Engineering, Tongji University, China. Dr. Alexander Strom is a chief expert at the Geodynamics Research Center LLC, Moscow, Russia. He is also an Adjunct Professor at Chang’an University, Xi’an, China, Visiting Professor at SKLGP, Chengdu, China, and an alternative representative of the JSC “Hydroproject Institute” in ICL. Prof. Kyoji Sassa is the Founding President and the Secretary-General of the International Consortium on Landslides (ICL). He has been the Editor-in-Chief of International Journal Landslides since its foundation in 2004. Prof. Peter Bobrowsky is the President of the International Consortium on Landslides. He is a Senior Scientist of Geological Survey of Canada, Ottawa, Canada. Prof. Kaoru Takara is the Executive Director of the International Consortium on Landslides. He is a Professor and Dean of Graduate School of Advanced Integrated Studies (GSAIS) in Human Survivability (Shishu-Kan), Kyoto University.

Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing

Author : Hyung-Sup Jung,Saro Lee
Publisher : MDPI
Page : 438 pages
File Size : 46,6 Mb
Release : 2019-09-03
Category : Technology & Engineering
ISBN : 9783039212156

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Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing by Hyung-Sup Jung,Saro Lee Pdf

As computer and space technologies have been developed, geoscience information systems (GIS) and remote sensing (RS) technologies, which deal with the geospatial information, have been rapidly maturing. Moreover, over the last few decades, machine learning techniques including artificial neural network (ANN), deep learning, decision tree, and support vector machine (SVM) have been successfully applied to geospatial science and engineering research fields. The machine learning techniques have been widely applied to GIS and RS research fields and have recently produced valuable results in the areas of geoscience, environment, natural hazards, and natural resources. This book is a collection representing novel contributions detailing machine learning techniques as applied to geoscience information systems and remote sensing.

Landslides

Author : Roy C. Sidle,Hirotaka Ochiai
Publisher : American Geophysical Union
Page : 352 pages
File Size : 52,5 Mb
Release : 2006-01-10
Category : Science
ISBN : UOM:39015067712425

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Landslides by Roy C. Sidle,Hirotaka Ochiai Pdf

Published by the American Geophysical Union as part of the Water Resources Monograph Series, Volume 18. Landslides are a constant in shaping our landscape. Whether by large episodic, or smaller chronic, mass movements, our mountains, hills, valleys, rivers, and streams bear evidence of change from landslides. Combined with anthropogenic factors, especially the development and settlement of unstable terrain, landslides (as natural processes) have become natural disasters. This book charts our understanding of landslide processes, prediction methods, and related land use issues. How and where do landslides initiate? What are the human and economic consequences? What hazard assessment and prediction methods are available, and how well do they work? How does land use, from timber harvesting and road building to urban and industrial development, affect landslide distribution in time and space? And what is the effect of land use and climate change on landslides? This book responds to such questions with: • Synopses of how various land uses and management activities influence landslide behavior • Analyses of earth surface processes that affect landslide frequency and extent • Examples of prediction techniques and methods of landslide hazard assessment, including scales of application • Discussion of landslide types and related costs and damages Those who study landslides, and those who deal with landslides, from onset to after-effects—including researchers, engineers, land managers, educators, students, and policy makers—will find this work a benchmark reference, now and for years to come.

Landslides

Author : Yuanzhi Zhang,Qiuming Cheng
Publisher : BoD – Books on Demand
Page : 266 pages
File Size : 41,5 Mb
Release : 2022-09-28
Category : Science
ISBN : 9781839690235

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Landslides by Yuanzhi Zhang,Qiuming Cheng Pdf

In recent years, landslides and their impacts have drawn increasing awareness globally, regionally, and locally. Landslides as catastrophic events can cause human injury, loss of life, and economic devastation as well as destroy infrastructures and cultural and natural heritage. New technologies, including interferometric synthetic aperture radar (InSAR) and geographic information systems (GIS), are being thoroughly adopted and applied to dynamic and process monitoring and modelling of coal mine and marine landslides, land subsidence, and tsunami landslides. These technologies are also being used for hazard mapping and assessment, early warning and evacuation, and regional or local landslide mitigation. This book discusses these topics and more.

Geographic Information Systems for Geoscientists

Author : Graeme F. Bonham-Carter
Publisher : Elsevier
Page : 417 pages
File Size : 43,6 Mb
Release : 2014-05-18
Category : Travel
ISBN : 9781483144948

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Geographic Information Systems for Geoscientists by Graeme F. Bonham-Carter Pdf

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 Hazard and Risk

Author : Thomas Glade,Malcolm G. Anderson,Michael J. Crozier
Publisher : John Wiley & Sons
Page : 824 pages
File Size : 40,8 Mb
Release : 2006-01-04
Category : Science
ISBN : 9780470012642

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Landslide Hazard and Risk by Thomas Glade,Malcolm G. Anderson,Michael J. Crozier Pdf

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.

