Marine Geophysical Exploration and Underwater Digital Twin Technology Application

A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Ocean Engineering".

Deadline for manuscript submissions: 18 January 2025 | Viewed by 2065

Special Issue Editor


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Guest Editor
Maritime Institute, Gdynia Maritime University, Roberta de Plelo 20, 80-548 Gdańsk, Poland
Interests: benthic habitat mapping; underwater archaeology; marine geology; gis; object-based image analysis; multibeam echo sounder; hydroacoustics; geophysics; remote sensing

Special Issue Information

Dear Colleagues,

This Special Issue, entitled ‘Marine Geophysical Exploration and Underwater Digital Twin Technology Application’, addresses the innovative combination of marine geophysics and digital twin technology. The aim of this Special Issue is to explore the application of advanced geophysical methods for the detailed mapping and understanding of the marine environment. We encourage the submission of papers that consider how digital twin technology, which provides a digital replica of physical assets, processes and systems, can be applied in a subsea context. Other topics of interest include the potential application of digital twins in enhancing our predictive capabilities, in optimizing maritime operations and enhancing decision-making processes. We particularly encourage the publication of expert research in this area, case studies and reviews of recent technological developments. The aim of this Special Issue is to foster dialogue and collaboration between scientists, experts in the field and policy makers to realize the potential application of these technologies in the sustainable and efficient exploration and management of our marine resources. This Special Issue is a must-read for those interested in the future of marine exploration and the application of digital technologies.

Dr. Lukasz Janowski
Guest Editor

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Keywords

  • marine geophysics
  • digital twins
  • underwater acoustics
  • remote sensing
  • sustainable development
  • marine resources
  • underwater exploration

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Published Papers (1 paper)

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Research

19 pages, 28431 KiB  
Article
Photogrammetry of the Deep Seafloor from Archived Unmanned Submersible Exploration Dives
by Claudia H. Flores and Uri S. ten Brink
J. Mar. Sci. Eng. 2024, 12(8), 1250; https://doi.org/10.3390/jmse12081250 - 24 Jul 2024
Viewed by 1118
Abstract
Large amounts of video images have been collected for decades by scientific and governmental organizations in deep (>1000 m) water using manned and unmanned submersibles and towed cameras. The collected images were analyzed individually or were mosaiced in small areas with great effort. [...] Read more.
Large amounts of video images have been collected for decades by scientific and governmental organizations in deep (>1000 m) water using manned and unmanned submersibles and towed cameras. The collected images were analyzed individually or were mosaiced in small areas with great effort. Here, we provide a workflow for utilizing modern photogrammetry to construct virtual geological outcrops hundreds or thousands of meters in length from these archived video images. The photogrammetry further allows quantitative measurements of these outcrops, which were previously unavailable. Although photogrammetry had been carried out in recent years in the deep sea, it had been limited to small areas with pre-defined overlapping dive paths. Here, we propose a workflow for constructing virtual outcrops from archived exploration dives, which addresses the complicating factors posed by single non-linear and variable-speed vehicle paths. These factors include poor navigation, variable lighting, differential color attenuation due to variable distance from the seafloor, and variable camera orientation with respect to the vehicle. In particular, the lack of accurate navigation necessitates reliance on image quality and the establishment of pseudo-ground-control points to build the photogrammetry model. Our workflow offers an inexpensive method for analyzing deep-sea geological environments from existing video images, particularly when coupled with rock samples. Full article
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