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 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 (R2 ≤ 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.
Funding
Australian Research Council
Australian National University
Curtin University
University of Canberra
University of Melbourne
University of New South Wales
University of South Australia
University of Western Australia
History
Publication title
Scientific ReportsVolume
10Article number
21848Number
21848Pagination
1-17ISSN
2045-2322Department/School
School of Geography, Planning and Spatial SciencesPublisher
Nature Publishing GroupPlace of publication
United KingdomRights statement
Copyright 2020 The Authors Tis article is licensed under a Creative Commons Attribution 4.0 International LicenseRepository Status
- Open