Automatic near real-time flood detection in high resolution X-band synthetic aperture radar satellite data using context-based classification on irregular graphs [Elektronische Ressource] / Sandro Martinis

Automatic near real-time flood detection in high resolution X-band synthetic aperture radar satellite data using context-based classification on irregular graphs Dissertation der Fakultät für Geowissenschaften der Ludwig-Maximilians-Universität München Sandro Martinis Eingereicht am: 15.09.2010 1. Gutachter: Prof. Dr. Ralf Ludwig 2. Gutachter: . Richard Bamler Tag der Disputation: 06.12.2010 Abstract This thesis is an outcome of the project “Flood and damage assessment using very high resolution SAR data” (SAR-HQ), which is embedded in the interdisciplinary oriented RIMAX (Risk Management of Extreme Flood Events) programme, funded by the Federal Ministry of Education and Research (BMBF). It comprises the results of three scientific papers on automatic near real-time flood detection in high resolution X-band synthetic aperture radar (SAR) satellite data for operational rapid mapping activities in terms of disaster and crisis-management support.