Researchers: Matthew HansenPeter PotapovXiao-Peng Song Related projects: Soybean Expansion in South America: Quantifying Historical Land-Use Change, Modeling Socioeconomic Drivers and Projecting Future Trajectories Links to article: https://doi.org/10.1016/j.agrformet.2022.109186 Song, X. P., Li, H., Potapov, P., & Hansen, M. C. (2022). Annual 30 m soybean yield mapping in Brazil using long-term satellite observations, climate data and machine learning. Agricultural and Forest Meteorology, 326, 109186.