Landslide Susceptibility Modeling PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Landslide Susceptibility Modeling PDF full book. Access full book title Landslide Susceptibility Modeling by Hiromitsu Yamagishi. Download full books in PDF and EPUB format.
Author: Hiromitsu Yamagishi
Publisher: Elsevier
ISBN: 9780128235058
Category : Science
Languages : en
Pages : 300
Get Book Here
Book Description
In Landslide Susceptibility Mapping Paradigm: A Practical Guide for Landslide Susceptibility and Hazard Assessments expert researchers detail how remote sensing and GIS are now being used in landslide susceptibility mapping. Landslides are a significant environmental problem in many countries. The destructive outcomes of landslides in relation to life and property are severe and much higher than any other natural disaster. Since the causes of landslides are obscure and are beyond human control, it is practically impossible to prevent landslides. The task before the researchers, planner and administrator, therefore lies with the identification of hazard-prone areas and their zonation in different scales for preparedness and mitigation. Each chapter in Landslide Susceptibility Mapping Paradigm describes a methodology that has been successfully used in the past and can therefore be applied for mapping landslide susceptibility. With the sample data provided along with the publication and several case study examples of different models of landslide susceptibility maps, researchers across the earth sciences as well as those working in hazard and disaster preparedness will have the tools to create susceptibility maps for specific locales. Address the key issues and challenges in landslide inventory mapping Features step-by-step guidelines in landslide susceptibility modeling, from traditional methods to advanced machine learning techniques Companion website includes data and codes used in the book as well as video tutorials
Author: Hiromitsu Yamagishi
Publisher: Elsevier
ISBN: 9780128235058
Category : Science
Languages : en
Pages : 300
Get Book Here
Book Description
In Landslide Susceptibility Mapping Paradigm: A Practical Guide for Landslide Susceptibility and Hazard Assessments expert researchers detail how remote sensing and GIS are now being used in landslide susceptibility mapping. Landslides are a significant environmental problem in many countries. The destructive outcomes of landslides in relation to life and property are severe and much higher than any other natural disaster. Since the causes of landslides are obscure and are beyond human control, it is practically impossible to prevent landslides. The task before the researchers, planner and administrator, therefore lies with the identification of hazard-prone areas and their zonation in different scales for preparedness and mitigation. Each chapter in Landslide Susceptibility Mapping Paradigm describes a methodology that has been successfully used in the past and can therefore be applied for mapping landslide susceptibility. With the sample data provided along with the publication and several case study examples of different models of landslide susceptibility maps, researchers across the earth sciences as well as those working in hazard and disaster preparedness will have the tools to create susceptibility maps for specific locales. Address the key issues and challenges in landslide inventory mapping Features step-by-step guidelines in landslide susceptibility modeling, from traditional methods to advanced machine learning techniques Companion website includes data and codes used in the book as well as video tutorials
Author: Sujit Mandal
Publisher: Springer
ISBN: 3030104958
Category : Science
Languages : en
Pages : 223
Get Book Here
Book Description
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.
Author: Matthew Tello
Publisher:
ISBN:
Category : Calibration
Languages : en
Pages : 79
Get Book Here
Book Description
Author: Hamid Reza Pourghasemi
Publisher: Elsevier
ISBN: 0128156953
Category : Mathematics
Languages : en
Pages : 798
Get Book Here
Book Description
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
Author: Biswajeet Pradhan
Publisher: Springer
ISBN: 3319553429
Category : Technology & Engineering
Languages : en
Pages : 363
Get Book Here
Book Description
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.
Author: Graeme F. Bonham-Carter
Publisher: Elsevier
ISBN: 1483144941
Category : Travel
Languages : en
Pages : 417
Get Book Here
Book Description
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.
Author: S.P. Pradhan
Publisher: Springer
ISBN: 3319773771
Category : Nature
Languages : en
Pages : 322
Get Book Here
Book Description
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.
Author: Alice Zheng
Publisher: "O'Reilly Media, Inc."
ISBN: 1491953195
Category : Computers
Languages : en
Pages : 218
Get Book Here
Book Description
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
Author: Hiromitsu Yamagishi
Publisher: Springer
ISBN: 4431543910
Category : Science
Languages : en
Pages : 223
Get Book Here
Book Description
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.
Author: Sujit Mandal
Publisher: Springer
ISBN: 3319938975
Category : Nature
Languages : en
Pages : 193
Get Book Here
Book Description
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.
