Commodities markets that rely on in-season predictions of planting progress, crop conditions, and expected yields experience high uncertainty during the growing season, since currently the most accurate field-level planting information is released after the harvest period has ended (e.g., by the USDA). Information about planting progress for specific crops during the growing season could help stabilize markets, enable earlier condition and yield forecasts, and inform comparative analyses of farming practices. We are using satellite data from Landsat-8 and Sentinel-2 to predict at a sub-field scale where specific crop types are planted and the relative timeline of planting across a region.