rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Geoinformatics and Modelling of Landslide Susceptibility and Risk
    sub title: An RS & GIS-based Model Building Approach in the Eastern Himalaya
  name:
    name part: Mandal, Sujit.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Mondal, Subrata.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2019
    edition: 1st ed. 2019.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIII, 223 p. online resource.
  abstract: 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. .
  table of contents: Landslides: An Overview -- Geomorphic, Geo-tectonic and Hydrologic Attributes and Landslide Susceptibility -- Slope instability analysis: A Sub-Watershed Scale Study -- Geomorphic Diversity and Landslide Susceptibility: A Multi-Criteria Evaluation Approach -- Landslide Susceptibility Prediction and Assessment using Bivariate Models -- Multivariate Models and Prediction and Assessment of Landslide Susceptibility -- Application of Probabilistic Approach in Landslide Susceptibility Analysis -- Machine Learning Models in Landslides Susceptibility Assessment -- Factor and Factors' Cluster Analysis and Landslide Susceptibility Assessment -- Micro level Landslide Susceptibility and Risk Assessment -- Comparison between Susceptibility Models: A critical Review and Evaluation.
  note: by Sujit Mandal, Subrata Mondal.
  subject:
    topic: Physical geography
  subject:
    topic: Remote sensing
  subject:
    topic: Geomorphology
  subject:
    topic: Natural disasters
  subject:
    topic: Statistics
  subject:
    topic: Environmental geography
  subject:
    topic: Earth System Sciences
  subject:
    topic: Remote Sensing/Photogrammetry
  subject:
    topic: Geomorphology
  subject:
    topic: Natural Hazards
  subject:
    topic: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
  subject:
    topic: Environmental Geography
  classification: GB3-5030
  classification: 550
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Environmental Science
  identifier: 9783030104955
  identifier: https://doi.org/10.1007/978-3-030-10495-5
  record info:
    record creation date: 190528
    record change date: 20191022131155.0
    record identifier: 978-3-030-10495-5