Organisation Name
National Technical University of Athens & National Observatory of Athens
Industry
Public service
Organisation Website
Country
Greece
Sustainable Development Goals (SDGs)
SDG 11: Sustainable Cities and Communities
SDG 13: Climate Action
General Description of the AI tool
Floods represent the most frequent natural hazard, projected to increase in frequency and intensity due to global warming. Our system, Triton, utilizes advanced satellite Synthetic Aperture Radar data and AI to provide timely and accurate flood mapping on demand. This enhances disaster response efforts, enabling emergency responders and government agencies to efficiently allocate resources and support affected populations. Accurate flood maps are also crucial for insurance companies and financial institutions in evaluating flood-related risks & impacts, and determining insurance premiums.
Github, open data repository
https://github.com/Orion-AI-Lab/KuroSiwo
Relevant Research and Publications
Bountos, N. I., Sdraka, M., Zavras, A., Karasante, I., Karavias, A., Herekakis, T., … & Papoutsis, I. (2023). Kuro Siwo: 12.1 billion $ m^ 2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping. arXiv preprint arXiv:2311.12056.
Needs
Funding
Public Exposure
HPC resources and/or Cloud Computing Services