Monitoring Variation of Reservoir Water Volume Using SAR Sentinel-1 Observations and Jason-3 Radar Altimetry Data
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IEEE International Symposium on Geoscience and Remote Sensing IGARSS, IEEE International Symposium on Geoscience and Remote Sensing IGARSS, IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022-07-17, Kuala Lumpur. 2023p. 7988-7991
IEEE
Resumen en inglés
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 ...Leer más >
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%.< Leer menos
Palabras clave en inglés
Sentinel-1
Jason-3
satellite altimetry
water volume monitoring
Thac Mo reservoir (Vietnam)
Google Earth
Orígen
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