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04037nam a2200589 4500 |
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|a 9783030104955
|9 978-3-030-10495-5
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|a 10.1007/978-3-030-10495-5
|2 doi
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|a 550
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|a Mandal, Sujit.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Geoinformatics and Modelling of Landslide Susceptibility and Risk
|h [electronic resource] :
|b An RS & GIS-based Model Building Approach in the Eastern Himalaya /
|c by Sujit Mandal, Subrata Mondal.
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|a 1st ed. 2019.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2019.
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|a XIII, 223 p.
|b online resource.
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|a text
|b txt
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|a computer
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|a online resource
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|a text file
|b PDF
|2 rda
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|a Environmental Science,
|x 1431-6250
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|a 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.
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|a 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. .
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|a Physical geography.
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|a Remote sensing.
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|a Geomorphology.
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|a Natural disasters.
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|a Statistics .
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|a Environmental geography.
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|a Earth System Sciences.
|0 http://scigraph.springernature.com/things/product-market-codes/G35000
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|a Remote Sensing/Photogrammetry.
|0 http://scigraph.springernature.com/things/product-market-codes/J13010
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|a Geomorphology.
|0 http://scigraph.springernature.com/things/product-market-codes/J16010
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650 |
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4 |
|a Natural Hazards.
|0 http://scigraph.springernature.com/things/product-market-codes/G32000
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650 |
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|a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
|0 http://scigraph.springernature.com/things/product-market-codes/S17020
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650 |
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|a Environmental Geography.
|0 http://scigraph.springernature.com/things/product-market-codes/J19010
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700 |
1 |
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|a Mondal, Subrata.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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710 |
2 |
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|a SpringerLink (Online service)
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773 |
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|t Springer eBooks
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776 |
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|i Printed edition:
|z 9783030104948
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776 |
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|i Printed edition:
|z 9783030104962
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830 |
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|a Environmental Science,
|x 1431-6250
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856 |
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|u https://doi.org/10.1007/978-3-030-10495-5
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-EES
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950 |
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|a Earth and Environmental Science (Springer-11646)
|