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Sentinel-1-Based Water and Flood Mapping: Benchmarking Convolutional Neural Networks Against an Operational Rule-Based Processing Chain., , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2022)Time-series analysis of Sentinel-1/2 data for flood detection using a discrete global grid system and seasonal decomposition., , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (May 2023)Using UAV Data to Improve the Situational Awareness for First Responders in Disaster Management: The Example of Flooding in the AHR Valley, Germany., , , , and . IGARSS, page 934-937. IEEE, (2023)AD-HOC Situational Awareness During Floods Using Remote Sensing Data and Machine Learning Methods., , , , , , , , and . IGARSS, page 1166-1169. IEEE, (2023)Enabling Global Processing of Reference Water Products for Flood Mapping using Kubernetes and STAC., , , , , and . IGARSS, page 414-417. IEEE, (2023)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 Near-Real Time Flood Extent and Duration Mapping based On Multi-Sensor Earth Observation Data., , , , and . IGARSS, page 3243-3246. IEEE, (2020)Drones4Good: Supporting Disaster Relief Through Remote Sensing and AI., , , , , , , , , and 1 other author(s). ICCV (Workshops), page 3772-3776. IEEE, (2023)User-driven flood response & monitoring information - Key findings of the Data4Human project., , , , , , , , , and . GHTC, page 46-53. IEEE, (2022)