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Journal of Plankton Research Vol.24 no.9 pp.947-951, 2002
© Oxford University Press 2002

A chlorophyll-retrieval algorithm for satellite imagery (Medium Resolution Imaging Spectrometer) of inland and coastal waters

Herman J. Gons*, Machteld Rijkeboer1,3 and Kevin G. Ruddick2

Netherlands Institute of Ecology, (Nioo-Knaw) Centre for Limnology, Rijksstraatweg 6, Nieuwersluis, Po Box 1299, 3600 Bg Maarssen, 1 Institute for Environmental Studies, Free University, De Boelelaan 1115, 1081 Hv Amsterdam, The Netherlands and 2 Management Unit of the Mathematical Models of the North Sea, 100 Gulledelle, B-1200 Brussels, Belgium

* Corresponding Author: gons{at}cl.nioo.knaw.nl.

3 Present Address: Netherlands Institute of Ecology, (Nioo-Knaw) Centre for Limnology, Rijksstraatweg 6, Nieuwersluis, PO Box 1299, 3600 Bg Maarssen, The Netherlands

A chlorophyll (Chl) a retrieval algorithm, originally developed for spectral subsurface irradiance reflectance determined from above-water shipboard measurements, was adapted for use with satellite imagery to be acquired by the MERIS (Medium Resolution Imaging Spectrometer) instrument. This MERIS algorithm was calibrated for Chl a concentrations in the range 3–185 mg m-3 using spectral reflectance calculated from shipboard measurements on the IJssel Lagoon (The Netherlands). Next, the algorithm was validated for various inland and coastal waters covering this concentration range. Despite the lower spectral resolution of MERIS as compared to the shipboard spectroradiometer, the standard error of estimate is expected to be similar, i.e. ~9 mg m-3 of Chl a in mesotrophic and eutrophic lakes, rivers, estuaries and coastal waters.


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H. J. Gons, M. Rijkeboer, and K. G. Ruddick
Effect of a waveband shift on chlorophyll retrieval from MERIS imagery of inland and coastal waters
J. Plankton Res., January 1, 2005; 27(1): 125 - 127.
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