A study of the evolution characteristics of built-up areas in Chang-Zhu-Tan urban agglomeration based on DMSP/OLS data
ZHENG Bohong1(), WANG Zhiyuan1,2(), WANG Hua1
1. School of Architecture and Art, Central South University, Changsha 410075, China 2. School of Architecture, University of South China, Hengyang 421001, China
Chang-Zhu-Tan urban agglomeration is an important part of the economic belt in the middle reaches of the Yangtze River. The DMSP/OLS night light data was used to extract the space of the built-up area of Chang-Zhu-Tan urban agglomeration from 1993 to 2013. The spatial expansion analysis, standard deviation ellipsoid method, center of gravity change, landscape pattern index, and spatial autocorrelation method were used to quantitatively analyze the space-time characteristics of the spatial evolution of the built-up area of Chang-Zhu-Tan urban agglomeration in the past 20 years. The result can provide decision-making basis for the future urban spatial development of Chang-Zhu-Tan urban agglomeration. The results are as follows: ① From 1993 to 2013, the total amount of lights in the Chang-Zhu-Tan urban agglomeration showed a relatively dense core edge structure, the three cities of Changsha, Zhuzhou and Xiangtan were relatively dense, while the surrounding five cities were relatively sparse. The central urban areas of urban agglomerations were dominated by the planar development mode, showing irregular circular expansion outwards. ② The centripetal force of the Chang-Zhu-Tan urban agglomeration showed an increasing trend of “discrete-centripetal”. The center of gravity of the built-up area shifted from Yuelu District of Changsha City to Wangcheng District. ③ There existed the continuous concentration of the built-up areas and the continuous improvement of the degree of integration in the Chang-Zhu-Tan urban agglomeration. The number of patches in the built-up area decreased and the complexity of the shape also decreased. The built-up area grew from “patch quantity increase” to “patch scale expansion”. ④ The spatial distribution of the built-up area of the Chang-Zhu-Tan urban agglomeration presented cluster features. The hot spots of spatial agglomeration were mainly concentrated in the districts of the three cities of Changsha, Zhuzhou, Xiangtan and the surrounding counties of Changsha, Wangcheng, Xiangtan, Shaoshan, Liling, Ningxiang, Xiangyin and Miluo, while the cold spot areas were Yuanjiang and Nanxian.
郑伯红, 王志远, 汪华. 基于DMSP/OLS数据的长株潭城市群建成区演变特征研究[J]. 国土资源遥感, 2020, 32(4): 172-181.
ZHENG Bohong, WANG Zhiyuan, WANG Hua. A study of the evolution characteristics of built-up areas in Chang-Zhu-Tan urban agglomeration based on DMSP/OLS data. Remote Sensing for Land & Resources, 2020, 32(4): 172-181.
Zhou G H, Tang C L, Zhu X, et al. A study on optimization of the spatial structure of urban agglomeration in Changsha-Zhuzhou-Xiangtan[J]. Tropical Geography, 2002,22(4):330-334.
Wang L J, Zhou K G, Xu C J, et al. Study on spatial structure of Changsha-Zhuzhou-Xiangtan urban agglomeration based on fractal theory[J]. Geography and Geo-Information Science, 2005,21(6):78-103.
Tang F H, Chen L L, Zeng Z W, et al. Evolution tends and restructuring of spatial structure about urban agglomeration:By the case of Chang-Zhu-Tan agglomeration[J]. Urban Studies, 2010,17(3):65-69.
Liu S H. Spatial patterns and dynamic mechanisms of urban land use growth[J]. Progress in Geography, 2002,21(1):43-50.
doi: 10.11820/dlkxjz.2002.01.005
Li X W, Fang J Y, Piao S L. The intensity and modes of urban landuse growth in Shanghai[J]. Journal of Natural Resources, 2003,18(4):412-422.
doi: 10.11849/zrzyxb.2003.04.004
Wang H J, Zhang B, Liu Y L, et al. Multi-dimensional analysis of urban expansion patterns and their driving forces based on the center of gravity-GTWR model:A case study of the Beijing-Tianjin-Hebei urban agglomeration[J]. Acta Geographica Sinica, 2018,73(6):1076-1092.
doi: 10.11821/dlxb201806007
Chen B Q, Xu H Q. Urban expansion and its driving force analysis using remote sensed data:A case of Xiamen City[J]. Economic Geography, 2005,25(1):79-83.
Wang H J, Liu Y M, Zhang B, et al. Analysis of driving forces of urban land expansion in Wuhan metropolitan area based on Logistic-GTWR model[J]. Transactions of the Chinese Society of Agricultural Engineering, 2018,34(19):248-257.
Li J L, Xu J Q, Li W F, et al. Spatio-temporal characteristics of urbanization area growth in the Yangtze River Delta[J]. Acta Geographica Sinica, 2007,62(4):437-447.
