Regional algorithms for the estimation of chlorophyll and suspended matter concentration in the Gulf of Finland from MODIS-Aqua satellite data**This work was funded by the Russian Government (grant No. 11.G34.31.0078) for research under the supervision of the leading scientist at the Russian State Hydrometeorological University. | Zendy

Svetlana Vazyulya | Zendy; А. Н. Храпко | Zendy; О. В. Копелевич | Zendy; Vladimir I. Burenkov | Zendy; Tatjana Eremina | Zendy; Alexey Isaev | Zendy

Open Access

Regional algorithms for the estimation of chlorophyll and suspended matter concentration in the Gulf of Finland from MODIS-Aqua satellite data**This work was funded by the Russian Government (grant No. 11.G34.31.0078) for research under the supervision of the leading scientist at the Russian State Hydrometeorological University.

Author(s) -

Svetlana Vazyulya,

А. Н. Храпко,

О. В. Копелевич,

Vladimir I. Burenkov,

Tatjana Eremina,

Alexey Isaev

Publication year - 2014

Publication title -

oceanologia

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.741

H-Index - 42

eISSN - 2300-7370

pISSN - 0078-3234

DOI - 10.5697/oc.56-4.737

Subject(s) - satellite , atmospheric correction , environmental science , chlorophyll a , algorithm , ocean color , remote sensing , seawifs , meteorology , phytoplankton , mathematics , geography , physics , chemistry , biochemistry , astronomy , organic chemistry , nutrient

Validation of algorithms for the retrieval of concentrations of chlorophyll (Chl) and total suspended matter (TSM) in the Gulf of Finland from satellite ocean colour data was carried out using field measurement data from summer 2012 and 2013. These data included spectral values of the remote sensing reflectance Rrs(λ), Chl and TSM concentrations. Testing of the existing algorithms (OC4v4, OC3M, and the Baltic regional algorithms developed by Polish specialists) showed that all of them overestimated Chl several times. The new regional algorithms were developed on the basis of measured values of Rrs(λ), Chl and TSM (40 stations in total). Direct comparison of Chl and TSM values, obtained from MODISAqua data with the algorithms developed here, with their in situ values showed reasonable agreement. The spatial distributions of Chl and TSM concentrations were constructed from MODIS-Aqua data. Errors of the atmospheric correction were analysed

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