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Soil Moisture Monitoring at Kilometer Scale: Assimilation of Sentinel-1 Products in ISBA

hal.structure.identifierCentre national de recherches météorologiques [CNRM]
dc.contributor.authorROJAS-MUNOZ, Oscar
hal.structure.identifierCentre national de recherches météorologiques [CNRM]
dc.contributor.authorCALVET, Jean-Christophe
hal.structure.identifierCentre national de recherches météorologiques [CNRM]
dc.contributor.authorBONAN, Bertrand
hal.structure.identifierTerritoires, Environnement, Télédétection et Information Spatiale [UMR TETIS]
dc.contributor.authorBAGHDADI, Nicolas
hal.structure.identifierCentre national de recherches météorologiques [CNRM]
dc.contributor.authorMEUREY, Catherine
hal.structure.identifierCentre national de recherches météorologiques [CNRM]
dc.contributor.authorNAPOLY, Adrien
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorJ.-P., Wigneron
hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorZRIBI, Mehrez
dc.date.accessioned2024-04-08T11:42:46Z
dc.date.available2024-04-08T11:42:46Z
dc.date.issued2023-09-02
dc.identifier.issn2072-4292
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/195085
dc.description.abstractEnObserved by satellites for more than a decade, surface soil moisture (SSM) is an essential component of the Earth system. Today, with the Sentinel missions, SSM can be derived at a subkilometer spatial resolution. In this work, aggregated 1 km × 1 km SSM observations combining Sentinel-1 (S1) and Sentinel-2 (S2) data are assimilated for the first time into the Interactions between Soil, Biosphere, and Atmosphere (ISBA) land surface model using the global Land Data Assimilation System (LDAS-Monde) tool of Meteo-France. The ISBA simulations are driven by atmospheric variables from the Application of Research to Operations at Mesoscale (AROME) numerical weather prediction model for the period 2017-2019 for two regions in Southern France, Toulouse and Montpellier, and for the Salamanca region in Spain. The S1 SSM shows a good agreement with in situ SSM observations. The S1 SSM is assimilated either alone or together with leaf area index (LAI) observations from the PROBA-V satellite. The assimilation of S1 SSM alone has a small impact on the simulated root zone soil moisture. On the other hand, a marked impact of the assimilation is observed over agricultural areas when LAI is assimilated, and the impact is larger when S1 SSM and LAI are assimilated together.
dc.language.isoen
dc.publisherMDPI
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subject.endata assimilation
dc.subject.ensoil moisture
dc.subject.enleaf area index
dc.subject.enSentinel-1
dc.title.enSoil Moisture Monitoring at Kilometer Scale: Assimilation of Sentinel-1 Products in ISBA
dc.typeArticle de revue
dc.identifier.doi10.3390/rs15174329
dc.subject.halSciences de l'environnement
bordeaux.journalRemote Sensing
bordeaux.page4329
bordeaux.volume15
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.issue17
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifiermeteo-04196087
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//meteo-04196087v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Remote%20Sensing&rft.date=2023-09-02&rft.volume=15&rft.issue=17&rft.spage=4329&rft.epage=4329&rft.eissn=2072-4292&rft.issn=2072-4292&rft.au=ROJAS-MUNOZ,%20Oscar&CALVET,%20Jean-Christophe&BONAN,%20Bertrand&BAGHDADI,%20Nicolas&MEUREY,%20Catherine&rft.genre=article


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