An data challenge accompanying the useR!2026 conference, aimed at improving the precision of methane emission estimation based on spectral data from the Sentinel-2 satellite.
The organizers posit that current statistical models have reached an algorithmic optimization threshold; further progress requires a process of knowledge exploration and understanding why models fail under specific geographic and temporal conditions.
Details can be found on Github repo