Remote Sensing Analysis of Lineaments using Multidirectional Shaded Relief from Digital Elevation Model (DEM) in Olele Area, Gorontalo

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A.G. Abduh, F.C.A. Usman, W.M. Tampoy, I.N. Manyoe

2021 Journal of Physics: Conference Series Vol. 1783 Issue 1 Conference paper Cited by 10 SDG 13 Quartile

Abstract

The Gorontalo fault zone is an active fault that crosses Gorontalo Province with a movement of about 11 mm/year. The existence of this fault zone affects the morphological lineaments and offsets along its path and increases the potential of geological disaster hazards. The Olele area is located in the Gorontalo fault zone that makes it potential to landslide disaster. This study aims to analyze the lineaments of the Olele area and its surroundings. The results of this analysis will help to determine the geological structures distribution pattern that develops in the study area and its impact on the mitigation of landslide disasters in the study area. This study uses a spatial analysis method using Digital Elevation Model (DEM) image to analyze slope and lineaments data in the study area. The results of the analysis will be correlated with regional geological structures and give recommendations for geological disaster mitigation that can be implemented. The results showed that the slope class in the study area was dominated by the range of 16-35° and even in several places with a slope of 35-55°. The results of the extraction and processing of lineaments data get 203 data. The lineaments direction is relatively NNW - SSE. This direction indicates that mostly the morphologies are influenced by the existence of the Gorontalo fault zone. The existence of the Gorontalo fault zone makes this area prone to landslide disasters in the case of Gorontalo fault movement. Some prevention recommendations are to increase the slope stability level. © Published under licence by IOP Publishing Ltd.

Affiliations

Geological Engineering, Universitas Negeri Gorontalo, B.J. Habibie Street, Bone Bolango Regency, 96119, Indonesia; Aquatic Resources and Management, Universitas Negeri Gorontalo, Jend. Sudirman Street, Gorontalo City, 96128, Indonesia

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