Landslide susceptibility mapping using Geographic Information System (GIS) and remote sensing data in North Luwu, South Sulawesi Province
Citra Aulian Chalik (a), Sri Widodo(b*), Andi Fahdli Heriansyah (a), Muhammad Hardin Wakila (a), Nurliah Jafar (a), Sitti Ratmi Nurhawaisyah (a), Firdaus (a)

(a) Mining Engineering Department, Faculty of Industrial Technology, Universitas Muslim Indonesia 90231, Makassar
(b) Mining Engineering Department, Faculty of Engineering, Hasanuddin University 90245, Indonesia
*srwd007[at]yahoo.com

Abstract

Climate, topography, and rock conditions in Indonesia are relatively diverse, both physical and chemical, these conditions can cause adverse consequences such as floods, landslides, forest fires and droughts. The Information from Volcanology and Geological Disaster Mitigation on Monday July 13, 2020, flash floods and flow of debris due to landslides were occurred in Masamba and Baebunta, North Luwu, South Sulawesi Province. The purpose of this paper is to map the distribution of landslide susceptibility area using remote sensing and GIS data. The Method used to analyze the landslide susceptibility estimation model refers to the Center for Research and Development of Agricultural Land Resources (BBSDLP). The parameters used in this model are rainfall, soil type, rock type, slope, land use, and land movement. The BBSDLP Landslide Susceptibility Estimation Model in study area shown that there are three classes of landslide susceptibility, such as low, medium, and high susceptibilities. There are six subdistricts which are in medium to high landslide susceptibility, and the others are low to medium landslide susceptibility. The locations of landslides and flash floods that occurred in Masamba and Baebunta indicate areas with medium to high landslide susceptibility.

Keywords: Landslide, Remote Sensing, GIS

Topic: Landfill