Monitoring Variation of Reservoir Water Volume Using SAR Sentinel-1 Observations and Jason-3 Radar Altimetry Data
| hal.structure.identifier | Hanoi University of Science and Technology [HUST] | |
| dc.contributor.author | PHAM-DUC, Binh | |
| hal.structure.identifier | Interactions Sol Plante Atmosphère [UMR ISPA] | |
| dc.contributor.author | FRAPPART, Frédéric | |
| dc.date.accessioned | 2024-04-08T11:44:06Z | |
| dc.date.available | 2024-04-08T11:44:06Z | |
| dc.date.issued | 2023 | |
| dc.date.conference | 2022-07-17 | |
| dc.identifier.isbn | 978-1-6654-2792-0 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/195136 | |
| dc.description.abstractEn | This study estimates monthly variation of surface water volume of Thac Mo water reservoir, located in Binh Phuoc province, in South Vietnam, for the 2016–2021 period, using SAR Sentinel-1 observations and Jason-3 altimetry data. SAR Sentinel-1 observations have been pre-processed mainly using the Google Earth Engine cloud computing platform to estimate variation of surface water extent, while Jason-3 radar altimetry data has been processed using the AlTiS software to estimate variation of surface water level of the reservoir. Results show a very good agreement between variations of the reservoir's surface water volume derived from satellite data and that derived from in situ measurement, with a correlation of 95.4%. | |
| dc.language.iso | en | |
| dc.publisher | IEEE | |
| dc.source.title | IEEE International Symposium on Geoscience and Remote Sensing IGARSS | |
| dc.subject.en | Sentinel-1 | |
| dc.subject.en | Jason-3 | |
| dc.subject.en | satellite altimetry | |
| dc.subject.en | water volume monitoring | |
| dc.subject.en | Thac Mo reservoir (Vietnam) | |
| dc.subject.en | Google Earth | |
| dc.title.en | Monitoring Variation of Reservoir Water Volume Using SAR Sentinel-1 Observations and Jason-3 Radar Altimetry Data | |
| dc.type | Communication dans un congrès | |
| dc.identifier.doi | 10.1109/IGARSS46834.2022.9884320 | |
| dc.subject.hal | Sciences de l'environnement | |
| bordeaux.page | 7988-7991 | |
| bordeaux.hal.laboratories | Interactions Soil Plant Atmosphere (ISPA) - UMR 1391 | * |
| bordeaux.institution | Bordeaux Sciences Agro | |
| bordeaux.institution | INRAE | |
| bordeaux.conference.title | IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium | |
| bordeaux.country | MY | |
| bordeaux.title.proceeding | IEEE International Symposium on Geoscience and Remote Sensing IGARSS | |
| bordeaux.conference.city | Kuala Lumpur | |
| bordeaux.peerReviewed | oui | |
| hal.identifier | hal-04099709 | |
| hal.version | 1 | |
| hal.invited | non | |
| hal.proceedings | non | |
| hal.conference.end | 2022-07-22 | |
| hal.popular | non | |
| hal.audience | Internationale | |
| hal.origin.link | https://hal.archives-ouvertes.fr//hal-04099709v1 | |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=IEEE%20International%20Symposium%20on%20Geoscience%20and%20Remote%20Sensing%20IGARSS&rft.date=2023&rft.spage=7988-7991&rft.epage=7988-7991&rft.au=PHAM-DUC,%20Binh&FRAPPART,%20Fr%C3%A9d%C3%A9ric&rft.isbn=978-1-6654-2792-0&rft.genre=unknown |
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