Can a Deep Learning Model Measure CO2 More Precisely using Satellite Data? (subtitles in Korean)
, Research scientist, SI-Analytics
Greenhouse gases (GHG), including water vapor, carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), and ozone (O3), are the primary drivers of climate change. The Intergovernmental Panel on Climate Change report, released in August 2021, assessed the scientific basis, impacts, and risk of climate change, and announced that the emissions of anthropogenic GHG are responsible for global warming. Most nations agreed to reduce GHG emissions to limit global warming through the Kyoto Protocol and the Paris agreements. Achieving global net-zero emissions is unavoidable to attain sustainable development goals. Therefore, we need accurate and reliable measurements at high resolution to monitor and evaluate GHG emissions on a global scale. We'll discuss how deep learning and satellite observations can support creating a truly carbon-neutral society.