Webinar Video: Mapping Historical Soil Organic Carbon in the US with Machine Learning
In this webinar, Stone Environmental Modeler Dr. Hannah Rubin explores the lack of long-term spatially and temporally continuous estimates of soil carbon in the US and demonstrates how machine learning can help us combine a wide variety of datasets to improve estimates and elucidate regional trends. She also discusses the importance of land use, climate change, and historical agricultural practices.