Geoinformatics and modelling of landslide susceptibility and risk: : An RS & GIS-based model building approach in the Eastern Himalaya
By: Mandal, Sujit.
Contributor(s): Mondal, Subrata.
Series: Environmental science and engineering: environmental science. / edited by Ulrich Forstner.Publisher: Switzerland Springer 2019Description: xiii, 223p.ISBN: 9783030104948.Subject(s): Landslide hazard analysis | Geomorphology | Natural HazardsDDC classification: 551.307 | M312g Summary: 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.| Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|
Books
|
PK Kelkar Library, IIT Kanpur | General Stacks | 551.307 M312g (Browse shelf) | Available | A184870 |
Total holds: 0
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.
There are no comments for this item.