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Study on Urban Expansion Using the Spatial and Temporal Dynamic Changes in the Impervious Surface in Nanjing

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  • Yanping Qian

    (College of Landscape Architecture, Nanjing Forestry University, Nanjing 210000, China)

  • Zhen Wu

    (School of Architecture, Nanjing Tech University, Nanjing 210000, China)

Abstract

Impervious surface area is a key factor affecting urbanization and urban environmental quality. It is of great significance to analysis timely and accurately the dynamic changes of impervious surface for urban development planning. In this study, we use a comprehensive method to extract the time series data on the impervious surface area (ISA) from the multi-temporal Landsat remote sensing images with a high overall accuracy of 90%. The processes and mechanisms of urban expansion at different political administration and direction level in the Nanjing metropolitan area are investigated by using the comprehensive classification method consisting of minimum noise fraction, linear spectral mixture analysis, spectral index, and decision tree classifiers. The expansion of Nanjing is examined by using various ISA indexes and concentric regression analyses. Results indicate that the overall classification accuracy of ISA is higher than 90%. The ISA in Nanjing has dramatically increased in the past three decades from 427.36 km 2 to 1780.21 km 2 and with a high expansion rate of 0.48 from 2000 to 2005. The city sprawls from monocentric to urban core with multiple subcenters in a concentric structure, and the geometric gravity center of construction land moves southward annually. The stages of urbanization in different district levels and the dynamic changes in different direction levels are influenced by the topographic and economic factors.

Suggested Citation

  • Yanping Qian & Zhen Wu, 2019. "Study on Urban Expansion Using the Spatial and Temporal Dynamic Changes in the Impervious Surface in Nanjing," Sustainability, MDPI, vol. 11(3), pages 1-22, February.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:3:p:933-:d:205165
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    References listed on IDEAS

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    Cited by:

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    2. Getu, Kenu & Bhat, H Gangadhara, 2021. "Analysis of spatio-temporal dynamics of urban sprawl and growth pattern using geospatial technologies and landscape metrics in Bahir Dar, Northwest Ethiopia," Land Use Policy, Elsevier, vol. 109(C).
    3. Asare, Prince & Atun, Funda & Pfeffer, Karin, 2023. "Nature-Based Solutions (NBS) in spatial planning for urban flood mitigation: The perspective of flood management experts in Accra," Land Use Policy, Elsevier, vol. 133(C).
    4. Eyasu Markos Woldesemayat & Paolo Vincenzo Genovese, 2021. "Urban Green Space Composition and Configuration in Functional Land Use Areas in Addis Ababa, Ethiopia, and Their Relationship with Urban Form," Land, MDPI, vol. 10(1), pages 1-20, January.
    5. Zhichao Li & Helen Gurgel & Minmin Li & Nadine Dessay & Peng Gong, 2022. "Urban Land Expansion from Scratch to Urban Agglomeration in the Federal District of Brazil in the Past 60 Years," IJERPH, MDPI, vol. 19(3), pages 1-19, January.
    6. Zhanzhong Tang & Zengxiang Zhang & Lijun Zuo & Xiao Wang & Xiaoli Zhao & Fang Liu & Shunguang Hu & Ling Yi & Jinyong Xu, 2021. "Spatial Evolution of Urban Expansion in the Beijing–Tianjin–Hebei Coordinated Development Region," Sustainability, MDPI, vol. 13(3), pages 1-23, February.
    7. Aude Zingraff-Hamed & Mathieu Bonnefond & Sebastien Bonthoux & Nicolas Legay & Sabine Greulich & Amélie Robert & Vincent Rotgé & José Serrano & Yixin Cao & Raita Bala & Alvin Vazha & Rebecca E. Tharme, 2021. "Human–River Encounter Sites: Looking for Harmony between Humans and Nature in Cities," Sustainability, MDPI, vol. 13(5), pages 1-20, March.
    8. 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.

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