Geoinformatics and Modelling of Landslide Susceptibility and Risk
An RS & GIS-based Model Building Approach in the Eastern Himalaya
(Sprache: Englisch)
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...
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Klappentext zu „Geoinformatics and Modelling of Landslide Susceptibility and Risk “
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.
Inhaltsverzeichnis zu „Geoinformatics and Modelling of Landslide Susceptibility and Risk “
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.Bibliographische Angaben
- Autoren: Sujit Mandal , Subrata Mondal
- 2019, 1st ed. 2019, XIII, 223 Seiten, Masse: 16 x 24,1 cm, Gebunden, Englisch
- Verlag: Springer, Berlin
- ISBN-10: 303010494X
- ISBN-13: 9783030104948
- Erscheinungsdatum: 11.06.2019
Sprache:
Englisch
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