Manual MRV processes are labor-intensive, error-prone, and expensive. Our MRV Fusion Engine combines IoT ground sensors with satellite imagery for tamper-proof emissions data that no one else can deliver.
Continuous monitoring replaces annual audits. Ground-truth data cross-validated with satellite imagery eliminates verification uncertainty.
Ground-truth IoT sensor data combined with satellite imagery analysis for continuous monitoring—no periodic site visits required.
Automatically compares IoT-measured NDVI and carbon flux against satellite-derived vegetation indices and biomass estimates.
Weighted fusion algorithm assigns High/Medium/Low confidence levels based on data quality and source agreement.
Multi-source detection identifies discrepancies—flagging deforestation, vegetation decline, data gaps, and carbon flux anomalies.
Continuous monitoring with automatic notification when anomalies exceed severity thresholds.
Automated evaluation of data coverage, IoT-satellite agreement, and anomaly status to determine verification readiness.
Reduce verification time from months to days. Cut MRV costs by up to 80%. Get continuous monitoring instead of annual snapshots.