Landslide Susceptibility Assessment in Khao Yai National Park

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Published: Oct 11, 2022
Keywords:
Analytical hierarchical process (AHP) Geographic Information System (GIS) Satellite image Remote sensing Landslide

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Nakarin Chaikaew
School of Information and Communication Technology, University of Phatao
Nitin Kumar Tripathi
School of Engineering and Technology, Asian Institute of Technology
Chanakarn Wuthisakkarun
GIS Co., Ltd.
Siriruk Pimmasarn
Division of Research Administration, University of Phayao

Abstract

This study aims to create landslide susceptibility map using the integration of Remote Sensing (RS) data, Geographical Information Systems (GIS), and Analytical Hierarchy Process (AHP)atKhaoYai NationalPark.Theresults werefound that themost factor influencing 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 wasclassed into5classesasveryhigh(0.31km2 ),high(15.23km2 ), moderate(218.36km2 ), 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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How to Cite
[1]
N. Chaikaew, N. Kumar Tripathi, C. Wuthisakkarun, and S. Pimmasarn, “Landslide Susceptibility Assessment in Khao Yai National Park”, Def. Technol. Acad. J., vol. 4, no. 10, pp. 80–89, Oct. 2022.
Issue
Vol. 4 No. 10 (2022): July - December
Section
Research Articles
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