Development of hyperspectral imaging as a bio-optical taxonomic tool for pigmented marine organisms

Pettersen, Ragnhild; Johnsen, Geir; Bruheim, Per; Andreassen, Trygve

doi:10.1007/s13127-013-0163-1

Cited by 33 publications

(37 citation statements)

References 20 publications

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“…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%

An Under-Ice Hyperspectral and RGB Imaging System to Capture Fine-Scale Biophysical Properties of Sea Ice

et al. 2019

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Sea-ice biophysical properties are characterized by high spatio-temporal variability ranging from the meso-to the millimeter scale. Ice coring is a common yet coarse point sampling technique that struggles to capture such variability in a non-invasive manner. This hinders quantification and understanding of ice algae biomass patchiness and its complex interaction with some of its sea ice physical drivers. In response to these limitations, a novel under-ice sled system was designed to capture proxies of biomass together with 3D models of bottom topography of land-fast sea-ice. This system couples a pushbroom hyperspectral imaging (HI) sensor with a standard digital RGB camera and was trialed at Cape Evans, Antarctica. HI aims to quantify per-pixel chlorophyll-a content and other ice algae biological properties at the ice-water interface based on light transmitted through the ice. RGB imagery processed with digital photogrammetry aims to capture under-ice structure and topography. Results from a 20 m transect capturing a 0.61 m wide swath at sub-mm spatial resolution are presented. We outline the technical and logistical approach taken and provide recommendations for future deployments and developments of similar systems. A preliminary transect subsample was processed using both established and novel under-ice bio-optical indices (e.g., normalized difference indexes and the area normalized by the maximal band depth) and explorative analyses (e.g., principal component analyses) to establish proxies of algal biomass. This first deployment of HI and digital photogrammetry under-ice provides a proof-of-concept of a novel methodology capable of delivering non-invasive and highly resolved estimates of ice algal biomass in-situ, together with some of its environmental drivers. Nonetheless, various challenges and limitations remain before our method can be adopted across a range of sea-ice conditions. Our work concludes with suggested solutions to these challenges and proposes further method and system developments for future research.

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Section: Potential Applications Of Under-ice Hyperspectral and Rgb Immentioning

confidence: 99%

An Under-Ice Hyperspectral and RGB Imaging System to Capture Fine-Scale Biophysical Properties of Sea Ice

et al. 2019

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“…The optical fingerprint (signature) per image pixel can either be an upwelling radiance, L u (λ) (W m -2 ), or reflectance, R(λ) (dimensionless). From this UHI-based image of the seafloor, the different bio-geo-chemical OOIs, such as species of deep water corals and other marine benthic organisms, can be identified (due to its specific optical fingerprint) and then mapped to look at species distribution, area coverage, and physiological condition (alive vs. dead corals) (Elde et al, 2012;Pettersen et al, 2013) (Figure 5). …”

Section: Uhimentioning

confidence: 99%

“…The species-specific optical fingerprints of the marine organisms have been the basis for UHI-based classification. The carotenoid astaxanthin, bonded to species-specific proteins (Elde et al, 2012;Pettersen et al, 2013), is the basis for the species-specific fingerprints from UHI (for details, see Johnsen et al, 2013). The figure shows an UHI-based image of "medium" spectral and spatial resolution.…”

Section: Tautramentioning

confidence: 99%

Scientific Operations Combining ROV and AUV in the Trondheim Fjord

Ludvigsen¹,

Johnsen²,

Sørensen³

et al. 2014

mar technol soc j

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A B S T R A C TThis paper describes an autonomous underwater vehicle (AUV) and a remotely operated vehicle (ROV) complementing each other on a scientific cruise in the Trondheim Fjord (Norway). The Norwegian University of Science and Technology Applied Underwater Robotics-Laboratory and the Norwegian Defense Research Establishment mobilized for a collaborative cruise with an ROV equipped with video camera, dynamic positioning system, still camera for photographic mosaic, underwater hyperspectral imager (UHI) and inertial measurement unit, and the AUV Hugin HUS with synthetic aperture sonar (SAS) and still camera as main instruments. A multidisciplinary approach was used to set up the operations for using ROV, AUV, SAS, and UHI to document archaeological and biological sites. The cruise was run as an integrated operation processing data online and using collected data actively in the cruise planning and replanning.The AUV presented unparalleled area coverage capacity for mapping and search, while the ROV provided detailed information from the sites. During the cruise, approximately 20 km 2 were mapped with high-resolution sensors, and the data were ground-truthed using the ROV. These data provided new information and insight of both biological and archaeological sites.

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“…Underwater hyperspectral imaging is a novel technology, and currently there are only a few studies published on applications and results from field experiments [13][14][15][16][17]. UHI technology has been used to record selected areas on two archaeological wreck sites, the Reference wreck in Trondheim harbor [18] and the Figaro in Trygghamna in Svalbard [19].…”

Section: Introductionmentioning

confidence: 99%

Underwater hyperspectral imaging: a new tool for marine archaeology

et al. 2018

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By applying an underwater hyperspectral imager (UHI) to a selection of archaeological artifacts, we have found spectral signatures that are representative of materials likely to be present at wreck sites. By successfully using the signatures to classify a subset of said artifacts placed on the seabed at 61 m depth, we demonstrate that it is possible to detect archaeological objects of interest in UHI data acquired by a remotely operated vehicle. Correct UHI classification of rust and glass bottles in situ on a historical wreck site further supports the viability of the method for marine archaeological applications.

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Development of hyperspectral imaging as a bio-optical taxonomic tool for pigmented marine organisms

Cited by 33 publications

References 20 publications

An Under-Ice Hyperspectral and RGB Imaging System to Capture Fine-Scale Biophysical Properties of Sea Ice

An Under-Ice Hyperspectral and RGB Imaging System to Capture Fine-Scale Biophysical Properties of Sea Ice

Scientific Operations Combining ROV and AUV in the Trondheim Fjord

Underwater hyperspectral imaging: a new tool for marine archaeology

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