Remote sensing of phytoplankton groups in case 1 waters from global SeaWiFS imagery

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Title: Remote sensing of phytoplankton groups in case 1 waters from global SeaWiFS imagery
Authors: Alvain, S.1, Moulin, C.1 cyril.moulin@cea.fr, Dandonneau, Y.2, Bréon, F.M.1
Source: Deep-Sea Research Part I, Oceanographic Research Papers. Nov2005, Vol. 52 Issue 11, p1989-2004. 16p.
Subjects: Phytoplankton, Optical oceanography, Remote sensing, Detectors
Abstract: Abstract: Ocean color sensors enable a quasi-permanent monitoring of the chlorophyll a concentration (Chl a) in surface waters. This ubiquitous photosynthetic pigment cannot, however, be used to distinguish between phytoplankton species. Distinguishing phytoplankton groups from space is nevertheless necessary to better study some biochemical processes such as carbon fixation at the global scale, and is thus one of the major challenges of ocean color research. In situ data have shown that the water-leaving radiances (nLw), measured by ocean color sensors at different wavelengths in the visible spectrum, vary significantly for a given Chl a. This natural variability is due partly to differences in optical properties of phytoplankton species. Here, we derive relationships between nLw and phytoplankton species by using a large set of quantitative inventories of phytoplankton pigments collected during nine cruises from Le Havre (France) to Nouméa (New Caledonia) in the framework of the GeP&CO program. Coincident SeaWiFS nLw data between 412 and 555nm are extracted and normalized to remove the effect of Chl a. These normalized spectra vary significantly with in situ pigment composition, so that four major phytoplankton groups, i.e., haptophytes, Prochlorococcus, Synechococcus-like cyanobacteria and diatoms, can be distinguished. This classification (PHYSAT) is applied to the global SeaWiFS dataset for year 2001, and global maps of phytoplankton groups are presented. Haptophytes and diatoms are found mostly in high latitudes and in eutrophic regions. Diatoms show a strong seasonal cycle with large-scale blooms during spring and summer. These results, obtained with only five channels in the visible spectrum, demonstrate that ocean color measurements can be used to discriminate between dominant phytoplankton groups provided that sufficient data are available to establish the necessary empirical relationships. [Copyright &y& Elsevier]
Copyright of Deep-Sea Research Part I, Oceanographic Research Papers is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Remote sensing of phytoplankton groups in case 1 waters from global SeaWiFS imagery
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  Data: <searchLink fieldCode="JN" term="%22Deep-Sea+Research+Part+I%2C+Oceanographic+Research+Papers%22">Deep-Sea Research Part I, Oceanographic Research Papers</searchLink>. Nov2005, Vol. 52 Issue 11, p1989-2004. 16p.
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  Data: Abstract: Ocean color sensors enable a quasi-permanent monitoring of the chlorophyll a concentration (Chl a) in surface waters. This ubiquitous photosynthetic pigment cannot, however, be used to distinguish between phytoplankton species. Distinguishing phytoplankton groups from space is nevertheless necessary to better study some biochemical processes such as carbon fixation at the global scale, and is thus one of the major challenges of ocean color research. In situ data have shown that the water-leaving radiances (nLw), measured by ocean color sensors at different wavelengths in the visible spectrum, vary significantly for a given Chl a. This natural variability is due partly to differences in optical properties of phytoplankton species. Here, we derive relationships between nLw and phytoplankton species by using a large set of quantitative inventories of phytoplankton pigments collected during nine cruises from Le Havre (France) to Nouméa (New Caledonia) in the framework of the GeP&CO program. Coincident SeaWiFS nLw data between 412 and 555nm are extracted and normalized to remove the effect of Chl a. These normalized spectra vary significantly with in situ pigment composition, so that four major phytoplankton groups, i.e., haptophytes, Prochlorococcus, Synechococcus-like cyanobacteria and diatoms, can be distinguished. This classification (PHYSAT) is applied to the global SeaWiFS dataset for year 2001, and global maps of phytoplankton groups are presented. Haptophytes and diatoms are found mostly in high latitudes and in eutrophic regions. Diatoms show a strong seasonal cycle with large-scale blooms during spring and summer. These results, obtained with only five channels in the visible spectrum, demonstrate that ocean color measurements can be used to discriminate between dominant phytoplankton groups provided that sufficient data are available to establish the necessary empirical relationships. [Copyright &y& Elsevier]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Deep-Sea Research Part I, Oceanographic Research Papers is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.dsr.2005.06.015
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        Text: English
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      – SubjectFull: Optical oceanography
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      – TitleFull: Remote sensing of phytoplankton groups in case 1 waters from global SeaWiFS imagery
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              Text: Nov2005
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