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Minimization of Image Distortion in SMOS Brightness Temperature Maps Over the Ocean

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7 Author(s)
Francesc Torres ; Remote Sensing Laboratory, Universitat Politècnica de Catalunya, Barcelona, Spain ; Ignasi Corbella ; Lin Wu ; Nuria Duffo
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Soil Moisture and Ocean Salinity (SMOS) brightness temperature synthesized images are obtained after a comprehensive error correction procedure that takes into account both on-ground and in-flight calibration measurements. However, the final images are still contaminated by small, although nonnegligible, spatial errors: the so-called pixel bias. Since spatial errors in the 2-D SMOS images are not zero mean along track, these errors produce clearly visible artifacts aligned to this direction. Fortunately, spatial errors have been found to be very stable and can be minimized once the image distortion pattern is properly measured by observing a target at a uniform brightness temperature distribution. This letter describes the procedure to compute a multiplicative mask that largely reduces spatial errors over the ocean. Preliminary results to assess the mask performance are also presented by computing the reduction of the rms spatial error for a number of targets selected to have significant temporal and geographical diversity.

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IEEE Geoscience and Remote Sensing Letters  (Volume:9 ,  Issue: 1 )