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Proceedings Paper

Landslide susceptibility analysis using an artificial neural network model
Author(s): Shattri Mansor; Biswajeet Pradhan; Mohamed Daud; Normalina Jamaludin; Zailani Khuzaimah
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Paper Abstract

This paper deals with landslide susceptibility analysis using an artificial neural network model for Cameron Highland, Malaysia. Landslide locations were identified in the study area from interpretation of aerial photographs and field surveys. Topographical/geological data and satellite images were collected and processed using GIS and image processing tools. There are ten landslide inducing parameters which are considered for the landslide hazards. These parameters are topographic slope, aspect, curvature and distance from drainage, all derived from the topographic database; geology and distance from lineament, derived from the geologic database; landuse from Landsat satellite images; soil from the soil database; precipitation amount, derived from the rainfall database; and the vegetation index value from SPOT satellite images. Landslide hazard was analyzed using landslide occurrence factors employing the logistic regression model. The results of the analysis were verified using the landslide location data and compared with logistic regression model. The accuracy of hazard map observed was 85.73%. The qualitative landslide susceptibility analysis was carried out using an artificial neural network model by doing map overlay analysis in GIS environment. This information could be used to estimate the risk to population, property and existing infrastructure like transportation network.

Paper Details

Date Published: 29 October 2007
PDF: 7 pages
Proc. SPIE 6749, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VII, 67490J (29 October 2007); doi: 10.1117/12.738462
Show Author Affiliations
Shattri Mansor, Univ. Putra Malaysia (Malaysia)
Biswajeet Pradhan, Univ. Putra Malaysia (Malaysia)
Mohamed Daud, Univ. Putra Malaysia (Malaysia)
Normalina Jamaludin, Univ. Putra Malaysia (Malaysia)
Zailani Khuzaimah, Univ. Putra Malaysia (Malaysia)

Published in SPIE Proceedings Vol. 6749:
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VII
Manfred Ehlers; Ulrich Michel, Editor(s)

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