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hal.structure.identifierHanoi University of Science and Technology [HUST]
dc.contributor.authorPHAM-DUC, Binh
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorFRAPPART, Frédéric
hal.structure.identifierHanoi University of Mining and Geology [HUMG]
dc.contributor.authorTRAN-ANH, Quan
hal.structure.identifierHanoi University of Science and Technology [HUST]
dc.contributor.authorSI, Son Tong
hal.structure.identifierHanoi University of Science and Technology [HUST]
dc.contributor.authorPHAN, Hien
hal.structure.identifierHanoi University of Science and Technology [HUST]
dc.contributor.authorQUOC, Son Nguyen
hal.structure.identifierHanoi University of Science and Technology [HUST]
dc.contributor.authorLE, Anh Pham
hal.structure.identifierSon La Hydro Power Plant
dc.contributor.authorVIET, Bach Do
dc.date.accessioned2024-04-08T11:46:32Z
dc.date.available2024-04-08T11:46:32Z
dc.date.issued2022-08-18
dc.identifier.issn2072-4292
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/195237
dc.description.abstractEnThis study estimates monthly variation of surface water volume of Thac Mo hydroelectric reservoir (located in South Vietnam), during the 2016–2021 period. Variation of surface water volume is estimated based on variation of surface water extent, derived from Sentinel-1 observations, and variation of surface water level, derived from Jason-3 altimetry data. Except for drought years in 2019 and 2020, surface water extent of Thac Mo reservoir varies in the range 50–100 km2, while its water level varies in the range 202–217 m. Correlation between these two components is high (R = 0.948), as well as correlation between surface water maps derived from Sentinel-1 and free-cloud Sentinel-2 observations (R = 0.98), and correlation between surface water level derived from Jason-3 altimetry data and from in situ measurement (R = 0.99; RMSE = 0.86 m). We showed that water volume of Thac Mo reservoir varies between −0.3 and 0.4 km3 month−1, and it is in a very good agreement with in situ measurement (R = 0.95; RMSE = 0.0682 km3 month−1). This study highlights the advantages in using different types of satellite observations and data for monitoring variation of lakes’ water storage, which is very important for regional hydrological models. Similar research can be applied to monitor lakes in remote areas where in situ measurements are not available, or cannot be accessed freely.
dc.language.isoen
dc.publisherMDPI
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subject.enlake volume monitoring
dc.subject.ensatellite data
dc.subject.enSentinel-1
dc.subject.enSentinel-2
dc.subject.enJason-3
dc.subject.enaltimetry data
dc.subject.enThac Mo reservoir
dc.subject.enVietnam
dc.title.enMonitoring Lake Volume Variation from Space Using Satellite Observations—A Case Study in Thac Mo Reservoir (Vietnam)
dc.typeArticle de revue
dc.identifier.doi10.3390/rs14164023
dc.subject.halSciences de l'environnement
bordeaux.journalRemote Sensing
bordeaux.page1-18
bordeaux.volume14
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.issue16
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-03770572
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03770572v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Remote%20Sensing&rft.date=2022-08-18&rft.volume=14&rft.issue=16&rft.spage=1-18&rft.epage=1-18&rft.eissn=2072-4292&rft.issn=2072-4292&rft.au=PHAM-DUC,%20Binh&FRAPPART,%20Fr%C3%A9d%C3%A9ric&TRAN-ANH,%20Quan&SI,%20Son%20Tong&PHAN,%20Hien&rft.genre=article


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