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Saulquin, Bertrand; Gohin, Francis; Garrello, Rene. |
In this paper, we define the method that is used to merge high-resolution multisensor chlorophyll-a (chl-a) data on the Ireland-Biscay-Iberia Regional Ocean Observing System area from 1998 to the present at a resolution of 1.1 km. The method is based on geostatistics and is known as kriging. The merged variable is the daily anomaly of chl-a, with the anomaly being defined as the difference between the daily image and the mean historical field for the considered day. For each day, the continuous anomaly image is generated using the kriging method, and the mean historical field is then added to obtain the cloudless field of chl-a. The initial satellite chl-a data set used in the merging procedure is derived from the daily level-2 water leaving radiances of... |
Tipo: Text |
Palavras-chave: Chlorophyll-a (chl-a); Kriging; Optimal interpolation; Remote sensing. |
Ano: 2011 |
URL: http://archimer.ifremer.fr/doc/00029/14063/11369.pdf |
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