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SMOS image reconstruction quality assessment
| dc.contributor.author | Corbella Sanahuja, Ignasi |
| dc.contributor.author | Torres Torres, Francisco |
| dc.contributor.author | Wu, Lin |
| dc.contributor.author | Duffo Ubeda, Núria |
| dc.contributor.author | Durán Martínez, Israel |
| dc.contributor.author | Martín Neira, Manuel |
| dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
| dc.date.accessioned | 2015-03-24T14:03:20Z |
| dc.date.created | 2014 |
| dc.date.issued | 2014 |
| dc.identifier.citation | Corbella, I. [et al.]. SMOS image reconstruction quality assessment. A: IEEE International Geoscience and Remote Sensing Symposium. "2014 IEEE International Geoscience & Remote Sensing Symposium: proceedings: July 13–18, 2014, Québec City, Québec, Canada". Québec: Institute of Electrical and Electronics Engineers (IEEE), 2014, p. 1914-1916. |
| dc.identifier.isbn | 978-1-4799-5775-0 |
| dc.identifier.uri | http://hdl.handle.net/2117/26984 |
| dc.description.abstract | After more than four years of operation, the SMOS (Soil Moisture and Ocean Salinity) European Space Agency (ESA) mission [1] has proven to be highly useful for a variety of scientific applications related to soil moisture over land and ocean salinity and winds over ocean, as well as specific studies over the ice covered surfaces. Level 2 data is currently used by many institutes around the world to extract relevant information aimed at improving weather forecast, extreme events monitoring and others. |
| dc.format.extent | 3 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 | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo |
| dc.subject.lcsh | Image processing |
| dc.subject.lcsh | Remote sensing |
| dc.subject.lcsh | Soils, Salts in |
| dc.title | SMOS image reconstruction quality assessment |
| dc.type | Conference report |
| dc.subject.lemac | Imatges -- Processament |
| dc.subject.lemac | Teledetecció |
| dc.subject.lemac | Sòls salins |
| dc.contributor.group | Universitat Politècnica de Catalunya. RF&MW - Grup de Recerca de sistemes, dispositius i materials de RF i microones |
| dc.contributor.group | Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció |
| dc.identifier.doi | 10.1109/IGARSS.2014.6946832 |
| dc.rights.access | Restricted access - publisher's policy |
| local.identifier.drac | 15388365 |
| dc.description.version | Postprint (published version) |
| dc.date.lift | 10000-01-01 |
| local.citation.author | Corbella, I.; Torres, F.; Wu, L.; Duffo, N.; Duran, I.; Martín, M. |
| local.citation.contributor | IEEE International Geoscience and Remote Sensing Symposium |
| local.citation.pubplace | Québec |
| local.citation.publicationName | 2014 IEEE International Geoscience & Remote Sensing Symposium: proceedings: July 13–18, 2014, Québec City, Québec, Canada |
| local.citation.startingPage | 1914 |
| local.citation.endingPage | 1916 |