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1Clear out junk files and repair common Windows errors2Fix the driver behind crashes, sound loss and screen glitches3Repair Windows errors before they cause bigger problemsMethane-cutting programmes are being implemented with an incomplete evidence base. The International Energy Agency (IEA) estimates that global energy-related methane emissions are about 80% higher than the total countries report to the UN Framework Convention on Climate Change (UNFCCC). The difference is not explained by one faulty sensor: it reflects uneven geographic coverage, inventories that can miss abnormal leaks and atmospheric measurements that have their own blind spots.
The practical answer is measurement-informed reporting and verification (MMRV). National inventories, satellites, aircraft, drones, ground instruments and continuous monitors each see different parts of the problem. Used together, they can find large leaks, check reported totals and guide repairs without pretending that any single map or database is complete.
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Why are methane emissions so hard to measure?
Methane is released by thousands of changing sources: oil and gas wells, compressor stations, coal mines, pipelines, landfills, livestock operations, wastewater plants and intermittently operated equipment. Some sources emit at a steady rate; others release a large plume for minutes or hours because of a damaged valve, a maintenance event or a venting decision. A credible estimate therefore has to represent both the number of sources and what they actually emitted during a particular period.
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Most national inventories begin with activity data such as the number of wells, tonnes of coal produced, livestock counts or the amount of waste handled. Analysts multiply those counts by standard emission factors. This approach is scalable and can produce a consistent time series across an entire country, but it depends on complete registries and representative factors.
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Standard factors can miss “super-emitter” events, unusual operating conditions, equipment that is absent from a registry and changes that occur between inspections. They also tend to smooth out time: a short, very large release may be averaged into an annual factor and become invisible in the total. Inventory methods are therefore useful accounting frameworks, not direct measurements of every plume.
Top-down observations test what reaches the atmosphere
Top-down methods measure methane in the air with satellites, aircraft, drones or ground networks and use atmospheric-transport models to infer the rate and location of emissions. They provide a reality check against activity-based calculations and can reveal sources that operators or registries did not know about.
Atmospheric inference is not automatically exact. Wind, temperature, turbulence and terrain affect how a plume moves. A sensor may detect elevated methane without being able to assign it confidently to one facility, especially in a dense industrial area. Weather can cancel an observation or make a source appear larger or smaller than it was at release. The result is a measurement that is independent of an inventory but still carries uncertainty.
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How large is the reporting gap?
In Global Methane Tracker 2025, the IEA estimated global energy-related methane emissions at about 80% above the amount countries report to the UNFCCC. This is a comparison of energy-sector estimates with national submissions, not a claim that every national inventory is wrong by the same percentage. Differences arise from source coverage, emission factors, reporting years and the ability to capture short-lived high-emitting events.
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Methane matters disproportionately because it is a potent greenhouse gas over the first decades after release. The UN Environment Programme (UNEP) states in 2025 that human-caused methane emissions are responsible for roughly one-third of the planet’s current warming. Better measurement can therefore produce near-term climate benefits, but uncertainty is not a reason to delay repairs that are already technically and economically feasible.
Coverage is strongest in North America
The clearest measurement picture is currently in the United States and Canada, where extensive airborne campaigns, satellite observations, operator programmes and public data provide multiple ways to check one another. Uncertainty is significantly higher in major emitters including Russia, Venezuela, India, China, Brazil and Nigeria. A country can have a large production sector and still lack frequent, independent observations of its facilities.
“Unknown” does not mean “zero.” It means the available instruments, registries or reporting systems cannot constrain the source well enough. Comparisons between countries should therefore distinguish a genuinely low estimate from an estimate with a wide uncertainty range.
Do satellites detect all methane leaks?
No. Satellites are valuable for broad, repeatable surveillance, but they are not a complete national inventory. UNEP’s Methane Alert and Response System (MARS) describes satellites as having global coverage, frequent observation and cost advantages while warning that they are “not a silver bullet” because of technical limitations.
