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

Auteur(s) et Affiliation(s)

POURGHASEMI, H.R.

Dep. of Watershed Management Engineering, College of Natural Resources and Marine Sciences, Tarbiat Modares Univ., Tehran, Iran, Republique Islamique d'

MOHAMMADY, M.

Dep. of Watershed Management Engineering, College of Natural Resources and Marine Sciences, Tarbiat Modares Univ., Tehran, Iran, Republique Islamique d'

PRADHAN, B.

Fac. of Engineering, Dep. of Civil Engineering, Spatial and Numerical Modeling Research Group, Univ., Putra, Malaisie

Description :
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.

Type de document :
Article de périodique

Source :
Catena (Giessen), issn : 0341-8162, 2012, vol. 97, p. 71-84, nombre de pages : 14, Références bibliographiques : 2 p.

Date :
2012

Editeur :
Pays édition : Allemagne, Cremlingen-Destedt, Catena

Langue :
Anglais