Skip to main content
SpringerLink
Log in

Spatial-Temporal Monitoring of Urban Growth: A Case in Kunming, Southwest China

  • Conference paper
  • First Online:
Geo-Informatics in Resource Management and Sustainable Ecosystem ( 2015, GRMSE 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 569))

Abstract

With the rapid growth of urban population and economic development, the urban growth has also accelerated dramatically. The paper monitored the urban growth of Kunming by detecting the land use change after supervised classification and analyzing urban expansion rate and intensity index in 1974–2013. The result shows the urban has experienced rapid expansion. Moreover, since 1992 the spatial extension has speed up. The main source of land expansion were farmland, woodland and grassland. And the urban expansion is expanding rapidly to the southeast, northwest and northeast with the old city as the core in Kunming. The urban growth is mainly affected by the natural terrain, economy, population and administrative factors. The study summarized the regularity of expansion and the driving force factors of the city growth, and provide a basis theory for future urban healthy development and provide experience for relevant government and scholars.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

References

  1. Nunes, C., Auge, J.I.: Land-use and land-cover change (LUCC): Implementation strategy (1999)

    Google Scholar 

  2. Turner, B.L., Skole, D.L., Sanderson, S., et al.: Land-use and land-cover change. Science/Research Plan. J. Global Change Report (Sweden) (1995)

    Google Scholar 

  3. Turner, B.L., Robbins, P.: Land-change science and political ecology: similarities, differences, and implications for sustainability science. Annu. Rev. Environ. Resour. 33, 295–316 (2008)

    Article  Google Scholar 

  4. Benjamin, S.P., Clarke, K., Findley, J.E., et al.: Geography for a changing world: a science strategy for the geographic research of the US Geological Survey, 2005–2015. US Department of the Interior, US Geological Survey (2005)

    Google Scholar 

  5. Rindfuss, R.R., Walsh, S.J., Turner, B.L., et al.: Developing a science of land change: challenges and methodological issues. Proc. Natl. Acad. Sci. U.S.A. 101(39), 13976–13981 (2004)

    Article  Google Scholar 

  6. Zong, W.: Research on Land Use/Land Cover Change and Driving Forces Mechanism in Coastal Zone of Shanghai. East China Normal University, Shanghai (2012). (in Chinese)

    Google Scholar 

  7. Shen, L., Cheng, S., Gunson, A.J., et al.: Urbanization, sustainability and the utilization of energy and mineral resources in China. Cities 22(4), 287–302 (2005)

    Article  Google Scholar 

  8. Ramalho, C.E., Hobbs, R.J.: Time for a change: dynamic urban ecology. Trends Ecol. Evol. 27(3), 179–188 (2012)

    Article  Google Scholar 

  9. State Statistics Bureau, China’s urbanization rate statistics (1949–2013). (in Chinese). http://wenku.baidu.com/

  10. Lin, M., Shi, Y., Chen, Y., et al.: A study on spatial-temporal features of construction land expansion in Changsha urban area. Geogr. Res. 226(2), 265–274 (2007). (in Chinese)

    Google Scholar 

  11. Li, B.: Dynamic Monitoring and Simulation of Urban Spatial Expansion Using Multi-Sources Remote Sensing Data. Zheiiang University, Hangzhou (2012). (in Chinese)

    Google Scholar 

  12. Sudhira, H.S., Ramachandra, T.V., Jagadish, K.S.: Urban sprawl: metrics, dynamics and modelling using GIS. Int. J. Appl. Earth Obs. Geoinformation 5(1), 29–39 (2004)

    Article  Google Scholar 

  13. Dietzel, C., Herold, M., et al.: Spatio-temporal dynamics in California s Central Valley: Empirical links to urban theory. Int. J. Geog. Inf. Sci. 19(2), 175–195 (2005)

    Article  Google Scholar 

  14. Zhang, X., Liu, M., Meng, F.: Expansion of urban construction land in shanghai city based on RS and GIS. Resour. Environ. Yangtze Basin 15(1), 29–33 (2006). (in Chinese)

    Google Scholar 

  15. Kuang, W., Liu, J., Shao, Q., et al.: Spatio-temporal patterns and driving forces of urban expansion in Beijing central city since 1932. J. Geo-information Sci. 11(4), 428–435 (2009). (in Chinese)

    Article  Google Scholar 

  16. Ren, W., Jiang, D., Dong, D., et al.: A study on remote sensing monitoring and evolution characteristics of urban expansion of Chengdu city. J. Gansu Sci. 26(2), 15–21 (2014). (in Chinese)

    Google Scholar 

  17. Cui, X., Wang, Y.: Social and human driven mechanism of urban land expansion-case study of city of Shanghai. China Civ. Eng. J. S2, 306–310 (2012). (in Chinese)

    Google Scholar 

  18. Liu, L., Wang, Y., Chen, G., et al.: Research of urban change monitoring based on multi-source remote sensing data: a case of Zhengzhou city. Areal Res. Dev. 29(1), 136–140 (2010). (in Chinese)

    Google Scholar 

  19. Chen, S., Pu, X.: Monitoring and analysis of urban expansion of Chengdu city based on RS. Resour. Dev. Market 9, 779–781 (2012). (in Chinese)

