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Abstract

Ice algae are a key component in polar marine food webs and have an active role in large-scale biogeochemical cycles. They remain extremely under-sampled due to the coarse nature of traditional point sampling methods compounded by the general logistical limitations of surveying in polar regions. This study provides a first assessment of hyperspectral imaging as an under-ice remote-sensing method to capture sea-ice algae biomass spatial variability at the ice/water interface. Ice-algal cultures were inoculated in a unique inverted sea-ice simulation tank at increasing concentrations over designated cylinder enclosures and sparsely across the ice/water interface. Hyperspectral images of the sea ice were acquired with a pushbroom sensor attaining 0.9 mm square pixel spatial resolution for three different spectral resolutions (1.7, 3.4, 6.7 nm). Image analysis revealed biomass distribution matching the inoculated chlorophyll a concentrations within each cylinder. While spectral resolutions >6 nm hindered biomass differentiation, 1.7 and 3.4 nm were able to resolve spatial variation in ice algal biomass implying a coherent sensor selection. The inverted ice tank provided a suitable sea-ice analogue platform for testing key parameters of the methodology. The results highlight the potential of hyperspectral imaging to capture sea-ice algal biomass variability at unprecedented scales in a non-invasive way.

Item Type:	Article
Authors/Creators:	Cimoli, E and Lucieer, A and Meiners, KM and Lund-Hansen, LC and Kennedy, FC and Martin, A and McMinn, A and Lucieer, V
Keywords:	sea ice, Antarctica, hyperspectral imaging, remote sensing, ice algae, ice tank, under-ice environment
Journal or Publication Title:	Annals of Glaciology
Publisher:	Int Glaciol Soc
ISSN:	0260-3055
DOI / ID Number:	https://doi.org/10.1017/aog.2017.6
Copyright Information:	Copyright 2017 The Author. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/
Related URLs:	Google Scholar: Lucieer, A UTAS Profile: Lucieer, A Google Scholar: Martin, A UTAS Profile: Martin, A Google Scholar: McMinn, A UTAS Profile: McMinn, A Google Scholar: Lucieer, V UTAS Profile: Lucieer, V
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