Assessment of hydrological changes in inland water body using satellite altimetry and Landsat imagery: A case study on Tsengwen Reservoir
Study region: Tsengwen Reservoir, Taiwan. Study focus: Water level (WL) and water volume (WV) are important indicators for analyzing surface water resources. Satellite remote sensing enables continuous monitoring of inland water bodies in human-inaccessible areas. We integrate Landsat imagery and sa...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-12-01
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| Series: | Journal of Hydrology: Regional Studies |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214581822002403 |
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| author | Chi-Ming Lee Chung-Yen Kuo Chi-Hua Yang Huan-Chin Kao Kuo-Hsin Tseng Wen-Hau Lan |
| author_facet | Chi-Ming Lee Chung-Yen Kuo Chi-Hua Yang Huan-Chin Kao Kuo-Hsin Tseng Wen-Hau Lan |
| author_sort | Chi-Ming Lee |
| collection | DOAJ |
| description | Study region: Tsengwen Reservoir, Taiwan. Study focus: Water level (WL) and water volume (WV) are important indicators for analyzing surface water resources. Satellite remote sensing enables continuous monitoring of inland water bodies in human-inaccessible areas. We integrate Landsat imagery and satellite altimetry to derive long-term (2003–2020) WL and WV variations of Tsengwen Reservoir. First, water area (WA) was extracted from Landsat imagery by Modified Normalized Difference Water Index method and a second-order regression model is proposed to recover the entire WA from cloud-covered images to enhance the data usage. Then, WAs and WLs provided from satellite altimetry are utilized to build a linear regression model which is used to transfer WA into WL. Finally, WV was computed based on the WA and WL. New hydrological insights for the region: Results showed that the usage rate of Landsat-8 imagery utilized for conversion from WA to WL can be increased from 23% to 43%. Moreover, the root-mean-square error of the difference of WLs between the estimates and a local gauge is 2.95–5.56 m, with correlation coefficients (CC) of 0.93–0.99. In addition, the derived WV variations and ground truth showed a good agreement with CC in 0.88–0.97. The results indicated that the integration of multi-source remote sensing technologies can effectively provide long-term hydrological parameters to assist administrative agencies with an appropriate plan for water resources management. |
| first_indexed | 2024-04-11T10:15:07Z |
| format | Article |
| id | doaj.art-780d3fdf23444ac8acb2f7303399290d |
| institution | Directory Open Access Journal |
| issn | 2214-5818 |
| language | English |
| last_indexed | 2024-04-11T10:15:07Z |
| publishDate | 2022-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Hydrology: Regional Studies |
| spelling | doaj.art-780d3fdf23444ac8acb2f7303399290d2022-12-22T04:29:59ZengElsevierJournal of Hydrology: Regional Studies2214-58182022-12-0144101227Assessment of hydrological changes in inland water body using satellite altimetry and Landsat imagery: A case study on Tsengwen ReservoirChi-Ming Lee0Chung-Yen Kuo1Chi-Hua Yang2Huan-Chin Kao3Kuo-Hsin Tseng4Wen-Hau Lan5Department of Geomatics, National Cheng Kung University, No. 1, University Road, Tainan City 701, TaiwanDepartment of Geomatics, National Cheng Kung University, No. 1, University Road, Tainan City 701, TaiwanDepartment of Geomatics, National Cheng Kung University, No. 1, University Road, Tainan City 701, TaiwanDepartment of Civil Engineering and Geomatics, Cheng Shiu University, No. 840, Chengcing Road, Kaohsiung City 833, TaiwanDepartment of Civil Engineering, National Central University, No. 300, Zhongda Road, Taoyuan City 320, Taiwan; Center for Space and Remote Sensing Research, National Central University, No. 300, Zhongda Road, Taoyuan City 320, TaiwanDepartment of Communications, Navigation and Control Engineering, National Taiwan Ocean University, No. 2, Beining Road, Keelung City 202, Taiwan; Corresponding author.Study region: Tsengwen Reservoir, Taiwan. Study focus: Water level (WL) and water volume (WV) are important indicators for analyzing surface water resources. Satellite remote sensing enables continuous monitoring of inland water bodies in human-inaccessible areas. We integrate Landsat imagery and satellite altimetry to derive long-term (2003–2020) WL and WV variations of Tsengwen Reservoir. First, water area (WA) was extracted from Landsat imagery by Modified Normalized Difference Water Index method and a second-order regression model is proposed to recover the entire WA from cloud-covered images to enhance the data usage. Then, WAs and WLs provided from satellite altimetry are utilized to build a linear regression model which is used to transfer WA into WL. Finally, WV was computed based on the WA and WL. New hydrological insights for the region: Results showed that the usage rate of Landsat-8 imagery utilized for conversion from WA to WL can be increased from 23% to 43%. Moreover, the root-mean-square error of the difference of WLs between the estimates and a local gauge is 2.95–5.56 m, with correlation coefficients (CC) of 0.93–0.99. In addition, the derived WV variations and ground truth showed a good agreement with CC in 0.88–0.97. The results indicated that the integration of multi-source remote sensing technologies can effectively provide long-term hydrological parameters to assist administrative agencies with an appropriate plan for water resources management.http://www.sciencedirect.com/science/article/pii/S2214581822002403Landsat imagerySatellite altimetryWater levelWater volume |
| spellingShingle | Chi-Ming Lee Chung-Yen Kuo Chi-Hua Yang Huan-Chin Kao Kuo-Hsin Tseng Wen-Hau Lan Assessment of hydrological changes in inland water body using satellite altimetry and Landsat imagery: A case study on Tsengwen Reservoir Journal of Hydrology: Regional Studies Landsat imagery Satellite altimetry Water level Water volume |
| title | Assessment of hydrological changes in inland water body using satellite altimetry and Landsat imagery: A case study on Tsengwen Reservoir |
| title_full | Assessment of hydrological changes in inland water body using satellite altimetry and Landsat imagery: A case study on Tsengwen Reservoir |
| title_fullStr | Assessment of hydrological changes in inland water body using satellite altimetry and Landsat imagery: A case study on Tsengwen Reservoir |
| title_full_unstemmed | Assessment of hydrological changes in inland water body using satellite altimetry and Landsat imagery: A case study on Tsengwen Reservoir |
| title_short | Assessment of hydrological changes in inland water body using satellite altimetry and Landsat imagery: A case study on Tsengwen Reservoir |
| title_sort | assessment of hydrological changes in inland water body using satellite altimetry and landsat imagery a case study on tsengwen reservoir |
| topic | Landsat imagery Satellite altimetry Water level Water volume |
| url | http://www.sciencedirect.com/science/article/pii/S2214581822002403 |
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