RESEARCH ON SPATIAL EVOLUTION OF ZHONGYUAN URBAN AGGLOMERATION BASED ON DMSP-OLS NIGHTTIME LIGHT DATA

WEI Shi-mei; PAN Jing-hu; ZHANG Yong-nian; ZHANG Da-hong

doi:10.13959/j.issn.1003-2398.2019.06.009

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HUMAN GEOGRAPHY ›› 2019, Vol. 34 ›› Issue (6) : 71-81,128. DOI: 10.13959/j.issn.1003-2398.2019.06.009

RESEARCH ON SPATIAL EVOLUTION OF ZHONGYUAN URBAN AGGLOMERATION BASED ON DMSP-OLS NIGHTTIME LIGHT DATA

WEI Shi-mei, PAN Jing-hu, ZHANG Yong-nian, ZHANG Da-hong

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Abstract

The study area incorporated the Zhongyuan urban agglomeration, located in the combination of the coastal open area and the central and western regions. It is the transition zone of China's economy from east to west, and it plays an important role in Chinese industrial transfer and economic development. Spatial structure can not only reflect the interaction and relationship among cities within the urban agglomeration but also reflect the development stages and levels of urban agglomerations. Therefore, it is of great practical significance for the future sustainable development of the urban agglomeration to study the spatial structure. This article selected 30 provincially-administered cities of Zhongyuan urban agglomeration to analysis spatial structure evolution. DMSP-OLS nighttime light remote sensing images from 1992 to 2012 were used to extract the urban built-up area of 30 provincially-administered cities based on MATLAB and ArcGIS software. The results showed that: 1) the built-up area of the Zhongyuan urban agglomeration was persistently increased. The area has risen from 823.1238 km² to 2916.87 km². 2) the development trend of the barycenter of Zhongyuan urban agglomeration was basically "first northeast and then southeast". 3) the degree of expansion of the Zhongyuan urban agglomeration experienced a process of "decrease-increase-decrease" during the research period, but on the whole, there was a relatively stable trend of change.

Key words

spatial structure / urban sprawl / DMSP-OLS nighttime light data / Zhongyuan urban agglomeration

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WEI Shi-mei, PAN Jing-hu, ZHANG Yong-nian, ZHANG Da-hong. RESEARCH ON SPATIAL EVOLUTION OF ZHONGYUAN URBAN AGGLOMERATION BASED ON DMSP-OLS NIGHTTIME LIGHT DATA[J]. HUMAN GEOGRAPHY. 2019, 34(6): 71-81,128 https://doi.org/10.13959/j.issn.1003-2398.2019.06.009

