Sensors. Satellites. Chain of Custody for Emissions Data.
Our architecture combines bottom-up (ground sensors) and top-down (satellite) observation methodologies to deliver Tier-1 grade emissions intelligence. Designed for high reliability, data fidelity, and validation integrity, our system offers full-stack transparency for stakeholders from governments to green-finance platforms.
Distributed Environmental Sensor Nodes
- Multi-gas sensors (NDIR, PID, EC) to detect CO₂, CH₄, NOₓ, VOCs, PM2.5
- Integrated GPS & real-time clock (RTC) for spatiotemporal precision
- Edge-computing unit with ML preprocessing for anomaly detection
- LPWAN/LTE/LoRaWAN communications protocol for decentralized data uplink
- Provision to add more sensors for further utillity
Satellite Fusion Layer
- Cross-referencing IoT data with Earth Observation datasets for integrated and multi-scale environmental analysis.
- Spectral band correlation for plume detection and top-down emissions mapping through aggregation and collaboration of satellite and ground-level data.
- Machine learning integration for hyperlocal calibration to enhance the precision and contextual relevance of sensor measurements.
Blockchain Ledger Integration
- Emission event hashes committed to smart contracts
- Immutable data trails for ESG compliance and carbon credit validation
- Public verifiability with decentralized storage (IPFS/Arweave) options
AI Forecasting Module (Upcoming)
- Predictive analytics for identifying emission surges and enabling climate impact modeling based on historical and real-time data.
- Transformer-based models trained on multisource environmental datasets to detect patterns and enhance forecasting accuracy.
- Real-time alerting engine with adaptive thresholding to notify stakeholders of critical environmental changes as they occur.
Developer Platform
- REST/GraphQL APIs for sensor access
- Smart contract SDKs for climate finance dApps
- Dashboard widgets for third-party visualization
