A New Method of Extracing Areas of Center City Regions Based on DMSP/ OLS Data

  • 1. China University of Mining & Technology, Beijing 100083, China;
    2. Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China;
    3.Ningbo University, Ningbo 315211, China

Received date: 2012-08-28

  Revised date: 2012-12-19

  Online published: 2013-04-18


In recent years, the DMSP/OLS nighttime light data have been widely applied to various fields such as urban space and urbanizations, human activity and effects, economic level, ecological effects, electric energy consumption and hazards analysis. In order to get the research results of high-precision, accurate center city regions should be generally obtained before researching. This study utilized DMSP/OLS stable lights imagery to estimate the areas of center city regions. Firstly, we set the minimum threshold of center city regions according to the spatial contrast method based on auxiliary data. Subsequently we extracted every maximum of urban nighttime light and the values which closed to each maximum in a certain range from the DMSP data. These regions should be corresponding to center city regions. However, because of the problem of“lighting overflow”and other influences, the results were not very accurate. Trying to make a correlation analysis about center city regions's areas between DMSP data and MODIS land cover data, the results showed that they were significantly related. Then an center city regions model could be established between them. Considering the different levels of urban development, there may be two different relationships between center city regions' areas which respectively extracted from DMSP data and MODIS land cover data. Therefore, cities were divided into two classes. The maximum of urban light in one class was equal to 63 and it was less than 63 in the other one. As a result, two different models were established between MODIS land cover data and DMSP data based on the maximum value of urban light, thus, it is feasible to accurately estimate the center city regions' areas by DMSP data. At last, the results of verification showed that there was a high percent of prediction fitness (82.06%) and the mean relative error was 8.47%, which showed the reliability of the linear models. So, this paper introduced a new method which could simultaneously and accurately extract the center city regions with different levels of urban development. This work is an important preparation for further studies in urban development and so on.

Cite this article

MI Xiao-Nan, BAI Lin-Yan, TAN Xue-Hang, HU Nan, BANG Gai-Ping, SHAO Qi . A New Method of Extracing Areas of Center City Regions Based on DMSP/ OLS Data[J]. Journal of Geo-information Science, 2013 , 15(2) : 255 -261,279 . DOI: 10.3724/SP.J.1047.2013.00255


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