Mapping Nature-based Marine Flooding Risk using VHR Wave, Airborne LiDAR and Satellite Imagery: The Case Study of the Dol Marsh (Bay of Mont-Saint-Michel, France)

A new methodology for mapping marine flooding risk at very high spatial resolution, integrating nature-based solutions, has been developed. This approach combines in situ wave sensors, airborne LiDAR, and satellite imagery to evaluate the wave attenuation capabilities of coastal ecosystems like salt marshes. The study, conducted in the Dol Marsh within the Bay of Mont-Saint-Michel (France), introduces an adaptive capacity index that quantifies ecosystem services in risk assessment. By synthesizing exposure, vulnerability, and wave attenuation data into a synthetic risk index (ranging from 0 to 1), the research identifies assets most vulnerable to marine flooding, offering a novel framework for coastal risk management. This method provides valuable insights for balancing nature-based solutions with conventional approaches like hard structures.

Mury, A., Collin, A., Jeanson, M., James, D., Gloria, H., Pastol, Y., & Etienne, S. (2020). Mapping Nature-based Marine Flooding Risk using VHR Wave, Airborne LiDAR and Satellite Imagery: The Case Study of the Dol Marsh (Bay of Mont-Saint-Michel, France). Journal of Coastal Research, 95(sp1), 743. https://doi.org/10.2112/si95-145.1