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    Multivariate approach for the retrieval of phytoplankton size structure from measured light absorption spectra in the Mediterranean Sea (BOUSSOLE site)

    200343_96171_Multivariate_approach_for_the_retrieval_of_phytoplankton.pdf (2.039Mb)
    Access Status
    Open access
    Authors
    Organelli, E.
    Bricaud, A.
    Antoine, David
    Uitz, J.
    Date
    2013
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Organelli, E. and Bricaud, A. and Antoine, D. and Uitz, J. 2013. Multivariate approach for the retrieval of phytoplankton size structure from measured light absorption spectra in the Mediterranean Sea (BOUSSOLE site). Applied Optics. 52: pp. 2257-2273.
    Source Title
    Applied Optics
    DOI
    10.1364/AO.52.002257
    ISSN
    0003-6935
    Remarks

    This paper was published in Applied Optics and is made available as an electronic reprint with the permission of OSA. The paper can be found at the following URL on the OSA website: http://www.opticsinfobase.org/ao/abstract.cfm?uri=ao-52-11-2257. Systematic or multiple reproduction or distribution to multiple locations via electronic or other means is prohibited and is subject to penalties under law.

    URI
    http://hdl.handle.net/20.500.11937/7931
    Collection
    • Curtin Research Publications
    Abstract

    Models based on the multivariate partial least squares (PLS) regression technique are developed for the retrieval of phytoplankton size structure from measured light absorption spectra (BOUSSOLE site, northwestern Mediterranean Sea). PLS-models trained with data from the Mediterranean Sea showed good accuracy in retrieving, over the nine-year BOUSSOLE time series, the concentrations of total chlorophyll a [Tchl a], of the sum of seven diagnostic pigments and of pigments associated with micro, nano, and picophytoplankton size classes separately. PLS-models trained using either total particle orphytoplankton absorption spectra performed similarly, and both reproduced seasonal variations of biomass and size classes derived by high performance liquid chromatography. Satisfactory retrievals were also obtained using PLS-models trained with a data set including various locations of the world’s oceans, with however a lower accuracy. These results open the way to an application of this method to absorption spectra derived from hyperspectral and field satellite radiance measurements.

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