Developments in photogrammetric remote sensing for grain-scale fluvial morphology studies

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dc.contributor.advisor Friedrich, H en
dc.contributor.advisor Delmas, P en
dc.contributor.author Bertin, Stephane en
dc.date.accessioned 2016-03-03T00:50:49Z en
dc.date.issued 2016 en
dc.identifier.citation 2016 en
dc.identifier.uri http://hdl.handle.net/2292/28365 en
dc.description.abstract THE AIM OF THIS STUDY is two-fold. Firstly, it uses the latest advances in photogrammetric engineering and computer vision to develop a remote-sensing technique customised for grain-scale fluvial morphology research in both the laboratory and the field. Secondly, the recorded gravelbed elevation data are processed by means of geostatistical methods, providing new observations on fluvial microtopography, and its interaction with flows. Initially, a series of flume tests is presented, which allowed to test, develop and optimise a solution for measuring water-worked gravel beds using digital photogrammetry, a growing technique used in the Earth Sciences. The thesis presents in detail the use and evaluation of digital cameras and off-the-shelf calibration and stereo matching methods for non-proprietary close-range remote sensing applications. Substantial developments are made (i) to customise the camera arrangement to the measurement tasks, (ii) to improve the measurement of submerged topographies in flumes, (iii) to identify and quantify photogrammetric errors using purposely-designed 3D-printed ground truths, (iv) to design optimisation strategies to minimise calibration and stereo matching errors and their propagation to digital elevation models (DEMs), and finally (v) to allow merging of overlapping DEMs to optimise surface coverage and measurement resolution. This results in a photogrammetric technique that is capable of efficient and effective DEM collection in both the laboratory and the field, with sub-millimetre resolution and accuracy, needed for precise measurements of gravel beds and roughness properties. In the second part, the presented photogrammetric developments are then used to study riverbed armouring manifestations of water-worked gravel beds. A range of geostatical analysis methods are introduced to determine (i) bed-surface sediment size and preferential orientation, (ii) bedelevation distribution moments and spatial correlations, (iii) distribution of surface slope and aspect angles, and (iv) grain inclination and imbrication. Analytical results show that stable armour layers are replicable for similar formative flow and sediment and that armour layer formation and break-up involves a complete and consistent re-arrangement of the bed material, beyond the generally reported surface coarsening. For an initial field application, using the developed photogrammetric and geostatical analytical techniques, it is shown that sedimentological and geomorphic contrasts exist between gravel bars of the same river reach, and advances are made to relate these differences to the flow history. en
dc.publisher ResearchSpace@Auckland en
dc.relation.ispartof PhD Thesis - University of Auckland en
dc.relation.isreferencedby UoA99264837789702091 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.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/nz/ en
dc.title Developments in photogrammetric remote sensing for grain-scale fluvial morphology studies en
dc.type Thesis en
thesis.degree.discipline Civil and Environmental Engineering en
thesis.degree.grantor The University of Auckland en
thesis.degree.level Doctoral en
thesis.degree.name PhD en
dc.rights.holder Copyright: The Author en
dc.rights.accessrights http://purl.org/eprint/accessRights/OpenAccess en
pubs.elements-id 524064 en
pubs.record-created-at-source-date 2016-03-03 en
dc.identifier.wikidata Q112562803


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