Climate TRACE

Climate TRACE is a global, independent coalition of non-profits, academic institutions, and technology providers that uses artificial intelligence and satellite imagery to track greenhouse gas emissions in near-real-time. The platform aggregates imagery from multiple Earth-observation satellites and applies machine learning algorithms to pinpoint specific emitting facilities globally. This methodology enables direct and transparent monitoring of power plants, cargo ships, refineries, livestock facilities, and transport networks.

The coverage spans hundreds of millions of individual point sources alongside spatial sectors across every country worldwide. AI models analyze optical and radar satellite data, correlating visual activity with operational parameters to estimate precise quantities of carbon dioxide, methane, and other greenhouse gases. Users can explore interactive maps, filter by facility or sector, compare historical trends, and export complete raw datasets for deeper analytical work.

By delivering independent and timely measurement, Climate TRACE addresses the critical data gaps inherent in traditional inventory reporting, which often relies on self-reported data delayed by years. The platform empowers policymakers, climate scientists, journalists, and corporate sustainability leaders to verify climate commitments, conduct ESG research, and design targeted decarbonization pathways.

• AI-Driven Satellite Analytics — Combines computer vision algorithms with multi-spectral satellite imagery to identify facility activity levels and estimate associated emissions.
• Global Point-Source Mapping — Allows users to search, filter, and inspect individual high-emitting assets worldwide, such as power stations, manufacturing plants, and cargo vessels.
• Open Data Export & API — Provides unrestricted access to downloadable raw datasets and developer APIs for scientific research, policy modeling, and corporate reporting.

Climate scientists, environmental advocacy groups, investigative journalists, policy advisors, and enterprise ESG sustainability teams.

A sustainability analyst at a non-profit organization wants to audit actual methane emissions from oil and gas infrastructure in a targeted basin. Rather than relying on outdated self-reported inventory claims, she queries Climate TRACE to evaluate recent satellite-detected point-source data. She pinpoints unrecorded gas flaring and leaks across compressor stations, utilizing exported CC-BY datasets to publish evidence-backed recommendations for environmental regulators.

• Climate scientists, environmental advocacy groups, investigative journalists, policy advisors, and enterprise ESG sustainability teams.
• A sustainability analyst at a non-profit organization wants to audit actual methane emissions from oil and gas infrastructure in a targeted basin.
• AI-Driven Satellite Analytics: Combines computer vision algorithms with multi-spectral satellite imagery to identify facility activity levels and estimate associated emissions.
• Global Point-Source Mapping: Allows users to search, filter, and inspect individual high-emitting assets worldwide, such as power stations, manufacturing plants, and cargo vessels.
• Open Data Export & API: Provides unrestricted access to downloadable raw datasets and developer APIs for scientific research, policy modeling, and corporate reporting.

Not intended for businesses looking for corporate Scope 1-3 carbon accounting software for non-physical or internal office/IT operations.

• Blue River See & Spray — Paid · HQ: Sunnyvale, United States · Unclear
• Cervest / Mitiga Solutions — Paid · HQ: Barcelona, Spain · GDPR / EU
• ClimateAi — Paid · HQ: San Francisco, United States · Unclear
• ClimateBERT — Open Source · HQ: Zürich, Switzerland · Unclear
• Jua.ai — Paid · HQ: Zürich, Switzerland · GDPR / EU