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Underwater Hyperspectral Imaging (UHI): a review of systems and applications for proximal seafloor ecosystem studies

Citation

Montes Herrera, JC and Cimoli, E and Cummings, V and Hill, N and Lucieer, A and Lucieer, V, Underwater Hyperspectral Imaging (UHI): a review of systems and applications for proximal seafloor ecosystem studies, Remote Sensing, 13, (17) Article 3451. ISSN 2072-4292 (2021) [Refereed Article]


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Copyright Statement

Copyright 2021 the authors. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/

DOI: doi:10.3390/rs13173451

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 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.

Item Details

Item Type:Refereed Article
Keywords:marine remote sensing, ROV, imaging spectroscopy, spectral analysis, mapping, seafloor
Research Division:Engineering
Research Group:Geomatic engineering
Research Field:Photogrammetry and remote sensing
Objective Division:Environmental Management
Objective Group:Marine systems and management
Objective Field:Assessment and management of benthic marine ecosystems
UTAS Author:Montes Herrera, JC (Mr Juan Carlos Montes Herrera)
UTAS Author:Cimoli, E (Dr Emiliano Cimoli)
UTAS Author:Hill, N (Dr Nicole Hill)
UTAS Author:Lucieer, A (Professor Arko Lucieer)
UTAS Author:Lucieer, V (Dr Vanessa Lucieer)
ID Code:146346
Year Published:2021
Funding Support:Australian Research Council (SR200100008)
Web of Science® Times Cited:2
Deposited By:Ecology and Biodiversity
Deposited On:2021-09-01
Last Modified:2022-08-23
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