 We developed a protocol to identify urban land use functions over large areas using satellite images and open social data in countries where high-resolution urban land use maps are low, such as China. The protocol involves deriving parcels from road networks contained in open street map, OSM, and using 10 features derived from points of interest, poi, data and two indices obtained from Landsat 8 operational land imager, OLI, images to classify parcels into 8 level 1 classes and 16 level 2 classes of land use. The results showed that the generated land use map had an overall accuracy of 81.04% and 69.89% for level 1 and level 2 classes, respectively, and revealed significantly more details of the spatial pattern of land uses in Beijing than the land use map released by the government. This article was authored by Tinian Hu, Jun Yong, Xu Itzali, and others.