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dc.contributor.authorGonzález Gambau, Verónica
dc.contributor.authorOlmedo, Estrella
dc.contributor.authorMartinez, J.
dc.contributor.authorTuriel, Antonio
dc.contributor.authorCorbella Sanahuja, Ignasi
dc.contributor.authorOliva, Roger
dc.contributor.authorMartín Neira, Manuel
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2019-07-09T10:17:34Z
dc.date.issued2018
dc.identifier.citationGonzález-Gambau, V. [et al.]. Benefits of applying nodal sampling to SMOS data over semi-enclosed seas and strongly RFI-contaminated regions. A: IEEE International Geoscience and Remote Sensing Symposium. "2018 IEEE International Geoscience & Remote Sensing Symposium: proceedings: July 22–27, 2018 Valencia, Spain". Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 305-308.
dc.identifier.isbn978-1-5386-7150
dc.identifier.urihttp://hdl.handle.net/2117/165835
dc.description.abstractRadio Frequency Interferences (RFI) are still an important source of contamination in SMOS data. The application of nodal sampling (NS) to brightness temperature images helps to mitigate the degradation that RFIs produce in geophysical retrievals. Nodal sampling has been extensive and successfully tested over open ocean and in the proximity to coastal regions. In this work, we assess the performances of NS over strongly RFI-contaminated ocean regions, particularly over semi-enclosed seas. These regions are especially challenging because of the strong contamination caused by the nearby RFI sources over land and the residual land-sea contamination.
dc.format.extent4 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
dc.subject.lcshSoil moisture
dc.subject.lcshRemote sensing
dc.subject.otherCoastal areas
dc.subject.otherImage reconstruction
dc.subject.otherInterferometry
dc.subject.otherNodal sampling
dc.subject.otherRadio frequency interferences
dc.subject.otherSemi-enclosed seas
dc.subject.otherSoil Moisture Ocean Salinity (SMOS) Coastal zones
dc.subject.otherContamination
dc.subject.otherGeology
dc.subject.otherImage reconstruction
dc.subject.otherInterferometry
dc.subject.otherPartial discharges
dc.subject.otherRadio waves
dc.subject.otherRemote sensing
dc.subject.otherSoil moisture
dc.subject.otherBrightness temperature images
dc.subject.otherCoastal area
dc.subject.otherCoastal regions
dc.subject.otherOpen ocean
dc.subject.otherRadio frequency interference
dc.subject.otherSemi-enclosed seas
dc.subject.otherSoil moisture ocean salinities
dc.subject.otherRadio interference
dc.titleBenefits of applying nodal sampling to SMOS data over semi-enclosed seas and strongly RFI-contaminated regions
dc.typeConference report
dc.subject.lemacSòls -- Humitat
dc.subject.lemacTeledetecció
dc.contributor.groupUniversitat Politècnica de Catalunya. RF&MW - Grup de Recerca de sistemes, dispositius i materials de RF i microones
dc.identifier.doi10.1109/IGARSS.2018.8518510
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/8518510/
dc.rights.accessRestricted access - publisher's policy
drac.iddocument25421911
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO/1PE/ESP2015-67549-C3-1-R
dc.date.lift10000-01-01
upcommons.citation.authorGonzález-Gambau, V.; Olmedo, E.; Martinez, J.; Turiel, A.; Corbella, I.; Oliva, R.; Martín, M.
upcommons.citation.contributorIEEE International Geoscience and Remote Sensing Symposium
upcommons.citation.publishedtrue
upcommons.citation.publicationName2018 IEEE International Geoscience & Remote Sensing Symposium: proceedings: July 22–27, 2018 Valencia, Spain
upcommons.citation.startingPage305
upcommons.citation.endingPage308


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