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Cao, X., Chen, J., Imura, H. and Higashi, O. (2009) A SVM-Based Method to Extract Urban Areas from DMSP-OLS and SPOT VGT Data. Remote Sensing of Environment, 113, 2205-2209.
https://doi.org/10.1016/j.rse.2009.06.001

has been cited by the following article:

• TITLE: Spatial-Temporal Features of Wuhan Urban Agglomeration Regional Development Pattern—Based on DMSP/OLS Night Light Data

  AUTHORS: Mengjie Zhang, Wenwei Miao, Yingpin Yang, Chong Peng, Yaping Huang

  KEYWORDS: Night Light Data, Urban Spatial Pattern, Economic Disparity Pattern, Wuhan Urban Agglomeration

  JOURNAL NAME: Journal of Building Construction and Planning Research, Vol.5 No.1, March 8, 2017

  ABSTRACT: Based on the night light data, urban area data, and economic data of Wuhan Urban Agglomeration from 2009 to 2015, we use spatial correlation dimension, spatial self-correlation analysis and weighted standard deviation ellipse to identify the general characteristics and dynamic evolution characteristics of urban spatial pattern and economic disparity pattern. The research results prove that: between 2009 and 2013, Wuhan Urban Agglomeration expanded gradually from northwest to southeast and presented the dynamic evolution features of “along the river and the road”. The spatial structure is obvious, forming the pattern of “core-periphery”. The development of Wuhan Urban Agglomeration has obvious imbalance in economic geography space, presenting the development tendency of “One prominent, stronger in the west and weaker in the east”. The contract within Wuhan Urban Agglomeration is gradually decreased. Wuhan city and its surrounding areas have stronger economic growth strength as well as the cities along The Yangtze River. However, the relative development rate of Wuhan city area is still far higher than other cities and counties.