Landslide Susceptibility Assessment using Skyline Operator and Majority Voting

Year 2019, Volume: 23 Issue: 5, 782 - 787, 01.10.2019

Alev Mutlu , Furkan Goz , Kubra Koksal Arzu Erener

https://doi.org/10.16984/saufenbilder.479801

Cited By: 3

Abstract

Landslide susceptibility assessment is the problem of determining the likelihood of a landslide to occur in a particular area based on the geological and morphological properties of the area. In this study we propose a method wherein skyline operator is used to model landslides and majority voting is used to assess landslide susceptibility. Experiments conducted on a real life data set show that the proposed method achieves 83.07% classification accuracy and is superior over logistic regression, support vector machine and neural network based approaches and achieves similar results when compared to a decision trees-based model. 

Keywords

Landslide Susceptibility Assessment , Majority Voting , Skyline Operator

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