Air pollutants like sulfur dioxide impact human health and the environment. Our work estimated surface sulfur dioxide concentrations from satellite data over eastern China. One method used atmospheric models, and another method used machine learning. We found that compared to measurements from an air quality monitoring network, both methods accurately captured the locations of sulfur dioxide, but the machine learning method was generally much more accurate in the estimated concentrations.