LANDSLIDE ASSESSMENT USING GIS-BASED FREQUENCY RATIO METHOD: A CASE STUDY OF MAE PHUN SUB-DISTRICT, LAPLAE DISTRICT, UTTARADIT PROVINCE, THAILAND

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Research areas:
Year:
2017
Type of Publication:
Article
Keywords:
Remote Sensing, GIS, Statistical Model, Susceptibility Assessment, Rainfall, Accuracy Assessment
Authors:
Muhammad Farhan Ul Moazzam, J Boonyanup Anujit Vansarochana
Abstract:
Advancement in Remote Sensing technology and improvement in spectral and spatial resolution is increasing day by day. Moreover, coverage and availability of the products are becoming easier, so it is possible to monitor landslide susceptibility, damages and landslide inventory mapping using different satellite data. The principle factors that trigger mass movement (Landslide, Debris flow, Mudflow) are 1) Intense prolonged rainfall and Earthquake 2)Anthropogenic factor (construction on steep slopes, deforestation, urbanization, overloading, and mining activities). The landslide inventory maps’ made by SPOT 5 satellite image. This study utilized the causative factors i.e. Slope, Elevation, Aspect, Plan and Profile Curvature, Land use/Land cover, proximity to streams and proximity to the road, using geospatial software to make a landslide susceptibility map. The correlation between the landslide and thematic layers has been analyzed in GIS environment, so it calculates the frequency ratio score for each class of thematic layers. The summation of frequency ratio was calculated for each parameter and consequently get the landslide susceptibility indices. Eventually, the study area was divided into five classes landslide susceptibility classes ranges very low (8.93%), low (24.21%), moderate (28.91%), high (23.92), and very high (17.02%). The results were also validated using success rate curve method, so the prediction accuracy found to be 60% which are acceptable results.
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