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dc.contributor.authorAkıncı, Halil
dc.contributor.authorKılıçoğlu, Cem
dc.contributor.authorDoğan, Sedat
dc.date.accessioned2020-11-02T11:24:24Z
dc.date.available2020-11-02T11:24:24Z
dc.date.issued2020en_US
dc.identifier.citationAkıncı, H., Kılıçoğlu, C., & Doğan, S. (2020). Random Forest-Based Landslide Susceptibility Mapping in Coastal Regions of Artvin, Turkey. ISPRS International Journal of Geo-Information, 9(9), 553.en_US
dc.identifier.urihttps://hdl.handle.net/11494/2396
dc.description.abstractNatural disasters such as landslides often occur in the Eastern Black Sea region of Turkey owing to its geological, topographical, and climatic characteristics. Landslide events occur nearly every year in the Arhavi, Hopa, and Kemalpa¸sa districts located on the Black Sea coast in the Artvin province. In this study, the landslide susceptibility map of the Arhavi, Hopa, and Kemalpa¸sa districts was produced using the random forest (RF) model, which is widely used in the literature and yields more accurate results compared with other machine learning techniques. A total of 10 landslide-conditioning factors were considered for the susceptibility analysis, i.e., lithology, land cover, slope, aspect, elevation, curvature, topographic wetness index, and distances from faults, drainage networks, and roads. Furthermore, 70% of the landslides on the landslide inventory map were used for training, and the remaining 30% were used for validation. The RF-based model was validated using the area under the receiver operating characteristic (ROC) curve. Evaluation results indicated that the success and prediction rates of the model were 98.3% and 97.7%, respectively. Moreover, it was determined that incorrect land-use decisions, such as transforming forest areas into tea and hazelnut cultivation areas, induce the occurrence of landslides.en_US
dc.description.sponsorshipFunding: This research was supported by the Scientific Research Projects Office of Artvin Çoruh University (AÇÜBAP) (Scientific Research Project No. 2016.F40.02.05).en_US
dc.language.isoengen_US
dc.publisherMDPI AGen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectLandslidesen_US
dc.subjectLandslide susceptibilityen_US
dc.subjectMachine learningen_US
dc.subjectRandom foresten_US
dc.subjectArtvinen_US
dc.titleRandom forest-based landslide susceptibility mapping in coastal regions of Artvin, Turkeyen_US
dc.typearticleen_US
dc.relation.journalISPRS International Journal of Geo-Informationen_US
dc.departmentAÇÜ, Mühendislik Fakültesien_US
dc.authorid0000-0002-9957-1692en_US
dc.authorid0000-0003-1905-9486en_US
dc.authorid0000-0002-3158-3734en_US
dc.identifier.volume9en_US
dc.identifier.issue9en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.3390/ijgi9090553en_US
dc.contributor.institutionauthorAkıncı, Halilen_US


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