Photogrammetric monitoring of an artificially generated landslide
dc.authorid | 0000-0002-1510-8677 | |
dc.authorid | 0000-0002-7060-2141 | |
dc.authorid | 0000-0003-1411-7720 | |
dc.contributor.author | Akça, Mehmet Devrim | en_US |
dc.contributor.author | Gruen, Armin W. | en_US |
dc.contributor.author | Askarinejad, Amin | en_US |
dc.contributor.author | Springman, Sarah Marcella | en_US |
dc.date.accessioned | 2020-12-17T13:06:54Z | |
dc.date.available | 2020-12-17T13:06:54Z | |
dc.date.issued | 2011-05-08 | |
dc.department | Işık Üniversitesi, Fen Edebiyat Fakültesi, Enformasyon Teknolojileri Bölümü | en_US |
dc.department | Işık University, Faculty of Arts and Sciences, Department of Information Technologies | en_US |
dc.description.abstract | According to pre-planned schedules, a series of two artificial rainfall events were applied to a forested slope in Ruedlingen, northern Switzerland. The experiments were conducted in autumn 2008 and spring 2009, the second of which resulted in mobilising about 130 m3 of debris. Both experiments were monitored by a photogrammetric camera network in order to quantify spatial and temporal changes. A 4-camera arrangement was used for the image acquisition. The cameras operated at a data acquisition rate of circa 8 frames per second (fps). Image measurements were made using the Least Squares image matching method, which was implemented in an in-house developed software package (BAAP) to compute 3D coordinates of the target points. The surface deformation was quantified by tracking the small (ping-pong and tennis) balls pegged into the ground. The average 3D point-positioning precision of ±1.6 cm was achieved in the first experiment and ±1.8 cm in the second experiment. | en_US |
dc.description.sponsorship | This research was funded by the Competence Centre for Environment and Sustainability (CCES) within the framework of the TRAMM-Project. Marco Sperl, Stefan Moser, Ernst Bleiker, Felix Wietlisbach and Peter Kienzler, have kindly contributed to this work. We are grateful to the Gemeinde of Ruedlingen and their President Mrs. Katy Leutenegger for giving permission to carry out this experiment on their land. | en_US |
dc.description.version | Publisher's Version | en_US |
dc.identifier.citation | Akça, M. D., Gruen, A. W., Askarinejad, A. & Springman, S. M. (2011). Photogrammetric monitoring of an artificially generated landslide. Paper presented at the GeoInformation for Disaster Management | en_US |
dc.identifier.endpage | 10 | |
dc.identifier.scopus | 2-s2.0-85083954110 | |
dc.identifier.scopusquality | N/A | |
dc.identifier.startpage | 1 | |
dc.identifier.uri | https://hdl.handle.net/11729/2990 | |
dc.indekslendigikaynak | Scopus | en_US |
dc.institutionauthor | Akça, Mehmet Devrim | en_US |
dc.institutionauthorid | 0000-0002-1510-8677 | |
dc.language.iso | en | en_US |
dc.peerreviewed | Yes | en_US |
dc.publicationstatus | Published | en_US |
dc.publisher | Copernicus GmbH | en_US |
dc.relation.ispartof | GeoInformation for Disaster Management | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Digital camera | en_US |
dc.subject | Landslide | en_US |
dc.subject | Network design | en_US |
dc.subject | Photogrammetry | en_US |
dc.subject | Point tracking | en_US |
dc.subject | Simulation | en_US |
dc.title | Photogrammetric monitoring of an artificially generated landslide | en_US |
dc.type | Conference Object | en_US |
dspace.entity.type | Publication |