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dc.contributor.authorRubino, Roselena-
dc.contributor.authorDuffo, Nuria-
dc.contributor.authorGonzález Gambau, Verónica-
dc.contributor.authorCorbella, Ignasi-
dc.contributor.authorTorres, Francesc-
dc.contributor.authorDurán, Israel-
dc.contributor.authorMartín-Neira, Manuel-
dc.date.accessioned2020-05-28T14:12:26Z-
dc.date.available2020-05-28T14:12:26Z-
dc.date.issued2020-05-18-
dc.identifiere-issn: 2072-4292-
dc.identifier.citationRemote Sensing 12(10): 1604 (2020)-
dc.identifier.otherCEX2019-000928-S-
dc.identifier.urihttp://hdl.handle.net/10261/212561-
dc.descriptionSpecial Issue Ten Years of Remote Sensing at Barcelona Expert Center.-- 18 pages,14 figures, 2 tables-
dc.description.abstractIn this work, a new methodology is proposed in order to derive vertical total electron content (VTEC) maps from the radiometric measurements of the Soil Moisture and Ocean Salinity (SMOS) mission as an alternative approach to those based on external databases and models. This approach uses spatiotemporal filtering techniques with optimized filters to be robust against the thermal noise and image reconstruction artifacts present in SMOS images. It is also possible to retrieve the Faraday rotation angle from the recovered VTEC maps in order to correct the effect that it causes in the SMOS brightness temperatures-
dc.description.sponsorshipThis research was supported by the European Space Agency and Deimos Engenharia (Portugal), SMOS P7 Subcontract DME CP12 no. 2015-005; ERDF (European Regional Development Fund); by the Spanish public funds, projects TEC2017-88850-R and ESP2015-67549-C3-1-R; and through the award “Unidad de Excelencia María de Maeztu” MDM-2016-0600, financed by the “Agencia Estatal de Investigación” (Spain) and by the European Regional Development Fund (ERDF)-
dc.description.sponsorshipWith the funding support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S), of the Spanish Research Agency (AEI)-
dc.publisherMultidisciplinary Digital Publishing Institute-
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/TEC2017-88850-R-
dc.relationTEC2017-88850-R/AEI/10.13039/501100011033-
dc.relationinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/ESP2015-67549-C3-1-R-
dc.relation.isversionofPublisher's version-
dc.rightsopenAccess-
dc.subjectFaraday rotation angle (FRA)-
dc.subjectVertical total electron content (VTEC)-
dc.subjectL-band-
dc.subjectRadiometry-
dc.subjectInterferometry-
dc.subjectSoil moisture-
dc.subjectOcean salinity (SMOS)-
dc.titleDeriving VTEC Maps from SMOS Radiometric Data-
dc.typeartículo-
dc.identifier.doi10.3390/rs12101604-
dc.description.peerreviewedPeer reviewed-
dc.relation.publisherversionhttps://doi.org/10.3390/rs12101604-
dc.identifier.e-issn2072-4292-
dc.date.updated2020-05-28T14:12:27Z-
dc.rights.licensehttp://creativecommons.org/licenses/by/4.0/-
dc.contributor.funderEuropean Space Agency-
dc.contributor.funderEuropean Commission-
dc.contributor.funderMinisterio de Economía y Competitividad (España)-
dc.contributor.funderMinisterio de Ciencia, Innovación y Universidades (España)-
dc.contributor.funderAgencia Estatal de Investigación (España)-
dc.relation.csicSí-
dc.relation.csicSí-
dc.identifier.funderhttp://dx.doi.org/10.13039/501100000844es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100000780es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100003329es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100011033es_ES
dc.type.coarhttp://purl.org/coar/resource_type/c_6501es_ES
item.openairetypeartículo-
item.grantfulltextopen-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
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