Applied Geomorphology and Contemporary Issues

Author : Sujit Mandal,Ramkrishna Maiti,Michael Nones,Heinz R. Beckedahl
Publisher : Springer Nature
Page : 703 pages
File Size : 51,9 Mb
Release : 2022-09-03
Category : Science
ISBN : 9783031045325

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Applied Geomorphology and Contemporary Issues by Sujit Mandal,Ramkrishna Maiti,Michael Nones,Heinz R. Beckedahl Pdf

The edited book deals with climate change and its response to river system which is one of the most burning issues of the Global environment. Due to urbanization and industrialization land degradation and resource depletion are happening and promoting livelihood challenges in the world which is reflected in the book too. The book addresses the construction of dams over large rivers and its possible consequences in the environment. Changes of the hydrology and sedimentology are to be addressed in the book. The climate change phenomena and associated geomorphic hazards and contemporary environmental issues such as sea level rise, coastal flood, drought, wind erosion, flood, soil erosion, landslide, depletion of ground water, coastal erosion etc. are elaborated in the book with suitable methods and techniques. So this edited book will contribute a lot to general to particular filed of studies and will help to geographers, geomorphologists, environmentalists, planners, policy makers and developers for studies and promoting regional plans and development.

Laser Scanning Applications in Landslide Assessment

Author : Biswajeet Pradhan
Publisher : Springer
Page : 359 pages
File Size : 53,8 Mb
Release : 2017-05-04
Category : Technology & Engineering
ISBN : 9783319553429

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Laser Scanning Applications in Landslide Assessment by Biswajeet Pradhan Pdf

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.

Landslide Databases as Tools for Integrated Assessment of Landslide Risk

Author : Martin Klose
Publisher : Springer
Page : 156 pages
File Size : 41,9 Mb
Release : 2015-06-24
Category : Nature
ISBN : 9783319204031

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Landslide Databases as Tools for Integrated Assessment of Landslide Risk by Martin Klose Pdf

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.

GIS Landslide

Author : Hiromitsu Yamagishi,Netra Prakash Bhandary
Publisher : Springer
Page : 230 pages
File Size : 51,9 Mb
Release : 2017-05-16
Category : Science
ISBN : 9784431543916

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GIS Landslide by Hiromitsu Yamagishi,Netra Prakash Bhandary Pdf

This book presents landslide studies using the geographic information system (GIS), which includes not only the science of GIS and remote sensing, but also technical innovations, such as detailed light detection and ranging profiles, among others. To date most of the research on landslides has been found in journals on topography, geology, geo-technology, landslides, and GIS, and is limited to specific scientific aspects. Although journal articles on GIS using landslide studies are abundant, there are very few books on this topic. This book is designed to fill that gap and show how the latest GIS technology can contribute in terms of landslide studies. In a related development, the GIS Landslide Workshop was established in Japan 7 years ago in order to communicate and solve the scientific as well as technical problems of GIS analyses, such as how to use GIS software and its functions. The workshop has significantly contributed to progress in the field. Included among the chapters of this book are GIS using susceptibility mapping, analyses of deep-seated and shallow landslides, measuring and visualization of landslide distribution in relation to topography, geological facies and structures, rivers, land use, and infrastructures such as roads and streets. Filled with photographs, figures, and tables, this book is of great value to researchers in the fields of geography, geology, seismology, environment, remote sensing, and atmospheric research, as well as to students in these fields.

Geophysical, Climatological and Anthropogenic Hazards and Disaster: Vulnerability, Risk Assessment, and Sustainability

Author : Shankar Karuppannan,Sandipan Das,Suresh Kumar,Uday Chatterjee
Publisher : Frontiers Media SA
Page : 180 pages
File Size : 43,7 Mb
Release : 2024-02-12
Category : Science
ISBN : 9782832544648

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Geophysical, Climatological and Anthropogenic Hazards and Disaster: Vulnerability, Risk Assessment, and Sustainability by Shankar Karuppannan,Sandipan Das,Suresh Kumar,Uday Chatterjee Pdf

Nowadays, the whole world faces frequent natural and anthropogenic hazards-from drought to flood to deforestation which impends a large number of people into catastrophic destruction and damage. Since natural hazards cannot be eliminated, quantifying these events and creating reliable forecasts can alleviate their detrimental effects which can help build a more resilient and safe society. This Research Topic will comply with the available knowledge of the multi-hazards in response to monitoring and management and intends to fulfil the gap between science, policy and the community concerned. It also focuses on the use of precision techniques, remote sensing, and GIS technologies for the quantification of various natural and environmental hazards along with the capacity and sustainable mitigation strategies for resilient societies.