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The Ocean Colour Climate Change Initiative: II. Spatial and Temporal Homogeneity of Satellite Data Retrieval Due to Systematic Effects in Atmospheric Correction ProcessorsThe established procedure to access the quality of atmospheric correction processors and their underlying algorithms is the comparison of satellite data products with related in-situ measurements. Although this approach addresses the accuracy of derived geophysical properties in a straight forward fashion, it is also limited in its ability to catch systematic sensor and processor dependent behaviour of satellite products along the scan-line, which might impair the usefulness of the data in spatial analyses. The Ocean Colour Climate Change Initiative (OC-CCI) aims to create an ocean colour dataset on a global scale to meet the demands of the ecosystem modelling community. The need for products with increasing spatial and temporal resolution that also show as little systematic and random errors as possible, increases. Due to cloud cover, even temporal means can be influenced by along-scanline artefacts if the observations are not balanced and effects cannot be cancelled out mutually. These effects can arise from a multitude of results which are not easily separated, if at all. Among the sources of artefacts, there are some sensor-specific calibration issues which should lead to similar responses in all processors, as well as processor-specific features which correspond with the individual choices in the algorithms. A set of methods is proposed and applied to MERIS data over two regions of interest in the North Atlantic and the South Pacific Gyre. The normalised water leaving reflectance products of four atmospheric correction processors, which have also been evaluated in match-up analysis, is analysed in order to find and interpret systematic effects across track. These results are summed up with a semi-objective ranking and are used as a complement to the match-up analysis in the decision for the best Atmospheric Correction (AC) processor. Although the need for discussion remains concerning the absolutes by which to judge an AC processor, this example demonstrates clearly, that relying on the match-up analysis alone can lead to misjudgement.
Document ID
Document Type
Reprint (Version printed in journal)
Muller, Dagmar (Helmholtz-Zentrum Geesthacht Germany)
Krasemann, Hajo (Helmholtz-Zentrum Geesthacht Germany)
Brewin, Robert J. W. (Plymouth Marine Lab. United Kingdom)
Brockmann, Carsten (Brockmann Consult Geesthacht, Germany)
Deschamps, Pierre-Yves (Hygeos Earth Observation Lille, France)
Fomferra, Norman (Brockmann Consult Geesthacht, Germany)
Franz, Bryan A. (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Grant, Mike G. (Plymouth Marine Lab. United Kingdom)
Groom, Steve B. (Plymouth Marine Lab. United Kingdom)
Melin, Frederic (Commission of the European Communities Ispra, Italy)
Platt, Trevor (Plymouth Marine Lab. United Kingdom)
Regner, Peter (European Space Agency. ESRIN Frascati, Italy)
Sathyendranath, Shubha (Plymouth Marine Lab. United Kingdom)
Steinmetz, Francois (Hygeos Earth Observation Lille, France)
Swinton, John (Telespazio VEGA UK Ltd. United Kingdom)
Date Acquired
November 20, 2015
Publication Date
April 22, 2015
Publication Information
Publication: Remote Sensing of the Enviornment
Volume: 162
Subject Category
Earth Resources and Remote Sensing
Report/Patent Number
Funding Number(s)
WBS: WBS 365382.04.23.02
Distribution Limits
Ocean Colour
Atmospheric Correction
Climate Change