3D models of the leader valley using satellite & UAV imagery following the 2016 Kaikoura earthquake

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dc.contributor.authorZekkos, D.en
dc.contributor.authorClark, M.en
dc.contributor.authorWillis, Michael J.en
dc.contributor.authorAthanasopoulos-Zekkos, A.en
dc.contributor.authorManousakis, J.en
dc.contributor.authorKnoper, L.en
dc.contributor.authorStahl, T.en
dc.contributor.authorMassey, C.en
dc.contributor.authorArchibald, G.en
dc.contributor.authorGreenwood, W.en
dc.contributor.authorMedwedeff, W.en
dc.coverage.countryNew Zealanden
dc.date.accessioned2024-02-21T19:41:32Zen
dc.date.available2024-02-21T19:41:32Zen
dc.date.issued2018-01-01en
dc.description.abstractThe ability to quickly, efficiently and reliably characterize changes in the landscape following an earthquake has remained a challenge for the earthquake engineering profession. The 2016 Mw7.8 Kaikoura earthquake provided a unique opportunity to document changes in topography following an earthquake on a regional scale using satellite derived high-resolution digital models. Along-track stereo satellite imagery had been collected for the pre-event topography. Satellites were tasked and collected stereo-mode post-event imagery. Both sets of images were used to create digital surface models (DSMs) of the affected area before and after the event. The procedure followed and indicative results for the Leader valley are presented with emphasis on the challenges associated with the implementation of the technique for the first time in this environment. The valley is of interest because of the variety of features it includes, i.e., the large Leader landslide, smaller landslides, stable sloping and flat ground as well as fault rupture lineaments. The open-source SETSM software is used to provide multiple DSMs. Our workflow is described and results are compared against the DSM created using Structure-from-Motion with imagery collected by Unmanned Aerial Vehicles (UAV) and aerial LIDAR. Overall, the sub-meter agreement between the DSM created using satellites and the DSM created using UAV and LIDAR datasets demonstrates viability for use in seismic studies, but features smaller than about 0.5 m are more difficult to discern.en
dc.description.versionPublished versionen
dc.format.extentPages 3041-3051en
dc.format.mimetypeapplication/pdfen
dc.identifier.isbn9781510873254en
dc.identifier.urihttps://hdl.handle.net/10919/118096en
dc.identifier.volume5en
dc.language.isoenen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.title3D models of the leader valley using satellite & UAV imagery following the 2016 Kaikoura earthquakeen
dc.title.serial11th National Conference on Earthquake Engineering 2018, NCEE 2018: Integrating Science, Engineering, and Policyen
dc.typeConference proceedingen
dc.type.dcmitypeTexten
dc.type.otherConference Proceedingen
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/Scienceen
pubs.organisational-group/Virginia Tech/Science/Geosciencesen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/Science/COS T&R Facultyen

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