Airmo

AIRMO (Airmo GmbH, Munich) — Multi-modal, measurement-based methane quantification dataset with reconciliation as the core product. AIRMO fuses satellite (currently public satellite feeds, upgrading to its own active LiDAR satellite from Q1 2027), aircraft surveys, UAV/drone detection, and ground measurements — OGI cameras, FID sniffers, proprietary TDLAS sensors and its own sensors — then runs proprietary reconciliation software that combines concentration data with wind fields and flight paths to output every source measured in kg/h, source-attributed, and UNCERTAINTY-BOUNDED. Critically, i…

Airmo offers (Alternative, Geospatial, ESG, Sentiment, Reference) — Est. substantial and asset-scaled rather than a published figure: the unit of accumulation is the survey campaign per asset, and coverage spans thousands of assets across ~21 named countries with repeat multi-instrument measurement per asset. Each campaign yields source-level quantified records (kg/h with uncertainty), component inventories, site-level measurement, audit trails and annexes, plus the underlying OGI imagery, UAV sensor traces and airborne data. The reconciliation layer is small in bytes and extremely high in value. Composition: (assets surveyed per year) x (sources per asset) x (repeat annual cycles), with the OGI/imagery modalities dominating storage..

Inventory correction and emissions-factor calibration — the reconciliation disagreement pairs are the direct input needed to replace generic emission factors with measured rates at sector or country level, which is exactly what regulators and carbon-credit methodologies require; ML training for source-level quantification with uncertainty-weighted targets (uncertainty bounds enable heteroscedastic loss, which point-estimate datasets cannot support); super-emitter detection model training using the satellite-to-UAV prioritisation labels; methane credit issuance, verification and reduction-verification (the page explicitly covers verifying reductions at scale and annual UNEP progress reporting); regulatory diligence under EU Regulation 2024/1787 and OGMP 2.0 for importers and financiers; cross-technology sensor calibration and validation (holding satellite, airborne, UAV and ground measurements of the SAME asset is a rare co-located multi-instrument benchmark set); and country-level methane inventory estimation for the under-researched MENA and Central Asia producing regions, where Level 5 data is scarce.

The data is with 4 years of history.

Coverage spans Europe, US, UK, Other; Space, Oil & Gas Exploration & Production; alternative, geospatial, ESG, sentiment, reference; equities, fixed_income, commodities.