Systematic spatial errors in SMOS brightness temperature images are successfully estimated by using a statistical analysis
of measured data. A constant multiplicative mask is derived by averaging spatial errors of a large number of snapshots over the ocean. The mask has been obtained for the aliasfree field of view region without the need of any geophysical model. It can be considered as part of the instrument characterization and is totally independent of the target to measure. When this mask ...
Systematic spatial errors in SMOS brightness temperature images are successfully estimated by using a statistical analysis
of measured data. A constant multiplicative mask is derived by averaging spatial errors of a large number of snapshots over the ocean. The mask has been obtained for the aliasfree field of view region without the need of any geophysical model. It can be considered as part of the instrument characterization and is totally independent of the target to measure. When this mask is applied to regular SMOS brightness temperatures, the spatial artifacts are clearly reduced.
Citació
Wu, L. [et al.]. Correction of spatial errors in SMOS brightness temperature images. A: IEEE International Geoscience and Remote Sensing Symposium. "2011 IEEE International Geoscience & Remote Sensing Symposium Proceedings". Vancouver: IEEE, 2011, p. 3752-3755.
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