References

[1] 姚作林,涂建军,牛慧敏,等.成渝经济区城市群空间结构要素特征分析[J].经济地理,2017,37(1):82-89.[Yao Zuolin, Tu Jianjun, Niu Huimin, et al. The research on urban agglomeration spatial structure of Cheng-Yu economic zone[J]. Economic Geography, 2017,37(1):82-89.]
[2] 姚士谋,陈爽,陈振光.关于城市群基本概念的新认识[J].现代城市研究,1998,13(6):15-17.[Yao Shimou, Chen Shuang, Chen Zhenguang. New recognition on city group basic concept[J]. Modern Urban Research, 1998,13(6):15-17.]
[3] 方创琳.城市群空间范围识别标准的研究进展与基本判断[J].城市规划学刊,2009,32(4):1-6.[Fang Chuanglin. Research progress and general definition about identification standards of urban agglomeration space[J]. Urban Planning Forum, 2009,32(4):1-6.]
[4] 张荣天.长三角城市群网络结构时空演变分析[J].经济地理,2017, 37(2):46-52.[Zhang Rongtian. Urban agglomeration spatial network structure spatial-temporal evolution in the Yangtze River Delta[J]. Economic Geography, 2017,37(2):46-52.]
[5] 孙斌栋,华杰媛,李琬,等.中国城市群空间结构的演化与影响因素——基于人口分布的形态单中心-多中心视角[J].地理科学进展, 2017,36(10):1294-1303.[Sun Bindong, Hua Jieyuan, Li Wan, et al. Spatial structure change and influencing factors of city clusters in China:From monocentric to polycentric based on population distribution[J]. Progress in Geography, 2017,36(10):1294-1303.]
[6] 虞虎,陈田,陆林,等.江淮城市群旅游经济网络空间结构与空间发展模式[J].地理科学进展,2014,33(2):169-180.[Yu Hu, Chen Tian, Lu Lin, et al. Structure of tourist economy network and its spatial development pattern in Jianghuai urban agglomeration[J]. Progress in Geography, 2014,33(2):169-180.]
[7] 杨天荣,匡文慧,刘卫东,等.基于生态安全格局的关中城市群生态空间结构优化布局[J].地理研究,2017,36(3):441-452.[Yang Tianrong, Kuang Wenhui, Liu Weidong, et al. Optimizing the layout of eco-spatial structure in Guanzhong urban agglomeration based on the ecological security pattern[J]. Geographical Research, 2017,36(3):441-452.]
[8] 韩玉刚,焦华富,李俊峰.基于城市能级提升的安徽江淮城市群空间结构优化研究[J].经济地理,2010,30(7):1101-1106,1132.[Han Yugang, Jiao Huafu, Li Junfeng. Research on Anhui Jianghui urban agglomeration spatial structure optimization according to the promotion of the city-level[J]. Economic Geography, 2010,30(7):1101-1106,1132.]
[9] 王伟,吴志强.中国三大城市群空间结构集合能效测度与比较[J].城市发展研究,2013,20(7):63-71.[Wang Wei, Wu Zhiqiang. The measure and comparative research on spatial structure's integrated efficiency of Yangtze River Delta, Pearl River Delta and BeijingTianjin-Hebei urban agglomeration in China[J]. Urban Development Studies, 2013,20(7):63-71.]
[10] 赵璟,党兴华.基于分形理论的城市群最优空间结构模型与应用[J].西安理工大学学报,2012,28(2):240-246.[Zhao Jing, Dang Xinghua. An optimal spatial structure model of urban agglomeration and its application based on fractal theory[J]. Journal of Xi'an University of Technology, 2012,28(2):240-246.]
[11] 方大春,孙明月.高铁时代下长三角城市群空间结构重构——基于社会网络分析[J].经济地理,2015,35(10):50-56.[Fang Dachun, Sun Mingyue. The reconstruction of the spatial structure of the Yangtze River Delta city group in the high-speed rail era:Based on the social network analysis[J]. Economic Geography, 2015,35(10):50-56.]
[12] Zhang Q L, Seto K C. Mapping urbanization dynamics at regional and global scales using multi-temporal DMSP/OLS nighttime light data[J]. Remote Sensing of Environment, 2011,115(9):2320-2329.
[13] Aburas M M, Ho Y M, Ramli M F, et al. Monitoring and assessment of urban growth patterns using spatio-temporal built-up area analysis[J]. Environmental Monitoring and Assessment, 2018,190(3):156.
[14] 郭荣朝,宋双华,苗长虹.城市群结构优化与功能升级——以中原城市群为例[J].地理科学,2011,31(3):322-328.[Guo Rongchao, Song Shuanghua, Miao Changhong. Optimizing and upgrading of structure and function in urban agglomerations region:A case study of Zhongyuan urban agglomeration[J]. Scientia Geographica Sinica, 2011,31(3):322-328.]
