Uncertainty estimates of remote sensing reflectance derived from comparison of ocean color satellite data sets.
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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.....
JournalRemote Sensing of Environment
Sustainable Development Goals (SDG)14.A
Essential Ocean Variables (EOV)Ocean colour
Best Practice TypeManual (incl. handbook, guide, cookbook etc)
CitationMélin, 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.
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