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Titel |
Determination of phytoplankton groups from space: application to senegalo-mauritanean upwelling |
VerfasserIn |
Yala Khalil, Julien Brajard, Michel Crépon, Eric Machu, Ndeye Niang |
Konferenz |
EGU General Assembly 2016
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Medientyp |
Artikel
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Sprache |
en
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Digitales Dokument |
PDF |
Erschienen |
In: GRA - Volume 18 (2016) |
Datensatznummer |
250134380
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Publikation (Nr.) |
EGU/EGU2016-15098.pdf |
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Zusammenfassung |
Phytoplankton groups can be estimated from ocean color spectral satellite observations using
a clustering algorithm combined with in-situ measurements of pigment concentration such as
PHYSAT. This algorithm (http://log.univ-littoral.fr/Physat) gives global maps of
dominant groups for the last ocean color satellite sensor observing periods (MODIS,
SeaWiFS).
For specific regional studies, especially in very productive regions such as the
Senegalo-Mauritanian upwelling, it has been shown that the standard algorithm can present
some limitations. First, PHYSAT in its published version uses thresholds on the chlorophyll-a
concentration and aerosol optical thickness values to guaranty a “high-quality” estimation of
the water-leaving reflectance and of the related chlorophyll-a. Second, since PHYSAT is
based on mean water-leaving reflectance spectra (Ra) normalized by classes of chlorophyll-a
concentration (Ra*spectra), the algorithm must be insensitive to some small regional
variation of this parameter.
A regional PHYSAT-like algorithm was applied to the Senegal coast to overcome these
difficulties. First, a specific atmospheric correction algorithm was applied to the satellite
measurements to produce accurate water-leaving reflectances under Saharan dusts. Artificial
neural network (Multilayer perceptrons) was used to estimate the chlorophyll-a concentration
from the water-leaving reflectance. Then a clustering algorithm based on Self-organizing map
was used to classify the spectral information (Ra,Ra*) spectra measured by the
satellite. It has been shown that this new regional PHYSAT algorithm gives coherent
spatial patches of Ra*. Based on expertise acquired in others ocean area, these
patches could be associated with phytoplankton groups such as diatoms. In situ
measurements of secondary pigments were conducted in the framework of the UPSEN
campaigns (2012 and 2013) and were used to validate this approach. We show
that these in-situ measurement are coherent with the remote sensing approach. |
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