Publication details

Information Value Model based Landslide Susceptibility Mapping at Phuentsholing, Bhutan



Year of publication 2018
Type Article in Proceedings
Conference Association of Geographic Information Laboratories in Europe (AGILE) 2018
MU Faculty or unit

Faculty of Science

Keywords Landslide susceptibility map, Information value model, Geographic information system, Area under curve.
Attached files
Description In the current study, statistical method of information value and geographic information system (GIS) were applied to develop Landslide Susceptibility Map (LSM) of Phuentsholing region, Bhutan. A total of 161 landslides, covering an area of 2.92 square kilometres were identified and 20% was randomly extracted for validation. Various factors causing landslide such as slope, aspect, elevation, proximity to road, drainage and fault, lithology, land use and normalised difference vegetation index (NDVI) were analysed to determine the contribution of each factors to the occurrence of a landslide. To evaluate the performance of the information value model in determining the LSM, overlay method and the Area under curve (AUC) of the receiver operating characteristic (ROC) were performed on the training and validation samples. The region was categorised mostly under high and moderate susceptibility, with land use, vegetation and elevation identified as most important contributing factors to landslide occurrences. The model has an AUC accuracy of 83.4% success rate and 83.5% prediction rate, with 77.5% of the validation samples lies under very high and high landslide susceptibility area when overlaid on the LSM

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