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Google and NASA have mapped global methane emissions from space: what it means for corporate GHG reporting

A new AI model called MAPL EMIT can locate and quantify methane plumes globally using satellite data, raising the stakes for companies with fossil fuel exposure in their supply chains.

By The SOMA Desk 2026-09-21
Google and NASA have mapped global methane emissions from space: what it means for corporate GHG reporting
Google and NASA have mapped global methane emissions from space: what it means for corporate GHG reporting

Google and NASA's Jet Propulsion Laboratory have developed an artificial intelligence model capable of mapping methane emissions from space at global scale. The model, known as Methane Analysis and Plume Localization with MAPL EMIT, uses data collected by NASA's Earth Surface Mineral Dust Source Investigation instrument, known as EMIT. EMIT is installed on the International Space Station, giving the system persistent, wide area coverage that no ground based monitoring network can match.

For ESG practitioners, the significance of MAPL EMIT is not primarily scientific. It is evidentiary. Companies reporting Scope 1 methane emissions or relying on supplier provided Scope 3 data now face the possibility that satellite derived measurements could contradict their disclosed figures. The tool makes independently verifiable methane attribution available at a scale that auditors, regulators, and NGOs can all access.

Procurement and sustainability teams working with oil and gas, agriculture, or waste management suppliers should treat this development as a data quality prompt. If satellite observations of a facility diverge materially from what a supplier self reports, that gap becomes a liability for the buyer as much as the seller under frameworks like ESRS E1, which requires companies to disclose the quality and basis of their emissions data. The credibility of Scope 3 inventories now has an external check that did not exist at this resolution before.

The immediate practical step for compliance teams is to identify which tier one and tier two suppliers operate in methane intensive sectors and to review whether current supplier data collection processes would surface material discrepancies before a third party does. Automated supplier engagement tools that flag anomalies in reported emissions data, SOMA's AI agent handles exactly this workflow, become substantially more valuable when external benchmarks are available to cross reference against.

Broader regulatory context reinforces the urgency. The EU Methane Regulation, which entered into force in 2024, already imposes monitoring, reporting, and verification requirements on energy sector operators, and satellite data is explicitly envisaged as a compliance tool under that framework. As MAPL EMIT matures, it is reasonable to expect that regulators will begin referencing satellite observations in enforcement decisions, making accurate primary data collection a prerequisite rather than a best practice.

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