The aim of this study is to evaluate the urbanization process of Ulaanbaatar, the capital city of Mongolia using multitemporal satellite remote sensing (RS) data sets. To extract urban land cover information from the selected RS data sets, a refined supervised classification method based on maximum likelihood classification that uses spatial thresholds defined from the local knowledge is applied. Overall the research indicated that in recent decades Ulaanbaatar city has faced very rapid urbanization process.
