Articles | Volume 14, issue 12
https://doi.org/10.5194/essd-14-5671-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-5671-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
22 Dec 2022
Data description paper |
| 22 Dec 2022
| 22 Dec 2022
High-resolution water level and storage variation datasets for 338 reservoirs in China during 2010–2021
Youjiang Shen
State Key Laboratory of Water Resources and Hydropower Engineering
Science, Wuhan University, Wuhan 430072, China
Dedi Liu
CORRESPONDING AUTHOR
State Key Laboratory of Water Resources and Hydropower Engineering
Science, Wuhan University, Wuhan 430072, China
Liguang Jiang
School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
Karina Nielsen
DTU Space, National Space Institute, Technical University of Denmark, 2800 Kongens Lyngby, Denmark
Jiabo Yin
State Key Laboratory of Water Resources and Hydropower Engineering
Science, Wuhan University, Wuhan 430072, China
Jun Liu
Department of Environmental Engineering, Technical University of
Denmark, 2800 Kongens Lyngby, Denmark
Peter Bauer-Gottwein
Department of Environmental Engineering, Technical University of
Denmark, 2800 Kongens Lyngby, Denmark
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Cited
13 citations as recorded by crossref.
- Combining Satellite Imagery and a Deep Learning Algorithm to Retrieve the Water Levels of Small Reservoirs J. Wu et al. 10.3390/rs15245740
- The impact of flood regime on river floodplain vegetation coverage: Insights from a 30-year Landsat record S. Huang et al. 10.1016/j.jhydrol.2023.130355
- Quantifying the impacts of climate change and human activities on runoff and suspended sediment load in the Lhasa River Basin, Tibetan Plateau W. Zhang et al. 10.1002/esp.5917
- Res-CN (Reservoir dataset in China): hydrometeorological time series and landscape attributes across 3254 Chinese reservoirs Y. Shen et al. 10.5194/essd-15-2781-2023
- Toward Improved Parameterizations of Reservoir Operation in Ungauged Basins: A Synergistic Framework Coupling Satellite Remote Sensing, Hydrologic Modeling, and Conceptual Operation Schemes N. Dong et al. 10.1029/2022WR033026
- Improving on mapping long-term surface water with a novel framework based on the Landsat imagery series L. Lan et al. 10.1016/j.jenvman.2024.120202
- Reconstruction of long-term high-resolution lake variability: Algorithm improvement and applications in China L. Feng et al. 10.1016/j.rse.2023.113775
- Enhanced water level monitoring for small and complex inland water bodies using multi-satellite remote sensing K. Han et al. 10.1016/j.envsoft.2024.106169
- Surface Water–Groundwater Transformation Patterns in the Jianghan Plain after the Impoundment of the Three Gorges Project and the Opening of the Yangtze-to-Hanjiang Water Transfer Project J. Feng et al. 10.3390/w15162952
- Quantifying the impact of dams on global streamflow over the period of 1985–2014 D. Han et al. 10.1088/1748-9326/ad6a70
- High resolution annual irrigation water use maps in China based-on input variables selection and convolutional neural networks J. Zhang et al. 10.1016/j.jclepro.2023.136974
- A Spectral Precursor Indicative of Artificial Water Reservoir-Induced Seismicity: Observations from the Xiangjiaba Reservoir, Southwestern China Z. Fu et al. 10.3390/w16162217
- A review of globally available data sources for modelling the Water-Energy-Food Nexus J. Lodge et al. 10.1016/j.earscirev.2023.104485
13 citations as recorded by crossref.
- Combining Satellite Imagery and a Deep Learning Algorithm to Retrieve the Water Levels of Small Reservoirs J. Wu et al. 10.3390/rs15245740
- The impact of flood regime on river floodplain vegetation coverage: Insights from a 30-year Landsat record S. Huang et al. 10.1016/j.jhydrol.2023.130355
- Quantifying the impacts of climate change and human activities on runoff and suspended sediment load in the Lhasa River Basin, Tibetan Plateau W. Zhang et al. 10.1002/esp.5917
- Res-CN (Reservoir dataset in China): hydrometeorological time series and landscape attributes across 3254 Chinese reservoirs Y. Shen et al. 10.5194/essd-15-2781-2023
- Toward Improved Parameterizations of Reservoir Operation in Ungauged Basins: A Synergistic Framework Coupling Satellite Remote Sensing, Hydrologic Modeling, and Conceptual Operation Schemes N. Dong et al. 10.1029/2022WR033026
- Improving on mapping long-term surface water with a novel framework based on the Landsat imagery series L. Lan et al. 10.1016/j.jenvman.2024.120202
- Reconstruction of long-term high-resolution lake variability: Algorithm improvement and applications in China L. Feng et al. 10.1016/j.rse.2023.113775
- Enhanced water level monitoring for small and complex inland water bodies using multi-satellite remote sensing K. Han et al. 10.1016/j.envsoft.2024.106169
- Surface Water–Groundwater Transformation Patterns in the Jianghan Plain after the Impoundment of the Three Gorges Project and the Opening of the Yangtze-to-Hanjiang Water Transfer Project J. Feng et al. 10.3390/w15162952
- Quantifying the impact of dams on global streamflow over the period of 1985–2014 D. Han et al. 10.1088/1748-9326/ad6a70
- High resolution annual irrigation water use maps in China based-on input variables selection and convolutional neural networks J. Zhang et al. 10.1016/j.jclepro.2023.136974
- A Spectral Precursor Indicative of Artificial Water Reservoir-Induced Seismicity: Observations from the Xiangjiaba Reservoir, Southwestern China Z. Fu et al. 10.3390/w16162217
- A review of globally available data sources for modelling the Water-Energy-Food Nexus J. Lodge et al. 10.1016/j.earscirev.2023.104485
Latest update: 22 Nov 2024
Short summary
A data gap of 338 Chinese reservoirs with their surface water area (SWA), water surface elevation (WSE), and reservoir water storage change (RWSC) during 2010–2021. Validation against the in situ observations of 93 reservoirs indicates the relatively high accuracy and reliability of the datasets. The unique and novel remotely sensed dataset would benefit studies involving many aspects (e.g., hydrological models, water resources related studies, and more).
A data gap of 338 Chinese reservoirs with their surface water area (SWA), water surface...
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