Mapping and evaluation the process,pattern and potential of urban growth in China |
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| Institution: | 1. Spatial Policy and Analysis Lab, Manchester Urban Institute, Department of Planning and Environmental Management, University of Manchester, Oxford Rd, Manchester M13 9PL, United Kingdom;2. CITTA, Department of Civil Engineering, University of Coimbra, Rua Luis Reis Santos, 3030-788 Coimbra, Portugal;3. Centre for Land Policy and Valuation, BarcelonaTech Universitat Politecnica de Catalunya, Av Diagonal, 649, 4a planta, 08028 Barcelona, Spain;1. Department of GIS and Remote Sensing, Tarbiat Modares University, Tehran, Iran;2. Geospatial Big Data Engineer, Monsanto, MO, United States;3. School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, Iran;4. Center of Excellence in Geomatic Engineering in Disaster Management, School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, Iran |
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| Abstract: | In this paper, the night-time light (NTL hereafter) data obtained by the Defence Meteorological Satellite Programme's Operational Line scan System (DMSP/OLS) were used to extract urban light index (ULI) for analysing urban growth and patterns in China. A unit circle mode was established to perform a comprehensive analysis and calculation of the variation of various types of urban land covers. In order to verify the ULI ability in extracting urban spatial patterns, eight typical cities were selected to make a comparison therein using Landsat TM/ETM + data. The objectives of this research include: 1) mapping temporal process of the urban growth; 2) exploring spatial characteristics of eight typical cities; 3) analysing spatial distribution pattern of primary urban agglomerations, and 4) assessing potential and tendency for urbanization in the future. The research results indicate that: the spatial pattern features of ULI generally agree with those of the features of urban pattern extracted from Landsat TM data. The morphological change of the urban light space can reflect the objective characteristics of the evolution of urban space. The study further illustrated that the NTL Data are applicable for extracting urban space information and have the potential to deepen understanding of urban space expansion. |
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| Keywords: | Urban light index (ULI) Urbanization DMSP/OLS Unit circle model |
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