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Mapping and Characterizing Spatiotemporal Dynamics of Impervious Surfaces Using Landsat Images: A Case Study of Xuzhou, East China from 1995 to 2018

Author

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  • Han Li

    (School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China)

  • Long Li

    (School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China
    Department of Geography & Earth System Science, Vrije Universiteit Brussel, 1050 Brussels, Belgium)

  • Longqian Chen

    (School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China)

  • Xisheng Zhou

    (School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China)

  • Yifan Cui

    (School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China)

  • Yunqiang Liu

    (School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China)

  • Weiqiang Liu

    (School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China)

Abstract

As an effective indicator of urbanization, impervious surfaces play a significant role in urban planning and ecological protection. It is, therefore, important to characterize impervious surfaces in urban geographical studies. As a key city in East China, Xuzhou has experienced rapid urbanization in recent decades and is now becoming an environmentally friendly city. To better understand the spatiotemporal heterogeneity of Xuzhou’s urban development, we extracted its impervious surfaces from Landsat images of 1995, 2003, 2010, and 2018 by a linear spectral mixture analysis. Then, a range of complementary methods including landscape indices, profile lines, median centers, standard deviational ellipses, and spatial autocorrelation were adopted to analyze the landscape pattern and expansion of impervious surfaces on both city and district scales. Results show that (1) there was a constant impervious surface expansion, originating in downtown Xuzhou; (2) promoting ecological protection in urban areas fragmented impervious surfaces with increasing heterogeneity and diversity overall; and (3) expansion directions and rates of impervious surfaces varied with district and town, and the central urban area expanded towards east and southeast, which could be related to their own resources and governmental policies. Findings from this study provide useful insights into urban planning of this economically prospective region.

Suggested Citation

  • Han Li & Long Li & Longqian Chen & Xisheng Zhou & Yifan Cui & Yunqiang Liu & Weiqiang Liu, 2019. "Mapping and Characterizing Spatiotemporal Dynamics of Impervious Surfaces Using Landsat Images: A Case Study of Xuzhou, East China from 1995 to 2018," Sustainability, MDPI, vol. 11(5), pages 1-22, February.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:5:p:1224-:d:209044
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    References listed on IDEAS

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    1. Giuseppe Maggiore & Teodoro Semeraro & Roberta Aretano & Luigi De Bellis & Andrea Luvisi, 2019. "GIS Analysis of Land-Use Change in Threatened Landscapes by Xylella fastidiosa," Sustainability, MDPI, vol. 11(1), pages 1-24, January.
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    Cited by:

    1. Feng, Rundong & Wang, Kaiyong, 2022. "The direct and lag effects of administrative division adjustment on urban expansion patterns in Chinese mega-urban agglomerations," Land Use Policy, Elsevier, vol. 112(C).
    2. Jinyu Zang & Ting Zhang & Longqian Chen & Long Li & Weiqiang Liu & Lina Yuan & Yu Zhang & Ruiyang Liu & Zhiqiang Wang & Ziqi Yu & Jia Wang, 2021. "Optimization of Modelling Population Density Estimation Based on Impervious Surfaces," Land, MDPI, vol. 10(8), pages 1-17, July.
    3. Xiaodong Huang & Wenkai Liu & Yuping Han & Chunying Wang & Han Wang & Sai Hu, 2019. "Performance Evaluation and Comparison of Modified Spectral Mixture Analysis Method for Different Images of Landsat Series Satellites," Sustainability, MDPI, vol. 11(22), pages 1-18, November.
    4. Yuanyuan Tao & Qianxin Wang & Yan Zou, 2021. "Simulation and Analysis of Urban Production–Living–Ecological Space Evolution Based on a Macro–Micro Joint Decision Model," IJERPH, MDPI, vol. 18(18), pages 1-21, September.

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