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Mapping the in situ microspatial distribution of ice algal biomass through hyperspectral imaging of sea-ice cores

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Cimoli, E ORCID: 0000-0001-7964-2716, Lucieer, V ORCID: 0000-0001-7531-5750, Meiners, KM, Chennu, A, Castrisios, K, Ryan, KG, Lund-Hansen, LC, Martin, A ORCID: 0000-0001-8260-5529, Kennedy, F ORCID: 0000-0003-1796-0764 and Lucieer, A ORCID: 0000-0002-9468-4516 2020 , 'Mapping the in situ microspatial distribution of ice algal biomass through hyperspectral imaging of sea-ice cores' , Scientific Reports, vol. 10, no. 1 , pp. 1-17 , doi: 10.1038/s41598-020-79084-6.

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Abstract

Ice-associated microalgae make a significant seasonal contribution to primary production and biogeochemical cycling in polar regions. However, the distribution of algal cells is driven by strong physicochemical gradients which lead to a degree of microspatial variability in the microbial biomass that is significant, but difficult to quantify. We address this methodological gap by employing a field-deployable hyperspectral scanning and photogrammetric approach to study sea-ice cores. The optical set-up facilitated unsupervised mapping of the vertical and horizontal distribution of phototrophic biomass in sea-ice cores at mm-scale resolution (using chlorophyll a [Chl a] as proxy), and enabled the development of novel spectral indices to be tested against extracted Chl a (R2 ≤ 0.84). The modelled bio-optical relationships were applied to hyperspectral imagery captured both in situ (using an under-ice sliding platform) and ex situ (on the extracted cores) to quantitatively map Chl a in mg m−2 at high-resolution (≤ 2.4 mm). The optical quantification of Chl a on a per-pixel basis represents a step-change in characterising microspatial variation in the distribution of ice-associated algae. This study highlights the need to increase the resolution at which we monitor under-ice biophysical systems, and the emerging capability of hyperspectral imaging technologies to deliver on this research goal.

Item Type: Article
Authors/Creators:Cimoli, E and Lucieer, V and Meiners, KM and Chennu, A and Castrisios, K and Ryan, KG and Lund-Hansen, LC and Martin, A and Kennedy, F and Lucieer, A
Keywords: hyperspectral, sea-ice
Journal or Publication Title: Scientific Reports
Publisher: Nature Publishing Group
ISSN: 2045-2322
DOI / ID Number: 10.1038/s41598-020-79084-6
Copyright Information:

Copyright 2020 The Authors Tis article is licensed under a Creative Commons Attribution 4.0 International License

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