Close-Range Photogrammetry for Non-intrusive Prediction of Geohazards : Landslides

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorNategh, Mehrdad
dc.contributor.authorIravanian, Anoosheh
dc.contributor.authorEkinci, Abdullah
dc.contributor.departmentDepartment of Civil Engineeringen
dc.contributor.editorCetin, Kemal Onder
dc.contributor.editorEkinci, Abdullah
dc.contributor.editorUygar, Eris
dc.contributor.editorLangroudi, Arya Assadi
dc.contributor.groupauthorMineral Based Materials and Mechanicsen
dc.contributor.organizationNear East University
dc.contributor.organizationMiddle East Technical University
dc.date.accessioned2025-03-04T21:02:04Z
dc.date.available2025-03-04T21:02:04Z
dc.date.embargoinfo:eu-repo/date/embargoEnd/2025-02-02
dc.date.issued2024
dc.descriptionPublisher Copyright: © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.
dc.description.abstractIn recent years, the number of monitoring techniques developed for management of natural and engineered ground systems such as slopes, embankments, and retaining walls has significantly in-creased. The current study examines a slope stability problem near Kyrenia Castle, a 7th century castle located in Northern Cyprus. The landslide and accompanying reinforced concrete/stone walls, constructed for rehabilitation purposes, are monitored for a period of two years. The current condition of the site is back-analysed using the finite element method (FEM) as a conventional analysis. To detect changes over time, close-range photogrammetry (CRP) is employed using photographs taken with an unmanned aerial vehicle (UAV) to generate a dense cloud model. The results demonstrate the compatibility of the CRP with FEM, making the technique a viable and efficient option for various engineered and natural ground systems. CRP is proved fast, cost-effective, sustainable, and non-destructive.en
dc.description.versionPeer revieweden
dc.format.extent10
dc.format.mimetypeapplication/pdf
dc.identifier.citationNategh, M, Iravanian, A & Ekinci, A 2024, Close-Range Photogrammetry for Non-intrusive Prediction of Geohazards : Landslides. in K O Cetin, A Ekinci, E Uygar & A A Langroudi (eds), Proceedings of ISSMGE TC101—Advanced Laboratory Testing and Nature Inspired Solutions in Engineering (NISE) Joint Symposium - Advanced Laboratory Testing on Liquefiable Soils and Nature Inspired Solutions for Soil Improvement. Springer Series in Geomechanics and Geoengineering, Springer, pp. 100-109, International Workshop on Advances in Laboratory Testing of Liquefiable Soils and Nature Inspired Solutions for the Built Environment Conference, Kyrenia, Cyprus, 17/09/2022. https://doi.org/10.1007/978-3-031-51951-2_9en
dc.identifier.doi10.1007/978-3-031-51951-2_9
dc.identifier.isbn978-3-031-51950-5
dc.identifier.isbn978-3-031-51951-2
dc.identifier.issn1866-8755
dc.identifier.issn1866-8763
dc.identifier.otherPURE UUID: 465604f8-7d1b-4b90-ba2b-10f986c812a9
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/465604f8-7d1b-4b90-ba2b-10f986c812a9
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/175627863/ENG_Nategh_et_al_Close-Range_Photogrammetry_for_Non-intrusive_Prediction_of_Geohazards_Procreedinggs_of_ISSMGE_TC101.pdf
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/134417
dc.identifier.urnURN:NBN:fi:aalto-202503042676
dc.language.isoenen
dc.relation.ispartofInternational Workshop on Advances in Laboratory Testing of Liquefiable Soils and Nature Inspired Solutions for the Built Environment Conferenceen
dc.relation.ispartofseriesProceedings of ISSMGE TC101—Advanced Laboratory Testing and Nature Inspired Solutions in Engineering (NISE) Joint Symposium - Advanced Laboratory Testing on Liquefiable Soils and Nature Inspired Solutions for Soil Improvementen
dc.relation.ispartofseriespp. 100-109en
dc.relation.ispartofseriesSpringer Series in Geomechanics and Geoengineeringen
dc.rightsopenAccessen
dc.subject.keywordClose range photogrammetry (CRP)
dc.subject.keywordFEM
dc.subject.keywordMonitoring
dc.subject.keywordRetaining wall
dc.subject.keywordUnmanned aerial vehicle (UAV)
dc.titleClose-Range Photogrammetry for Non-intrusive Prediction of Geohazards : Landslidesen
dc.typeA4 Artikkeli konferenssijulkaisussafi
dc.type.versionacceptedVersion

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
ENG_Nategh_et_al_Close-Range_Photogrammetry_for_Non-intrusive_Prediction_of_Geohazards_Procreedinggs_of_ISSMGE_TC101.pdf
Size:
1.1 MB
Format:
Adobe Portable Document Format