Abstract
Based on DMSP/OLS nighttime light data and statistical yearbook data from 1992 to 2013, this paper extracts the urban built-up areas of China and India by using the reference comparison method and empirical threshold method. Nine landscape pattern indicators such as the patch number and total patch area were selected. Extracting the characteristics of the urbanization processes of the two countries from three spatial scales: the whole countries, typical urban agglomerations, and typical cities, and a multidimensional comparative analysis were carried out. The conclusions are as follows: the total urban areas of China and India increased over the study period by 2.07 times and 1.43 times, respectively. The proportion of the largest urban area in India fluctuated greatly, the urbanization process was dominated by individual large cities, and the development of cities of different sizes in China was relatively balanced. The overall edge length of the Beijing–Tianjin-Hebei, and Delhi urban agglomerations increased over the study period by 72% and 87%, respectively, and the average radii of gyration increased by 47% and 8%, respectively. The Beijing-Tianjin-Hebei urban agglomeration developed greatly in terms of its urban scale and urban area, while the Delhi urban agglomeration developed greatly in terms of its number of urban patches. The mean patch areas of typical cities in China and India increased over the study period by 1.12 times and 1.83 times, respectively, and the number of patches decreased by 6% and 22%, respectively. The expansion of large core cities was dominant in the urbanization of China. Emerging and expanding small urban patches were the main force in the urbanization of India.
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The DMSP/OLS nighttime light data can be downloaded from the U.S. Weather Service National Geographic Data Center website (https://www.ngdc.noaa.gov/eog/download.html).
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References
Cao, L., Li, P., & Zhang, L. (2009). Urban population estimation based on the DMSP/OLS night-time satellite data—a case of Hubei province. Remote Sensing Information, 2009(1), 83–87.
Chai, B., Li, P., & Zhang, R. (2016). Urban expansion extraction using landsat series data and DMSP/OLS nighttime light data: A case study of Tianjin area. Acta Scientiarum Naturalium Universitatis Pekinensis, 52(03), 475–485. https://doi.org/10.13209/j.0479-8023.2015.138
Croft, T. A. (1973). Burning waste gas in oil fields. Nature, 245(5425), 375–376.
Dong, Q., Li, Y., & Liu, H. (2008). Research on the spatial distribution and division of Urban Agglomerations in China. Urban Studies, 6.
Elvidge, C. D., Baugh, K. E., Kihn, E. A., Kroehl, H. W., Davis, E. R., & Davis, C. W. (1997). Relation between satellite observed visible-near infrared emissions, population, economic activity and electric power consumption. International Journal of Remote Sensing, 18(6), 1373–1379. https://doi.org/10.1080/014311697218485
Fan, J., Ma, T., Zhou, C., Zhou, Y., & Xu, T. (2014). Comparative estimation of urban development in China’s cities using socioeconomic and DMSP/OLS night light data. Remote Sensing, 6(8), 7840–7856.
Gan, B., & Yang, Y. (2014). The study on urban built-up change information extraction method using DMSP/OLS Data—A Case Study of Shaanxi Province. Urban Geotechnical Investigation & Surveying (3), 5–9.
Golley, J., & Tyers, R. (2012). Demographic dividends, dependencies, and economic growth in China and India. Asian Economic Papers, 11(3), 1–26.
Hao, R., Yu, D., Liu, Y., & Sun, Y. (2014). Use of DMSP/OLS nighetime light data in urbanization monitor. Journal of Beijing Normal University (natural Science), 50(4), 407.
He, C., Shi, P., & Li, J. (2006). A study on spatial Process Reconstruction of urbanization in Mainland China in the 1990s based on DMSP/OLS night light data and statistical data. Chinese Science Bulletin, 51(7), 856–861. https://doi.org/10.1360/972004-300
Imhoff, M. L., Lawrence, W. T., Stutzer, D. C., & Elvidge, C. D. (1997). A technique for using composite DMSP/OLS “city lights” satellite data to map urban area. Remote Sensing of Environment, 61(3), 361–370. https://doi.org/10.1016/S0034-4257(97)00046-1
Jing, T., Shiwei, S., Yimin, H., & Mengting, X. (2019). Towardsa core set of landscape metricsfor land use: A case study from Guangzhou, China. Geomatics and Information Science of Wuhan University, 44(3), 443–450.
Li , J. (2019). An empirical study on international competitiveness of Chinese service trade and its influencing factors. D, South China University of Technology,
Li, J., He, C., Shi, P., Chen, J., Pan, Y., & Ichinose, T. (2007). The use of multisource satellite and geospatial data to study the ecological effects of urbanization: A case of the urban agglomerations in Bohai Rim. Journal of Remote Sensing, 11(1), 115–126.
Li, X., Bu, R., & Chang, Y. (2004). The response of landscape metrics against pattern scenarios. Acta Ecologica Sinica, 24(01), 123–134.
Lin, Z., Xu, H., & Huang, S. (2019). Monitoring of the urban expansion dynamics in China’s east coast using DMSP/OLS nighttime light imagery. Journal of Geo-Information Science, 21(07), 1074–1085. https://doi.org/10.12082/dqxxkx.2019.180600
Liu, Z., He, C., Zhang, Q., Huang, Q., & Yang, Y. (2012). Extracting the dynamics of urban expansion in China using DMSP-OLS nighttime light data from 1992 to 2008. Landscape Urban Planning, 106(1), 62–72. https://doi.org/10.1016/j.landurbplan.2012.02.013
Long, X., & Li, P. (2008). A Method of Urban Change Detection Based on Image Segmentation. Geo-Information Science (01), 121–127.
