Soil Micromorphology for Modeling Spatial on Landslide Susceptibility Mapping
A Case Study in Kelara Subwatershed, Jeneponto Regency of South Sulawesi, Indonesia
Abstract:Most of the results of classifying the level of susceptibility show different results, where landslides are more common in areas with a relatively high to moderate susceptibility class compared to those with a high susceptibility class. Differences in methods result in differences in the susceptibility maps resulting from the parameters that cause the tested landslides. The Spatial Regression Model can precisely interpret the relationship between several landslide parameters and events and shows better data ac… Show more
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