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.
| Autorius: | Subrata Mondal, Sujit Mandal, |
| Leidėjas: | Springer Nature Switzerland |
| Išleidimo metai: | 2019 |
| Knygos puslapių skaičius: | 240 |
| ISBN-10: | 303010494X |
| ISBN-13: | 9783030104948 |
| Formatas: | Knyga kietu viršeliu |
| Kalba: | Anglų |
| Žanras: | Geomorphology and geological surface processes |
Parašykite atsiliepimą apie „Geoinformatics and Modelling of Landslide Susceptibility and Risk: An RS & GIS-based Model Building Approach in the Eastern Himalaya“
