Towards an increased performance of flood forecasting through assimilation of remotely sensed soil saturation levels in conceptual rainfall-runoff models

Proceedings, 31st International Symposium on Remote Sensing of Environment, ISRSE 2005: Global Monitoring for Sustainability and Security

Volumn , Issue , 2005, Pages

  Matgen, P ^a   Henry, J B ^b   Drogue, G ^a   Fenicia, F ^a   Van Den Bos, R ^a   De Fraipont, P ^b   Hoffmann, L ^a   Pfister, L ^a  

^a LUXEMBOURG INSTITUTE OF SCIENCE AND TECHNOLOGY   (Luxembourg)

^b Faculté de Médecine   (France)

Author keywords

Data assimilation; ERS; Flood forecasting; Kalman Filter; SAR; Soil moisture

Indexed keywords

ASSIMILATION PROCEDURE; BACKSCATTERING COEFFICIENTS; DATA ASSIMILATION; ERS; FLOOD FORECASTING; RAINFALL-INFILTRATION-RUNOFF; RAINFALL-RUNOFF MODELS; SAR;

DATA PROCESSING; ERRORS; FLOOD CONTROL; FLOODS; KALMAN FILTERS; MONITORING; RUNOFF; SOIL MOISTURE; SUSTAINABLE DEVELOPMENT; SYNTHETIC APERTURE RADAR;

REMOTE SENSING;

EID: 84879698768     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

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