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

Type Article
Date 2013-04
Language English
Author(s) Organelli Emanuele1, Bricaud Annick, Antoine David, Uitz Julia
Affiliation(s) 1 : CNRS, Lab Oceanog Villefranche, UMR 7093, F-06238 Villefranche Sur Mer, France.
2 : Univ Paris 06, F-06238 Villefranche Sur Mer, France.
Source Applied Optics (1559-128X) (Optical Soc Amer), 2013-04 , Vol. 52 , N. 11 , P. 2257-2273
DOI http://dx.doi.org/10.1364/AO.52.002257
WOS© Times Cited 47
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 or phytoplankton 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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