Geoinformatics and Modelling of Landslide Susceptibility and Risk: An RS & GIS-based Model Building Approach in the Eastern Himalaya (Environmental Science and Engineering) - Hardcover

Buch 113 von 127: Environmental Science and Engineering

Mandal, Sujit; Mondal, Subrata

 
9783030104948: Geoinformatics and Modelling of Landslide Susceptibility and Risk: An RS & GIS-based Model Building Approach in the Eastern Himalaya (Environmental Science and Engineering)
Hardcover
ISBN 10: 303010494X ISBN 13: 9783030104948
Verlag: Springer, 2019

Inhaltsangabe

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. 

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Von der hinteren Coverseite

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. 

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Springer
Erscheinungsdatum
2019
Sprache
Englisch
ISBN 10 
303010494X
ISBN 13 
9783030104948
Einband
Gebundene Ausgabe
Auflage
1
Anzahl der Seiten
236
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