Organization:
Veneto Region - Directorate of Territorial Planning (Region)

Brief description of the Organization launching the Challenge:
Regional authority responsible for spatial planning and territorial governance, with expertise in geospatial data infrastructure, cartography, geographic information systems, and support to territorial development policies.

Region:
Veneto (Italy)

Description of the Challenge:

• The Need:
The territorial complexity of the Veneto region requires a continuous, high-precision system to monitor ground deformation and subsidence, as well as the structural stability of the infrastructure prone to that risk. Traditional geodetic networks (GNSS and geometric levelling) offer unmatched accuracy but lack the spatial density needed for territory-wide screening. Conversely, satellite Interferometric SAR (InSAR) provides dense spatial coverage but requires calibration and validation to transform measurements into absolute displacement vectors.

• Background Context:
The University of Padua has been studying this phenomenon for decades in the target area is the Po River Delta, an incredibly dynamic and fragile ecosystem characterised by severe subsidence (both natural and anthropic), accumulating an extensive wealth of historical ground-truth data. This coastal area is historically highly sensitive to subsidence, where complex, overlapping geomechanical processes coexist. The challenge is to move away from isolated data silos and build a unified, high-cadence monitoring workflow that integrates modern satellite streams with these precious historical and ongoing local datasets.

• Specific Objectives:

1. Advanced Data Fusion: Integrate InSAR time-series (LOS) with GNSS, levelling data, and UniPD's historical geodetic/geotechnical datasets into a semi-automated pipeline.
2. Deformation Trend Mapping: Monitor and map diverse deformation trends (linear subsidence, non-linear acceleration, seasonal variations), with a focus on the fragile coastal and Delta zones.
3. Anomalous Motion Detection: Implement GeoAI techniques to automatically detect localised anomalies and accelerations in critical infrastructure (e.g., embankments, barriers), filtering out noise.
4. Interactive Stakeholder Dashboard: Design an intuitive web dashboard based on UniPD models to support non-technical policy makers.

• Key Requirements:
The solution must leverage the forthcoming IRIDE and Copernicus Sentinel-1 data (and/or open-access InSAR products like EGMS, or other SAR products), integrated with regional GNSS/levelling networks and the University of Padua's reference data. The output must be compatible with standard GIS environments via API/OGC Web Services (WMS/WFS) and feature a dashboard capable of cross-referencing satellite trends with historical ground measurements.

Your Challenge in just one question:
How to combine multiple data sources innovatively to properly monitor ground deformation and subsidence?

Topics:

• Earth Observation (EO)
• GNSS & Satellite Connectivity
• AI & Data Analytics
• Data-driven Policy Making
• Climate Adaptation & Resilience
• Critical Infrastructures

Expected role of Service Provider:

• R&D, Software & Tool Development
• Data Supply & Processing
• System Integration in the PA platforms
• Consultancy & Feasibility Study