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Regional Seafloor Topography by Extended Kalman Filtering of Marine Gravity Data without Ship-Track Information

hal.structure.identifierGéosciences Environnement Toulouse [GET]
dc.contributor.authorSEOANE, Lucía
hal.structure.identifierCentre National de la Recherche Scientifique [CNRS]
hal.structure.identifierGéosciences Environnement Toulouse [GET]
dc.contributor.authorRAMILLIEN, Guillaume
hal.structure.identifierGéosciences Environnement Toulouse [GET]
dc.contributor.authorBEIRENS, Benjamin
hal.structure.identifierGéosciences Environnement Toulouse [GET]
dc.contributor.authorDARROZES, José
hal.structure.identifierService Hydrographique et Océanographique de la Marine [SHOM]
dc.contributor.authorROUXEL, Didier
hal.structure.identifierService Hydrographique et Océanographique de la Marine [SHOM]
dc.contributor.authorSCHMITT, Thierry
hal.structure.identifierService Hydrographique et Océanographique de la Marine [SHOM]
dc.contributor.authorSALAÜN, Corinne
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorFRAPPART, Frédéric
dc.date.accessioned2024-04-08T11:49:21Z
dc.date.available2024-04-08T11:49:21Z
dc.date.issued2021-12-31
dc.identifier.issn2072-4292
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/195339
dc.description.abstractEnAbstract: An iterative Extended Kalman Filter (EKF) approach is proposed to recover a regional setof topographic heights composing an undersea volcanic mount by the successive combination oflarge numbers of gravity measurements at sea surface using altimetry satellite-derived grids andtaking the error uncertainties into account. The integration of the non-linear Newtonian operatorsversus the radial and angular distances (and its first derivatives) enables the estimation processto accelerate and requires only few iterations, instead of summing Legendre polynomial seriesor using noise-degraded 2D-FFT decomposition. To show the effectiveness of the EKF approach,we apply it to the real case of the bathymetry around the Great Meteor seamount in the AtlanticOcean by combining only geoid height/free-air anomaly datasets and using ship-track soundings asreference for validation. Topography of the Great Meteor seamounts structures are well-reconstructed,especially when regional compensation is considered. Best solution gives a RMS equal to 400 m withrespect to the single beam depth observations and it is comparable to RMS obtained for ETOPO1 ofabout 365 m. Larger discrepancies are located in the seamount flanks due to missing high-resolutioninformation for gradients. This approach can improve the knowledge of seafloor topography inregions where few echo-sounder measurements are available.
dc.language.isoen
dc.publisherMDPI
dc.subject.enbathymetry
dc.subject.enKalman Filter
dc.subject.enmarine gravity anomalies
dc.subject.ensatellite altimetry
dc.title.enRegional Seafloor Topography by Extended Kalman Filtering of Marine Gravity Data without Ship-Track Information
dc.typeArticle de revue
dc.identifier.doi10.3390/rs14010169
dc.subject.halPlanète et Univers [physics]
bordeaux.journalRemote Sensing
bordeaux.volume14
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-03522088
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03522088v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Remote%20Sensing&rft.date=2021-12-31&rft.volume=14&rft.eissn=2072-4292&rft.issn=2072-4292&rft.au=SEOANE,%20Luc%C3%ADa&RAMILLIEN,%20Guillaume&BEIRENS,%20Benjamin&DARROZES,%20Jos%C3%A9&ROUXEL,%20Didier&rft.genre=article


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