By Fabrice Alves-Teixeira
THE Seine-North Europe Canal (CSNE), infrastructure intended to connect the Seine to the northern European river network, unveils the technological innovations surrounding its construction site. Through imaging satellite and to theartificial intelligencethe SCSNE wants to revolutionize the management of works.
Satellite imagery for precision
To meet its ambitious sustainability goals, SCSNE has adopted advanced Earth observation technologies. In collaboration with CNES, Airbus and the start-up DISAITEK, the company uses satellite imagery as a strategic tool. The Pléiades satellites, located at an altitude of nearly 700 kilometers, produce very high resolution images. This data, collected via the DINAMIS platform, makes it possible to monitor the construction site in real time.
A first for a project of this type
“We seek to be ever more efficient and responsive in monitoring construction sites. The use of satellite Earth observation data is a first for a linear infrastructure project,” underlines Franck Rousseau, Director of Earthworks and Innovation at SCSNE. This technology offers unprecedented precision, explains the Canal Company, to monitor the impacts on the territory and adjust the work accordingly.
To exploit these images, the start-up DISAITEK implements advanced artificial intelligence techniques. After initial processing by the National Geographic Institute (IGN), the data is analyzed to produce usable information. This approach makes it possible in particular to:
- Map woodlands and hedges
- Monitor deforestation operations,
- Monitor earthworks,
- Accurately evaluate the progress of the works.
Thanks to these analyses, SCSNE can optimize deadlines, costs, and reduce the environmental impacts linked to the work, she explains. “This dynamic opens a new era for monitoring construction projects and their impacts on the territory,” explains Franck Rousseau.
The combined use of satellite imagery and AI will undoubtedly not be limited to the Seine-Nord Europe Canal. These technologies offer promising prospects for the management of complex infrastructures, in particular the monitoring of hydraulic structures, the safety of dams, or the prevention of environmental risks.
