
Atmospheric correction is a key procedure in remote sensing of ocean colour. This report provides an overview of the various atmospheric correction algorithms used for global ocean-colour data processing, and quantifies the performance of operational atmospheric correction algorithms for SeaWiFS, MODIS-Aqua, MERIS, OCTS, GLI and POLDER. The performance of the various algorithms is compared using common simulated data sets, mainly for open ocean (Case-1) waters and for non- or weakly-absorbing aerosols. Examples from coastal Case-2 waters (sediment-dominated and yellow-substance dominated waters) and from strongly-absorbing aerosols are also provided and discussed.
Contributing authors: David Antoine, Pierre-Yves Deschamps, Robert Frouin, Hajime Fukushima, Howard R. Gordon André Morel, Jean-Marc Nicolas, Menghua Wang.
IOCCG sponsoring space agencies
Best Practice
ocean colour
Published
Refereed
Current
Instrument Type Vocabulary::ocean colour radiometers, Parameter Discipline::Biological oceanography, Data Management Practices::Data analysis
Instrument Type Vocabulary::ocean colour radiometers, Parameter Discipline::Biological oceanography, Data Management Practices::Data analysis
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