[15] 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.[Chen Jin, Zhuo Li, Shi Peijun, et al. The study on urbanization process in China based on DMSP/OLS data:Development of a light index for urbanization level estimation[J]. Journal of Remote Sensing, 2003,7(3):168-175.]
[16] 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.[He Chunyang, Shi Peijun, Li Jinggang, et al. Reconstruction of urbanization process in mainland China in 1990s based on DMSP/OLS night lighting data and statistical data[J]. Chinese Science Bulletin, 2006,51(7):856-861.]
[17] Croft T A. Nighttime images of the earth from space[J]. Scientific American, 1978,239(1):86-98.
[18] Imhoff M L, Lawrence W T, Stutzer D C, et al. A technique for using composite DMSP/OLS "City Lights" satellite data to map urban area[J]. Remote Sensing of Environment, 1997,61(3):361-370.
[19] Henderson M, Yeh E T, Gong P, et al. Validation of urban boundaries derived from global night-time satellite imagery[J]. International Journal of Remote Sensing, 2003,24(3):595-609.
[20] Wei Y, Liu H X, Song W, et al. Normalization of time series DMSPOLS nighttime light images for urban growth analysis with pseudo invariant features[J]. Landscape and Urban Planning, 2014,128(1):1-13.
[21] Yu B L, Tang M, Wu Q S, et al. Urban built-up area extraction from log-transformed NPP-VIIRS nighttime light composite data[J]. IEEE Geoscience and Remote Sensing Letters, 2018,15(8):1-5.
[22] Elvidge C D, Ziskin D, Baugh KE, et al. A fifteen year record of global natural gas flaring derived from satellite data[J]. Energies, 2009,2(3):595-622.
[23] 邹进贵,陈艳华,田径,等.基于ArcGIS的DMSP/OLS夜间灯光影像校正模型的构建[J].测绘地理信息,2014,39(4):33-37.[Zou Jingui, Chen Yanhua, Tian Jing, et al. Construction of the calibration model for DMSP/OLS nighttime light images based on ArcGIS[J]. Journal of Geomatics, 2014,39(4):33-37.]
[24] Liu Z F, He C Y, Zhang Q F, et al. Extracting the dynamics of urban expansion in China using DMSP/OLS nighttime light data from 1992 to 2008[J]. Landscape and Urban Planning, 2012,106(1):62-72.
[25] 杨任飞,罗红霞,周盛,等.夜间灯光数据驱动的成渝城市群空间形成过程重建及分析[J].地球信息科学学报,2017,19(5):653-661.[Yang Renfei, Luo Hongxia, Zhou Sheng, et al. Restoring and analyzing the space forming process of Chengdu-Chongqing urban agglomeration by using DMSP/OLS night-time light data[J]. Journal of Geo-Information Science, 2017,19(5):653-661.]
[26] Sutton P, Roberts D, Elvidge C, et al. Census from heaven:An estimate of the global human population using night-time satellite imagery[J]. International Journal of Remote Sensing, 2001,22(16):3061-3076.
[27] 舒松,余柏蒗,吴健平,等.基于夜间灯光数据的城市建成区提取方法评价与应用[J].遥感技术与应用,2011,26(2):169-176.[Shu Song, Yu Bailang, Wu Jianping, et al. Methods for deriving urban built-up area using night-light data:Assessment and application[J]. Remote Sensing Technology and Application, 2011,26(2):169-176.]
[28] 李俊峰,潘竟虎.基于夜间灯光的1992-2012年甘肃省城市空间扩展研究[J].冰川冻土,2016,38(3):829-835.[Li Junfeng, Pan Jinghu. Spatial expansion of cities at county-level or above in Gansu province from 1992 to 2012 based on DMSP nighttime light images[J]. Journal of Glaciology and Geocryology, 2016,38(3):829-835.]
[29] 刘璐.基于夜间灯光数据的城市群蔓延指标[J].国土资源遥感, 2018,30(2):208-213.[Liu Lu. Urban sprawl metrics based on nighttime light data for metropolitan areas[J]. Remote Sensing for Land&Resources, 2018,30(2):208-213.]
[30] Small C, Pozzi F, Elvidge C D. Spatial analysis of global urban extent from DMSP-OLS night lights[J]. Remote Sensing of Environment, 2005,96(3):277-291.