Urban land cover mapping using optical and microwave images

Abstract: The aim of this study is to conduct urban land cover mapping of Ulaanbaatar, the capital city of Mongolia using high resolution satellite images. For the analysis, optical and microwave remote sensing (RS) images are used. To extract the reliable urban land cover information from the available RS data sets, a refined maximum likelihood classification (MLC) algorithm that uses spatial thresholds defined from the contextual knowledge is constructed.