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

Citation

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, Mapping the in situ microspatial distribution of ice algal biomass through hyperspectral imaging of sea-ice cores, Scientific Reports, 10, (1) Article 21848. ISSN 2045-2322 (2020) [Refereed Article]


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

DOI: doi:10.1038/s41598-020-79084-6

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 Details

Item Type:Refereed Article
Keywords:hyperspectral, sea-ice
Research Division:Engineering
Research Group:Geomatic engineering
Research Field:Photogrammetry and remote sensing
Objective Division:Environmental Management
Objective Group:Management of Antarctic and Southern Ocean environments
Objective Field:Management of Antarctic and Southern Ocean environments not elsewhere classified
UTAS Author:Cimoli, E (Mr Emiliano Cimoli)
UTAS Author:Lucieer, V (Dr Vanessa Lucieer)
UTAS Author:Meiners, KM (Dr Klaus Meiners)
UTAS Author:Castrisios, K (Miss Katerina Castrisios)
UTAS Author:Martin, A (Dr Andrew Martin)
UTAS Author:Kennedy, F (Dr Fraser Kennedy)
UTAS Author:Lucieer, A (Professor Arko Lucieer)
ID Code:142129
Year Published:2020
Funding Support:Australian Research Council (SR200100008)
Web of Science® Times Cited:1
Deposited By:Ecology and Biodiversity
Deposited On:2020-12-15
Last Modified:2021-02-23
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