ACRS2015_1.pdf

ABSTRACT: This study aims to evaluate the urbanization process of Ulaanbaatar city, Mongolia using multitemporal optical satellite remote sensing (RS) data sets. To extract reliable 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 been significantly expanded.