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SMOS simplified iterative full-pol brightness temperature retrieval
dc.contributor.author | Durán Martínez, Israel |
dc.contributor.author | Lin, Wu |
dc.contributor.author | Torres Torres, Francisco |
dc.contributor.author | Corbella Sanahuja, Ignasi |
dc.contributor.author | Duffo Ubeda, Núria |
dc.contributor.author | Martín Neira, Manuel |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.date.accessioned | 2017-02-07T10:50:19Z |
dc.date.issued | 2016 |
dc.identifier.citation | Duran, I., Lin, W., Torres, F., Corbella, I., Duffo, N., Martín, M. SMOS simplified iterative full-pol brightness temperature retrieval. A: IEEE International Geoscience and Remote Sensing Symposium. "2016 IEEE International Geoscience & Remote Sensing Symposium: proceedings: July 10-15, 2016: Beijing, China". Beijing: Institute of Electrical and Electronics Engineers (IEEE), 2016, p. 842-845. |
dc.identifier.isbn | 9781509022342 |
dc.identifier.uri | http://hdl.handle.net/2117/100615 |
dc.description.abstract | SMOS is the acronym for the Soil Moisture and Ocean Salinity mission by the European Space Agency (ESA) [1]. Its single payload, the Microwave Imaging Radiometer using Aperture Synthesis (MIRAS), was successfully launched in November 2009. Along more than six years of operation, SMOS calibration and imaging algorithms have undergone a continuous evolution to further improve the accuracy of the retrieved geophysical parameters for a variety of scientific applications related with soil moisture and ocean salinity [2]. This paper analyzes a simplified iterative image reconstruction method that exclusively takes into account the dominant terms in the full-polarimetric equation [3]. This simplified method, that reduces computation time up to 50% at the cost of small radiometric performance degradation, is useful to the L1 teams to fine tune the calibration of the instrument when processing a large amount of data is required. |
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 | Soil moisture--Measurement |
dc.subject.lcsh | Polarimetry |
dc.subject.lcsh | Remote sensing |
dc.subject.lcsh | Imaging systems in geophysics |
dc.subject.other | Geophysical image processing |
dc.subject.other | Image reconstruction |
dc.subject.other | Moisture |
dc.subject.other | Polarimetry |
dc.subject.other | Radiometry |
dc.subject.other | Remote sensing |
dc.subject.other | Salinity (geophysical) – soil |
dc.subject.other | SMOS mission |
dc.subject.other | Iterative full-polarimetric brightness temperature retrieval |
dc.subject.other | Soil Moisture and Ocean Salinity Mission |
dc.subject.other | Microwave Imaging Radiometer using Aperture Synthesis |
dc.subject.other | AD 2009 11 |
dc.subject.other | SMOS calibration |
dc.subject.other | SMOS imaging algorithm |
dc.subject.other | Geophysical parameters |
dc.subject.other | Soil moisture |
dc.subject.other | Ocean salinity |
dc.subject.other | Image reconstruction |
dc.subject.other | Full-polarimetric equation |
dc.subject.other | Radiometric performance degradation |
dc.subject.other | Instrument calibration |
dc.title | SMOS simplified iterative full-pol brightness temperature retrieval |
dc.type | Conference report |
dc.subject.lemac | Sòls -- Humitat -- Mesurament |
dc.subject.lemac | Polarització (Llum) |
dc.subject.lemac | Teledetecció |
dc.subject.lemac | Imatge, Tècniques d' |
dc.contributor.group | Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció |
dc.contributor.group | Universitat Politècnica de Catalunya. RF&MW - Grup de Recerca de sistemes, dispositius i materials de RF i microones |
dc.identifier.doi | 10.1109/IGARSS.2016.7729213 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://ieeexplore.ieee.org/document/7729213/ |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 19355140 |
dc.description.version | Postprint (published version) |
dc.date.lift | 10000-01-01 |
local.citation.author | Duran, I.; Lin, W.; Torres, F.; Corbella, I.; Duffo, N.; Martín, M. |
local.citation.contributor | IEEE International Geoscience and Remote Sensing Symposium |
local.citation.pubplace | Beijing |
local.citation.publicationName | 2016 IEEE International Geoscience & Remote Sensing Symposium: proceedings: July 10-15, 2016: Beijing, China |
local.citation.startingPage | 842 |
local.citation.endingPage | 845 |