QuantCube Know-how and French house company, CNES, have introduced the profitable supply of a flood warning and danger mapping prototype, the SCO FloodDAM Digital Twin.
The prototype, which might detect, monitor, assess and predict the monetary and socio-economic dangers associated to flood occasions, harnesses continental water information from earth statement information, in-situ floor sensors and drone information. This data is then processed through the use of state-of-the-art hydrological and hydrodynamic fashions to provide flood re-analysis and forecasts for various eventualities rising from the digital twin.
The announcement is made on behalf of a consortium of organizations concerned within the mission, together with main companion house companies, CNES and NASA. This worldwide collaboration is supported by the House for Local weather Observatory (SCO) initiative—a global effort targeted on the event of superior local weather monitoring, mitigation and adaptation instruments. A complete of 9 organizations introduced their experience to the mission, collaborating to ship the next 5 capabilities:
- Flood detection and warning (USGS, VigiCrues, vorteX.io, JPL).
- Close to real-time mapping of flood extent, and monitoring of ongoing flood occasions utilizing Earth Commentary imagery (CNES-CLS).
- Re-analysis and short-term forecasting of flood extent surfaces, water degree, velocity and free-surface elevation maps utilizing high-fidelity hydrodynamic fashions over native areas to analyse current situations and supply forecasts for the affected area (CERFACS).
- Close to real-time and post-event estimation of economic danger related to floods (QuantCube Know-how).
- On-demand processing of flood fast mapping with visualizations of flood occasions accessible by way of the open nationwide hydrological platform, hydroweb.subsequent (CNES-CS Group).
The mission targeted on two websites for evaluation—the Garonne Marmandaise catchment in France and the Ohio catchment in the US—with the consortium harnessing standardized open-source software program and information, in addition to state-of-the-art modelling and information assimilation strategies to create the SCO FloodDAM-DT.
The prototype gives an estimation of the monetary danger related to flooding occasions in agricultural areas within the chosen take a look at areas. This data can then be utilized by governments and establishments, comparable to insurers, actual property funds, monetary establishments, and different entities involved with the bodily danger related to belongings.
“Almost every day, terrible floods prove that the planet’s water cycle is increasingly susceptible to disruption. One of the first SCO-certified projects, FloodDam, has evolved into a digital twin, building on the processing chain originally developed to create an essential tool for flood risk prediction and impact assessment. This real technical and technological achievement is the fruit of a remarkable French-American collaboration, reminding us of the importance of cooperation in adapting to our changing world,” says Frédéric Bretar, head of the SCO program at CNES.
Thanh-Lengthy Huyhn, co-founder and CEO, QuantCube Know-how, says, “Through harnessing a combination of earth observation data, continental water data, in-situ remote sensing, and hydrological models, we have demonstrated that it is possible to produce large scale prediction and financial risk impact indicators for flood events on agriculture. The possible use cases for this kind of technology extends across industries and beyond, from trading and asset management to national governments and agencies, and it is our intention to fully explore these applications.”
Raquel Rodriguez Suquet, CNES, earth statement functions engineer says, “Thanks to the support of the Space for Climate Observatory alliance, the FloodDAM-DT project, jointly with the IDEAS (Integrated Digital Earth Analysis and System) project supported via NASA’s Earth Science Technology Office by the Advanced Information Systems Technology (AIST) program, have proven what can be achieved through international collaboration and data sharing. The result is an Earth System Digital Twin (ESDT) that enables researchers, decision-makers and policymakers to visualize, analyse, and evaluate the impact of extreme environmental events on target regions.”
