Using high resolution images and elevation data in classifying erosion risks of bare soil areas in the Hatila Valley Natural Protected Area, Turkey

Basit Öğe Kaydı
dc.contributor.authorEroğlu, Habip
dc.contributor.authorÇakır, Günay
dc.contributor.authorSivrikaya, Fatih
dc.contributor.authorAkay, Abdullah E.
dc.date.accessioned2020-04-30T23:46:52Z
dc.date.available2020-04-30T23:46:52Z
dc.date.issued2010
dc.departmentDÜ, Orman Fakültesi, Orman Mühendisliği Bölümüen_US
dc.descriptionSivrikaya, Fatih/0000-0003-0860-6747; Cakir, Gunay/0000-0003-4951-4283; Akay, Abdullah Emin/0000-0001-6558-9029en_US
dc.descriptionWOS: 000276439000015en_US
dc.description.abstractSoil erosion is one of the most important environmental problems. In the case of small scale areas where soil properties and climate have relatively uniform characteristics, vegetation cover and topography (i.e. ground slope) are the main factors that affect the amount of soil erosion. Lack of vegetation cover on bare soil areas, including forest road side slopes, especially in mountainous regions with steep slopes, may significantly increase the erosion rate. Determining and classifying erosion risks in such areas can help preventing environmental impacts. In this study, remotely sensed data and elevation data were used to extract and classify bare soil erosion risk areas for a study area selected from Hatila Valley Natural Protected Area in northeastern Turkey. High resolution IKONOS imagery was used to apply land use classification in ER-DAS Imagine 9.0. To generate erosion risk map of the bare soil areas, classified image was superimposed on top of slope map, generated based on a Digital Elevation Model (DEM) in ArcGIS 9.2. The results indicated that 1.43, 5.85, 34.62, 53.16, and 4.94% of the bare soil areas in the study area were under very low, low, medium, high, and very high erosion risks, respectively. The overall classification accuracy of 82.5% indicated the potential of the proposed methodology.en_US
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [106O054]en_US
dc.description.sponsorshipThis study is funded by The Scientific and Technological Research Council of Turkey (TUBITAK) with the project number 106O054.en_US
dc.identifier.doi10.1007/s00477-009-0356-5en_US
dc.identifier.endpage704en_US
dc.identifier.issn1436-3240
dc.identifier.issue5en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage699en_US
dc.identifier.urihttps://doi.org/10.1007/s00477-009-0356-5
dc.identifier.urihttps://hdl.handle.net/20.500.12684/5331
dc.identifier.volume24en_US
dc.identifier.wosWOS:000276439000015en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofStochastic Environmental Research And Risk Assessmenten_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBare soil erosionen_US
dc.subjectForest roaden_US
dc.subjectRisken_US
dc.subjectRemote sensingen_US
dc.subjectGISen_US
dc.subjectIKONOSen_US
dc.titleUsing high resolution images and elevation data in classifying erosion risks of bare soil areas in the Hatila Valley Natural Protected Area, Turkeyen_US
dc.typeArticleen_US

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