Koninklijk Belgisch Instituut voor Natuurwetenschappen; Departement Beheer van het Mariene Ecosysteem; Beheerseenheid Mathematisch Model Noordzee en Schelde-estuarium; Brussel (KBIN-BMM), more
The project RECOLOUR is a spin-off project from BELCOLOUR. The synoptic imagery of ocean from satellite provides unique spatial coverage to help answer environmental management and research questions. For numerous applications it is more useful to have a complete time series of data at all points rather than data which is gappy in space and time because of clouds, masking of low confidence data and absence of acquisitions. The objectives of RECOLOUR are to reanalyze BELCOLOUR and Pathfinder scenes. Specific objectives are to exploit Empirical Orthogonal Functions (EOFs) to provide an optimal methodology for fillling missing data in space and time and generate complete series of gridded products of SST, Chl a, TSM and associated error fields. RECOLOUR will also synthesise the variability of the studied systems (southern North Sea, Mediterranean Sea around Corsica) by identifying dominant modes of variability. RECOLOUR will provide a methodology to detect anomalous pixels resulting from imperfect cloudmasking. Multivariate approaches will extend the EOF to include informations from wind-stress and tidal amplitudes. RECOLOUR will verify that a multivariate approach provides better estimates than univariate approaches.
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, more
