FloodDAM : Enhancing Global Flood Detection and Prediction
- Creators
- Space for Climate Observatory
- Others:
- CERFACS
- PREDICT Services
- Airbus D&S
- JPL
- SCHAPI
Description
FloodDAM is a project that implements an automated service to reliably detect, monitor and assess floods on a global scale. To this end, a sensor fusion approach is deployed, integrating satellite and terrestrial sensors as well as computational fluid dynamics (CFD) models.
Details
Floods are the most frequent natural disasters and are of major concern in France, with over 13,000 small waterways remaining unmonitored. In response to this challenge, FloodDAM aims to provide affordable and innovative solutions for measuring and monitoring hydrological areas to address climate change.
The project has produced flood maps for 11 remarkable sites between 2019 and 2021.
FloodDAM-DT (Digital Twin) is an extension of the initial project, in Franco-American cooperation. Its aim is to develop a digital twin of a flood risk alert and mapping system on both small and large scales using space technologies. This project seeks to enhance the resolution, responsiveness, and predictive capability of the existing system.
The data used includes high-resolution satellite data, in-situ data provided by VorteX.io, land use data, digital terrain models, among others. Project outputs include a flood warning service, an automatic flood mapping system, and flood risk indicator maps for urban planning and land use.
More
To learn more about the application please explore Space for Climate Observatory website and the FloodDAM plateform. Website is available in English and French.