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      Evaluating Urbanization and Spatial-Temporal Pattern Using the DMSP/OLS Nighttime Light Data: A Case Study in Zhejiang Province

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      Mathematical Problems in Engineering
      Hindawi Limited

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          Abstract

          The application of DMSP/OLS nighttime light data provides an effective measure for characterizing urbanization and its spatial-temporal changes. Combined with the social economic statistics and calibrated nighttime data, the nighttime light imagery of Zhejiang province was fully intercalibrated during the period 1992–2013. The backgrounds were explained and the model of region light index (RLI) was built to make further research. The methods of mutation detection, regression analysis, and spatial analysis were adopted in this study. The results show that the urbanization progress of Zhejiang experienced a transformation from rapid development to steady improvement and was accompanied by a changing direction of urban expansion from coastal to inland areas from 2000. Further research indicated that Zhejiang province possessed a relative high level of urbanization, where a spatial pattern of urbanization with one center and four axes was initially formed. It is a novel attempt to investigate the urbanization of Zhejiang province on the basis of the DMSP/OLS night-lighting data, which may provide a significant guideline for the urban planning and development.

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          Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data

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            Relation between satellite observed visible-near infrared emissions, population, economic activity and electric power consumption

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              Spatial and temporal patterns of China's cropland during 1990–2000: An analysis based on Landsat TM data

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                Author and article information

                Journal
                Mathematical Problems in Engineering
                Mathematical Problems in Engineering
                Hindawi Limited
                1024-123X
                1563-5147
                2016
                2016
                : 2016
                :
                : 1-8
                Article
                10.1155/2016/9850890
                45c77f21-55ec-4ea6-9f08-fb369cf7cbf2
                © 2016

                http://creativecommons.org/licenses/by/4.0/

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