The accurate merging of primary radiometric ocean color products such as the normalized water-leaving radiance requires combining data from various space missions, which may be affected by different uncertainties as resulting from absolute calibration and minimization of the atmospheric effects. a statistical correction scheme based on a multilinear regression algorithm is used here to remove systematic differences between in situ and remote-sensing measurements. the application of the correction scheme to Sea-viewing Wide Field-of-View Sensor (SeaWiFS) and Moderate Resolution Imaging Spectroradiometer (MODIS) primary radiometric products improves the convergence between remote-sensing and in situ measurements. It was shown the need for restricting the application of the correction scheme to data with atmospheric and marine optical features represented within the reference data set used to define the correction coefficients.
|Number of pages||19|
|Journal||Geoscience and Remote Sensing, IEEE Transactions on|
|Publication status||Published - Dec 2008|
- Index Terms-Data merging
- Remote sensing
- Ocean color (OC)