Calibration
; Catchments
; Decision trees
; Floods
; Remote sensing
; Satellites
; Signal detection
; Classification decision
; Discharge measurements
; Ground based measurement
; Ground observations
; Hydrological modelling
; Measurement locations
; Real-time application
; Validation analysis
; Rivers
; calibration
; data set
; flood
; grassland
; hazard management
; hydrological modeling
; ice cover
; leaf area index
; river discharge
; satellite data
; satellite imagery
; Africa
英文摘要:
One of the main challenges for global hydrological modelling is the limited availability of observational data for calibration and model verification. This is particularly the case for real-time applications. This problem could potentially be overcome if discharge measurements based on satellite data were sufficiently accurate to substitute for ground-based measurements. The aim of this study is to test the potentials and constraints of the remote sensing signal of the Global Flood Detection System for converting the flood detection signal into river discharge values.
The study uses data for 322 river measurement locations in Africa, Asia, Europe, North America and South America. Satellite discharge measurements were calibrated for these sites and a validation analysis with in situ discharge was performed. The locations with very good performance will be used in a future project where satellite discharge measurements are obtained on a daily basis to fill the gaps where real-time ground observations are not available. These include several international river locations in Africa: the Niger, Volta and Zambezi rivers.
European Commission Joint Research Centre, Ispra, Italy; Utrecht University, Faculty of Geosciences, Utrecht, Netherlands; University of Colorado Boulder, Boulder, United States
Recommended Citation:
Revilla-Romero B,, Thielen J,, Salamon P,et al. Evaluation of the satellite-based global flood Detection System for measuring river discharge: Influence of local factors[J]. Hydrology and Earth System Sciences,2014-01-01,18(11)