Landslide Susceptibility Assessment in Mojokerto Regency Using Logistic Regression
Abstract
The impact of landslides varies from place to place, including cutting off transportation routes, destroying agricultural land, and/or destroying houses. Due to the high threat of landslides, it is necessary to make efforts to improve community preparedness by disseminating information about landslide distribution. In this research, landslide assessment was conducted using logistic regression. Twelve landslide factors were assessed including topographic position index, stream power index, slope, aspect, elevation, profile curvature, distance to drainage, soil, rainfall, land use, and distance to road. The assessment of the landslide susceptibility level in this study was highly accurate, based on the AUC value obtained, which was 0.92. The results of the assessment of the landslide susceptibility level were divided into five classes with the following areas: very low 36%, low 4.4%, moderate 2.91%, high 4.1% and very high 52.5%.
Keywords: scientific, approach, methodological, techniques, geography
References
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