dc.contributor.author | Hastaoglu, K. O. | |
dc.contributor.author | Poyraz, F. | |
dc.contributor.author | Turk, T. | |
dc.contributor.author | Yilmaz, I | |
dc.contributor.author | Kocbulut, F. | |
dc.contributor.author | Demirel, M. | |
dc.contributor.author | Sanli, U. | |
dc.contributor.author | Duman, H. | |
dc.contributor.author | Sanli, F. Balik | |
dc.date.accessioned | 2019-07-27T12:10:23Z | |
dc.date.accessioned | 2019-07-28T09:37:32Z | |
dc.date.available | 2019-07-27T12:10:23Z | |
dc.date.available | 2019-07-28T09:37:32Z | |
dc.date.issued | 2018 | |
dc.identifier.issn | 0039-6265 | |
dc.identifier.issn | 1752-2706 | |
dc.identifier.uri | https://dx.doi.org/10.1080/00396265.2017.1295631 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12418/6107 | |
dc.description | WOS: 000448080900001 | en_US |
dc.description.abstract | The purpose of this study is to determine deformations in landslide areas with two methods, Persistent Scatterer Interferometry (PSI) and GNSS (Global Navigation Satellite System). In the Koyulhisar landslide area, 53 GNSS points were established throughout the region. Velocity values for these points are three-dimensional. In addition, TerraSAR-X SAR (Synthetic Aperture Radar) images were processed with Stanford Method for Persistent Scatterers software. Slip surfaces of the landslide region in the direction of the line of sight were calculated from PSI in addition to one-dimensional velocity values. These values were compared to GNSS data converted to the same format. GNSS was found more effective for tracking local deformations based on point data while PSI was better at areal movements. Using both methods together is the most effective in this region because there are small local movements independent of regional movements. | en_US |
dc.description.sponsorship | Sivas Cumhuriyet University under Cumhuriyet University [CUBAP-M468]; Scientific Technological Research Council of Turkey under Cumhuriyet University [CUBAP-M468]; Turkiye Bilimsel ve Teknolojik Arastirma Kurumu [TUBITAK-111Y111] | en_US |
dc.description.sponsorship | The authors would like to thank Sivas Cumhuriyet University and The Scientific Technological Research Council of Turkey for supporting the studies under Cumhuriyet University [CUBAP-M468] and Turkiye Bilimsel ve Teknolojik Arastirma Kurumu [TUBITAK-111Y111]. Interferometric data were processed using the public domain SAR processor DORIS. StaMPS and satellite data were from Delft University of Technology. The authors are grateful to The German Aerospace Center (DLR) for providing Terra SAR-X data under Deutsches Zentrum fur Luft- und Raumfahrt [GEO1232]. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | TAYLOR & FRANCIS LTD | en_US |
dc.relation.isversionof | 10.1080/00396265.2017.1295631 | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | PSI | en_US |
dc.subject | GNSS | en_US |
dc.subject | Landslides | en_US |
dc.subject | Monitoring | en_US |
dc.title | Investigation of the success of monitoring slow motion landslides using Persistent Scatterer Interferometry and GNSS methods | en_US |
dc.type | article | en_US |
dc.relation.journal | SURVEY REVIEW | en_US |
dc.contributor.department | [Hastaoglu, K. O. -- Poyraz, F. -- Turk, T.] Cumhuriyet Univ, Fac Engn, Dept Geomat Engn, Sivas, Turkey -- [Yilmaz, I -- Kocbulut, F. -- Demirel, M.] Cumhuriyet Univ, Fac Engn, Dept Geol Engn, Sivas, Turkey -- [Sanli, U. -- Duman, H. -- Sanli, F. Balik] Yildiz Tech Univ, Fac Civil Engn, Dept Geomat Engn, Istanbul, Turkey | en_US |
dc.contributor.authorID | Turk, Tarik -- 0000-0002-2671-7590; Poyraz, Fatih -- 0000-0001-9471-7261 | en_US |
dc.identifier.volume | 50 | en_US |
dc.identifier.issue | 363 | en_US |
dc.identifier.endpage | 486 | en_US |
dc.identifier.startpage | 475 | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |