Mapping the in situ microspatial distribution of ice algal biomass through hyperspectral imaging of sea-ice cores
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 tha...
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ftpubman:oai:pure.mpg.de:item_3279214 2023-08-27T04:11:54+02:00 Mapping the in situ microspatial distribution of ice algal biomass through hyperspectral imaging of sea-ice cores Cimoli, E. Lucieer, V. Meiners, K. Chennu, A. Castrisios, K. Ryan, K. Lund-Hansen, L. Martin, A. Kennedy, F. Lucieer, A. 2020-12-14 application/pdf http://hdl.handle.net/21.11116/0000-0007-CCB8-4 http://hdl.handle.net/21.11116/0000-0007-CCBA-2 eng eng info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-020-79084-6 http://hdl.handle.net/21.11116/0000-0007-CCB8-4 http://hdl.handle.net/21.11116/0000-0007-CCBA-2 info:eu-repo/semantics/openAccess Scientific Reports info:eu-repo/semantics/article 2020 ftpubman https://doi.org/10.1038/s41598-020-79084-6 2023-08-02T00:27:24Z 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 (R-2 <= 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. Article in Journal/Newspaper Sea ice Max Planck Society: MPG.PuRe Scientific Reports 10 1 |
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Open Polar |
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Max Planck Society: MPG.PuRe |
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ftpubman |
language |
English |
description |
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 (R-2 <= 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. |
format |
Article in Journal/Newspaper |
author |
Cimoli, E. Lucieer, V. Meiners, K. Chennu, A. Castrisios, K. Ryan, K. Lund-Hansen, L. Martin, A. Kennedy, F. Lucieer, A. |
spellingShingle |
Cimoli, E. Lucieer, V. Meiners, K. Chennu, A. Castrisios, K. Ryan, K. Lund-Hansen, L. Martin, A. Kennedy, F. Lucieer, A. Mapping the in situ microspatial distribution of ice algal biomass through hyperspectral imaging of sea-ice cores |
author_facet |
Cimoli, E. Lucieer, V. Meiners, K. Chennu, A. Castrisios, K. Ryan, K. Lund-Hansen, L. Martin, A. Kennedy, F. Lucieer, A. |
author_sort |
Cimoli, E. |
title |
Mapping the in situ microspatial distribution of ice algal biomass through hyperspectral imaging of sea-ice cores |
title_short |
Mapping the in situ microspatial distribution of ice algal biomass through hyperspectral imaging of sea-ice cores |
title_full |
Mapping the in situ microspatial distribution of ice algal biomass through hyperspectral imaging of sea-ice cores |
title_fullStr |
Mapping the in situ microspatial distribution of ice algal biomass through hyperspectral imaging of sea-ice cores |
title_full_unstemmed |
Mapping the in situ microspatial distribution of ice algal biomass through hyperspectral imaging of sea-ice cores |
title_sort |
mapping the in situ microspatial distribution of ice algal biomass through hyperspectral imaging of sea-ice cores |
publishDate |
2020 |
url |
http://hdl.handle.net/21.11116/0000-0007-CCB8-4 http://hdl.handle.net/21.11116/0000-0007-CCBA-2 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
Scientific Reports |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-020-79084-6 http://hdl.handle.net/21.11116/0000-0007-CCB8-4 http://hdl.handle.net/21.11116/0000-0007-CCBA-2 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1038/s41598-020-79084-6 |
container_title |
Scientific Reports |
container_volume |
10 |
container_issue |
1 |
_version_ |
1775355557353357312 |