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Cloud filling of total suspended matter, cholorphyll and sea surface temperature remote sensing products by the Data Interpolation with Empirical Orthogonal Functions methodology, application to the BELCOLOUR-1 database
Sirjacobs, D.; Alvera-Azcárate, A.; Barth, A.; Park, Y.; Nechad, B.; Ruddick, K.; Beckers, J.-M. (2008). Cloud filling of total suspended matter, cholorphyll and sea surface temperature remote sensing products by the Data Interpolation with Empirical Orthogonal Functions methodology, application to the BELCOLOUR-1 database, in: Proceedings of the 2nd MERIS/(A)ATSR User Workshop, 22–26 September 2008, ESRIN, Frascati, Italy. ESA Special Publications, 666: pp. 6
In: (2008). Proceedings of the 2nd MERIS/(A)ATSR User Workshop, 22–26 September 2008, ESRIN, Frascati, Italy. ESA Special Publications, 666. ESA Communication Production Office: Noordwijk. ISBN 978-92-9221-230-8. , meer
In: ESA Special Publications. ESA Publications Office. ISSN 0379-6566; e-ISSN 1609-0438, meer

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  • RE-COLOUR Reconstruction of colour schemes, meer

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Abstract
    Space-time filling of the gaps in satellite data archives is an important step for the improvement of various marine ecosystem studies. The Data Interpolation with Empirical Orthogonal Functions methodology (DINEOF) allows calculating missing data in geophysical datasets without requiring a priori knowledge about statistics of the full data set [1]. It was successfully applied to SST reconstructions as in [1] and [2]. Here, the DINEOF reconstruction method is applied to surface chlorophyll a (CHL), total suspended matter (TSM) and sea surface temperature (SST) data over the Southern North Sea and English Channel obtained from the BELCOLOUR archive.

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