Industrial decarbonization efforts that rely on biofuels to replace fossil fuels need to accurately account for the impacts of biofuel agriculture on soil organic carbon. In this webinar, we will discuss the lack of long-term spatially and temporally continuous estimates of soil carbon in the US and demonstrate how machine learning can help us combine a wide variety of datasets to improve estimates and elucidate regional trends. We’ll also discuss the importance of land use, climate change, and historical agricultural practices. |
