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Close-Range Spectral Imaging of Aquatic Systems

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Ocean Remote Sensing".

Deadline for manuscript submissions: closed (1 February 2022) | Viewed by 11567

Special Issue Editors


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Guest Editor
Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS 7001, Australia
Interests: marine remote sensing; acoustic data processing for the seafloor and water column; textural analysis; GEOBIA; biodiversity assessment; bathymetric modelling; backscatter processing and analysis; marine geomorphometry and spatial data modelling
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Dept Biology, NTNU Trondheim, Trondheim, Norway
Interests: marine biodiversity; eco-physiology; environmental mapping and monitoring; surface; water column and seafloor; in situ-in vivo-in vitro bio-optics; autonomous instrument carring platforms; extreme environments; tropics; temperate areas; Arctic

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Guest Editor
Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, Tasmania 7001, Australia
Interests: remote sensing; hyperspectral imaging, digital photogrammetry; polar science; habitat mapping; unmanned platforms; bio-optics

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Guest Editor
Leibniz Centre for Tropical Marine Research, Bremen, Germany
Interests: habitat mapping; machine learning; marine ecology; spectral imaging; technology development, scientific diving; biodiversity

Special Issue Information

Dear Colleagues,


This Special Issue invites research articles and reviews dealing with the use of close-range spectral imaging (hyperspectral or multispectral) techniques, platforms, and analyses for the study of marine or aquatic environments.

As spectral imaging sensors have become more portable and accessible, they are being used in a wide range of applications, from the study of samples in the laboratory to field sampling in coastal, limnic, or marine environments. The integration of spectral imaging sensors onto small platforms has revolutionized the access to and scale of optical surveying of coastal or underwater habitats. This has greatly bolstered our capacity to analyze, detect, quantify, and classify the features of these environments, such as biogeochemical structures, organisms, natural or man-made substrata, and pollutants, at unprecedented spatial resolutions. For this Special Issue, we invite scientific studies that exploit close-up optical spectral imaging for the study of marine or aquatic systems in both in-situ and ex-situ settings. We welcome studies that address problems particular to proximal or underwater imaging, such as calibrations, integration on small platforms, geo-registration, and rectification. The increasing use of small platforms (UAVs, ROVs, AUVs, SCUBA, etc.) invites a special focus, and we wish to exclude satellite or manned aircrafts from this Special Issue. We also invite laboratory or field studies that use spectral imaging analyses for marine or aquatic applications.

Specific themes include, but are not limited to, the following:

  • Integration and demonstration of spectral imaging on small platforms for marine or aquatic environments;
  • Laboratory or field-based studies of aquatic targets: from microplastics to geological samples to megafauna;
  • Analytical developments for spectral imaging through fluid media: calibrations, images, or spectral corrections and reconstruction;
  • Operational developments for large-scale applications: geo-registration, rectification, mosaicking, etc.;
  • Big data developments in spectral image processing: machine learning, data fusion, and other statistical approaches;
  • Next-generation technologies and missions for the use of spectral imaging in marine monitoring programs; and
  • Reviews summarizing progress in the field.


Dr. Vanessa Lucieer
Prof. Dr. Geir Johnsen
Dr. Emiliano Cimoli
Dr. Arjun Chennu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • spectral imaging
  • calibration of spectral imaging
  • machine learning
  • data fusion
  • marine environment
  • marine platforms
  • habitat mapping
  • marine sensors
  • marine technology
  • unmanned systems

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Published Papers (2 papers)

