Generating a digital elevation model using unmanned aerial system for a deep seated rotational landslide on forest cover and vegetation

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dc.authoridErenoğlu, Ramazan Cüneyt / 0000-0002-8212-8379
dc.contributor.authorErenoğlu, Ramazan Cüneyt
dc.date.accessioned2025-01-27T21:21:32Z
dc.date.available2025-01-27T21:21:32Z
dc.date.issued2016
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractLandslides have some effects on the Earth's natural environment. A landslide may change the forest and vegetation borders by releasing downward sediments, forest cover and vegetation. Moreover the diversity of life living in these border areas is adversely affected because of this boundary changing. In addition to the mass movement, heavy rainfall and seismic activity have the important roles to trigger probable landslides prone areas which are to take action. The generation of the current digital elevation model (DEM) is very important immediately after the landslides in order to determine movement direction, character and impacts of the landslide. High resolution DEMs are increasingly generated from photographs acquired with consumer cameras from the unmanned aerial systems (UASs). In this study, we generate DEM reflecting the most current topography of the landslide area on the forestry area, to compare of DEMs from different flight dates and finally with the RTK-GNSS surveys at the landslide borders. In the Biga Peninsula-Turkey, the vegatation is inherently affected by each gravitational mass movement that is one of the major problems endangering the forests. The results showed that the UAS-based DEM generation is higher-accurate in centimeter level, more efficient, faster and lower cost technique with respect to the terrestrial surveys. As a final result, this procedure could be used as a tool for quick determination of vegetation and forestry border changes in landslide areas.
dc.description.sponsorshipTUBITAK (The Scientific and Technological Research Council of Turkey) [112Y336]
dc.description.sponsorshipThe author is very grateful to the editor and two anonymous reviewers for their constructive and critical comments which improved the earlier draft significantly. Furthermore, the author greatly appreciates Dr. Ozgun Akcay for field assistance during the aerial survey. Google Earth picture was used as Fig 3. This study is supported by TUBITAK (The Scientific and Technological Research Council of Turkey) with the project number 112Y336.
dc.identifier.endpage61
dc.identifier.issn0379-5292
dc.identifier.issn0375-524X
dc.identifier.issue1
dc.identifier.scopus2-s2.0-84973867497
dc.identifier.scopusqualityQ2
dc.identifier.startpage47
dc.identifier.urihttps://hdl.handle.net/20.500.12428/28984
dc.identifier.volume133
dc.identifier.wosWOS:000372296000003
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherOsterreichischer Agrarverlag
dc.relation.ispartofAustrian Journal of Forest Science
dc.relation.publicationcategoryinfo:eu-repo/semantics/openAccess
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WoS_20250125
dc.subjectLandslide
dc.subjectvegetation
dc.subjectforestry
dc.subjectUAS
dc.subjectdigital elevation model
dc.subjectRTK/GNSS
dc.titleGenerating a digital elevation model using unmanned aerial system for a deep seated rotational landslide on forest cover and vegetation
dc.typeArticle

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