ACRS2017_1.pdf

ABSTRACT: The aim of this study is to conduct urban land cover change study in Ulaanbaatar city, Mongolia using multi-temporal satellite remote sensing (RS) and geographical information system (GIS) 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 (MLC) that uses spectral thresholds defined from the local knowledge is applied. Overall, the research indicated that in recent decades Ulaanbaatar city has been significantly expanded.