Ma X D, Zhu C G, Ma R H, et al. Urban spatial growth pattern and its evolution in Suzhou,Jiangsu Province,China[J]. Acta Geographica Sinica, 2008,63(4):405-416.
Che Q J, Duan X J, Guo Y, et al. Urban spatial expansion process,pattern and mechanism in Yangtze River Delta[J]. Acta Geographica Sinica, 2011,66(4):446-456.
[14]
Croft T A. Burning waste gas in oil fields[J]. Nature, 1973,245:375-376.
doi: 10.1038/245375a0
[15]
Imhoff M L, Lawrence W T, Stutzer D C, et al. A technique for using composite DMSP/OLS city lights satellite data to accurately map urban areas[J]. Remote Sensing of Environment, 1997,61(3):361-370.
doi: 10.1016/S0034-4257(97)00046-1
Shu S, Yu B L, Wu J P, 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.
Yang Y, He C Y, Zhao Y Y, et al. Research on the layered thresho-ld method for extracting urban land using the DMSP/OLS stable night time light data[J]. Journal of Image and Graphics, 2011,16(4):666-673.
doi: 10.11834/jig.20110426
Mi X N, Bai L Y, Tan X H, et al. 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.
Wang X H, Xiao P F, Feng X Z, et al. Extraction of large-scale urban area information in China using DMSP/OLS nighttime light data[J]. Remote Sensing for Land and Resources, 2013,25(3):159-164.doi: 10.6046/gtzyyg.2013.03.26.
Zhuo L, Li Q, Shi P J, et al. Identification and characteristics analysis of urban land expansion types in China in the 1990s using DMSP/OLS data[J]. Acta Geographica Sinica, 2006,61(2):169-178.
Liu Q P, Yang Y C, Fu D X, et al. Urban spatial expansion based on DMSP/OLS nighttime light data in China in 1992—2010[J]. Scinentia Geographica Sinica, 2014,34(2):129-136.
[22]
Huang X, Schneider A, Friedl M A. Mapping sub-pixel urban expansion in China using MODIS and DMSP/OLS nighttime lights[J]. Remote Sensing of Environment, 2016,175(15):92-108.
Yang Y, Huang Q X, Zhang L L. Study on temporal and spatial measurement of land urbanization based on DMSP/OLS night light data:A case study of the Bohai rim region[J]. Economic Geography, 2015,35(2):141-149.
Liu C X, Zhu K W, Li Y C. Research on the urban expansion in Chengdu-Chongqing Economic Zone based on DMSP/OLS nighttime light data in recent 20 years[J]. Journal of Chongqing Normal University(Natural Science), 2017,34(6):117-126.
Zhong Y, Lin A W, Hu B S, et al. Spatial pattern evolution of urban system in Yangtze River economic belt based on DMSP-OLS night light data(1992—2013)[J]. Resources and Environment in the Yangtze Basin, 2018,27(10):2162-2171.
Lu C Y, Xu Y T, Lin X Q, et al. Study of spatio-temporal evolution of the circum-Bohai urban agglomeration based on DMSP/OLS night-time light data[J]. Remote Sensing for Land and Resources, 2019,31(4):218-226.doi: 10.6046/gtzyyg.2019.04.28.
Wang Y Y, Xu D, Zhu X G. The spatio-temporal characteristics of the urban and town construction land expansion in Jiangsu Province from DMSP-OLS nighttime images[J]. Modern Urban Research, 2010,19(2):67-73.
Chen Z, Hu D Y, Zeng W H, et al. TM image and nighttime light data to monitoring regional urban expansion:A case study of Zhejiang Province[J]. Remote Sensing for Land and Resources, 2014,26(1):83-89.doi: 10.6046/gtzyyg.2014.01.15.
Wan Y, Chen Y H, Li J. Urban spatial pattern and dynamic expansion in Henan Province based on DMSP/OLS data[J]. Geography and Geo-Information Science, 2019,35(1):89-94.
Wang Z, Yang S, Liu S B. Study on spatial differentiation of urban population in Jiangsu Province based on DMSP/OLS data[J]. Resources and Environment in the Yangtze Basin, 2015,24(12):2021-2029.
doi: 10.11870/cjlyzyyhj201512004
[31]
Zhou Y, Smith S J, Elvidge C D, et al. A cluster-based method to map urban area from DMSP/OLS nightlights[J]. Remote Sensing of Environment, 2014,147(18):173-185.
Wang H R, Zheng X Q, Yuan T. Overview of researches based on DMSP/OLS nighttime light data[J]. Progress in Geography, 2012,31(1):11-19.
[33]
Gangopadhyay K, Basu B. City size distributions for India and China[J]. Physica A Statistical Mechanics and Its Applications, 2010,388(13):2682-2688.
doi: 10.1016/j.physa.2009.03.019