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Sensitivity to soil moisture of spaceborne GNSS-R observables
dc.contributor.author | Camps Carmona, Adriano José |
dc.contributor.author | Vall-Llossera Ferran, Mercedes Magdalena |
dc.contributor.author | Hyuk, Park |
dc.contributor.author | Portal González, Gerard |
dc.contributor.author | Rossato, Luciana |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Física |
dc.date.accessioned | 2019-03-13T17:29:19Z |
dc.date.issued | 2018 |
dc.identifier.citation | Camps, 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.isbn | 978-1-5386-7150 |
dc.identifier.uri | http://hdl.handle.net/2117/130411 |
dc.description.abstract | The 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.extent | 4 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció |
dc.subject.lcsh | Remote sensing |
dc.subject.lcsh | Soil moisture |
dc.subject.other | GNSS-R |
dc.subject.other | TDS-1 |
dc.subject.other | Soil moisture |
dc.subject.other | Vegetation optical depth |
dc.title | Sensitivity to soil moisture of spaceborne GNSS-R observables |
dc.type | Conference report |
dc.subject.lemac | Teledetecció |
dc.subject.lemac | Sòls -- Humitat |
dc.contributor.group | Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció |
dc.contributor.group | Universitat Politècnica de Catalunya. CTE-CRAE - Grup de Recerca en Ciències i Tecnologies de l'Espai |
dc.identifier.doi | 10.1109/IGARSS.2018.8518942 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/8518942 |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 23997951 |
dc.description.version | Postprint (published version) |
dc.relation.projectid | info: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.lift | 10000-01-01 |
local.citation.author | Camps, A.; Vall-llossera, M.; Park, H.; Portal, G.; Rossato, L. |
local.citation.contributor | IEEE International Geoscience and Remote Sensing Symposium |
local.citation.publicationName | 2018 IEEE International Geoscience & Remote Sensing Symposium: proceedings: July 22–27, 2018 Valencia, Spain |
local.citation.startingPage | 3161 |
local.citation.endingPage | 3164 |