A Comparison of Landslide Susceptibility Maps Produced by Weighted Linear Combination and Analytical Hierarchy Process Methods: A Case Study at Khao Phanom Bencha Watershed in Krabi Province



This study compared the abilities of the Weighted Linear Combination (WLC) and Analytical Hierarchy Process (AHP) methods in producing credible landslide susceptibility maps for the study area at Khao Phanom Bencha Watershed in Krabi Province, southern Thailand. A reference landslide inventory was established from identified landslide events appearing on 4 sources of high-resolution satellite imagery (THEOS, EO-1, Google Earth, and Bing Map). Ten crucial contributing factors were incorporated in the susceptibility analysis in both methods, i.e., elevation, slope gradient, slope aspect, slope curvature, Topographic Wetness Index (TWI), distance from drainage, distance from lineament, lithology, soil texture, and land use/land cover (LULC). All yielded susceptibility maps were assessed for their respective accuracies in predicting the referred landslide incidences (290 samples in total), based on 2 well-known methods: the Area-Under-Curve (AUC) and the Receiver Operating Characteristic (ROC) analysis. Average accuracies of the maps achieved by the WLC and AHP methods were found to be significantly high, at 85.81 and 82.42 %, respectively. These maps are useful for the preparation of effective strategic planning for the prevention and mitigation of landslide hazards in the area by responsible agencies and local authorities.


Landslide susceptibility map, Weighted Linear Combination (WLC), Analytical Hierarchy Process (AHP), Area-Under-Curve (AUC), Receiver Operating Characteristic (ROC)

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