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


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, 58, (75 pt1) pp. 68-77. ISSN 0260-3055 (2017) [Refereed Article]


Copyright Statement

Copyright 2017 The Author. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0)

DOI: doi:10.1017/aog.2017.6


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:sea ice, Antarctica, hyperspectral imaging, remote sensing, ice algae, ice tank, under-ice environment
Research Division:Engineering
Research Group:Geomatic engineering
Research Field:Photogrammetry and remote sensing
Objective Division:Environmental Management
Objective Group:Coastal and estuarine systems and management
Objective Field:Assessment and management of coastal and estuarine ecosystems
UTAS Author:Cimoli, E (Dr Emiliano Cimoli)
UTAS Author:Lucieer, A (Professor Arko Lucieer)
UTAS Author:Meiners, KM (Dr Klaus Meiners)
UTAS Author:Kennedy, F (Dr Fraser Kennedy)
UTAS Author:Martin, A (Dr Andrew Martin)
UTAS Author:McMinn, A (Professor Andrew McMinn)
UTAS Author:Lucieer, V (Associate Professor Vanessa Lucieer)
ID Code:116484
Year Published:2017
Web of Science® Times Cited:10
Deposited By:Ecology and Biodiversity
Deposited On:2017-05-10
Last Modified:2022-08-23
Downloads:157 View Download Statistics

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