Uncertainty estimates of remote sensing reflectance derived from comparison of ocean color satellite data sets.

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Date
2016Author
Mélin, F.
Sclepa, G.
Jackson, T.
Sathyendranath, S.
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Assigning uncertainty to ocean-color satellite products is a requirement to allowinformed use of these data. Here,
uncertainty estimates are derived using the comparison on a 12th-degree grid of coincident daily records of the
remote-sensing reflectance RRS obtained with the same processing chain from three satellite missions, MERIS,
MODIS and SeaWiFS. The approach is spatially resolved and produces σ, the part of the RRS uncertainty budget
associated with random effects. The global average of σ decreases with wavelength from approximately 0.7–
0.9 10−3 sr−1 at 412 nm to 0.05–0.1 10−3 sr−1 at the red band, with uncertainties on σ evaluated as 20–30% between
412 and 555 nm, and 30–40% at 670 nm. The distribution of σ shows a restricted spatial variability and
small variations with season, which makes the multi-annual global distribution of σ an estimate applicable to
all retrievals of the considered missions. The comparison of σ with other uncertainty estimates derived from
fie.....
Journal
Remote Sensing of EnvironmentVolume
177Page Range
pp.107-124Document Language
enSustainable Development Goals (SDG)
14.AEssential Ocean Variables (EOV)
Ocean colourBest Practice Type
Manual (incl. handbook, guide, cookbook etc)DOI Original
http://dx.doi.org/10.1016/j.rse.2016.02.014Citation
Mélin, F.; Sclep, G.; Jackson, T, and Sathyendranath, S. (2016) Uncertainty estimates of remote sensing reflectance derived from comparison of ocean color satellite data sets Remote Sensing of Environment, 177, pp.107-124. DOI: https://doi.org/10.1016/j.rse.2016.02.014.Collections
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