Towards improved estimates of sea-ice algal biomass: experimental assessment of hyperspectral imaging cameras for under-ice studies
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. Thi...
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Online Access: | https://doi.org/10.1017/aog.2017.6 http://ecite.utas.edu.au/116484 |
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ftunivtasecite:oai:ecite.utas.edu.au:116484 2023-05-15T13:29:47+02:00 Towards improved estimates of sea-ice algal biomass: experimental assessment of hyperspectral imaging cameras for under-ice studies Cimoli, E Lucieer, A Meiners, KM Lund-Hansen, LC Kennedy, F Martin, A McMinn, A Lucieer, V 2017 application/pdf https://doi.org/10.1017/aog.2017.6 http://ecite.utas.edu.au/116484 en eng Int Glaciol Soc http://ecite.utas.edu.au/116484/2/116484 final.pdf http://dx.doi.org/10.1017/aog.2017.6 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] http://ecite.utas.edu.au/116484 Engineering Geomatic engineering Photogrammetry and remote sensing Refereed Article PeerReviewed 2017 ftunivtasecite https://doi.org/10.1017/aog.2017.6 2022-08-29T22:17:02Z 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. Article in Journal/Newspaper Annals of Glaciology ice algae Sea ice eCite UTAS (University of Tasmania) Annals of Glaciology 58 75pt1 68 77 |
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Open Polar |
collection |
eCite UTAS (University of Tasmania) |
op_collection_id |
ftunivtasecite |
language |
English |
topic |
Engineering Geomatic engineering Photogrammetry and remote sensing |
spellingShingle |
Engineering Geomatic engineering Photogrammetry and remote sensing Cimoli, E Lucieer, A Meiners, KM Lund-Hansen, LC Kennedy, F Martin, A McMinn, A Lucieer, V Towards improved estimates of sea-ice algal biomass: experimental assessment of hyperspectral imaging cameras for under-ice studies |
topic_facet |
Engineering Geomatic engineering Photogrammetry and remote sensing |
description |
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. |
format |
Article in Journal/Newspaper |
author |
Cimoli, E Lucieer, A Meiners, KM Lund-Hansen, LC Kennedy, F Martin, A McMinn, A Lucieer, V |
author_facet |
Cimoli, E Lucieer, A Meiners, KM Lund-Hansen, LC Kennedy, F Martin, A McMinn, A Lucieer, V |
author_sort |
Cimoli, E |
title |
Towards improved estimates of sea-ice algal biomass: experimental assessment of hyperspectral imaging cameras for under-ice studies |
title_short |
Towards improved estimates of sea-ice algal biomass: experimental assessment of hyperspectral imaging cameras for under-ice studies |
title_full |
Towards improved estimates of sea-ice algal biomass: experimental assessment of hyperspectral imaging cameras for under-ice studies |
title_fullStr |
Towards improved estimates of sea-ice algal biomass: experimental assessment of hyperspectral imaging cameras for under-ice studies |
title_full_unstemmed |
Towards improved estimates of sea-ice algal biomass: experimental assessment of hyperspectral imaging cameras for under-ice studies |
title_sort |
towards improved estimates of sea-ice algal biomass: experimental assessment of hyperspectral imaging cameras for under-ice studies |
publisher |
Int Glaciol Soc |
publishDate |
2017 |
url |
https://doi.org/10.1017/aog.2017.6 http://ecite.utas.edu.au/116484 |
genre |
Annals of Glaciology ice algae Sea ice |
genre_facet |
Annals of Glaciology ice algae Sea ice |
op_relation |
http://ecite.utas.edu.au/116484/2/116484 final.pdf http://dx.doi.org/10.1017/aog.2017.6 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] http://ecite.utas.edu.au/116484 |
op_doi |
https://doi.org/10.1017/aog.2017.6 |
container_title |
Annals of Glaciology |
container_volume |
58 |
container_issue |
75pt1 |
container_start_page |
68 |
op_container_end_page |
77 |
_version_ |
1766003046518620160 |