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Quantification of surface water extent and volume in the Inner Niger Delta (IND) over 2000–2022 using multispectral imagery and radar altimetry

hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorNORMANDIN, Cassandra
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorFRAPPART, Frédéric
hal.structure.identifierGéosciences Environnement Toulouse [GET]
dc.contributor.authorBOURREL, Luc
hal.structure.identifierUniversité des Sciences, des Techniques et des Technologies de Bamako [USTTB]
dc.contributor.authorDIEPKILÉ, Adama
hal.structure.identifierGéosciences Environnement Toulouse [GET]
dc.contributor.authorMOUGIN, Eric
dc.contributor.authorZWARTS, Leo
hal.structure.identifierLaboratoire d'études en Géophysique et océanographie spatiales [LEGOS]
dc.contributor.authorBLAREL, Fabien
hal.structure.identifierLaboratoire d'études en Géophysique et océanographie spatiales [LEGOS]
dc.contributor.authorEGON, Flavien
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorJ.-P., Wigneron
dc.date.accessioned2024-04-08T11:37:40Z
dc.date.available2024-04-08T11:37:40Z
dc.date.issued2024-02-12
dc.identifier.issn1010-6049
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/195009
dc.description.abstractEnSpatio-temporal dynamics of surface water reservoirs at regional and global scales remain poorly understood. Using satellite remote sensing provides a unique opportunity to address this problem. This study aims to (1) quantify the extent and volume of surface water and (2) compare our approach with other datasets. We utilized MODIS-based spectral indices to monitor temporal variations in inundation extent. By interpolating water levels across the surface water extent, we generated water level maps and quantified surface water volume from 2000 to 2022. Evaluation against ICESat-2 data involved 64 comparisons, with approximately 58% showing an R 2 value greater than or equal to 0.5, and 38% were higher than or equal to 0.7. Compared to the flooding model, our method aligns more closely with ICESat-2 data, contrary to the flooding model which tends to overestimate water levels and, consequently, water storage.
dc.language.isoen
dc.rights.urihttp://creativecommons.org/licenses/by-nc/
dc.subject.enSurface water extent
dc.subject.ensurface water volume
dc.subject.enInner Niger Delta
dc.subject.enmultispectral imagery
dc.subject.enradar altimetry
dc.title.enQuantification of surface water extent and volume in the Inner Niger Delta (IND) over 2000–2022 using multispectral imagery and radar altimetry
dc.typeArticle de revue
dc.identifier.doi10.1080/10106049.2024.2311203
dc.subject.halSciences de l'environnement
bordeaux.journalGeocarto International
bordeaux.page2311203
bordeaux.volume39
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.issue1
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-04474410
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-04474410v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Geocarto%20International&rft.date=2024-02-12&rft.volume=39&rft.issue=1&rft.spage=2311203&rft.epage=2311203&rft.eissn=1010-6049&rft.issn=1010-6049&rft.au=NORMANDIN,%20Cassandra&FRAPPART,%20Fr%C3%A9d%C3%A9ric&BOURREL,%20Luc&DIEPKIL%C3%89,%20Adama&MOUGIN,%20Eric&rft.genre=article


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