Optimization Of Landslide Susceptibility Modeling

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Laser Scanning Applications in Landslide Assessment

Author : Biswajeet Pradhan
Publisher : Springer
ISBN 13 : 3319553429
Total Pages : 363 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Laser Scanning Applications in Landslide Assessment by : Biswajeet Pradhan

Download or read book Laser Scanning Applications in Landslide Assessment written by Biswajeet Pradhan and published by Springer. This book was released on 2017-05-04 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Spatial Modeling in GIS and R for Earth and Environmental Sciences

Author : Hamid Reza Pourghasemi
Publisher : Elsevier
ISBN 13 : 0128156953
Total Pages : 800 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Spatial Modeling in GIS and R for Earth and Environmental Sciences by : Hamid Reza Pourghasemi

Download or read book Spatial Modeling in GIS and R for Earth and Environmental Sciences written by Hamid Reza Pourghasemi and published by Elsevier. This book was released on 2019-01-18 with total page 800 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spatial Modeling in GIS and R for Earth and Environmental Sciences offers an integrated approach to spatial modelling using both GIS and R. Given the importance of Geographical Information Systems and geostatistics across a variety of applications in Earth and Environmental Science, a clear link between GIS and open source software is essential for the study of spatial objects or phenomena that occur in the real world and facilitate problem-solving. Organized into clear sections on applications and using case studies, the book helps researchers to more quickly understand GIS data and formulate more complex conclusions. The book is the first reference to provide methods and applications for combining the use of R and GIS in modeling spatial processes. It is an essential tool for students and researchers in earth and environmental science, especially those looking to better utilize GIS and spatial modeling. - Offers a clear, interdisciplinary guide to serve researchers in a variety of fields, including hazards, land surveying, remote sensing, cartography, geophysics, geology, natural resources, environment and geography - Provides an overview, methods and case studies for each application - Expresses concepts and methods at an appropriate level for both students and new users to learn by example

Geographic Information Systems for Geoscientists

Author : Graeme F. Bonham-Carter
Publisher : Elsevier
ISBN 13 : 1483144941
Total Pages : 417 pages
Book Rating : 4.4/5 (831 download)

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Book Synopsis Geographic Information Systems for Geoscientists by : Graeme F. Bonham-Carter

Download or read book Geographic Information Systems for Geoscientists written by Graeme F. Bonham-Carter and published by Elsevier. This book was released on 2014-05-18 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Terrigenous Mass Movements

Author : Biswajeet Pradhan
Publisher : Springer Science & Business Media
ISBN 13 : 3642254950
Total Pages : 404 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Terrigenous Mass Movements by : Biswajeet Pradhan

Download or read book Terrigenous Mass Movements written by Biswajeet Pradhan and published by Springer Science & Business Media. This book was released on 2012-04-02 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: Terrestrial mass movements (i.e. cliff collapses, soil creeps, mudflows, landslides etc.) are severe forms of natural disasters mostly occurring in mountainous terrain, which is subjected to specific geological, geomorphological and climatological conditions, as well as to human activities. It is a challenging task to accurately define the position, type and activity of mass movements for the purpose of creating inventory records and potential vulnerability maps. Remote sensing techniques, in combination with Geographic Information System tools, allow state-of-the-art investigation of the degree of potential mass movements and modeling surface processes for hazard and risk mapping. Similarly, through statistical prediction models, future mass-movement-prone areas can be identified and damages can to a certain extent be minimized. Issues of scale and selection of morphological attributes for the scientific analysis of mass movements call for new developments in data modeling and spatio-temporal GIS analysis. The book is a product of a cooperation between the editors and several contributing authors, addressing current issues and recent developments in GI technology and mass movements research. Its fundamental treatment of this technology includes data modeling, topography, geology, geomorphology, remote sensing, artificial neural networks, binomial regression, fuzzy logic, spatial statistics and analysis, and scientific visualization. Both theoretical and practical issues are addressed.

