A new perspective of storm bite on sandy beaches using unmanned aerial vehicles

Ierodiaconou, Daniel, Schimel, Alexandre and Kennedy, David M. 2016, A new perspective of storm bite on sandy beaches using unmanned aerial vehicles, Annals of geomorphology, no. Supplementary issue, pp. 1-15, doi: 10.1127/zfg_suppl/2016/00247.

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Title A new perspective of storm bite on sandy beaches using unmanned aerial vehicles
Author(s) Ierodiaconou, DanielORCID iD for Ierodiaconou, Daniel orcid.org/0000-0002-7832-4801
Schimel, Alexandre
Kennedy, David M.
Journal name Annals of geomorphology
Issue number Supplementary issue
Start page 1
End page 15
Total pages 15
Publisher Gebrueder Borntraeger Verlagsbuchhandlung
Place of publication Berlin, Germany
Publication date 2016-05-03
ISSN 0372-8854
Keyword(s) Unmanned aerial systems (UAS),
unmanned aerial vehicle (UAV),
coastal geomorphology
storm erosion
coastal change
Summary Aerial imagery collected before and after major storm events is ideal for the assessment of coastal landscape change driven by individual high-magnitude events. Using traditional satellite sensors and manned aerial systems can be challenging due to issues related to cloud cover, mobilization expenses and resolution. Rapid advances in unmanned aerial vehicle (UAV) technology allow for the cost-effective collection of aerial imagery and topography at centimetre resolution suitable for assessing change in coastal ecosystems. In this study we demonstrate the utility of UAV-based photogrammetry to quantify storm-driven sediment dynamics on a sandy beach on the open-coast shoreline of Victoria, Australia. UAV-based aerial photography was collected before and after a major storm event. High-resolution (< 5 cm) aerial imagery and digital surface models were acquired and change-detection techniques were applied to quantify changes in the beachface. An average beach erosion of 12.24 m3/m with a maximum of 28.05 m3/m was observed, and the volume of sand cut from the beachface and retreat of the foredune are clearly illustrated. Following the storm event, erosion was estimated at 7259.94 ± 503.69 m3 along 550 m of beach. By combining the aerial imagery and derived topographic datasets we demonstrate the advantage of UAV-based photogrammetry techniques for rapid high-resolution data collection in semi-remote locations. Its utility in setting unlimited virtual vantage points is also illustrated and the valuable perspective it provides for tracking landscape change discussed.
Language eng
DOI 10.1127/zfg_suppl/2016/00247
Field of Research 050204 Environmental Impact Assessment
0406 Physical Geography And Environmental Geoscience
Socio Economic Objective 970105 Expanding Knowledge in the Environmental Sciences
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2016, Gebrueder Borntraeger Verlagsbuchhandlung
Persistent URL http://hdl.handle.net/10536/DRO/DU:30083413

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