Zoeken
Zoeken kan via de modus 'eenvoudig zoeken' (één veld) of uitgebreid via 'geavanceerd zoeken' (meerdere velden). Zo kan je bv. zoeken op een combinatie van een auteursnaam (auteur), een jaartal (jaar) en een documenttype.
Boekenmand
Nuttige resultaten kan je aanvinken en toevoegen aan een mandje. De inhoud hiervan kan je exporteren of afdrukken (naar bv. PDF).
RSS
Op de hoogte blijven van nieuw toegevoegde publicaties binnen uw interessegebied? Dit kan door een RSS-feed (?) te maken van jouw zoekopdracht.
nieuwe zoekopdracht
Mapping the in situ microspatial distribution of ice algal biomass through hyperspectral imaging of sea-ice cores
Cimoli, E.; Lucieer, V.; Meiners, K.M.; Chennu, A.; Castrisios, K.; Ryan, K.G.; Lund-Hansen, L.C.; Martin, A.; Kennedy, F.; Lucieer, A. (2020). Mapping the in situ microspatial distribution of ice algal biomass through hyperspectral imaging of sea-ice cores. NPG Scientific Reports 10(1). https://dx.doi.org/10.1038/s41598-020-79084-6
In: Scientific Reports (Nature Publishing Group). Nature Publishing Group: London. ISSN 2045-2322; e-ISSN 2045-2322
|   |
| Auteurs | | Top |
- Cimoli, E.
- Lucieer, V.
- Meiners, K.M.
- Chennu, A.
|
- Castrisios, K.
- Ryan, K.G.
- Lund-Hansen, L.C.
|
- Martin, A.
- Kennedy, F.
- Lucieer, A.
|
| Abstract |
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. |
IMIS is ontwikkeld en wordt gehost door het VLIZ.
