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Automatic Detection of Inland Water Bodies Along Altimetry Tracks Using Radar Backscattering

hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorFRAPPART, F.
hal.structure.identifierLaboratoire d'études en Géophysique et océanographie spatiales [LEGOS]
dc.contributor.authorZEIGER, P.
hal.structure.identifierForêts et Sociétés [UPR Forêts et Sociétés]
hal.structure.identifierDépartement Environnements et Sociétés [Cirad-ES]
dc.contributor.authorBETBEDER, J.
hal.structure.identifierForêts et Sociétés [UPR Forêts et Sociétés]
hal.structure.identifierDépartement Environnements et Sociétés [Cirad-ES]
dc.contributor.authorGOND, V.
dc.contributor.authorBELLOT, R.
hal.structure.identifierTerritoires, Environnement, Télédétection et Information Spatiale [UMR TETIS]
dc.contributor.authorBAGHDADI, N.
hal.structure.identifierLaboratoire d'études en Géophysique et océanographie spatiales [LEGOS]
dc.contributor.authorBLAREL, F.
hal.structure.identifierGéosciences Environnement Toulouse [GET]
dc.contributor.authorDARROZES, José
hal.structure.identifierGéosciences Environnement Toulouse [GET]
dc.contributor.authorBOURREL, L.
hal.structure.identifierInstitut de Recherche pour le Développement [IRD]
dc.contributor.authorSEYLER, F.
dc.date.accessioned2024-04-08T11:45:22Z
dc.date.available2024-04-08T11:45:22Z
dc.date.issued2021-07
dc.date.conference2021-07-11
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/195189
dc.description.abstractEnGRACE spherical harmonics are well-adapted for representation of hydrological signals in river drainage basins of large size such as the Amazon or Mississippi basins. However, when one needs to study smaller drainage basins, one comes up against the low spatial resolution of the solutions in spherical harmonics. To overcome this limitation, we propose a new approach based on Slepian functions which can reduce the energy loss by integrating information in the spatial, spectral and time domains. Another advantage of these regionally-defined functions is the reduction of the problem dimensions compared to the spherical harmonic parameters. This also induces a drastic reduction of the computational time. These Slepian functions are used to invert the GRACE satellite data to restore the water mass fluxes of different hydro-climatologic environments in Africa. We apply them to two African drainage basins chosen for their size of medium scale and their geometric specificities: the Congo river basin with a quasi-isotropic shape and the Nile river basin with an anisotropic and more complex shape. Time series of Slepian coefficients have been estimated from real along-track GRACE geopotential differences for about ten years, and these coefficients are in agreement with both the spherical harmonic solutions provided by the official centers CSR, GFZ, JPL and the GLDAS model used for validation. The Slepian function analysis highlights the water mass variations at sub-basin scales in both basins.
dc.language.isoen
dc.publisherIEEE
dc.title.enAutomatic Detection of Inland Water Bodies Along Altimetry Tracks Using Radar Backscattering
dc.typeCommunication dans un congrès
dc.identifier.doi10.1109/IGARSS47720.2021.9553223
dc.subject.halSciences de l'environnement
bordeaux.page6052-6055
bordeaux.volume68
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.issue2
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.conference.titleIGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium
bordeaux.countryBE
bordeaux.conference.cityBrussels
bordeaux.peerReviewedoui
hal.identifierhal-03910426
hal.version1
hal.invitednon
hal.proceedingsnon
hal.conference.end2021-07-16
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03910426v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2021-07&rft.volume=68&rft.issue=2&rft.spage=6052-6055&rft.epage=6052-6055&rft.au=FRAPPART,%20F.&ZEIGER,%20P.&BETBEDER,%20J.&GOND,%20V.&BELLOT,%20R.&rft.genre=unknown


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