Landslide susceptibility analysis using an artificial neural network model

Shattri Mansor; Biswajeet Pradhan; Mohamed Daud; Normalina Jamaludin; Zailani Khuzaimah

doi:10.1117/12.738462

29 October 2007 Landslide susceptibility analysis using an artificial neural network model

Shattri Mansor, Biswajeet Pradhan, Mohamed Daud, Normalina Jamaludin, Zailani Khuzaimah

Proceedings Volume 6749, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VII; 67490J (2007) https://doi.org/10.1117/12.738462
Event: SPIE Remote Sensing, 2007, Florence, Italy

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.

Citation Download Citation

Shattri Mansor, Biswajeet Pradhan, Mohamed Daud, Normalina Jamaludin, and Zailani Khuzaimah "Landslide susceptibility analysis using an artificial neural network model", Proc. SPIE 6749, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VII, 67490J (29 October 2007); https://doi.org/10.1117/12.738462

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