Retrieval of Phytoplankton Pigments from Underway Spectrophotometry in the Fram Strait
Phytoplankton in the ocean are extremely diverse. The abundance of various intracellular pigments are often used to study phytoplankton physiology and ecology, and identify and quantify different phytoplankton groups. In this study, phytoplankton absorption spectra ( a p h ( λ ) ) derived from under...
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ftmdpi:oai:mdpi.com:/2072-4292/11/3/318/ 2023-08-20T04:06:36+02:00 Retrieval of Phytoplankton Pigments from Underway Spectrophotometry in the Fram Strait Yangyang Liu Emmanuel Boss Alison Chase Hongyan Xi Xiaodong Zhang Rüdiger Röttgers Yanqun Pan Astrid Bracher agris 2019-02-06 application/pdf https://doi.org/10.3390/rs11030318 EN eng Multidisciplinary Digital Publishing Institute Ocean Remote Sensing https://dx.doi.org/10.3390/rs11030318 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 11; Issue 3; Pages: 318 phytoplankton pigments phytoplankton absorption underway AC-S flow-through system Gaussian decomposition matrix inversion singular value decomposition non-negative least squares Text 2019 ftmdpi https://doi.org/10.3390/rs11030318 2023-07-31T22:01:31Z Phytoplankton in the ocean are extremely diverse. The abundance of various intracellular pigments are often used to study phytoplankton physiology and ecology, and identify and quantify different phytoplankton groups. In this study, phytoplankton absorption spectra ( a p h ( λ ) ) derived from underway flow-through AC-S measurements in the Fram Strait are combined with phytoplankton pigment measurements analyzed by high-performance liquid chromatography (HPLC) to evaluate the retrieval of various pigment concentrations at high spatial resolution. The performances of two approaches, Gaussian decomposition and the matrix inversion technique are investigated and compared. Our study is the first to apply the matrix inversion technique to underway spectrophotometry data. We find that Gaussian decomposition provides good estimates (median absolute percentage error, MPE 21–34%) of total chlorophyll-a (TChl-a), total chlorophyll-b (TChl-b), the combination of chlorophyll-c1 and -c2 (Chl-c1/2), photoprotective (PPC) and photosynthetic carotenoids (PSC). This method outperformed one of the matrix inversion algorithms, i.e., singular value decomposition combined with non-negative least squares (SVD-NNLS), in retrieving TChl-b, Chl-c1/2, PSC, and PPC. However, SVD-NNLS enables robust retrievals of specific carotenoids (MPE 37–65%), i.e., fucoxanthin, diadinoxanthin and 19 ′ -hexanoyloxyfucoxanthin, which is currently not accomplished by Gaussian decomposition. More robust predictions are obtained using the Gaussian decomposition method when the observed a p h ( λ ) is normalized by the package effect index at 675 nm. The latter is determined as a function of “packaged” a p h ( 675 ) and TChl-a concentration, which shows potential for improving pigment retrieval accuracy by the combined use of a p h ( λ ) and TChl-a concentration data. To generate robust estimation statistics for the matrix inversion technique, we combine leave-one-out cross-validation with data perturbations. We find that both approaches provide useful ... Text Fram Strait MDPI Open Access Publishing Remote Sensing 11 3 318 |
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Open Polar |
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MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
phytoplankton pigments phytoplankton absorption underway AC-S flow-through system Gaussian decomposition matrix inversion singular value decomposition non-negative least squares |
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phytoplankton pigments phytoplankton absorption underway AC-S flow-through system Gaussian decomposition matrix inversion singular value decomposition non-negative least squares Yangyang Liu Emmanuel Boss Alison Chase Hongyan Xi Xiaodong Zhang Rüdiger Röttgers Yanqun Pan Astrid Bracher Retrieval of Phytoplankton Pigments from Underway Spectrophotometry in the Fram Strait |
topic_facet |
phytoplankton pigments phytoplankton absorption underway AC-S flow-through system Gaussian decomposition matrix inversion singular value decomposition non-negative least squares |
description |
Phytoplankton in the ocean are extremely diverse. The abundance of various intracellular pigments are often used to study phytoplankton physiology and ecology, and identify and quantify different phytoplankton groups. In this study, phytoplankton absorption spectra ( a p h ( λ ) ) derived from underway flow-through AC-S measurements in the Fram Strait are combined with phytoplankton pigment measurements analyzed by high-performance liquid chromatography (HPLC) to evaluate the retrieval of various pigment concentrations at high spatial resolution. The performances of two approaches, Gaussian decomposition and the matrix inversion technique are investigated and compared. Our study is the first to apply the matrix inversion technique to underway spectrophotometry data. We find that Gaussian decomposition provides good estimates (median absolute percentage error, MPE 21–34%) of total chlorophyll-a (TChl-a), total chlorophyll-b (TChl-b), the combination of chlorophyll-c1 and -c2 (Chl-c1/2), photoprotective (PPC) and photosynthetic carotenoids (PSC). This method outperformed one of the matrix inversion algorithms, i.e., singular value decomposition combined with non-negative least squares (SVD-NNLS), in retrieving TChl-b, Chl-c1/2, PSC, and PPC. However, SVD-NNLS enables robust retrievals of specific carotenoids (MPE 37–65%), i.e., fucoxanthin, diadinoxanthin and 19 ′ -hexanoyloxyfucoxanthin, which is currently not accomplished by Gaussian decomposition. More robust predictions are obtained using the Gaussian decomposition method when the observed a p h ( λ ) is normalized by the package effect index at 675 nm. The latter is determined as a function of “packaged” a p h ( 675 ) and TChl-a concentration, which shows potential for improving pigment retrieval accuracy by the combined use of a p h ( λ ) and TChl-a concentration data. To generate robust estimation statistics for the matrix inversion technique, we combine leave-one-out cross-validation with data perturbations. We find that both approaches provide useful ... |
format |
Text |
author |
Yangyang Liu Emmanuel Boss Alison Chase Hongyan Xi Xiaodong Zhang Rüdiger Röttgers Yanqun Pan Astrid Bracher |
author_facet |
Yangyang Liu Emmanuel Boss Alison Chase Hongyan Xi Xiaodong Zhang Rüdiger Röttgers Yanqun Pan Astrid Bracher |
author_sort |
Yangyang Liu |
title |
Retrieval of Phytoplankton Pigments from Underway Spectrophotometry in the Fram Strait |
title_short |
Retrieval of Phytoplankton Pigments from Underway Spectrophotometry in the Fram Strait |
title_full |
Retrieval of Phytoplankton Pigments from Underway Spectrophotometry in the Fram Strait |
title_fullStr |
Retrieval of Phytoplankton Pigments from Underway Spectrophotometry in the Fram Strait |
title_full_unstemmed |
Retrieval of Phytoplankton Pigments from Underway Spectrophotometry in the Fram Strait |
title_sort |
retrieval of phytoplankton pigments from underway spectrophotometry in the fram strait |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2019 |
url |
https://doi.org/10.3390/rs11030318 |
op_coverage |
agris |
genre |
Fram Strait |
genre_facet |
Fram Strait |
op_source |
Remote Sensing; Volume 11; Issue 3; Pages: 318 |
op_relation |
Ocean Remote Sensing https://dx.doi.org/10.3390/rs11030318 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs11030318 |
container_title |
Remote Sensing |
container_volume |
11 |
container_issue |
3 |
container_start_page |
318 |
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1774717819221442560 |