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(Article of periodic en Anglais - 2012)

Document title

Landslide susceptibility mapping using index of entropy and conditional probability models in GIS : Safarood Basin, Iran

Authors(s) and Affiliation(s)

POURGHASEMI H.R. (1) ; MOHAMMADY M. (1) ; PRADHAN B. (2) ;
(1) Dep. of Watershed Management Engineering, College of Natural Resources and Marine Sciences, Tarbiat Modares Univ., Tehran, IRAN, REPUBLIQUE ISLAMIQUE D'
(2) Fac. of Engineering, Dep. of Civil Engineering, Spatial & Numerical Modeling Research Group, Univ., Putra, MALAISIE

Abstract

The aim of this study is to produce landslide susceptibility maps at Safarood basin, Iran, using 2 statistical models such as an index of entropy and conditional probability and to compare the obtained results. At the first stage, landslide locations were identified in the study area by interpretation of aerial photographs and from field investigations. The landslide conditioning factors such as slope degree, slope aspect, altitude, lithology, distance to faults, distance to rivers, distance to roads, topographic wetness index (TWI), stream power index (SPI), slope-length (LS), land use, and plan curvature were extracted from the spatial database. Using these factors, landslide susceptibility and weights of each factor were analyzed by index of entropy (IOE) and conditional probability (CP) models. Both the models have good predictive capacity but the IOE method performed slightly better than the CP model in landslide susceptibility mapping

Source

Article of periodic

published at : Catena / ISSN 0341-8162

Editor : Catena, Cremlingen-Destedt - ALLEMAGNE (1973)

Millesime : 2012, vol. 97 [pp. 71-84]

Bibliographic references : 2 p.

Collation : 12 fig., 3 tabl.

Language

Anglais

INIST-CNRS, Cote INIST : 16767

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1016/j.catena.2012.05.005

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2012
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