Landslide susceptibility mapping using Spatial Multi-Criteria Evaluation (SMCE) method in Camba Sub-district, Maros Regency, South Sulawesi

Abstract

This research presents the results of a landslide susceptibility mapping using Geographic Information Systems (GIS) based statistical namely Spatial Multi-Criteria Evaluation (SMCE) in Camba Sub-district, Maros Regency, South Sulawesi. Ten physical factors encompassed soil type, slope, slope aspect, rock type, altitude, land cover, distance from the river, rainfall, distance from faults, and distance from the road that collected from several sources and used to determined landslide susceptible areas. SMCE was applied to classify the degree of landslide susceptibility from low to very high classes. Validation using 30 points of landslide events obtained from field survey. The result showed an area with high and very high classes has an area 2079 ha (18,3 %) and 52,5 ha (0,46 %) distributed in the southern region. The results of validation using the R-index for very high and high classes is 55% and ROC shows that of 96.4%, for the P show method of 98%. This landslide mapping can be used for disaster mitigation and disaster preparedness planning purposes.

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Optimizing Tourism Development Through Landslide Hazard Mapping in Raung Volcano

“…Mapping aspects of susceptibility can be conducted in various methods, one of them by utilizing the Spatial Multi-Criteria Evaluation (SMCE). SMCE method was used because it has high accuracy and more efficient (Oktaviani et al, 2020), then validated using ROC to test credibility. Practically, ROC validation was used because it is a strong validation method to predict the accuracy of landslide susceptibility maps (Oktaviani et al, 2020).…”

“…SMCE method was used because it has high accuracy and more efficient (Oktaviani et al, 2020), then validated using ROC to test credibility. Practically, ROC validation was used because it is a strong validation method to predict the accuracy of landslide susceptibility maps (Oktaviani et al, 2020). This research is different from previous studies because it adopts the SMCE method which was first applied for tourism development in the Kalibaru watershed.…”