globalchange  > 气候变化事实与影响
DOI: 10.5194/hess-18-4467-2014
Scopus记录号: 2-s2.0-84913573592
论文题名:
Evaluation of the satellite-based global flood Detection System for measuring river discharge: Influence of local factors
作者: Revilla-Romero B; , Thielen J; , Salamon P; , De Groeve T; , Brakenridge G; R
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2014
卷: 18, 期:11
起始页码: 4467
结束页码: 4484
语种: 英语
Scopus关键词: 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.

Analysis of the potential factors affecting the satellite signal was based on a classification decision tree (random forest) and showed that mean discharge, climatic region, land cover and upstream catchment area are the dominant variables which determine good or poor performance of the measure-ment sites. In general terms, higher skill scores were obtained for locations with one or more of the following characteristics: a river width higher than 1km; a large floodplain area and in flooded forest, a potential flooded area greater than 40%; sparse vegetation, croplands or grasslands and closed to open and open forest; leaf area index > 2; tropical climatic area; and without hydraulic infrastructures. Also, locations where river ice cover is seasonally present obtained higher skill scores. This work provides guidance on the best locations and limitations for estimating discharge values from these daily satellite signals. © 2014 Author(s).
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被引频次[WOS]:38   [查看WOS记录]     [查看WOS中相关记录]
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78080
Appears in Collections:气候变化事实与影响

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作者单位: 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)
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