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.
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
[1] 卓莉,史培军,陈晋,等.20 世纪90 年代中国城市时空变化特征——基于灯光指数CNLI 方法的探讨[J].地理学报,2003,58(6):893-902.
[2] 阴英超.基于DMSP/OLS 灯光数据的新疆天山北坡经济带城市化研究[D].乌鲁木齐:新疆大学,2010.
[3] Ma T, Zhou C, Pei T, et al. Quantitative estimation of urbanizationdynamics using time series of DMSP_OLSnighttime light data—— A comparative case study fromChina's cities[J]. Remote Sensing of Environment,2012(124): 99-107.
[4] 卓莉,陈晋,史培军,等.基于夜间灯光数据的中国人口密度模拟[J].地理学报,2005, 60(2):266-276.
[5] 李景刚,何春阳,史培军,等.基于DMSP/OLS 灯光数据的快速城市化过程的生态效应评价研究——以环渤海城市群地区为例[J].遥感学报,2007,11(1):115-126.
[6] Amaral S, Camara G, Miguel A. Estimating populationand energy consumption in Brazilian Amazonia usingDMSP night-time satellite data[J]. Computers, Environmentand Urban Systems, 2005(29):179-195.
[7] 王鹤饶,郑新奇,袁涛.DMSP/OLS 数据应用研究综述[J].地理科学进展,2012,31(1):11-19.
[8] 段德罡,黄博燕.中心城区概念辨析[J].现代城市研究, 2008(10):20-24.
[9] Sutton P C. A Scale-adjusted Measure of "Urban Sprawl"Using Nighttime Satellite Imagery[J]. Remote Sensing ofEnvironment,2003,86(3):353-369.
[10] Small C, Pozzi F, Elvidge C D. Spatial analysis of globalurban extent from DMSP-OLS night lights[J]. RemoteSensing of Environment,2005(96):277-291.
[11] Sutton P. Modeling population density with nighttime satelliteimagery and GIS[J]. Computers Environment andUrban Systems,1997,21(3-4):227-244.
[12] Imhoff M L, Lawrence W T, Stutzer D C. A technique forusing composite DMSP/ OLS‘city lights’satellite data toaccurately map urban areas[J].Remote Sensing of Environment,1997(61):261-370.
[13] Henderson M, Yeh E T, Gong P. Validation of urbanboundaries derived from global night-time satellite imagery[J].Int J Remote Sensing,2003,24(3):595-609.
[14] Cao X, Chen J, Imura H, et al. A SVM-based method toextract urban areas from DMSP-OLS and SPOT VGT data[J].Remote Sensing of Environment,2009(113):2205-2209.
[15] 何春阳,史培军,李景刚,等.基于DMSP/OLS 夜间灯光数据和统计数据的中国大陆20 世纪90 年代城市化空间过程重建研究[J].科学通报,2006,51(7):856-861.
[16] 郭立磊.基于DMSP/OLS影像数据的我国城市化过程空间差异探析[D].兰州:兰州大学,2011.
[17] Schneider A, Friedl M A, Potere D. Mapping global urbanareas using MODIS 500-m data: New methods anddatasets based on‘urban ecoregions’[J]. Remote Sensingof Environment, 2010(114):1733-1746.
[18] 陈晋,卓莉,史培军,等.基于DMSP/OLS数据的中国城市化过程研究——反映区域城市化水平的灯光指数的构建[J].遥感学报,2003,7(3):168-175.
[19] Liu Z, He C, Zhang Q, et al. Extracting the dynamics ofurban expansion in China using DMSP-OLS nighttimelight data from 1992 to 2008[J]. Landscape and UrbanPlanning, 2012(106):62-67.
[20] 王翠平,王豪伟,李春明,等.基于DMSP/OLS影像的我国主要城市群空间扩张特征分析[J].生态学报,2012,32(3):942-954.
[21] 曹丽琴,李平湘,张良培.基于DMSP/OLS 夜间灯光数据的城市人口估算——以湖北省各县市为例[J].遥感信息,2009(1):83-87.
