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dc.contributor.authorCamps Carmona, Adriano José
dc.contributor.authorVall-Llossera Ferran, Mercedes Magdalena
dc.contributor.authorHyuk, Park
dc.contributor.authorPortal González, Gerard
dc.contributor.authorRossato, Luciana
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Física
dc.date.accessioned2019-03-13T17:29:19Z
dc.date.issued2018
dc.identifier.citationCamps, A. [et al.]. Sensitivity to soil moisture of spaceborne GNSS-R observables. 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. 3161-3164.
dc.identifier.isbn978-1-5386-7150
dc.identifier.urihttp://hdl.handle.net/2117/130411
dc.description.abstractThe potential of GNSS-R techniques to estimate land surface parameters such as Soil Moisture (SM) is experimentally studied using 2014-2017 global data from the UK TechDemoSat-1 (TDS-1) mission. The approach is based on the analysis of the sensitivity to Soil Moisture of different observables extracted from the Delay Doppler Maps (DDM) computed by the SGR-ReSI instrument using the L1 (1575.42 MHz) left-hand circularly-polarized (LHCP) reflected signals emitted by navigation satellites. After quality-filtering the data (spacecraft not `in eclipse' and the direct signal not present in the DDM), topography filtering the data, correction for background noise, antenna pattern gain, different distance propagation factors, and vegetation attenuation, the sensitivity of different GNSS-R observables to SM and its dependence with incidence angle is analyzed.
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::Teledetecció
dc.subject.lcshRemote sensing
dc.subject.lcshSoil moisture
dc.subject.otherGNSS-R
dc.subject.otherTDS-1
dc.subject.otherSoil moisture
dc.subject.otherVegetation optical depth
dc.titleSensitivity to soil moisture of spaceborne GNSS-R observables
dc.typeConference report
dc.subject.lemacTeledetecció
dc.subject.lemacSòls -- Humitat
dc.contributor.groupUniversitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
dc.contributor.groupUniversitat Politècnica de Catalunya. CTE-CRAE - Grup de Recerca en Ciències i Tecnologies de l'Espai
dc.identifier.doi10.1109/IGARSS.2018.8518942
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/8518942
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac23997951
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO//ESP2015-70014-C2-1-R/ES/TECNICAS AVANZADAS EN TELEDETECCION APLICADA USANDO SEÑALES GNSS Y OTRAS SEÑALES DE OPORTUNIDAD/
dc.date.lift10000-01-01
local.citation.authorCamps, A.; Vall-llossera, M.; Park, H.; Portal, G.; Rossato, L.
local.citation.contributorIEEE International Geoscience and Remote Sensing Symposium
local.citation.publicationName2018 IEEE International Geoscience & Remote Sensing Symposium: proceedings: July 22–27, 2018 Valencia, Spain
local.citation.startingPage3161
local.citation.endingPage3164


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