Evaluating the use of stereo-photogrammetry for gravel-bed roughness analysis

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dc.contributor.author Bertin, Stephane en
dc.contributor.author Friedrich, Heide en
dc.contributor.author Heays, K en
dc.contributor.editor Delmas, P en
dc.contributor.editor Wuensche, B en
dc.contributor.editor James, J en
dc.coverage.spatial Auckland, New Zealand en
dc.date.accessioned 2017-09-27T02:27:18Z en
dc.date.issued 2011 en
dc.identifier.citation In P. Delmas, B. Wuensche, & J. James (Eds.), Proceedings of 26th International Conference Image and Vision Computing New Zealand (pp. 41-47). Auckland, NZ en
dc.identifier.isbn 978-0-473-20281-1 en
dc.identifier.uri http://hdl.handle.net/2292/35794 en
dc.description.abstract In this work, three different measurement technologies are employed to study the hydraulic roughness in a laboratory flume with a gravel-bed. The gravel-bed topography is measured with (i) an acoustic bed-profiler; (ii) a hand-held laser-scanner; and (iii) stereo-photogrammetry. Digital Elevation Models (DEMs) are obtained with each technique. Statistical roughness analyses of the DEMs are undertaken by estimating the vertical roughness length, represented by the standard deviation of bed elevations. In addition, Probability Distribution Functions (PDFs) and two-dimensional second-order structure functions of bed elevations are used for the analyses. All three measurement techniques were found precise enough to reach the grain-scale of laboratory gravel-beds. However, important disparities were found between the DEMs, which were not always visible statistically. The acoustic bed-profiler and the laser-scanner were found suitable for gravel-bed roughness characterisation. With stereo-photogrammetry, the complex operational processes must be improved to obtain realistic high-resolution DEMs and to derive faithful statistics. en
dc.description.uri https://web.archive.org/web/20130504081606/http://www.ivs.auckland.ac.nz/ivcnz2011/programme.php en
dc.publisher Image and Vision Computing New Zealand en
dc.relation.ispartof 26th International Conference Image and Vision Computing New Zealand en
dc.relation.ispartofseries Proceedings of 26th International Conference Image and Vision Computing New Zealand en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.title Evaluating the use of stereo-photogrammetry for gravel-bed roughness analysis en
dc.type Conference Item en
pubs.begin-page 41 en
dc.rights.holder Copyright: Image and Vision Computing New Zealand en
pubs.author-url https://web.archive.org/web/20130504081345/http://www.ivs.auckland.ac.nz/ivcnz2011/proceedings.pdf en
pubs.end-page 47 en
pubs.finish-date 2011-12-01 en
pubs.place-of-publication Auckland, NZ en
pubs.publication-status Published en
pubs.start-date 2011-11-29 en
dc.rights.accessrights http://purl.org/eprint/accessRights/RestrictedAccess en
pubs.subtype Proceedings en
pubs.elements-id 264518 en
pubs.org-id Engineering en
pubs.org-id Civil and Environmental Eng en
pubs.record-created-at-source-date 2011-12-21 en


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