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This study aims to create landslide susceptibility map using the integration of Remote Sensing (RS) data, Geographical Information System (GIS), and Analytical Hierarchy Process (AHP) at Khao Yai National Park. The results were found that the most factor influenced to landslide activities was slope, followed by precipitation, distance from road, elevation, distance from drainage, lithology, aspect, curvature and Topographic Wetness Index (TWI) respectively. With the consideration of these influenced factors, the susceptibility landslide area was classed into 5 classes as very high (0.31 km2), high (15.23 km2), moderate (218.36 km2), low (1,681.07 km2) and lowest (269.89 km2) respectively with the overall accuracy of 85.37 % and Kappa coefficient of 0.71. This accuracy assessment revealed the level of landslide susceptibility map accuracy is useful for planning and decision-making in order to monitor and cope with landslide occurrence in the future at Khao Yai National Park.
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