Monitoring Lake Volume Variation from Space Using Satellite Observations—A Case Study in Thac Mo Reservoir (Vietnam)
This 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...
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| Format: | Article |
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MDPI AG
2022-08-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/14/16/4023 |
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| author | Binh Pham-Duc Frederic Frappart Quan Tran-Anh Son Tong Si Hien Phan Son Nguyen Quoc Anh Pham Le Bach Do Viet |
| author_facet | Binh Pham-Duc Frederic Frappart Quan Tran-Anh Son Tong Si Hien Phan Son Nguyen Quoc Anh Pham Le Bach Do Viet |
| author_sort | Binh Pham-Duc |
| collection | DOAJ |
| description | This 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 km<sup>2</sup>, 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 km<sup>3</sup> month<sup>−1</sup>, and it is in a very good agreement with in situ measurement (R = 0.95; RMSE = 0.0682 km<sup>3</sup> month<sup>−1</sup>). 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. |
| first_indexed | 2024-03-09T03:53:56Z |
| format | Article |
| id | doaj.art-ef1da20542304b3aa0b8a386d7901bd6 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T03:53:56Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-ef1da20542304b3aa0b8a386d7901bd62023-12-03T14:24:41ZengMDPI AGRemote Sensing2072-42922022-08-011416402310.3390/rs14164023Monitoring Lake Volume Variation from Space Using Satellite Observations—A Case Study in Thac Mo Reservoir (Vietnam)Binh Pham-Duc0Frederic Frappart1Quan Tran-Anh2Son Tong Si3Hien Phan4Son Nguyen Quoc5Anh Pham Le6Bach Do Viet7REMOSAT, University of Science and Technology of Hanoi, Vietnam Academy of Science and Technology, Hanoi 10000, VietnamINRAE, Bordeaux Sciences Agro, UMR 1391 ISPA, 33140 Villenave-d’Ornon, FranceFaculty of Environment, Hanoi University of Mining and Geology, Hanoi 10000, VietnamREMOSAT, University of Science and Technology of Hanoi, Vietnam Academy of Science and Technology, Hanoi 10000, VietnamREMOSAT, University of Science and Technology of Hanoi, Vietnam Academy of Science and Technology, Hanoi 10000, VietnamREMOSAT, University of Science and Technology of Hanoi, Vietnam Academy of Science and Technology, Hanoi 10000, VietnamREMOSAT, University of Science and Technology of Hanoi, Vietnam Academy of Science and Technology, Hanoi 10000, VietnamSon La Hydro Power Plant, Son La 34000, VietnamThis 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 km<sup>2</sup>, 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 km<sup>3</sup> month<sup>−1</sup>, and it is in a very good agreement with in situ measurement (R = 0.95; RMSE = 0.0682 km<sup>3</sup> month<sup>−1</sup>). 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.https://www.mdpi.com/2072-4292/14/16/4023lake volume monitoringsatellite dataSentinel-1Sentinel-2Jason-3altimetry data |
| spellingShingle | Binh Pham-Duc Frederic Frappart Quan Tran-Anh Son Tong Si Hien Phan Son Nguyen Quoc Anh Pham Le Bach Do Viet Monitoring Lake Volume Variation from Space Using Satellite Observations—A Case Study in Thac Mo Reservoir (Vietnam) Remote Sensing lake volume monitoring satellite data Sentinel-1 Sentinel-2 Jason-3 altimetry data |
| title | Monitoring Lake Volume Variation from Space Using Satellite Observations—A Case Study in Thac Mo Reservoir (Vietnam) |
| title_full | Monitoring Lake Volume Variation from Space Using Satellite Observations—A Case Study in Thac Mo Reservoir (Vietnam) |
| title_fullStr | Monitoring Lake Volume Variation from Space Using Satellite Observations—A Case Study in Thac Mo Reservoir (Vietnam) |
| title_full_unstemmed | Monitoring Lake Volume Variation from Space Using Satellite Observations—A Case Study in Thac Mo Reservoir (Vietnam) |
| title_short | Monitoring Lake Volume Variation from Space Using Satellite Observations—A Case Study in Thac Mo Reservoir (Vietnam) |
| title_sort | monitoring lake volume variation from space using satellite observations a case study in thac mo reservoir vietnam |
| topic | lake volume monitoring satellite data Sentinel-1 Sentinel-2 Jason-3 altimetry data |
| url | https://www.mdpi.com/2072-4292/14/16/4023 |
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