Landslides: Theory, Practice and Modelling

Author : S.P. Pradhan
Publisher : Springer
ISBN 13 : 3319773771
Total Pages : 322 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Landslides: Theory, Practice and Modelling by : S.P. Pradhan

Download or read book Landslides: Theory, Practice and Modelling written by S.P. Pradhan and published by Springer. This book was released on 2018-06-28 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, with contributions from international landslide experts, presents in-depth knowledge of theories, practices, and modern numerical techniques for landslide analysis. Landslides are a reoccurring problem across the world and need to be properly studied for their mitigation and control. Due to increased natural and anthropogenic activities, chances of landslide occurrence and associated hazards have increased. The book focuses on landslide dynamics, mechanisms and processes along with hazard mitigation using geo-engineering, structural, geophysical and numerical tools. The book contains a wealth of the latest information on all aspects of theory, practices and modelling tools and techniques involved in prediction, prevention, monitoring, mitigation and risk analysis of landslide hazards. This book will bring the reader up to date on the latest trends in landslide studies and will help planners, engineers, scientists and researchers working on landslide engineering.

GIS Landslide

Author : Hiromitsu Yamagishi
Publisher : Springer
ISBN 13 : 4431543910
Total Pages : 223 pages
Book Rating : 4.4/5 (315 download)

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Book Synopsis GIS Landslide by : Hiromitsu Yamagishi

Download or read book GIS Landslide written by Hiromitsu Yamagishi and published by Springer. This book was released on 2017-05-16 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data Management, Analytics and Innovation

Author : Neha Sharma
Publisher : Springer Nature
ISBN 13 : 9811393648
Total Pages : 494 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Data Management, Analytics and Innovation by : Neha Sharma

Download or read book Data Management, Analytics and Innovation written by Neha Sharma and published by Springer Nature. This book was released on 2019-09-24 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.

Geographically Weighted Regression

Author : A. Stewart Fotheringham
Publisher : John Wiley & Sons
ISBN 13 : 0470855258
Total Pages : 282 pages
Book Rating : 4.4/5 (78 download)

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Book Synopsis Geographically Weighted Regression by : A. Stewart Fotheringham

Download or read book Geographically Weighted Regression written by A. Stewart Fotheringham and published by John Wiley & Sons. This book was released on 2003-02-21 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Geographical Weighted Regression (GWR) is a new local modelling technique for analysing spatial analysis. This technique allows local as opposed to global models of relationships to be measured and mapped. This is the first and only book on this technique, offering comprehensive coverage on this new 'hot' topic in spatial analysis. * Provides step-by-step examples of how to use the GWR model using data sets and examples on issues such as house price determinants, educational attainment levels and school performance statistics * Contains a broad discussion of and basic concepts on GWR through to ideas on statistical inference for GWR models * uniquely features accompanying author-written software that allows users to undertake sophisticated and complex forms of GWR within a user-friendly, Windows-based, front-end (see book for details).

Trends in Communication, Cloud, and Big Data

Author : Hiren Kumar Deva Sarma
Publisher : Springer Nature
ISBN 13 : 9811516243
Total Pages : 169 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Trends in Communication, Cloud, and Big Data by : Hiren Kumar Deva Sarma

Download or read book Trends in Communication, Cloud, and Big Data written by Hiren Kumar Deva Sarma and published by Springer Nature. This book was released on 2020-01-02 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the outcomes of the Third National Conference on Communication, Cloud and Big Data (CCB) held on November 2–3, 2018, at Sikkim Manipal Institute of Technology, Majitar, Sikkim. Featuring a number of papers from the conference, it explores various aspects of communication, computation, cloud, and big data, including routing in cognitive radio wireless sensor networks, big data security issues, routing in ad hoc networks, routing protocol for Internet of things (IoT), and algorithm for imaging quality enhancement.

Landslide Hazard and Risk

Author : Thomas Glade
Publisher : John Wiley & Sons
ISBN 13 : 0470012641
Total Pages : 824 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Landslide Hazard and Risk by : Thomas Glade

Download or read book Landslide Hazard and Risk written by Thomas Glade and published by John Wiley & Sons. This book was released on 2006-01-04 with total page 824 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Techniques for Disaster Risk Management and Mitigation

Author : Prashant K. Srivastava
Publisher : John Wiley & Sons
ISBN 13 : 111935918X
Total Pages : 372 pages
Book Rating : 4.1/5 (193 download)

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Book Synopsis Techniques for Disaster Risk Management and Mitigation by : Prashant K. Srivastava

