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Towards improved estimates of sea-ice algal biomass: experimental assessment of hyperspectral imaging cameras for under-ice studies

Citation

Cimoli, E and Lucieer, A and Meiners, KM and Lund-Hansen, LC and Kennedy, F and Martin, A and McMinn, A and Lucieer, V, Towards improved estimates of sea-ice algal biomass: experimental assessment of hyperspectral imaging cameras for under-ice studies, Annals of Glaciology pp. 1-10. ISSN 0260-3055 (2017) [Refereed Article]


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Copyright 2017 The Author. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/

DOI: doi:10.1017/aog.2017.6

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 Details

Item Type:Refereed Article
Keywords:seaice, Antarctica, hyperspectral imaging, remote sensing
Research Division:Engineering
Research Group:Geomatic Engineering
Research Field:Photogrammetry and Remote Sensing
Objective Division:Environment
Objective Group:Ecosystem Assessment and Management
Objective Field:Ecosystem Assessment and Management of Antarctic and Sub-Antarctic Environments
Author:Cimoli, E (Mr Emiliano Cimoli)
Author:Lucieer, A (Associate Professor Arko Lucieer)
Author:Meiners, KM (Dr Klaus Meiners)
Author:Kennedy, F (Mr Fraser Kennedy)
Author:Martin, A (Dr Andrew Martin)
Author:McMinn, A (Professor Andrew McMinn)
Author:Lucieer, V (Dr Vanessa Lucieer)
ID Code:116484
Year Published:2017
Deposited By:Centre for Ecology and Biodiversity
Deposited On:2017-05-10
Last Modified:2017-06-29
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