Landslide Susceptibility Assessment using Skyline Operator and Majority Voting

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Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi
Volume:23 Issue:5
Landslide Susceptibility Assessment using Skyline Operator and Majority Voting

Landslide Susceptibility Assessment using Skyline Operator and Majority Voting

Authors : Alev MUTLU, Furkan Goz, Kubra Koksal, Arzu ERENER

Pages : 782-787

Doi:10.16984/saufenbilder.479801

View : 48 | Download : 9

Publication Date : 2019-10-01

Article Type : Research Paper

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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