Download or read book Techniques for Disaster Risk Management and Mitigation written by Prashant K. Srivastava and published by John Wiley & Sons. This book was released on 2020-05-27 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to managing and mitigating natural disasters Recent years have seen a surge in the number, frequency, and severity of natural disasters, with further increases expected as the climate continues to change. However, advanced computational and geospatial technologies have enabled the development of sophisticated early warning systems and techniques to predict, manage, and mitigate disasters.Techniques for Disaster Risk Management and Mitigation explores different approaches to forecasting disasters and provides guidance on mitigation and adaptation strategies. Volume highlights include: Review of current and emerging technologies for disaster prediction Different approaches to risk management and mitigation Strategies for implementing disaster plans and infrastructure improvements Guidance on integrating artificial intelligence with GIS and earth observation data Examination of the regional and global impacts of disasters under climate variability

Feature Engineering for Machine Learning

Author : Alice Zheng
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491953195
Total Pages : 218 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Feature Engineering for Machine Learning by : Alice Zheng

Download or read book Feature Engineering for Machine Learning written by Alice Zheng and published by "O'Reilly Media, Inc.". This book was released on 2018-03-23 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn techniques for extracting and transforming features—the numeric representations of raw data—into formats for machine-learning models. Each chapter guides you through a single data problem, such as how to represent text or image data. Together, these examples illustrate the main principles of feature engineering. Rather than simply teach these principles, authors Alice Zheng and Amanda Casari focus on practical application with exercises throughout the book. The closing chapter brings everything together by tackling a real-world, structured dataset with several feature-engineering techniques. Python packages including numpy, Pandas, Scikit-learn, and Matplotlib are used in code examples. You’ll examine: Feature engineering for numeric data: filtering, binning, scaling, log transforms, and power transforms Natural text techniques: bag-of-words, n-grams, and phrase detection Frequency-based filtering and feature scaling for eliminating uninformative features Encoding techniques of categorical variables, including feature hashing and bin-counting Model-based feature engineering with principal component analysis The concept of model stacking, using k-means as a featurization technique Image feature extraction with manual and deep-learning techniques

Landslides and Engineered Slopes. Experience, Theory and Practice

Author : Stefano Aversa
Publisher : CRC Press
ISBN 13 : 1498788076
Total Pages : 2160 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Landslides and Engineered Slopes. Experience, Theory and Practice by : Stefano Aversa

Download or read book Landslides and Engineered Slopes. Experience, Theory and Practice written by Stefano Aversa and published by CRC Press. This book was released on 2018-04-17 with total page 2160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Landslides and Engineered Slopes. Experience, Theory and Practice contains the invited lectures and all papers presented at the 12th International Symposium on Landslides, (Naples, Italy, 12-19 June 2016). The book aims to emphasize the relationship between landslides and other natural hazards. Hence, three of the main sessions focus on Volcanic-induced landslides, Earthquake-induced landslides and Weather-induced landslides respectively, while the fourth main session deals with Human-induced landslides. Some papers presented in a special session devoted to "Subareal and submarine landslide processes and hazard” and in a “Young Session” complete the books. Landslides and Engineered Slopes. Experience, Theory and Practice underlines the importance of the classic approach of modern science, which moves from experience to theory, as the basic instrument to study landslides. Experience is the key to understand the natural phenomena focusing on all the factors that play a major role. Theory is the instrument to manage the data provided by experience following a mathematical approach; this allows not only to clarify the nature and the deep causes of phenomena but mostly, to predict future and, if required, manage similar events. Practical benefits from the results of theory to protect people and man-made works. Landslides and Engineered Slopes. Experience, Theory and Practice is useful to scientists and practitioners working in the areas of rock and soil mechanics, geotechnical engineering, engineering geology and geology.

Applied Intelligent Decision Making in Machine Learning

Author : Himansu Das
Publisher : CRC Press
ISBN 13 : 1000208540
Total Pages : 263 pages
Book Rating : 4.0/5 (2 download)

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Book Synopsis Applied Intelligent Decision Making in Machine Learning by : Himansu Das

