Geoinformatics and Modelling of Landslide Susceptibility and Risk An RS & GIS-based Model Building Approach in the Eastern Himalaya /

• Κύριοι συγγραφείς: Mandal, Sujit (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Mondal, Subrata (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Environmental Science,
• Θέματα: Physical geography.; Remote sensing.; Geomorphology.; Natural disasters.; Statistics .; Environmental geography.; Earth System Sciences.; Remote Sensing/Photogrammetry.; Natural Hazards.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.; Environmental Geography.
• Φυσική περιγραφή: XIII, 223 p. online resource.
• ISBN: 9783030104955
• ISSN: 1431-6250
• DOI: 10.1007/978-3-030-10495-5

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. .