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dc.contributor.authorDOWELL Marken_GB
dc.contributor.authorMOORE Timothyen_GB
dc.contributor.authorCAMPBELL Janeten_GB
dc.date.accessioned2010-02-25T16:56:11Z-
dc.date.available2010-01-13en_GB
dc.date.available2010-02-25T16:56:11Z-
dc.date.created2009-12-21en_GB
dc.date.issued2009en_GB
dc.date.submitted2009-10-05en_GB
dc.identifier.citationREMOTE SENSING OF ENVIRONMENT vol. 113 no. 11 p. 2424-2430en_GB
dc.identifier.issn0034-4257en_GB
dc.identifier.urihttp://publications.jrc.ec.europa.eu/repository/handle/JRC54659-
dc.description.abstractGlobal chlorophyll products derived from NASA's ocean color satellite programs have a nominal uncertainty of ± 35%. This metric has been hard to assess, in part because the data sets for evaluating performance do not reflect the true distribution of chlorophyll in the global ocean. A new technique is introduced that characterizes the chlorophyll uncertainty associated with distinct optical water types, and shows that for much of the open ocean the relative error is under 35%. This technique is based on a fuzzy classification of remote sensing reflectance into eight optical water types for which error statistics have been calculated. The error statistics are based on a data set of coincident MODIS Aqua satellite radiances and in situ chlorophyll measurements. The chlorophyll uncertainty is then mapped dynamically based on fuzzy memberships to the optical water types. The uncertainty maps are thus a separate, companion product to the standard MODIS chlorophyll product.en_GB
dc.description.sponsorshipJRC.H.3-Global environement monitoringen_GB
dc.format.mediumPrinteden_GB
dc.languageENGen_GB
dc.publisherELSEVIER SCIENCE INCen_GB
dc.relation.ispartofseriesJRC54659en_GB
dc.titleA Class-Based Approach to Characterizing and Mapping the Uncertainty of the MODIS Ocean Chlorophyll Producten_GB
dc.typeArticles in periodicals and booksen_GB
dc.identifier.doidoi:10.1016/j.rse.2009.07.016en_GB
JRC Directorate:Sustainable Resources

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