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Title

Debiased non-Bayesian retrieval: A novel approach to SMOS Sea Surface Salinity

AuthorsOlmedo, Estrella CSIC ORCID ; Martínez, Justino CSIC ORCID ; Turiel, Antonio CSIC ORCID ; Ballabrera-Poy, Joaquim CSIC ORCID ; Portabella, Marcos CSIC ORCID
KeywordsSoil Moisture and Ocean Salinity
SMOS
Sea surface salinity
Salinity retrieval
Remote sensing
Physical oceanography
SSS
Issue DateMay-2017
PublisherElsevier
CitationRemote Sensing of Environment 193: 103-126 (2017)
AbstractThe Soil Moisture and Ocean Salinity (SMOS) mission has provided a unique remote sensing capability for observing key variables of the hydrological cycle, such as the Sea Surface Salinity (SSS). However, due to some limitations related to the instrument interferometric concept and its challenging data processing, SMOS SSS maps still display significant artifacts and biases, especially close to the coast, mainly due to the presence of Radio Frequency Interferences (RFI) and Land-sea contamination (LSC). In this paper, a new methodology for filtering salinity retrievals and correcting for spatial biases is introduced and validated
Description24 pages, 18 figures, 5 tables
Publisher version (URL)https://dx.doi.org/10.1016/j.rse.2017.02.023
URIhttp://hdl.handle.net/10261/153277
DOI10.1016/j.rse.2017.02.023
Identifiersdoi: 10.1016/j.rse.2017.02.023
issn: 0034-4257
e-issn: 1879-0704
Appears in Collections:(ICM) Artículos

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