    Google Scholar 

  20. Jiao, L., Wu, S.: Analyzing the characteristics of the expansion of the metropolises in China from 1990 to 2010 using self-organizing neural network. Geomatics Inf. Sci. Wuhan Univ. 12, 009 (2014). (in Chinese)

    Google Scholar 

  21. Zhou, X.: Research on Urban Space Shape Evolution of Kunming. Chongqing Uniwersity, Chongqing (2008). (in Chinese)

    Google Scholar 

  22. Zhu, Y., Yao, S., Liyujian: On the Urban Spatial Evolution in the Process of Urbanization in China. Geogr. Territorial Res. 16(2), 12–16 (2000). (in Chinese)

    Google Scholar 

  23. Herold, M., Goldstein, N.C., Clarke, K.C.: The spatiotemporal form of urban growth: measurement, analysis and modeling. Remote Sens. Environ. 86(3), 286–302 (2003)

    Article  Google Scholar 

  24. Grimm, N.B., Faeth, S.H., Golubiewski, N.E., et al.: Global change and the ecology of cities. Science 319(5864), 756–760 (2008)

    Article  Google Scholar 

  25. Bart, I.L.: Urban sprawl and climate change: a statistical exploration of cause and effect, with policy options for the EU. Land Use Policy 27(2), 283–292 (2010)

    Article  Google Scholar 

  26. Batty, M., Xie, Y., Sun, Z.: Modeling urban dynamics through GIS-based cellular automata. Comput. Environ. Urban Syst. 23(3), 205–233 (1999)

    Article  Google Scholar 

  27. Zeng, H., Yu, H., Guo, Q.: Dynamic model construction and simulation study of town landuse for Longhua area, Shenzhen city. Acta Ecologica Sin. 20(4), 545–551 (2000). (in Chinese)

    Google Scholar 

  28. Barredo, J.I., Kasanko, M., McCormick, N., et al.: Modelling dynamic spatial processes: simulation of urban future scenarios through cellular automata. Landscape Urban Plann. 64(3), 145–160 (2003)

    Article  Google Scholar 

  29. Oluseyi, O.F.: Urban land use change analysis of a traditional city from remote sensing data: The case of Ibadan metropolitan area, Nigeria. Humanity Soc. Sci. J. 1(1), 42–64 (2006)

    Google Scholar 

  30. Shen, X.: Urban Sprawl and Dynamie Simulation of Shanghai. East China Normal University, Shanghai (2010). (in Chinese)

    Google Scholar 

  31. Yang, B., Fang, Y., Feng, H., et al.: Construction land expansion in urbanization process of Dongguan city. J. Geo-information Sci. 11(5), 684–690 (2009). (in Chinese)

    Article  Google Scholar 

  32. Li, X., Yang, G., Zhang, X., et al.: Application of multiscal sementation to the detection of urban expansion. J. Mt. Res. 3, 005 (2014). (in Chinese)

    Google Scholar 

  33. Zhou, X., Wang, Y.: Spatial–temporal dynamics of urban green space in response to rapid urbanization and greening policies. Landscape Urban Plann. 100, 268–277 (2011)

    Article  Google Scholar 

  34. Xu, H.: Remote sensing information extraction of urban built-up land based on a data-dimension compression technique. J. Image Graph. 10(2), 223–229 (2005). (in Chinese)

    Google Scholar 

  35. Cai, H., Li, J.: Comparison of the urban area expanding of Kunming supported by ERDAS software. Geomatics Spat. Inf. Technol. 29(4), 72–75 (2006). (in Chinese)

    Google Scholar 

  36. Feng, S.: Studies on 32 years Land use cover change and its drivering forces in Kunming suburbs. TroPical Botanical Garden Chinese Aeademy of Science, Xishuangbanna (2009). (in Chinese)

    Google Scholar 

  37. Li, H.: Research on temporal and spatial evolution and driving forces of urban construction land expansion based on GIS in Kunming. Yunnan University of Finance and Economics, Kunming (2012). (in Chinese)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Ecology and Geobotany, Yunnan University, 2 Northern Green-Lake Road, Kunming, 650091, China

    Min Liu, Zhiming Zhang, Hongli Zhang, Mingyu Yang & Xiaokun Ou

  2. Yunnan Key Laboratory of International Rivers and Transboundary Eco-Security, Yunnan University, 2 Northern Green-Lake Road, Kunming, 650091, China

    Min Liu

  3. Kunming University of Science and Technology, No. 727 South Jingming Road, Chenggong, 650500, China

    Ding Song

Authors
  1. Min Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zhiming Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Hongli Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Mingyu Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Ding Song
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Xiaokun Ou
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Xiaokun Ou .

Editor information

Editors and Affiliations

  1. Wuhan University , Wuhan, China

    Fuling Bian

  2. Eastern Michigan University , Ypsilanti, China

    Yichun Xie

Rights and permissions

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 2.5 International License (http://creativecommons.org/licenses/by-nc/2.5/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

Reprints and permissions

Copyright information

© 2016 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Liu, M., Zhang, Z., Zhang, H., Yang, M., Song, D., Ou, X. (2016). Spatial-Temporal Monitoring of Urban Growth: A Case in Kunming, Southwest China. In: Bian, F., Xie, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2015 2015. Communications in Computer and Information Science, vol 569. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49155-3_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-49155-3_11

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-49154-6

  • Online ISBN: 978-3-662-49155-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation