ID:
publications-4917
Type:
Conference paper
Year:
2024
Authors:
Suquet R.R.; Nguyen T.H.; Ricci S.; Piacentini A.; Bonassies Q.; Sadki M.; Fatras C.; Lavergne E.; Gaudissart V.; Guzzonato E.; Prugniaux M.; Froidevaux A.; Aouassar O.; Valladeau G.; Poisson J.C.; Huang T.; Bretar F.
Title:
The SCO-Flooddam Digital Twin Project: A Pre-Operational Demonstrator for Flood Detection, Mapping, Prediction and Risk Impact Assessment
Venue/Journal:
International Geoscience and Remote Sensing Symposium (IGARSS)
DOI:
10.1109/IGARSS53475.2024.10640907
Research type:
Water System:
Technical Focus:
Abstract:
As a result of climate change, extreme hydrometeorological events are becoming increasingly frequent. Over the past 20 years, more than 2 billion people have been exposed to consequences of fluvial floods. Flood detection, rapid mapping and risk assessment products play an important role in flood emergency response and management. Within this context, FloodDAM-Digital Twin is a pre-operational prototype which provides an automated service to reliably detect, monitor, assess and predict floods at local and global scale within digital twin Franco-American collaboration. At the end of the project, a proof of concept demonstration will be realized over French and USA selected catchments. This prototype could be commercialized for both public and private entities in the field of water management and risk prevention. The work presented in this paper relies on scientific improvements for each product and services as well as on the digital Twin architecture that allows interoperability with other systems. Β© 2024 IEEE.
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