AI-based method uses geostationary satellite data for hourly monitoring of carbon absorption

Approximately 30% of global carbon dioxide (CO2) emissions are removed by terrestrial vegetation through photosynthesis. Researchers affiliated with UNIST have unveiled an innovative artificial intelligence (AI) analysis technique that predicts this CO2 uptake with high temporal resolution. This advancement is expected to significantly aid climate change mitigation efforts and the formulation of carbon-neutral policies.