Articles | Volume 18, issue 11
https://doi.org/10.5194/hess-18-4467-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-18-4467-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
07 Nov 2014
Research article |
| 07 Nov 2014
Evaluation of the satellite-based Global Flood Detection System for measuring river discharge: influence of local factors
B. Revilla-Romero
CORRESPONDING AUTHOR
European Commission Joint Research Centre, Ispra, Italy
Utrecht University, Faculty of Geosciences, Utrecht, the Netherlands
J. Thielen
European Commission Joint Research Centre, Ispra, Italy
P. Salamon
European Commission Joint Research Centre, Ispra, Italy
T. De Groeve
European Commission Joint Research Centre, Ispra, Italy
G. R. Brakenridge
University of Colorado Boulder, Boulder, USA
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- Estimation of river discharge using satellite-derived flow signals and artificial neural network model: application to imjin river L. Li et al. 10.3741/JKWRA.2016.49.7.589
- A review of methods for monitoring streamflow for sustainable water resource management P. Dobriyal et al. 10.1007/s13201-016-0488-y
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- Design with nature: Causation and avoidance of catastrophic flooding, Myanmar G. Brakenridge et al. 10.1016/j.earscirev.2016.12.009
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Short summary
One of the main challenges in global hydrological modelling is the limited availability of observational data for calibration and model verification. The aim of this study is to test the potentials and constraints of the remote sensing signal of the Global Flood Detection System (GFDS) for converting the flood detection signal into river discharge values. This work also provides a first analysis of the local factors influencing the accuracy of discharge measurement as provided by this system.
One of the main challenges in global hydrological modelling is the limited availability of...
