Articles | Volume 21, issue 12
https://doi.org/10.5194/hess-21-6445-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-21-6445-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Monitoring small reservoirs' storage with satellite remote sensing in inaccessible areas
Department of Civil Engineering and Water Engineering, Université Laval, Québec, QC G1V 0A6, Canada
Amaury Tilmant
Department of Civil Engineering and Water Engineering, Université Laval, Québec, QC G1V 0A6, Canada
Marc François Müller
Department of Civil & Environmental Engineering & Earth Science, University of Notre Dame, Notre Dame, IN 46556, USA
Hua Zhang
Department of Engineering, School of Engineering and Computing Sciences, Texas A & M University – Corpus Christi, Corpus Christi, TX 78412, USA
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- Remotely sensed reservoir water storage dynamics (1984–2015) and the influence of climate variability and management at a global scale J. Hou et al. 10.5194/hess-26-3785-2022
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- Towards a global Reservoir Assessment Tool for predicting hydrologic impacts and operating patterns of existing and planned reservoirs N. Biswas et al. 10.1016/j.envsoft.2021.105043
- High Cadence Monitoring of Reservoir Volume Fluctuations Using PlanetScope Imagery M. Karaman 10.1016/j.jhydrol.2022.127456
- Estimating Reservoir Release Using Multi-Source Satellite Datasets and Hydrological Modeling Techniques Y. Shen et al. 10.3390/rs14040815
- Monthly estimation of the surface water extent in France at a 10-m resolution using Sentinel-2 data X. Yang et al. 10.1016/j.rse.2020.111803
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3 citations as recorded by crossref.
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- Assessment of the geometry and volumes of small surface water reservoirs by remote sensing in a semi-arid region with high reservoir density B. Pereira et al. 10.1080/02626667.2019.1566727
- Comparative assessment of remote sensing–based water dynamic in a dam lake using a combination of Sentinel-2 data and digital elevation model M. Karaman & E. Özelkan 10.1007/s10661-021-09703-w
Latest update: 24 Dec 2024
Short summary
Information on small reservoir storage is crucial for water management in a river basin. However, it is most of the time not freely available in remote, ungauged, or conflict-torn areas. We propose a novel approach using satellite imagery information only to quantitatively estimate storage variations in such inaccessible areas. We apply the method to southern Syria, where ground monitoring is impeded by the ongoing civil war, and validate it against in situ measurements in neighbouring Jordan.
Information on small reservoir storage is crucial for water management in a river basin....