This paper presents the intelligent techniques approach for flood monitoring using Synthetic Aperture Radar (SAR) satellite images. We applied artificial neural networks and Self-Organizing Kohonen Maps (SOMs), to SAR image segmentation and classification. Our approach was used to process data from different SAR satellite instruments (ERS-2/SAR, ENVISAT/ASAR, RADARSAT-1/2) for different flood events: Tisza River, Ukraine and Hungary in 2001; Huaihe River, China in 2007; Mekong River, Thailand and Laos in 2008; Koshi River, India and Nepal in 2008; Norman River, Australia in 2009; Lake Liambezi, Namibia in 2009; Mekong River, Laos in 2009. This approach was implemented using Sensor Web paradigm for integrated system for flood monitoring and management. © Springer Science+Business Media B.V. 2011.
CITATION STYLE
Kussul, N., Shelestov, A., & Skakun, S. (2011). Flood Monitoring from SAR Data. NATO Science for Peace and Security Series C: Environmental Security, 97, 19–29. https://doi.org/10.1007/978-90-481-9618-0_3
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