MISSION
A continuously operating, ground-calibrated system complements existing satellite infrastructure and extends Earth observation into an operational decision layer.
The objective is to make environmental conditions measurable, traceable, and directly actionable at field scale – across agriculture, climate monitoring, and crisis scenarios.
SYSTEM DESIGN
A network of energy-autonomous ground units continuously captures high-resolution imagery and environmental data. Each node combines imaging systems, sensor suites, and Galileo-based georeferencing.
- Continuous field observation
- Precise spatial alignment
- Scalable multimodal data integration
The system follows the principle of a satellite constellation – translated to ground level.
RESEARCH
All measurements are converted into interoperable datasets, enabling:
- Comparability across regions
- Robust model validation
- Early detection of anomalies and trends
The data foundation supports both applied use and long-term scientific research.
FIELD INTELLIGENCE
Continuous observations are transformed into decision-ready information:
- Soil moisture and water dynamics
- Plant condition and stress patterns
- Biomass development and growth dynamics
- Biodiversity and structural indicators
Outputs are grounded in validated field states and linked to real agronomic processes.
PLAN
Development follows a structured phase model:
- Pilot phase: calibration, model training, and validation
- Regional phase: multi-site networking across agro-ecological zones
- EU scaling: integration into Copernicus-based applications
- Global extension: alignment with GEO/GEOSS infrastructures
Each phase increases coverage, model robustness, and operational relevance.
PARTNERSHIPS
The system integrates multiple disciplines:
- Sensor technology and photonics
- Artificial intelligence and data processing
- Agricultural and environmental sciences
- Policy and institutional frameworks
All contributions are aligned within a unified operational architecture.
GOVERNANCE
The system is designed for trust and regulatory alignment:
- Privacy-by-design data handling
- No transmission of raw image data
- Secure communication and storage systems
- Transparent and explainable models
All outputs are auditable and suitable for institutional use.
DEPLOYMENT
Implementation follows a modular structure:
- Initial deployment in pilot regions
- Expansion through standardized node configurations
- Transition to reduced hardware setups in mature operation
Designed for autonomous operation, low-cost scalability, and long-term field deployment without external infrastructure.
IMPACT
The generated information enables:
- More efficient resource use
- Higher precision monitoring and assessment
- Early risk detection
- Informed policy and operational decisions
Impact is measurable: reduced uncertainty, increased efficiency, and improved resilience.