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Extrapolating Satellite-Based Flood Masks by One-Class Classification - A Test Case in Houston., , , , and . Remote. Sens., 13 (11): 2042 (2021)Estimating Ensemble Likelihoods for the Sentinel-1-Based Global Flood Monitoring Product of the Copernicus Emergency Management Service., , , , , , , , , and 1 other author(s). IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2023)Automatic SAR-based flood detection using hierarchical tile-ranking thresholding and fuzzy logic., , and . IGARSS, page 5697-5700. IEEE, (2017)Improving flood mapping in arid areas using SENTINEL-1 time series data.. IGARSS, page 193-196. IEEE, (2017)Time series analysis of multi-frequency SAR backscatter and bistatic coherence in the context of flood mapping., , and . MultiTemp, page 1-4. IEEE, (2015)Comparing four operational SAR-based water and flood detection approaches, , , , , , and . International Journal of Remote Sensing, 36 (13): 3519-3543 (2015)A multi-scale Markov model for unsupervised oil spill detection in TerraSAR-X data., , and . IGARSS, page 923-926. IEEE, (2012)DLR'S Contributions to Emergency Response within the International Charter 'Space and Major Disasters'., , , , , , , and . IGARSS, page 6540-6543. IEEE, (2018)Automatic oil spill detection in TerraSAR-X data using multi-contextual Markov modeling on irregular graphs.. IPTA, page 43-46. IEEE, (2012)Natural Pans as an Important Surface Water Resource in the Cuvelai Basin—Metrics for Storage Volume Calculations and Identification of Potential Augmentation Sites, , , , , , , , and . Water, 13 (2): 177 (January 2021)