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hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorKERR, Yann H.
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorAL-YAARI, A.
hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorRODRIGUEZ‐FERNANDEZ, Nemesio
hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorPARRENS, Marie
hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorMOLERO, Beatriz
hal.structure.identifierLaboratoire d'étude des transferts en hydrologie et environnement [LTHE]
dc.contributor.authorLEROUX, Delphine
hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorBIRCHER, Simone
hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorMAHMOODI, Ali
hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorMIALON, Arnaud
hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorRICHAUME, Philippe
hal.structure.identifierEuropean Space Research and Technology Centre [ESTEC]
dc.contributor.authorDELWART, S.
hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorAHMAD, Al Bitar
hal.structure.identifierLaboratoire d'étude des transferts en hydrologie et environnement [LTHE]
dc.contributor.authorPELLARIN, T.
hal.structure.identifierUSDA Agricultural Research Service [Maricopa, AZ] [USDA]
dc.contributor.authorBINDLISH, R.
hal.structure.identifierUSDA Agricultural Research Service [Maricopa, AZ] [USDA]
dc.contributor.authorJACKSON, T.J.
hal.structure.identifierDepartment of Civil Engineering [Clayton]
dc.contributor.authorRÜDIGER, C.
hal.structure.identifierESTER - LATMOS
dc.contributor.authorWALDTEUFEL, Philippe
hal.structure.identifierESA Centre for Earth Observation [ESRIN]
dc.contributor.authorMECKLENBURG, S.
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorWIGNERON, J.-P.
dc.date.accessioned2024-04-08T11:49:14Z
dc.date.available2024-04-08T11:49:14Z
dc.date.issued2016
dc.identifier.issn0034-4257
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/195332
dc.description.abstractEnThe Soil Moisture and Ocean Salinity satellite (SMOS) was launched in November 2009 and started delivering data in January 2010. The commissioning phase ended in May 2010. Subsequently, the satellite has been in operation for over six years while the retrieval algorithms from Level 1 (L1) to Level 2 (L2) underwent significant evolutions as knowledge improved. Moreover, other approaches for retrieval at L2 over land were investigated while Level 3 (L3) and Level 4 (L4) were initiated. In this paper, these improvements were assessed by inter-comparisons of the current L2 (V620) against the previous version (V551) and new products (using neural networks referred to as SMOS-NN) and L3 (referred to as SMOS-L3). In addition, a global evaluation of different SMOS soil moisture (SM) products (SMOS-L2, SMOS-L3, and SMOS-NN) was performed comparing products with those of model simulations and other satellites. Finally, all products were evaluated against in situ measurements of soil moisture (SM). To achieve such a goal a set of metrics to evaluate different satellite products are suggested.The study demonstrated that the V620 shows a significant improvement (including those at L1 improving L2) with respect to the earlier version V551. Results also show that neural network based approaches can often yield excellent results over areas where other products are poor. Finally, global comparison indicates that SMOS behaves very well when compared to other sensors/approaches and gives consistent results over all surfaces from very dry (African Sahel, Arizona), to wet (tropical rain forests). RFI (Radio Frequency Interference) is still an issue even though detection has been greatly improved through the significant reduction of RFI sources in several areas of the world. When compared to other satellite products, the analysis shows that SMOS achieves its expected goals and is globally consistent over different eco climate regions from low to high latitudes and throughout the seasons.
dc.language.isoen
dc.publisherElsevier
dc.subject.enSoil moisture
dc.subject.enSMOS
dc.subject.enValidation
dc.subject.enProduct inter-comparison
dc.subject.enRetrieval accuracy metrics
dc.subject.enNeural networks
dc.title.enOverview of SMOS performance in terms of global soil moisture monitoring after six years in operation
dc.typeArticle de revue
dc.identifier.doi10.1016/j.rse.2016.02.042
dc.subject.halSciences de l'environnement/Ingénierie de l'environnement
dc.subject.halPhysique [physics]/Physique [physics]/Physique Atmosphérique et Océanique [physics.ao-ph]
dc.subject.halPlanète et Univers [physics]/Sciences de la Terre/Hydrologie
bordeaux.journalRemote Sensing of Environment
bordeaux.page40-63
bordeaux.volume180
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierinsu-01321425
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//insu-01321425v1
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