Monitoring Arctic permafrost with satellites, supercomputers, and deep learning

Arctic tundra, photo by Anna Liljedahl

Monitoring Arctic permafrost with satellites, supercomputers, and deep learning

Arctic researchers and remote sensing experts use AI and HPC to characterize large, unexplored parts of the Earth

Arctic tundra, photo by Anna Liljedahl
Permafrost — ground that has been permanently frozen for two or more years — makes up a large part of the Earth, around 15% of the Northern Hemisphere.

Permafrost is important for our climate, containing large amounts of biomass stored as methane and carbon dioxide, making tundra soil a carbon sink. However, permafrost’s innate characteristics and changing nature are not broadly understood.

As global warming heats the Earth and causes soil thawing, the permafrost carbon cycle is expected to accelerate and release soil-contained greenhouse gases into the atmosphere, creating a feedback loop that will exacerbate climate change.

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