Download or read book Applied Intelligent Decision Making in Machine Learning written by Himansu Das and published by CRC Press. This book was released on 2020-11-18 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: The objective of this edited book is to share the outcomes from various research domains to develop efficient, adaptive, and intelligent models to handle the challenges related to decision making. It incorporates the advances in machine intelligent techniques such as data streaming, classification, clustering, pattern matching, feature selection, and deep learning in the decision-making process for several diversified applications such as agriculture, character recognition, landslide susceptibility, recommendation systems, forecasting air quality, healthcare, exchange rate prediction, and image dehazing. It also provides a premier interdisciplinary platform for scientists, researchers, practitioners, and educators to share their thoughts in the context of recent innovations, trends, developments, practical challenges, and advancements in the field of data mining, machine learning, soft computing, and decision science. It also focuses on the usefulness of applied intelligent techniques in the decision-making process in several aspects. To address these objectives, this edited book includes a dozen chapters contributed by authors from around the globe. The authors attempt to solve these complex problems using several intelligent machine-learning techniques. This allows researchers to understand the mechanism needed to harness the decision-making process using machine-learning techniques for their own respective endeavors.

Understanding and Reducing Landslide Disaster Risk

Author : Fausto Guzzetti
Publisher : Springer
ISBN 13 : 9783030602260
Total Pages : 0 pages
Book Rating : 4.6/5 (22 download)

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Book Synopsis Understanding and Reducing Landslide Disaster Risk by : Fausto Guzzetti

Download or read book Understanding and Reducing Landslide Disaster Risk written by Fausto Guzzetti and published by Springer. This book was released on 2020-12-23 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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: • Keynotes • Landslide detection, recognition and mapping • Landslide susceptibility assessment and modelling • Landslide size statistics and temporal modelling • Data and information for landslide disaster mitigation • Vulnerability to landslides of people, communities and the built environment Dr. Fausto Guzzetti is General Director of Office III – Technical and Scientific Activities for Risk Forecasting and Prevention, Department of Civil Protection, Italian Presidency of the Council of Ministers, on leave from the Italian National Research Council. Prof. Snježana Mihalić Arbanas is a Full Professor of the Faculty of Mining, Geology and Petroleum Engineering of the University of Zagreb, Croatia. She is the Chair of ICL Network Committee. Paola Reichenbach is a Senior Researcher of the Research Institute for Geo-Hydrological Protection, an institute of the Italian National Research Council (IRPI-CNR), Perugia, Italy. 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.

Hydrogeology, Chemical Weathering, and Soil Formation

Author : Allen Hunt
Publisher : John Wiley & Sons
ISBN 13 : 1119563968
Total Pages : 288 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Hydrogeology, Chemical Weathering, and Soil Formation by : Allen Hunt

Download or read book Hydrogeology, Chemical Weathering, and Soil Formation written by Allen Hunt and published by John Wiley & Sons. This book was released on 2021-04-06 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explores soil as a nexus for water, chemicals, and biologically coupled nutrient cycling Soil is a narrow but critically important zone on Earth's surface. It is the interface for water and carbon recycling from above and part of the cycling of sediment and rock from below. Hydrogeology, Chemical Weathering, and Soil Formation places chemical weathering and soil formation in its geological, climatological, biological and hydrological perspective. Volume highlights include: The evolution of soils over 3.25 billion years Basic processes contributing to soil formation How chemical weathering and soil formation relate to water and energy fluxes The role of pedogenesis in geomorphology Relationships between climate soils and biota Soils, aeolian deposits, and crusts as geologic dating tools Impacts of land-use change on soils The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals. Find out more about this book from this Q&A with the Editors

Nonlinear Estimation and Classification

Author : David D. Denison
Publisher : Springer Science & Business Media
ISBN 13 : 0387215794
Total Pages : 465 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Nonlinear Estimation and Classification by : David D. Denison

Download or read book Nonlinear Estimation and Classification written by David D. Denison and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: Researchers in many disciplines face the formidable task of analyzing massive amounts of high-dimensional and highly-structured data. This is due in part to recent advances in data collection and computing technologies. As a result, fundamental statistical research is being undertaken in a variety of different fields. Driven by the complexity of these new problems, and fueled by the explosion of available computer power, highly adaptive, non-linear procedures are now essential components of modern "data analysis," a term that we liberally interpret to include speech and pattern recognition, classification, data compression and signal processing. The development of new, flexible methods combines advances from many sources, including approximation theory, numerical analysis, machine learning, signal processing and statistics. The proposed workshop intends to bring together eminent experts from these fields in order to exchange ideas and forge directions for the future.