PANOPTIS aims at increasing the resilience of road/highway infrastructures and ensuring reliable network availability under unfavorable conditions, such as extreme weather, landslides, and earthquakes. Our main target is to combine downscaled climate change scenarios (applied to road infrastructures) with simulation tools (structural/geotechnical) and actual data (from existing and novel sensors), so as to provide the operators with a tool able to support more effective management of their infrastructures at strategic and operational levels. Towards this direction, PANOPTIS aims to: - use high resolution modelling data for the determination and the assessment of the climatic risk of the selected transport infrastructures and associated expected damages; - use existing SHM data (from accelerometers, strain gauges etc.) with new types of sensor-generated data (computer vision) to feed the structural/geotechnical simulator; - utilize tailored weather forecasts (combining seamlessly all available data sources) for specific hot-spots, providing early warnings with corresponding impact assessment in real time; - develop improved multi-temporal, multi-sensor UAV- and satellite-based observations with robust spectral analysis, computer vision and machine learning-based damage diagnostic for diverse transport infrastructures; - design and implement a Holistic Resilience Assessment Platform environment as an innovative planning tool that will permit a quantitative resilience assessment through an end-to-end simulation environment, running “what-if” impact/risk/ resilience assessment scenarios. The effects of adaptation measures can be investigated by changing the hazard, exposure and vulnerability input parameters; - design and implement a Common Operational Picture, including an enhanced visualization interface and an Incident Management System. The PANOPTIS integrated platform (and its sub-modules) will be validated in two real case studies in Spain and in Greece.
ITC’s role:
- WP lead focusing on remote sensing for regular road infrastructure monitoring in light of decay and impending hazards, as well as post-event damage assessment
- Both road-focused/detailed and wider synoptic mapping (hazard zone origin, extent, dynamics)
- Input into continuous hazard an resilience assessment (including organizational/system resilience)
- 4 layers of remote sensing: ground-based/fixed, vehicle-based, drone-based, satellites
- It’s direct continuation of our Reconass and Inachus work (computer vision, machine learning, etc.)
- Work and budget split about evenly between ESA and EOS, as in the earlier projects
Layman's description
Increasing the resilience of road infrastructure
Organisations
- Faculty of Geo-Information Science and Earth Observation (ITC)
- Scientific Departments (ITC-SCI)
- ITC-GAIA (ITC-SCI-GAIA)