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dc.contributor.authorMUELLER Dagmaren_GB
dc.contributor.authorKRASEMANN Hajoen_GB
dc.contributor.authorBREWIN Roberten_GB
dc.contributor.authorBROCKMANN Carstenen_GB
dc.contributor.authorDESCHAMPS Pierre-Yvesen_GB
dc.contributor.authorDOERFFER Rolanden_GB
dc.contributor.authorFOMFERRA Normanen_GB
dc.contributor.authorFRANZ Bryanen_GB
dc.contributor.authorGRANT M.en_GB
dc.contributor.authorGROOM Steveen_GB
dc.contributor.authorMELIN Fredericen_GB
dc.contributor.authorPLATT Trevoren_GB
dc.contributor.authorREGNER Peteren_GB
dc.contributor.authorSATHYENDRANATH Shubhaen_GB
dc.contributor.authorSTEINMETZ Francoisen_GB
dc.contributor.authorSWINTON Johnen_GB
dc.date.accessioned2015-10-01T00:26:12Z-
dc.date.available2015-09-30en_GB
dc.date.available2015-10-01T00:26:12Z-
dc.date.created2015-09-21en_GB
dc.date.issued2015en_GB
dc.date.submitted2015-04-30en_GB
dc.identifier.citationREMOTE SENSING OF ENVIRONMENT vol. 162 p. 242-256en_GB
dc.identifier.issn0034-4257en_GB
dc.identifier.urihttp://www.sciencedirect.com/science/article/pii/S0034425715000619en_GB
dc.identifier.urihttp://publications.jrc.ec.europa.eu/repository/handle/JRC95818-
dc.description.abstractThe Ocean Colour Climate Change Initiative intends to provide a long-term time series of ocean colour data and investigate the detectable climate impact. A reliable and stable atmospheric correction procedure is the basis for ocean colour products of the necessary high quality. In order to guarantee an objective selection from a set of four atmospheric correction processors, the common validation strategy of comparisons between in-situ and satellite derived water leaving reflectance spectra, is extended by a ranking system. In principle, the statistical parameters such as root mean square error, bias, etc. and measures of goodness of fit, are transformed into relative scores, which evaluate the relationship of quality dependent on the algorithms under study. The sensitivity of these scores to the selected database has been assessed by a bootstrapping exercise, which allows identification of the uncertainty in the scoring results. Although the presented methodology is intended to be used in an algorithm selection process, this paper focusses on the scope of the methodology rather than the properties of the individual processors.en_GB
dc.description.sponsorshipJRC.H.1-Water Resourcesen_GB
dc.format.mediumPrinteden_GB
dc.languageENGen_GB
dc.publisherELSEVIER SCIENCE INCen_GB
dc.relation.ispartofseriesJRC95818en_GB
dc.titleThe Ocean Colour Climate Change Initiative. I. A methodology for assessing atmospheric correction processors based on in-situ measurements.en_GB
dc.typeArticles in periodicals and booksen_GB
dc.identifier.doi10.1016/j.rse.2013.11.026en_GB
JRC Directorate:Sustainable Resources

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