Satellite altimetry for Indian reservoirs
Satellite radar altimetry has immense potential for monitoring fresh surface water resources and predicting the intra-seasonal, seasonal, and inter-annual variability of inundated surface water over large river basins. As part of the Preparation for the Surface Water and Ocean Topography mission sch...
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| Format: | Article |
| Language: | English |
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Elsevier
2021-12-01
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| Series: | Water Science and Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1674237021000946 |
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| author | Kaushlendra Verma Akhilesh S. Nair Indu Jayaluxmi Subhankar Karmakar Stephane Calmant |
| author_facet | Kaushlendra Verma Akhilesh S. Nair Indu Jayaluxmi Subhankar Karmakar Stephane Calmant |
| author_sort | Kaushlendra Verma |
| collection | DOAJ |
| description | Satellite radar altimetry has immense potential for monitoring fresh surface water resources and predicting the intra-seasonal, seasonal, and inter-annual variability of inundated surface water over large river basins. As part of the Preparation for the Surface Water and Ocean Topography mission scheduled for launch in mid-2022, the present study aimed to evaluate the performance of radar altimetry over the inland water bodies of India. The Joint Altimetry Satellite Oceanography Network (Jason) and Satellite with ARgos and ALtiKa (SARAL/AltiKa) data were used to derive the water levels of 18 major reservoirs in India by incorporating the geophysical and propagation corrections into the radar range. In situ gauge data were used to evaluate the performance of the altimetry-derived water level time series from 2008 to 2019. The results showed a strong correlation between Jason-2 and in situ data with the determination coefficient (R2) and root mean squared error (RMSE) ranging from 0.96 to 0.99 and from 0.28 m to 1.62 m, respectively. The Jason-3 data had the highest correlation with the in situ observation (R2 = 0.99) and the lowest correlation (R2 = 0.82), with RMSE values ranging from 0.11 m to 1.18 m. With an R2 range of 0.93–0.99 and an RMSE range of 0.20–1.05 m, the SARAL/AltiKa mission presented greater accuracy than the Jason altimetry mission. The estimated water levels can be utilized in remote, inaccessible, or ungauged areas and in international transboundary rivers for water storage and river discharge estimations. However, the accuracy of remotely sensed data depends on such factors as along-track distance, water body area, and geographical and terrain conditions near water bodies. |
| first_indexed | 2024-12-14T08:33:38Z |
| format | Article |
| id | doaj.art-1867233348f54fabbbf2be9b150867aa |
| institution | Directory Open Access Journal |
| issn | 1674-2370 |
| language | English |
| last_indexed | 2024-12-14T08:33:38Z |
| publishDate | 2021-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Water Science and Engineering |
| spelling | doaj.art-1867233348f54fabbbf2be9b150867aa2022-12-21T23:09:27ZengElsevierWater Science and Engineering1674-23702021-12-01144277285Satellite altimetry for Indian reservoirsKaushlendra Verma0Akhilesh S. Nair1Indu Jayaluxmi2Subhankar Karmakar3Stephane Calmant4Department of Civil Engineering, Indian Institute of Technology, Bombay 400076, IndiaDepartment of Civil Engineering, Indian Institute of Technology, Bombay 400076, India; Geophysical Institute, University of Bergen, Bergen 5020, NorwayDepartment of Civil Engineering, Indian Institute of Technology, Bombay 400076, India; IDP in Climate Studies, Indian Institute of Technology, Bombay 400076, India; Corresponding author.IDP in Climate Studies, Indian Institute of Technology, Bombay 400076, India; Environmental Science & Engineering Department, Indian Institute of Technology, Bombay 400076, IndiaInstitut de Recherche pour le Developpement (IRD), Laboratoire D’études En Géophysique Et Océanographie Spatiales, France, in Deputation at IISc, Bangalore 560012, IndiaSatellite radar altimetry has immense potential for monitoring fresh surface water resources and predicting the intra-seasonal, seasonal, and inter-annual variability of inundated surface water over large river basins. As part of the Preparation for the Surface Water and Ocean Topography mission scheduled for launch in mid-2022, the present study aimed to evaluate the performance of radar altimetry over the inland water bodies of India. The Joint Altimetry Satellite Oceanography Network (Jason) and Satellite with ARgos and ALtiKa (SARAL/AltiKa) data were used to derive the water levels of 18 major reservoirs in India by incorporating the geophysical and propagation corrections into the radar range. In situ gauge data were used to evaluate the performance of the altimetry-derived water level time series from 2008 to 2019. The results showed a strong correlation between Jason-2 and in situ data with the determination coefficient (R2) and root mean squared error (RMSE) ranging from 0.96 to 0.99 and from 0.28 m to 1.62 m, respectively. The Jason-3 data had the highest correlation with the in situ observation (R2 = 0.99) and the lowest correlation (R2 = 0.82), with RMSE values ranging from 0.11 m to 1.18 m. With an R2 range of 0.93–0.99 and an RMSE range of 0.20–1.05 m, the SARAL/AltiKa mission presented greater accuracy than the Jason altimetry mission. The estimated water levels can be utilized in remote, inaccessible, or ungauged areas and in international transboundary rivers for water storage and river discharge estimations. However, the accuracy of remotely sensed data depends on such factors as along-track distance, water body area, and geographical and terrain conditions near water bodies.http://www.sciencedirect.com/science/article/pii/S1674237021000946Satellite altimetryInland water bodyReservoirSWOTSARAL/AltiKa |
| spellingShingle | Kaushlendra Verma Akhilesh S. Nair Indu Jayaluxmi Subhankar Karmakar Stephane Calmant Satellite altimetry for Indian reservoirs Water Science and Engineering Satellite altimetry Inland water body Reservoir SWOT SARAL/AltiKa |
| title | Satellite altimetry for Indian reservoirs |
| title_full | Satellite altimetry for Indian reservoirs |
| title_fullStr | Satellite altimetry for Indian reservoirs |
| title_full_unstemmed | Satellite altimetry for Indian reservoirs |
| title_short | Satellite altimetry for Indian reservoirs |
| title_sort | satellite altimetry for indian reservoirs |
| topic | Satellite altimetry Inland water body Reservoir SWOT SARAL/AltiKa |
| url | http://www.sciencedirect.com/science/article/pii/S1674237021000946 |
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