HAZAMA, a scalable satellite-based platform for global flood hazard assessment that integrates multi- source Earth observation data, advanced data-driven methods, and uncertainty-aware analysis to support both scientific research and practical flood hazard applications under a changing climate.
https://docs.google.com/presentation/d/1IftdSCA70PMPZnFkhHU9nuh_z7nl_ruuAczWLiz6xlc/edit?usp=sharing
https://drive.google.com/drive/folders/1Y34PzrjlTWpENcRUFSVVVylxa8NOC-7e?usp=sharing
https://github.com/spaceml-org/ml4floods.git
https://spaceml-org.github.io/ml4floods/content/worldfloods_dataset.html
core-five: Multi-Modal Geospatial Dataset with Perfectly Harmonized Time & Space for Foundation Models
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