Lu, X., Li, J., & Duan, P. (2019). Correction of nighttime light images of DMSP/OLS in China. Bulletin of Surveying and Mapping (07), 127–131+159. https://doi.org/10.13474/j.cnki.11-2246.2019.0234.
Mustak, S., Baghmar, N. K., Srivastava, P. K., Singh, S. K., & Binolakar, R. (2018). Delineation and classification of rural–urban fringe using geospatial technique and onboard DMSP–Operational Linescan System. Geocarto International, 33(4), 375–396.
Padam, S., & Singh, S. K. (2004). Urbanization and urban transport in India: the search for a policy. European Transport (27), 26–44.
Schindler, S., von Wehrden, H., Poirazidis, K., Hochachka, W. M., Wrbka, T., & Kati, V. (2015). Performance of methods to select landscape metrics for modelling species richness. Ecological Modelling, 295, 107–112.
Singh, S. K., Laari, P. B., Mustak, S., Srivastava, P. K., & Szabó, S. (2018). Modelling of land use land cover change using earth observation data-sets of Tons River Basin, Madhya Pradesh, India. Geocarto International, 33(11), 1202–1222.
Singh, S. K., Srivastava, P. K., Szabó, S., Petropoulos, G. P., Gupta, M., & Islam, T. (2017). Landscape transform and spatial metrics for mapping spatiotemporal land cover dynamics using Earth Observation data-sets. Geocarto International, 32(2), 113–127.
Small, C., Elvidge, C. D., Balk, D., & Montgomery, M. (2011). Spatial scaling of stable night lights. Remote Sensing of Environment, 115(2), 269–280.
Tomaselli, V., Veronico, G., Sciandrello, S., & Blonda, P. (2016). How does the selection of landscape classification schemes affect the spatial pattern of natural landscapes? An assessment on a coastal wetland site in southern Italy. Environmental Monitoring Assessment, 188(6), 356.
Wang, Q., Yuan, T., & Zheng, X. (2013). GDP gross analysis at province-level in China based on night-time lightsatellite imagery. Urban Development Studies, 20(07), 44–48.
Wang, Y., Xu, D., & Zhu, X. (2010). The spatial-temporal characteristics of the urban and town construction land expansion in Jiangsu Province from DMSP-OLS nighttime images. Modern Urban Research, 25(02), 67–73.
Wu, J., Hao, S., Peng, J., Huang, X., & Zhang, I. (2014). Research on spatial characteristics of urban development based on DMSP-OLS data. Geography and Geo-Information Science, 30(2), 20–25. https://doi.org/10.7702/dlydlxxkx20140205
Wu, J., He, S., Peng, J., Li, W., & Zhong, X. (2013). Intercalibration of DMSP-OLS night-time light data by the invariant region method. International Journal of Remote Sensing, 34(20), 7356–7368. https://doi.org/10.1080/01431161.2013.820365
Xu, L. (2019). Spatial-temporal Evolution of Urban Expansion in the Yangtze River Delta Urban Agglomeration based on NPP-VIIRS Data. D, Shanghai Normal University,
Yang, Y., Qingxu, H., & Liling, Z. (2015). The Spatialtemporal measurement on the land urbanization level using DMSP/OLS Nighttime Light Data—a case study of Bohai Rim. Economic Geography, 35(2), 141–148.
Zhang, Z. (2020). Analytic study on spatial evolution characteristics of Chengdu-Chongqing urban agglomeration based on DMSP/LANDSAT data. Chongqing Architecture, 19(01), 26–31. https://doi.org/10.3969/j.issn.1671-9107.2020.01.026
Zhao, M., Zhou, Y., Li, X., Cheng, W., Zhou, C., Ma, T., et al. (2020). Mapping urban dynamics (1992–2018) in Southeast Asia using consistent nighttime light data from DMSP and VIIRS. Remote Sensing of Environment, 248, 111980. https://doi.org/10.1016/j.rse.2020.111980
Zheng, Y., He, Y., & Wang, X. (2020). Application review and prospect of Nighttime light remote sensing data. Remote Sensing Information, 35(3), 1–14. https://doi.org/10.3969/j.issn.1000-3177.2020.03.001
Funding
This research was supported by the National Natural Science Foundation of China (Grant No. 42171413); the National Key Research and Development Program of China (Grant No. 2017YFB0503500), the Shandong Provincial Natural Science Foundation (Grant No. ZR2020MD015 and ZR2020MD018), the Major Science and Technology Innovation Project of Shandong Province (Grant No. 2019JZZY020103), and the Young Teacher Development Support Program of Shandong University of Technology (Grant No. 4072–115016).
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JF and PZ proposed the idea, designed the experiments, and provided the funding for possible publication fees. PZ revised the manuscript and provided some instructions on data analysis. GS performed most of the data analysis and wrote the paper. MZ and QJ performed some data analysis and drawn the images. JC edited the language and performed part of data processing work.
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Sun, G., Zhang, M., Fan, J. et al. A Comparative Study on the Characteristics of the Urbanization Processes Between China and India from 1992 to 2013 Using DMSP-OLS NTL Images. J Indian Soc Remote Sens 49, 3059–3070 (2021). https://doi.org/10.1007/s12524-021-01443-1
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DOI: https://doi.org/10.1007/s12524-021-01443-1