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dc.contributor.authorAkça, Mehmet Devrimen_US
dc.contributor.authorGruen, Armin W.en_US
dc.contributor.authorAskarinejad, Aminen_US
dc.contributor.authorSpringman, Sarah Marcellaen_US
dc.date.accessioned2020-12-17T13:06:54Z
dc.date.available2020-12-17T13:06:54Z
dc.date.issued2011-05-08
dc.identifier.citationAkça, 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 Managementen_US
dc.identifier.urihttps://hdl.handle.net/11729/2990
dc.description.abstractAccording 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.sponsorshipThis 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.language.isoengen_US
dc.publisherCopernicus GmbHen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectDigital cameraen_US
dc.subjectLandslideen_US
dc.subjectNetwork designen_US
dc.subjectPhotogrammetryen_US
dc.subjectPoint trackingen_US
dc.subjectSimulationen_US
dc.titlePhotogrammetric monitoring of an artificially generated landslideen_US
dc.typeconferenceObjecten_US
dc.description.versionPublisher's Versionen_US
dc.relation.journalGeoInformation for Disaster Managementen_US
dc.contributor.departmentIşık Üniversitesi, Fen Edebiyat Fakültesi, Enformasyon Teknolojileri Bölümüen_US
dc.contributor.departmentIşık University, Faculty of Arts and Sciences, Department of Information Technologiesen_US
dc.contributor.authorID0000-0002-1510-8677
dc.identifier.startpage1
dc.identifier.endpage10
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.contributor.institutionauthorAkça, Mehmet Devrimen_US


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