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Automatic Detection of Inland Water Bodies along Altimetry Tracks for Estimating Surface Water Storage Variations in the Congo Basin

hal.structure.identifierLaboratoire d'études en Géophysique et océanographie spatiales [LEGOS]
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorFRAPPART, Frédéric
hal.structure.identifierLaboratoire d'études en Géophysique et océanographie spatiales [LEGOS]
dc.contributor.authorZEIGER, Pierre
hal.structure.identifierForêts et Sociétés [UPR Forêts et Sociétés]
hal.structure.identifierDépartement Environnements et Sociétés [Cirad-ES]
dc.contributor.authorBETBEDER, Julie
hal.structure.identifierForêts et Sociétés [UPR Forêts et Sociétés]
hal.structure.identifierDépartement Environnements et Sociétés [Cirad-ES]
dc.contributor.authorGOND, Valéry
hal.structure.identifierInstitut National de l'Information Géographique et Forestière [IGN] [IGN]
dc.contributor.authorBELLOT, Régis
hal.structure.identifierTerritoires, Environnement, Télédétection et Information Spatiale [UMR TETIS]
dc.contributor.authorBAGHDADI, Nicolas
hal.structure.identifierLaboratoire d'études en Géophysique et océanographie spatiales [LEGOS]
dc.contributor.authorBLAREL, Fabien
hal.structure.identifierGéosciences Environnement Toulouse [GET]
dc.contributor.authorDARROZES, José
hal.structure.identifierGéosciences Environnement Toulouse [GET]
dc.contributor.authorBOURREL, Luc
hal.structure.identifierUMR 228 Espace-Dev, Espace pour le développement
dc.contributor.authorSEYLER, F.
dc.date.accessioned2024-04-08T11:50:20Z
dc.date.available2024-04-08T11:50:20Z
dc.date.issued2021-09-23
dc.identifier.issn2072-4292
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/195382
dc.description.abstractEnSurface water storage in floodplains and wetlands is poorly known from regional to global scales, in spite of its importance in the hydrological and the carbon balances, as the wet areas are an important water compartment which delays water transfer, modifies the sediment transport through sedimentation and erosion processes, and are a source for greenhouse gases. Remote sensing is a powerful tool for monitoring temporal variations in both the extent, level, and volume, of water using the synergy between satellite images and radar altimetry. Estimating water levels over flooded area using radar altimetry observation is difficult. In this study, an unsupervised classification approach is applied on the radar altimetry backscattering coefficients to discriminate between flooded and non-flooded areas in the Cuvette Centrale of Congo. Good detection of water (open water, permanent and seasonal inundation) is above 0.9 using radar altimetry backscattering from ENVISAT and Jason-2. Based on these results, the time series of water levels were automatically produced. They exhibit temporal variations in good agreement with the hydrological regime of the Cuvette Centrale. Comparisons against a manually generated time series of water levels from the same missions at the same locations show a very good agreement between the two processes (i.e., RMSE _ 0.25 m in more than 80%/90% of the cases and R _ 0.95 in more than 95%/75% of the cases for ENVISAT and Jason-2, respectively). The use of the time series of water levels over rivers and wetlands improves the spatial pattern of the annual amplitude of water storage in the Cuvette Centrale. It also leads to a decrease by a factor of four for the surface water estimates in this area, compared with a case where only time series over rivers are considered.
dc.language.isoen
dc.publisherMDPI
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subject.ensurface water storage
dc.subject.enCongo
dc.title.enAutomatic Detection of Inland Water Bodies along Altimetry Tracks for Estimating Surface Water Storage Variations in the Congo Basin
dc.typeArticle de revue
dc.identifier.doi10.3390/rs13193804
dc.subject.halSciences de l'environnement
bordeaux.journalRemote Sensing
bordeaux.page3804
bordeaux.volume13
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.issue19
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-03352440
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03352440v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Remote%20Sensing&rft.date=2021-09-23&rft.volume=13&rft.issue=19&rft.spage=3804&rft.epage=3804&rft.eissn=2072-4292&rft.issn=2072-4292&rft.au=FRAPPART,%20Fr%C3%A9d%C3%A9ric&ZEIGER,%20Pierre&BETBEDER,%20Julie&GOND,%20Val%C3%A9ry&BELLOT,%20R%C3%A9gis&rft.genre=article


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