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Research

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11 pages, 2200 KiB  
Article
Underwater Hyperspectral Imaging of Arctic Macroalgal Habitats during the Polar Night Using a Novel Mini-ROV-UHI Portable System
by Natalie Summers, Geir Johnsen, Aksel Mogstad, Håvard Løvås, Glaucia Fragoso and Jørgen Berge
Remote Sens. 2022, 14(6), 1325; https://doi.org/10.3390/rs14061325 - 9 Mar 2022
Cited by 13 | Viewed by 3487
Abstract
We describe an Underwater Hyperspectral Imager (UHI) deployed on an instrument-carrying platform consisting of two interconnected mini-ROVs (Remotely Operated Vehicle) for the mapping and monitoring of Arctic macroalgal habitats in Kongsfjorden (Svalbard) during the Polar Night. The mini-ROV-UHI system is easy to transport, [...] Read more.
We describe an Underwater Hyperspectral Imager (UHI) deployed on an instrument-carrying platform consisting of two interconnected mini-ROVs (Remotely Operated Vehicle) for the mapping and monitoring of Arctic macroalgal habitats in Kongsfjorden (Svalbard) during the Polar Night. The mini-ROV-UHI system is easy to transport, assemble and deploy from shore, even under the dark, icy and cold conditions of the Arctic Polar Night. The system can be operated by two persons, keeping the operational costs low. In vivo hyperspectral reflectance of collected specimens of brown, red and green macroalgae was measured with a spectrometer in the lab to provide a spectral library for supervised pigment group classification based on UHI photomosaics. The in situ UHI-photomosaics provided detailed information of the areal coverage of the seafloor substrate (16%), as well as brown (51% habitat cover), red (18%), and green (14%) macroalgae, with spatial resolution in the range of cm and spectral resolution of 2 nm. The collected specimens from the mapped area were also used for species identification and health state evaluation. This innovative UHI sampling method provides significant information about macroalgal distribution and physiology, and due to its flexibility in terms of deployment, it is applicable to a variety of environments. Full article
(This article belongs to the Special Issue Close-Range Spectral Imaging of Aquatic Systems)
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Review

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27 pages, 2924 KiB  
Review
Underwater Hyperspectral Imaging (UHI): A Review of Systems and Applications for Proximal Seafloor Ecosystem Studies
by Juan C. Montes-Herrera, Emiliano Cimoli, Vonda Cummings, Nicole Hill, Arko Lucieer and Vanessa Lucieer
Remote Sens. 2021, 13(17), 3451; https://doi.org/10.3390/rs13173451 - 31 Aug 2021
Cited by 20 | Viewed by 6878
Abstract
Marine ecosystem monitoring requires observations of its attributes at different spatial and temporal scales that traditional sampling methods (e.g., RGB imaging, sediment cores) struggle to efficiently provide. Proximal optical sensing methods can fill this observational gap by providing observations of, and tracking changes [...] Read more.
Marine ecosystem monitoring requires observations of its attributes at different spatial and temporal scales that traditional sampling methods (e.g., RGB imaging, sediment cores) struggle to efficiently provide. Proximal optical sensing methods can fill this observational gap by providing observations of, and tracking changes in, the functional features of marine ecosystems non-invasively. Underwater hyperspectral imaging (UHI) employed in proximity to the seafloor has shown a further potential to monitor pigmentation in benthic and sympagic phototrophic organisms at small spatial scales (mm–cm) and for the identification of minerals and taxa through their finely resolved spectral signatures. Despite the increasing number of studies applying UHI, a review of its applications, capabilities, and challenges for seafloor ecosystem research is overdue. In this review, we first detail how the limited band availability inherent to standard underwater cameras has led to a data analysis “bottleneck” in seafloor ecosystem research, in part due to the widespread implementation of underwater imaging platforms (e.g., remotely operated vehicles, time-lapse stations, towed cameras) that can acquire large image datasets. We discuss how hyperspectral technology brings unique opportunities to address the known limitations of RGB cameras for surveying marine environments. The review concludes by comparing how different studies harness the capacities of hyperspectral imaging, the types of methods required to validate observations, and the current challenges for accurate and replicable UHI research. Full article
(This article belongs to the Special Issue Close-Range Spectral Imaging of Aquatic Systems)
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