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《Remote Sensing Information》 2018-01
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Global Urban Characterization Using Population Density,DMSP Data and MODIS Data

Alimujiang KASIMU;School of Geographical Science and Tourism,Xinjiang Normal University;Research Center for Urbanization Development of the Silk Road Economic Belt;  
Because of the influence of diverse physical,cultural and socioeconomic factors on the physical structure of urban areas,there are few direct comparative analysis between continents and metropolitan regions all over the world.To solve this problem,this paper uses coarse resolution satellite images to study global urban characterization.Urban environments are so heterogeneous.It is necessary to simplify them as combination of basic land cover materials in order to enable quantitative studies.A comparative analysis of three-component features(population density,NDVI,DMSP)for 25 urban areas worldwide provides a physical basis of global urban characterization.The study classifies the urban types into five types(very-low,low-,medium-,high-and very-high-intensity urban types)based on the combination of population density,NDVI and DMSP.The results of this analysis indicate that the characteristics of these cities can be accurately described as linear combinations of population density,DMSP and vegetation end members within a two dimensional mixing space containing over 80% of variance in the observed data.Global urban characterizations provide a basis of mapping the spatial extent of human settlements using coarse resolution satellite imagery.
【Fund】: 国家自然科学基金(41661037、41361043)
【CateGory Index】: TP751
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