Application of modified Segment Tracing Algorithm (mSTA) Method to Identify Landslide Susceptibility Zones around Mt. Sinabung, Indonesia Zahratunnisa (a), Asep Saepuloh (a*), Estu Kriswati (b), Ahmad Basuki (c)
(a) Geological Engineering Study Program, Faculty of Earth Sciences and Technology, Bandung Institute of Technology, Indonesia
*saepuloh[at]itb.ac.id
(b) National Research and Innovation Agency, Jl. Sangkuriang, Coblong, Bandung, West Java, Indonesia.
(c) Center for Volcanology and Geological Hazard Mitigation (CVGHM), Geological Agency, Jl. Diponegoro No.57, Bandung, West Java, Indonesia.
Abstract
Lineament could represent the plane of weakness and increase the probability that a landslide will occur. This study aims to assess locations that are susceptible to landslides based on recorded landslide events and to examine whether lineaments have control over the instability at 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. Lineaments were extracted to produced three lineament structural densities i.e., frequency, length, and intersection by using modified Segment Tracing Algorithm (mSTA) method which coverage area of 10.9 x 9 km. Based on visual observations and technical report, a total of 61 landslides were occured at Mt. Sinabung from 2016, 2018 and 2021. An ordinary krigging map of the lineament frequency density using 800 x 800 m cells showed good agreement between the lineaments and landslide distribution. Comparison between landslides and lineament density maps showed that most landslides occurred in high and moderate lineament density areas. We made categorize of landslide density for each year which consists of three classes: low, moderate, and high. Thus, this categorization could be used to indicate areas that need better attention to minimize the recurrence of landslides in the same area in the future.
Keywords: Lineament, Landslides, SAR, mSTA, Landslide density
