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dc.contributor.authorZibordi, Giuseppe
dc.contributor.authorMélin, Frédéric
dc.contributor.authorVoss, Kenneth J.
dc.contributor.authorJohnson, B.Carol
dc.contributor.authorFranz, Bryan A.
dc.contributor.authorKwiatkowska, Ewa
dc.contributor.authorHuot, Jean-Paul
dc.contributor.authorWangg, Menghua
dc.contributor.authorAntoine, David
dc.date.accessioned2020-07-22T00:52:32Z
dc.date.available2020-07-22T00:52:32Z
dc.date.issued2015
dc.identifier.citationZibordi, G. et al (2015) System vicarious calibration for ocean color climate change applications: Requirements for in situ data. Remote Sensing of Environment, 159, pp.361-369. DOI: https://doi.org/10.1016/j.rse.2014.12.015.en_US
dc.identifier.urihttp://hdl.handle.net/11329/1384
dc.identifier.urihttp://dx.doi.org/10.25607/OBP-890
dc.description.abstractSystem Vicarious Calibration (SVC) ensures a relative radiometric calibration to satellite ocean color sensors that minimizes uncertainties in thewater-leaving radiance Lw derived fromthe top of atmosphere radiance LT. This is achieved through the application of gain-factors, g-factors, to pre-launch absolute radiometric calibration coefficients of the satellite sensor corrected for temporal changes in radiometric sensitivity. The g-factors are determined by the ratio of simulated to measured spectral LT values where the former are computed using: i. highly accurate in situ Lw reference measurements; and ii. the same atmospheric models and algorithms applied for the atmospheric correction of satellite data. By analyzing basic relations between relative uncertainties of Lw and LT, and g-factors consistently determined for the same satellite mission using different in situ data sources, this work suggests that the creation of ocean color Climate Data Records (CDRs) should ideally rely on: i. one main long-term in situ calibration system (site and radiometry) established and sustained with the objective to maximize accuracy and precision over time of g-factors and thus minimize possible biases among satellite data products from differentmissions; and additionally ii. unique (i.e., standardized) atmosphericmodel and algorithms for atmospheric correction to maximize cross-mission consistency of data products at locations different from that supporting SVC. Finally, accounting for results from the study and elements already provided in literature, requirements and recommendations for SVC sites and field radiometric measurements are streamlineden_US
dc.language.isoenen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subject.otherSatellite ocean colouren_US
dc.subject.otherSurface radiationen_US
dc.subject.otherSystem vicarious calibrationen_US
dc.subject.otherClimate data recorden_US
dc.titleSystem vicarious calibration for ocean color climate change applications: Requirements for in situ data,en_US
dc.typeJournal Contributionen_US
dc.description.refereedRefereeden_US
dc.format.pagerangepp.361-369en_US
dc.identifier.doihttp://dx.doi.org/10.1016/j.rse.2014.12.015
dc.subject.parameterDisciplineParameter Discipline::Physical oceanography::Other physical oceanographic measurementsen_US
dc.bibliographicCitation.titleRemote Sensing of Environmenten_US
dc.bibliographicCitation.volume159en_US
dc.description.sdg14.Aen_US
dc.description.eovOcean colouren_US
dc.description.maturitylevelTRL 8 Actual system completed and "mission qualified" through test and demonstration in an operational environment (ground or space)en_US
dc.description.bptypeManual (incl. handbook, guide, cookbook etc)en_US
obps.contact.contactnameG. Zibordi
obps.contact.contactemailgiuseppe.zibordi@jrc.ec.europa.eu
obps.resourceurl.publisherhttps://www.sciencedirect.com/science/article/pii/S0034425714005070?via%3Dihuben_US


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Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International