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Light and clouds constrain optical observations
Many methane instruments rely on reflected sunlight. They cannot collect useful optical data in darkness or through clouds. Smoke and haze can also reduce data quality. A clear-sky image is a snapshot, not a continuous video feed, so a leak that stops before the next pass may never appear.
Surface conditions create difficult scenes
Snow and ice, forests, mountains, high latitudes, cities and water complicate retrievals. Bright or highly variable surfaces can make the methane signal harder to separate from the background. Offshore platforms and pipelines over water present different challenges from a well pad in an open, dry landscape.
Every instrument has a detection threshold
A satellite only reports a plume when the release is large enough, persistent enough and sufficiently separated from background variability for that instrument and scene. Emissions below the instrument-specific minimum rate can be missed. Satellites are strongest at finding large or recurrent plumes, not proving that a site has no small leaks.
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Finding enhanced methane in an image does not always identify the responsible valve, compressor or operator. A plume can cross several leases or facilities before it is observed. Atmospheric wind fields and the satellite’s viewing angle affect the ability to trace a signal back to its source. Confirmation usually requires an aircraft, drone or ground inspection.
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Which monitoring method is best?
No single method wins on every criterion. The following comparison shows why complementary systems are preferred.
| Method | Spatial coverage | Temporal frequency | Minimum detectable leak size | Facility attribution | Weather and terrain sensitivity | Cost and access | Fit with inventories |
|---|---|---|---|---|---|---|---|
| Bottom-up inventory | National or sector-wide, based on registered activities | Usually annual or periodic | Not stated; depends on activity data and emission factors | Good for listed assets, weak for unregistered or abnormal sources | Not directly weather-limited, but factors may not represent local conditions | Scalable; relies on administrative data and surveys | Native accounting framework, but needs measurement checks |
| Satellite remote sensing | Regional to global, with gaps over difficult surfaces | Repeat passes; frequency varies by satellite and cloud cover | Instrument-specific threshold; small leaks can fall below it | Moderate; improves with wind data and follow-up inspection | Strongly affected by sunlight, clouds, snow, forests, mountains, cities and water | Cost-effective for large-scale screening; data access varies by mission | Independent reality check and source-discovery layer |
| Aircraft surveys | Targeted basins, corridors or facilities | Campaign-based; can revisit selected areas | Not stated; depends on aircraft sensor and flight plan | Often stronger than satellite-only attribution | Wind and flight conditions matter; terrain can complicate interpretation | More expensive than routine satellite screening | Useful for calibrating factors and validating inventory hotspots |
| Drones and ground sensors | Facility or local area | On demand or continuous for fixed devices | Not stated; device-specific | High when deployed at the source | Local weather, access and safety conditions affect operation | Efficient for follow-up, but limited in geographic scale | Supplies repair evidence and site-level activity data |
| Continuous monitoring devices | Fixed sites or defined perimeters | Continuous or near-continuous | Not stated; depends on sensor placement and sensitivity | High within the monitored boundary | Local meteorology and obstructions can create false negatives or positives | Higher equipment and maintenance burden | Captures timing and recurrence that annual factors miss |
What does measurement-informed MMRV look like?
The IEA says robust measurement, monitoring, reporting and verification procedures are essential for tracking reductions. A practical system links broad screening to increasingly precise checks rather than asking one instrument to do everything.
- Build and maintain an asset register. Record wells, mines, pipelines, processing plants, landfills and other sources, including shutdown and temporary equipment. Mark locations and operating status so an observation can be matched to a real facility.
- Use inventories to establish a baseline. Document the activity data, emission factors, calculation year and uncertainty range. Keep factors sector-specific where possible instead of treating every facility as average.
- Screen wide areas with satellites. Use clear-sky observations to identify large or repeated plumes and to find facilities absent from the register. Treat a missed observation as “not detected under those conditions,” not as proof of no emissions.
