Long-term retrospective investigation of a large, deep-seated, and slow-moving landslide using InSAR time series, historical aerial photographs, and UAV data: The case of Devrek landslide (NW Turkey)

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dc.authoridEKER, REMZI/0000-0002-9322-9634
dc.authorwosidEKER, REMZI/AAY-3790-2020
dc.contributor.authorEker, Remzi
dc.contributor.authorAydin, Abdurrahim
dc.date.accessioned2021-12-01T18:48:41Z
dc.date.available2021-12-01T18:48:41Z
dc.date.issued2021
dc.department[Belirlenecek]en_US
dc.description.abstractThis study presents a successful combination of different remote sensing data used in a long-term retrospective investigation of a large and destructive deep-seated, slow-moving landslide reactivated on 16 July 2015 in Devrek District (Zonguldak, Turkey). To this aim, Synthetic Aperture Radar (SAR) data were used for Interferometric SAR (InSAR) time-series analysis together with unmanned aerial vehicle (UAV) images and aerial photographs for digital photogrammetric analysis. The SAR dataset was divided into three sub-periods: 1) 1992-2001 for ERS-1 and ERS-2 satellites; 2) 2003-2010 for Envisat ASAR; and 3) 2014-2015 for Sentinel-1. Persistent Scatterers Interferometry (PSI) was applied for each sub-period. In total, 20 aerial photographs, dating from as early as 1944, were obtained, along with data from a UAV flight mission conducted on 23 June 2018. The historical aerial photographs revealed that the region has had a landslide problem since the 1940s. Between 1944 and 2018, a noticeable expansion of the settlement area towards the toe of the landslide was also observed. Aerial photographs (1984 and 2011) and UAV images (2018) were used to map landslide deformations using the M3C2 algorithm. Due to the high number of modelling errors, the 1984 and 2011 aerial photographs did not allow mapping of the landslide deformations. However, it was possible to determine them for the periods of 2011 and 2018. The M3C2 results between 2011 and 2018 were also compared to the PSI results, which were quite compatible with those obtained via photogrammetric methods. Moreover, two orthophotos belonging to 2011 and 2018 were used to reveal the horizontal displacement of buildings caused by the landslide. As a result, the complete investigation of the landslide performed in this study may serve to facilitate additional plans and strategies for prevention and mitigation of potential reactivations in the future.en_US
dc.description.sponsorshipRestrained Dataset Project [31237]en_US
dc.description.sponsorshipThe authors are grateful to ESA for providing ERS-1/2 and Envisat ASAR satellite data with the Restrained Dataset Project (Proposal Number: 31237).en_US
dc.identifier.doi10.1016/j.catena.2020.104895
dc.identifier.issn0341-8162
dc.identifier.issn1872-6887
dc.identifier.scopus2-s2.0-85090335012en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.catena.2020.104895
dc.identifier.urihttps://hdl.handle.net/20.500.12684/10586
dc.identifier.volume196en_US
dc.identifier.wosWOS:000583955200053en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofCatenaen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAerial photographsen_US
dc.subjectDeep-seated landslideen_US
dc.subjectInSAR time seriesen_US
dc.subjectUAVen_US
dc.subjectRemote-Sensing Techniquesen_US
dc.subjectPermanent Scatterersen_US
dc.subjectTessina Landslideen_US
dc.subjectDinsar Techniquesen_US
dc.subjectDeformationen_US
dc.subjectSubsidenceen_US
dc.subjectInventoryen_US
dc.subjectEvolutionen_US
dc.subjectScaleen_US
dc.subjectAreaen_US
dc.titleLong-term retrospective investigation of a large, deep-seated, and slow-moving landslide using InSAR time series, historical aerial photographs, and UAV data: The case of Devrek landslide (NW Turkey)en_US
dc.typeArticleen_US

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