UAV Structure-from-Motion Monitoring of Landslides in Auckland, New Zealand

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dc.contributor.advisor Brook, Martin en
dc.contributor.author Vaidya, Vivek en
dc.date.accessioned 2020-08-24T02:23:53Z en
dc.date.available 2020-08-24T02:23:53Z en
dc.date.issued 2020 en
dc.identifier.uri http://hdl.handle.net/2292/52751 en
dc.description Full Text is available to authenticated members of The University of Auckland only. en
dc.description.abstract Landslide monitoring is crucial for understanding the rates of slope displacement, evolution of slope morphology, and the factors associated with inducing landslide failure. Landslides are a global hazard, and regions like Auckland, New Zealand are readily affected by them. The undulating topography and regional sub-tropical climate, are influential factors when it comes to landslide failure events in the region. Recent advancements in remote sensing technology have implemented the use of Unmanned Aerial Vehicles (UAVs) for monitoring. Along with being cost-effective, UAVs allow for rapid and accurate collection of imagery for landslide hazard monitoring. This study aimed to utilize UAVs with combined Structure-from-Motion (SfM) and Multi-View Stereopsis (MVS) algorithms, to survey and monitor slow deforming slopes across the region over a fivemonth survey interval. Generated results produced high-resolution 3D point-clouds, photomosaics, Digital Surface Models (DSMs), and Digital Terrain Models (DTMs). Time-series differencing analysis was additionally conducted using UAV-SfM derived DSMs for surface change detection across the selected sites. Across the five-month survey interval (July-November), the results indicated no discernible change in slope movement. Limiting factors were likely to be the selected survey interval, and growth of surface site vegetation. The COSI-Corr feature tracking analysis was additionally trialled for this study to assess sub-pixel slope change. However, certain limitations including the survey interval did constrain the production of efficient results. Nevertheless, the UAV-SfM technique proved to represent a financially viable and rapid monitoring technique for this study, which produced highresolution results compared to more traditional techniques like airborne LiDAR. en
dc.publisher ResearchSpace@Auckland en
dc.relation.ispartof Masters Thesis - University of Auckland en
dc.relation.isreferencedby UoA99265311013902091 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 Restricted Item. Full Text is available to authenticated members of The University of Auckland only. 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 UAV Structure-from-Motion Monitoring of Landslides in Auckland, New Zealand en
dc.type Thesis en
thesis.degree.discipline Earth Science en
thesis.degree.grantor The University of Auckland en
thesis.degree.level Masters en
dc.rights.holder Copyright: The author en
pubs.elements-id 810865 en
pubs.record-created-at-source-date 2020-08-24 en


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