2019
DOI: 10.3390/s19102261
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Application of Hyperspectral Imaging to Underwater Habitat Mapping, Southern Adriatic Sea

Abstract: Hyperspectral imagers enable the collection of high-resolution spectral images exploitable for the supervised classification of habitats and objects of interest (OOI). Although this is a well-established technology for the study of subaerial environments, Ecotone AS has developed an underwater hyperspectral imager (UHI) system to explore the properties of the seafloor. The aim of the project is to evaluate the potential of this instrument for mapping and monitoring benthic habitats in shallow and deep-water en… Show more

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Cited by 39 publications
(39 citation statements)
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References 59 publications
(109 reference statements)
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“…Macro-(>2 cm) and mega-benthic organisms were identified to the lower possible taxonomic rank. Taxa unidentifiable at species level from images alone were categorized as morphological categories (e.g., [63,64]). Taxonomic classification adheres to the World Register of Marine Species database [65].…”
Section: Methodsmentioning
confidence: 99%
“…Macro-(>2 cm) and mega-benthic organisms were identified to the lower possible taxonomic rank. Taxa unidentifiable at species level from images alone were categorized as morphological categories (e.g., [63,64]). Taxonomic classification adheres to the World Register of Marine Species database [65].…”
Section: Methodsmentioning
confidence: 99%
“…To the authors knowledge, only three underwater HI payload designs have been documented before. The Ecotone UHI (Ecotone, Trondheim, Norway) is a commercial solution designed for deep or shallow ROV-based seafloor observations and utilizes active light sources [36,76]. The Ecotone UHI has also been equipped onto unmanned seafloor vehicles (USV) for shallow seafloor mapping [33].…”
Section: Under-ice Hyperspectral Imaging Data Quality and Processingmentioning
confidence: 99%
“…In theory, hyperspectral resolution data has the potential to resolve beyond pure biomass estimates towards more sophisticated biological traits such as ice algal photophysiology [91,97,98], species composition [97,99,100], pigment detection [101][102][103], and feature classification and mapping [35,76,104]. An interesting field is also being explored in the retrieval of primary production estimates from spectral data in combination with in-vitro photosynthetic parameters for ice algae [7,105] or with PAM fluorometry for microphytobenthic communities [106].…”
Section: Potential Applications Of Under-ice Hyperspectral and Rgb Immentioning
confidence: 99%
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“…Deep-sea ecosystems are of great significance in the study of species’ origin and evolution and geochemistry. Recently, Foglini et al [ 86 ] presented a survey on cold-water corals in the Southern Adriatic Sea at a depth of 200–700 m. By using UHI, several biological groups (such as Madrepora oculata , Desmophyllum pertusum , Desmophyllum dianthus, and large fan-shaped sponges) in this area were identified and classified. One of the classification images is shown in Figure 5 .…”
Section: Applications Of Underwater Hyperspectral Imaging Technolomentioning
confidence: 99%