Applications of Structure-from-Motion Photogrammetry in Coastal and Marine Studies

A special issue of Geosciences (ISSN 2076-3263).

Deadline for manuscript submissions: closed (15 May 2022) | Viewed by 6246

Special Issue Editors


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Guest Editor
School of Earth, Atmospheric and Life Sciences, University of Wollongong, Wollongong, NSW 2522, Australia
Interests: coastal geomorphology; sedimentology; marine geology; coastal management

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Guest Editor
School of Science and Engineering, University of the Sunshine Coast, Sippy Downs, QLD 4556, Australia
Interests: coastal; structure-from-motion; drones
Special Issues, Collections and Topics in MDPI journals
Escola de Artes, Ciencias e Humanidades, University of Sao Paulo, Sao Paulo 05508-060, Brazil
Interests: marine geology; coastal management; geophysics

Special Issue Information

Dear Colleagues,

Structure-from-motion (SfM) is a topographic survey technique that has recently emerged from traditional photogrammetry and advances in computer vision, offering potential to generate high accurate dense point clouds at different scales, to restitute the three-dimensional geometry of objects or surfaces. SfM uses image matching algorithms that rely on the multiscale image brightness and colour gradient between the object and its background, to identify features present in multiple digital images, regardless of changes in scale and viewpoints. It therefore offers exciting opportunities to characterise and detect changes in the surface topography of coastal and marine features and landforms in unprecedented detail. This can be done from a range of different cameras, lenses and platforms, applied both on land and underwater. The applications of SfM in coastal and marine geosciences are vast, ranging from geomorphology, sedimentology, natural hazards, biogeography, structural geology, geoheritage, archaeology, etc.

This Special Issue aims to document the vast applications of SfM across different coastal and marine environments, such as coastal barriers, sandy and boulder beaches, rock platforms, tidal flats, mangroves, salt-mashes, rock reefs, coral reefs, nearshore and deeper waters. We welcome original contributions addressing a wide range of processes and scales, especially those highlighting diverse and novel approaches. Submitted papers are expected to meet a series of criteria, including: i) a sound description of methods such as equipment and photogrammetric processing; ii) model parameters (key points/image, camera optimisation, matches/calibrated images, etc.); iii) assessment of topographic quality through comparison against independent points; and iv) appropriate acknowledgement and handling of uncertainties.

We also encourage you to send us a short abstract outlining the purpose of the research and the principal results obtained, in order to verify, at an early stage, if the contribution that you intend to submit fits with the objectives of the Special Issue.

Dr. Rafael C. Carvalho
Dr. Javier Leon
Dr. Luis Conti
Guest Editors

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Keywords

  • Digital Surface Model (DSM)
  • photogrammetry
  • remote sensing
  • point clouds
  • historical archive
  • UAV, UAS, Drone
  • ROV
  • diving rigs
  • mobile mapping

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Published Papers (2 papers)

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Research

15 pages, 6085 KiB  
Article
Quantification of Coastal Change and Preliminary Sediment Budget Calculation Using SfM Photogrammetry and Archival Aerial Imagery
by Rafael C. Carvalho and Ruth Reef
Geosciences 2022, 12(10), 357; https://doi.org/10.3390/geosciences12100357 - 26 Sep 2022
Cited by 5 | Viewed by 1814
Abstract
A preliminary sediment budget for the sandy shores flanking the entrance to Western Port, a large bay in Australia, was formulated using a comparison between two Digital Surface Models (DSMs) with a 30-year interval and auxiliary shoreline data. The 1977 DSM was generated [...] Read more.
A preliminary sediment budget for the sandy shores flanking the entrance to Western Port, a large bay in Australia, was formulated using a comparison between two Digital Surface Models (DSMs) with a 30-year interval and auxiliary shoreline data. The 1977 DSM was generated from ten aerial photographs using Structure-from-Motion (SfM) photogrammetry. Assessment of its accuracy obtained an RMSE of 0.48 m with most of the independent points overpredicting or underpredicting elevations by less than 0.5 m following manual point cloud cleaning. This technique created a 7.5 km2 surface with a Ground Sampling Distance of 34.3 cm between two coastal towns separated by a narrow channel. Comparison of the 1977 DSM to a second, light detection and ranging (LiDAR)-derived DSM from 2007 showed that a volume of ~200,000 m3 of sediment (above Mean Sea Level) was deposited at Newhaven Beach on Phillip Island, while, during the same period, ~40,000 m3 of sediment was lost from the mainland beaches of San Remo, on the eastern side of the channel. Shoreline positions extracted from aerial photographs taken in 1960 and a nautical chart published one century earlier indicate that the progradation experienced at Newhaven Beach has been possible due to provision of sediment via destabilisation of the vegetation covering the updrift Woolamai isthmus on the southeast coast of Phillip Island, whereas the retreat observed at San Remo Beach since 1960 can be attributed to the natural dynamics of the entrance, which appears to favour flood-dominance on the western side and ebb-dominance on the eastern side. While a more comprehensive balance of volumes entering and exiting the area would specifically benefit from volumetric assessments of the subaqueous part of the entrance, the general usefulness of quantifying coastal change using SfM and historical photographs is demonstrated. Full article
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17 pages, 6168 KiB  
Article
Developing Mobile Applications with Augmented Reality and 3D Photogrammetry for Visualisation of Cold-Water Coral Reefs and Deep-Water Habitats
by Larissa Macedo Cruz de Oliveira, Priscila Almeida de Oliveira, Aaron Lim, Andrew J. Wheeler and Luis Americo Conti
Geosciences 2022, 12(10), 356; https://doi.org/10.3390/geosciences12100356 - 26 Sep 2022
Cited by 1 | Viewed by 3188
Abstract
Cold-water coral (CWC) reefs are considered “hotspots” of biodiversity in deep-sea environments. Like tropical coral reefs, these habitats are subject to climate and anthropogenic threats. The use of remotely operated vehicles (ROVSs) in combination with three-dimensional (3D) modelling and augmented reality (AR) has [...] Read more.
Cold-water coral (CWC) reefs are considered “hotspots” of biodiversity in deep-sea environments. Like tropical coral reefs, these habitats are subject to climate and anthropogenic threats. The use of remotely operated vehicles (ROVSs) in combination with three-dimensional (3D) modelling and augmented reality (AR) has enabled detailed visualisation of terrestrial and marine environments while promoting data accessibility and scientific outreach. However, remote environments such as CWC reefs still present challenges with data acquisition, which impacts the further understanding of these environments. This study aims to develop a mobile application using structure-from-motion (SfM) 3D photogrammetric data and AR for the visualisation of CWC reefs. The mobile application was developed to display 3D models of CWC reefs from the Piddington Mound area, southwest of Ireland. The 3D models were tested at different resolutions to analyse the visualisation experience and trade-off between resolution and application size. The results from the 3D reconstructions with higher resolution indicate that the combination of SfM, AR, and mobile phones is a promising tool for raising awareness and literacy regarding CWC and deep-water habitats. This study is the first of its kind to showcase CWC habitats accessible to anyone, anywhere with a mobile phone and internet connectivity. Full article
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