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Provedor de dados:  ArchiMer
País:  France
Título:  Multivariate approach for the retrieval of phytoplankton size structure from measured light absorption spectra in the Mediterranean Sea (BOUSSOLE site)
Autores:  Organelli, Emanuele
Bricaud, Annick
Antoine, David
Uitz, Julia
Data:  2013-04
Ano:  2013
Resumo:  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.
Tipo:  Text
Idioma:  Inglês
Identificador:  http://archimer.ifremer.fr/doc/00185/29655/28031.pdf

DOI:http://dx.doi.org/10.1364/AO.52.002257

http://archimer.ifremer.fr/doc/00185/29655/
Editor:  Optical Soc Amer
Formato:  application/pdf
Fonte:  Applied Optics (1559-128X) (Optical Soc Amer), 2013-04 , Vol. 52 , N. 11 , P. 2257-2273
Direitos:  2013 Optical Society of America

info:eu-repo/semantics/openAccess

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