
The EOWetMet Regional High-Resolution 30 m Wetland Methane Flux Dataset provides summer-average methane flux maps for two Arctic case-study regions in 2025. The dataset forms part of the EOWetMet Community Database and was developed to provide landscape-scale methane flux information over selected northern wetland environments. The products were generated using a Geo Foundation Model (GFM)-based deep learning framework that extracts spatial and spectral representations from Harmonized Landsat-Sentinel (HLS) imagery and integrates complementary environmental variables through an attention-based parallel auxiliary module. This framework enables methane flux estimation at substantially finer spatial resolution than the pan-Arctic products. The repository includes two 30 m GeoTIFF methane flux products representing summer-average conditions over approximately 500 km × 500 km case-study regions in Northwest Territories, Canada, and northern Sweden. These products are intended to support regional analysis of wetland methane variability, comparison with coarser pan-Arctic products, and assessment of high-resolution Earth Observation-based methane mapping approaches.
EOWetMet, HLS, methane, deep learning, wetlands, Harmonized Landsat Sentinel, Geo Foundation Model, remote sensing, Arctic, GeoTIFF, methane flux, Earth Observation, wetland methane
EOWetMet, HLS, methane, deep learning, wetlands, Harmonized Landsat Sentinel, Geo Foundation Model, remote sensing, Arctic, GeoTIFF, methane flux, Earth Observation, wetland methane
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