The Methane Alert and Response System (MARS) is the first global satellite observation system that detects, analyses and freely communicates methane emission data.
MARS then notifies governments and companies of relevant emissions, providing them the data and insights necessary to help drive concrete mitigation action.
To deliver accurate insights at speed and scale, MARS combines world-leading scientific expertise on methane detection with cutting edge artificial intelligence tools.
IMEO has built and trained custom machine learning models to identify likely methane plumes from satellite images. These models allow scientists to scan locations around the globe for emissions – and analyse thousands of images – in minutes rather than days, enabling quick and powerful analysis at a planetary scale.
Methane-sensitive satellites depend on sunlight reflected from the Earth's surface to observe emissions. This means that satellites can only detect methane when sunlight is present and there are no clouds.
Moreover, observations over or near water or in snowy areas, in densely forested or complex regions such mountains or cities, and where there is reduced sunlight, like in high northern latitudes, are much more challenging.
Satellites also have a minimum detection limit, which means they can only detect methane emitted at or above a certain rate - any emissions below this become undetectable.
A single large leak that lasts only an hour is not the same as a smaller leak that persists for a year. The persistency-weighted flux (PWF) visualization metric is a new way to visualize methane emissions that moves beyond static measurements. The Eye on Methane map now uses persistency-weighted flux for satellite-detected emissions to allow users to quickly identify sources that release emissions consistently over time. More details can be found in our persistency-weighted median flux rate technical note.
For more information, please us an email at unep-mars@un.org