With the deepening of urbanization and industrialization in China, large amount immigration flocked into the metropolis. As the capital of China, Beijing has become a huge immigration community. Most of the immigrants live in temporary buildings in urban-rural fringe areas because of high rents. It is difficult to supervise the quantitative changes of immigrants living in urban-rural fringe areas using traditional method. In order to study the variation of immigration communities, we try to detect and analyze the changes in temporary buildings using remote sensing data, in Daxing district, Beijing. Firstly, the TBI (Temporary Building Index) extraction method is used to extract Temporary buildings from 5 periods Sentinel-2A remote sensing images of Daxing District from 2016 to 2018. According to the extraction results, we found the immigration community is changing rapidly and intensely in three years. Affected by policy, the immigrants gathered close to the urban area, is rapidly moving away and the number of immigrants lived in suburban is increasing significantly.