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(Article of periodic en Anglais - 2006)

Document title

A landslide susceptibility model using the analytical hierarchy process method and multivariate statistics in perialpine Slovenia

Authors(s) and Affiliation(s)

KOMAC M. ;

Abstract

For the purpose of landslide susceptibility assessment the study area in the central Slovenia was divided to 78 365 slope units for which 24 statistical variables were calculated. For the land-use and vegetation data, multi-spectral high-resolution images were merged using Principal Component Analysis method and classified with an unsupervised classification. Using multivariate statistical analysis (factor analysis), the interaction between factors and landslide distribution were tested, and the importance of individual factors for landslide occurrence was defined. The results show that the slope, the lithology, the terrain roughness, and the cover type play important roles in landslide susceptibility

Source

Article of periodic

published at : Geomorphology / ISSN 0169-555X

Editor : Elsevier, Amsterdam - PAYS-BAS (1987)

Millesime : 2006, vol. 74, no1-4 [pp. 17-28]

Bibliographic references : 29 ref.

Collation : Illustration ;

Language

Anglais

INIST-CNRS, Cote INIST : 21151

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2007.
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