- Revisit priority sites from the air. Aircraft or drone surveys can test whether a plume persists, improve location estimates and cover periods when satellites were blocked by clouds or darkness.
- Confirm and quantify on the ground. Inspect valves, tanks, compressors, vents and other equipment with portable instruments or fixed monitors. Record the repair date and measure again after maintenance.
- Reconcile the streams. Compare measured releases with the inventory’s activity-based estimate. Investigate large differences instead of averaging them away; the discrepancy may indicate a missing source, an incorrect factor or a temporary event.
- Publish uncertainty with the result. State the observation window, weather conditions, detection threshold, facilities covered and sources excluded. A transparent range is more useful for policy than a precise-looking number without boundaries.
What do recent measurements reveal?
Recurring oil-and-gas plumes are a major target
The IEA reports that more than 25 satellites can provide methane-emissions insights. An analysis by Carbon Mapper of more than 2,000 oil-and-gas plumes found about one quarter of detected sources were recurrent. Recurrence matters because a repeated plume is more likely to represent an ongoing equipment or operating problem than a one-time event, making it a clear candidate for leak detection and repair.
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China’s coal estimate depends on the method
For China’s coal sector in 2025, published estimates differ substantially:
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| Estimate | Value | Source and qualification |
|---|---|---|
| Zhang et al. (2025) | 21.4 Mt | Study estimate for 2025 |
| East et al. (2025) | Around 14 Mt | Study estimate for 2025 |
| IEA (2026) | 22 Mt | IEA estimate for 2025 |
| UNFCCC reporting | 21 Mt | Reported figure for 2025 |
The spread does not by itself identify which number is “correct.” It shows how assumptions, measurement coverage and accounting choices affect a sector total. Comparing methods and publishing their uncertainty is more informative than selecting the largest or smallest value without explanation.
Airborne work can uncover offshore sources
Fiehn et al. (2025), summarized in the IEA’s Global Methane Tracker 2026, estimated roughly 150 kilotonnes from an Angola offshore oil-and-gas airborne campaign based on 2022 observations. Campaign results like this can reveal emissions that a national factor or a satellite pass might not capture, while still representing a defined observation period rather than a timeless annual total.
UNEP IMEO is expanding the evidence base
Since its launch in 2021, UNEP’s International Methane Emissions Observatory (IMEO) reports 47 studies initiated and 35 peer-reviewed papers published. Its approach combines satellite alerts, scientific campaigns, operator reports and inventories so that a detected plume can be investigated and incorporated into better estimates.
What can governments and operators do while data improves?
Better measurement should strengthen enforcement and prioritization, not become a reason to wait. The IEA notes that methane pledges cover about 80% of global oil and gas production, yet about half of the industry has not set near-zero methane targets.
- Require leak detection and repair. Set inspection intervals appropriate to equipment risk, require rapid action on large releases and verify that repairs worked.
- Replace high-emitting equipment. Low- or zero-emissions pneumatic devices, improved seals and vapor-recovery systems can reduce routine releases while measurement programmes mature.
- Restrict routine flaring and venting. Exceptions should be documented, time-limited and independently checked where feasible.
- Fund open measurement. Public satellite alerts, study methods and uncertainty ranges let regulators, researchers and communities check reported progress.
- Protect data quality. Keep raw observations, calibration records, wind fields and facility boundaries so independent analysts can reproduce conclusions.
How should readers interpret a methane number?
Ask five questions before treating an estimate as a fact about an entire country or sector:
- Is it bottom-up, top-down or a combination?
- What year and observation window does it represent?
- Which facilities, regions and source types were actually covered?
- What weather, terrain, sunlight and cloud conditions limited detection?
- Does the figure include an uncertainty range and explain its detection threshold?
A satellite map can be a powerful alert system, an inventory can provide national consistency, and a ground inspection can identify the repair. The most credible reduction claim connects all three and explains what remains outside the measurement system.
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