Application of modified Segment Tracing Algorithm (mSTA) Method to Identify Landslide Susceptibility Zones Around Mt. Sinabung, Indonesia

Abstract

Abstract Lineament could present the fractured zones and increase the landslides occurrence probabilities. This study aims to assess landslides susceptibility zones based on recorded landslide events corresponded to the detected lineaments around Mt. Sinabung, Indonesia. In this study, we use Synthetic Aperture Radar (SAR) data to increase the extraction accuracy of fracture-related lineament at Mt. Sinabung. The lineament densities were calculated to identify the landslide susceptibility zones including frequency, length, and intersection using modified Segment Tracing Algorithm (mSTA) method for area about 10.9 × 9 km. Based on visual observations and technical report, a total of 61 landslides were occurred around Mt. Sinabung from 2016, 2018, and 2021. An Ordinary Kriging density map of the lineament frequency using 800 × 800 m cells showed agreement between the lineament density and landslide distribution. Comparing landslide location and lineament density, landslide occurrences were located mainly at high and moderate lineament densities. We have classified the landslide density for three years into low, moderate, and high based on histogram quartile analyses. This classification could be used to mitigate the landslide hazard in a large area.