Governments signing up to net-zero commitments face an immediate credibility problem: self-reported facility emissions from heavy industry are systematically under-declared, sometimes by 40–70% relative to independent atmospheric measurements. Without an independent space-based check, regulators are negotiating carbon budgets and handing out allowances on the basis of figures that emitters themselves supply. The gap between reported and actual emissions is not an accounting rounding error — it is a structural policy failure that invalidates any downstream carbon market or border carbon adjustment.
A sovereign constellation couples shortwave-infrared (SWIR) spectrometers tuned to CO₂ and CH₄ absorption bands with thermal infrared (TIR) sensors that identify furnace and flare heat signatures, and optional synthetic aperture radar to confirm plant operational status. Data fused at ground level allows analysts to isolate individual stacks and attribute measured column concentrations to specific assets using Gaussian plume inversion and Lagrangian transport modelling. At ~30m spatial resolution and daily revisit, this stack moves emissions attribution from a statistical estimate to a facility-level fact.
The operational outcome is leverage: a regulator armed with satellite-derived attribution can challenge a steel mill's annual emissions declaration before the compliance window closes, not three years later in a court dispute. That leverage feeds directly into carbon pricing, trade-exposed sector policy and bilateral enforcement of carbon border adjustment mechanisms like the EU CBAM. Nations that depend on a commercial provider or a foreign government programme for these numbers are, in effect, outsourcing the integrity of their own industrial policy.