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dc.rights.licenseopenen_US
hal.structure.identifierMethods and tools for gestural interactions [MINT]
dc.contributor.authorROUSSEL, Nicolas
hal.structure.identifierLaboratoire d'études en Géophysique et océanographie spatiales [LEGOS]
dc.contributor.authorRAMILLIEN, Guillaume
hal.structure.identifierLaboratoire d'études en Géophysique et océanographie spatiales [LEGOS]
dc.contributor.authorFRAPPART, Frédéric
hal.structure.identifierGéosciences Environnement Toulouse [GET]
dc.contributor.authorDARROZES, José
hal.structure.identifierCentre National d'Études Spatiales [Toulouse] [CNES]
dc.contributor.authorGAY, Adrien
hal.structure.identifierCentre National d'Études Spatiales [Toulouse] [CNES]
dc.contributor.authorBIANCALE, Richard
hal.structure.identifierObservatoire Midi-Pyrénées [OMP]
dc.contributor.authorSTRIEBIG, Nicolas
hal.structure.identifierEnvironnements et Paléoenvironnements OCéaniques [EPOC]
dc.contributor.authorHANQUIEZ, Vincent
hal.structure.identifierLIttoral ENvironnement et Sociétés [LIENSs]
dc.contributor.authorBERTIN, Xavier
hal.structure.identifierLaboratoire d'études en Géophysique et océanographie spatiales [LEGOS]
dc.contributor.authorALLAIN, Damien
dc.date.accessioned2024-06-06T12:17:41Z
dc.date.available2024-06-06T12:17:41Z
dc.date.issued2015-12
dc.identifier.issn0034-4257en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/200315
dc.description.abstractEnGNSS-Reflectometry (GNSS-R) altimetry has demonstrated a strong potential for sea level monitoring. Interference Pattern Technique (IPT) based on the analysis of the Signal-to-Noise Ratio (SNR) estimated by a GNSS receiver, presents the main advantage of being applicable everywhere by using a single geodetic antenna and receiver, transforming them to real tide gauges. Classical SNR analysis method used to estimate the variations of the reflecting surface height h(t) has a limited domain of validity due to its variation rate assumed to be negligible. We present here a significant advance in this altimetric methodology using GNSS multipath to conjointly estimate h(t) and over areas characterized by high amplitudes of tides and presence of waves. It drastically enhances the temporal and spatial monitoring of tides and waves. Inversion approach is based on a Least Square Method (LSM), combining simultaneous measurements from different GNSS constellations (GPS, GLONASS). Our method is validated with SNR data acquired on an offshore site of 60-meter height, in conditions were assumptions of the classical SNR analysis method are not valid (i.e. with a semi-diurnal tide amplitude of ~ 4 m, vertical velocity of the sea surface due to tide reaching 0.2 mm/s, and presence of waves with amplitude up to few meters). Linear correlation between the estimates with our method and tide gauges records are better than 0.97, whereas it only equals 0.82 with the classical method over the whole 3 months of acquisition. Our dynamic SNR method allows a very good estimate of the main tide periods and permits to detect swell and waves with realistic amplitudes and periods, which is not the case with tide gauges (located in protected areas) or classical SNR analysis method.
dc.language.isoENen_US
dc.title.enSea level monitoring and sea state estimate using a single geodetic receiver
dc.typeArticle de revueen_US
dc.identifier.doi10.1016/j.rse.2015.10.011en_US
dc.subject.halPlanète et Univers [physics]/Océan, Atmosphèreen_US
dc.subject.halPlanète et Univers [physics]/Interfaces continentales, environnementen_US
bordeaux.journalRemote Sensing of Environmenten_US
bordeaux.page261-277en_US
bordeaux.volume171en_US
bordeaux.hal.laboratoriesEPOC : Environnements et Paléoenvironnements Océaniques et Continentaux - UMR 5805en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionCNRSen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcehal
hal.identifierhal-02562477
hal.version1
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exportfalse
workflow.import.sourcehal
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Remote%20Sensing%20of%20Environment&rft.date=2015-12&rft.volume=171&rft.spage=261-277&rft.epage=261-277&rft.eissn=0034-4257&rft.issn=0034-4257&rft.au=ROUSSEL,%20Nicolas&RAMILLIEN,%20Guillaume&FRAPPART,%20Fr%C3%A9d%C3%A9ric&DARROZES,%20Jos%C3%A9&GAY,%20Adrien&rft.genre=article


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