dc.contributor.author | Zibordi, Giuseppe | |
dc.contributor.author | Mélin, Frédéric | |
dc.contributor.author | Voss, Kenneth J. | |
dc.contributor.author | Johnson, B.Carol | |
dc.contributor.author | Franz, Bryan A. | |
dc.contributor.author | Kwiatkowska, Ewa | |
dc.contributor.author | Huot, Jean-Paul | |
dc.contributor.author | Wangg, Menghua | |
dc.contributor.author | Antoine, David | |
dc.date.accessioned | 2020-07-22T00:52:32Z | |
dc.date.available | 2020-07-22T00:52:32Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | Zibordi, 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.uri | http://hdl.handle.net/11329/1384 | |
dc.identifier.uri | http://dx.doi.org/10.25607/OBP-890 | |
dc.description.abstract | System 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
streamlined | en_US |
dc.language.iso | en | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject.other | Satellite ocean colour | en_US |
dc.subject.other | Surface radiation | en_US |
dc.subject.other | System vicarious calibration | en_US |
dc.subject.other | Climate data record | en_US |
dc.title | System vicarious calibration for ocean color climate change applications: Requirements for in situ data, | en_US |
dc.type | Journal Contribution | en_US |
dc.description.refereed | Refereed | en_US |
dc.format.pagerange | pp.361-369 | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/j.rse.2014.12.015 | |
dc.subject.parameterDiscipline | Parameter Discipline::Physical oceanography::Other physical oceanographic measurements | en_US |
dc.bibliographicCitation.title | Remote Sensing of Environment | en_US |
dc.bibliographicCitation.volume | 159 | en_US |
dc.description.sdg | 14.A | en_US |
dc.description.eov | Ocean colour | en_US |
dc.description.maturitylevel | TRL 8 Actual system completed and "mission qualified" through test and demonstration in an operational environment (ground or space) | en_US |
dc.description.bptype | Manual (incl. handbook, guide, cookbook etc) | en_US |
obps.contact.contactname | G. Zibordi | |
obps.contact.contactemail | giuseppe.zibordi@jrc.ec.europa.eu | |
obps.resourceurl.publisher | https://www.sciencedirect.com/science/article/pii/S0034425714005070?via%3Dihub | en_US |