Synergistic exploitation of hyper- and multispectral precursor Sentinel measurements to determine Phytoplankton Functional Types (SynSenPFT)

Type : ACL
Nature : Production scientifique
Au bénéfice du Laboratoire : Oui
Statut de publication : Publié
Année de publication : 2017
Auteurs (11) : LOSA Svetlana,n SOPPA M DINTER T WOLANIN Aleksandra BREWIN Robert,j,w BRICAUD Annick OELKER Julia PEEKEN Ilka GENTILI Bernard ROZANOV V BRACHER Astrid
Revue scientifique : Frontiers in Marine Science
Volume : 4
Fascicule :
Pages :
DOI : 10.3389/fmars.2017.00203
URL : -
Abstract : We derive the chlorophyll a concentration (Chla) for three main phytoplankton functional types
(PFTs) – diatoms, coccolithophores and cyanobacteria – by combining satellite multispectralbased
information, being of a high spatial and temporal resolution, with retrievals based on
high resolution of PFT absorption properties derived from hyperspectral satellite measurements.
The multispectral-based PFT Chla retrievals are based on a revised version of the empirical OC-PFT algorithm applied to the Ocean Colour Climate Change Initiative (OC-CCI) total Chla product. The PhytoDOAS analytical algorithm is used with some modifications to derive PFT Chla from SCIAMACHY hyperspectral measurements. To combine synergistically these two PFT products (OC-PFT and PhytoDOAS), an optimal interpolation is performed for each PFT in every OC-PFT sub-pixel within a PhytoDOAS pixel, given its Chla and its a priori error statistics. The synergistic product (SynSenPFT) is presented for the period of August 2002 – March 2012 and evaluated against PFT Chla data obtained from in situ marker pigment data and the NASA Ocean Biogeochemical Model simulations and satellite information on phytoplankton size. The most challenging aspects of the SynSenPFT algorithm implementation are discussed. Perspectives on SynSenPFT product improvements and prolongation of the time series over the next decades by adaptation to Sentinel multi- and hyperspectral instruments are highlighted.
Mots-clés : Synergistic, sentinel, Phytoplankton functional type, hyperspectral, multispectral, Satellite retrievals
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Citation :
Losa SN, Soppa M, Dinter T, Wolanin A, Brewin RJW, Bricaud A, Oelker J, Peeken I, Gentili B, Rozanov V, Bracher A (2017) Synergistic exploitation of hyper- and multispectral precursor Sentinel measurements to determine Phytoplankton Functional Types (SynSenPFT). Front Mar Sci 4 | doi: 10.3389/fmars.2017.00203