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Organelli, E, Nuccio, C, Lazzara, L, Uitz, J, Bricaud, A and Massi, L 2017 On the discrimination of multiple phytoplankton groups from light absorption spectra of assemblages with mixed taxonomic composition and variable light conditions. Applied Optics, 56 (14). 3952-3968. https://doi.org/10.1364/AO.56.003952
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Postprint_OrganelliAO2017.pdf - Accepted Version Available under License Creative Commons Attribution Non-commercial. Download (2MB) | Preview |
Abstract/Summary
According to recommendations of the international community of phytoplankton functional type algorithm developers, a set of experiments on marine algal cultures was conducted to (1) investigate uncertainties and limits in phytoplankton group discrimination from hyperspectral light absorption properties of assemblages with mixed taxonomic composition, and (2) evaluate the extent to which modifications of the absorption spectral features due to variable light conditions affect the optical discrimination of phytoplankton. Results showed that spectral absorption signatures of multiple species can be extracted from mixed assemblages, even at low relative contributions. Errors in retrieved pigment abundances are, however, influenced by the co-occurrence of species with similar spectral features. Plasticity of absorption spectra due to changes in light conditions weakly affects interspecific differences, with errors <21% for retrievals of pigment concentrations from mixed assemblages.
| Item Type: | Publication - Article |
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| Additional Information. Not used in RCUK Gateway to Research.: | © 2017 Optical Society of America. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modifications of the content of this paper are prohibited. |
| Additional Keywords: | phytoplankton functional types, hyperspectral light absorption, algal pigments |
| Subjects: | Earth Observation - Remote Sensing Marine Sciences Oceanography |
| Divisions: | Plymouth Marine Laboratory > Science Areas > Earth Observation Science and Applications |
| Depositing User: | Dr E Organelli |
| Date made live: | 17 Jan 2018 16:39 |
| Last Modified: | 25 Apr 2020 09:58 |
| URI: | https://plymsea.ac.uk/id/eprint/7464 |
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