IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v11y2022i3p430-d772413.html
   My bibliography  Save this article

Comparison of Impervious Surface Dynamics through Vegetation/High-Albedo/Low-Albedo/Soil Model and Socio-Economic Factors

Author

Listed:
  • Kapo Wong

    (School of Nursing, The Hong Kong Polytechnic University, Hong Kong 999666, China)

  • Yuanzhi Zhang

    (School of Marine Science, Nanjing University of Information Science and Technology, Nanjing 210044, China
    Center for Housing Innovations, Institute of Asia-Pacific Studies, Faculty of Social Science, Chinese University of Hong Kong, Hong Kong 999777, China)

  • Qiuming Cheng

    (School of Earth Sciences and Engineering, Sun Yat-sen University, Zhuhai 519000, China)

  • Ming Chun Chao

    (Department of Architecture and Civil Engineering, City University of Hong Kong, Hong Kong 999666, China)

  • Jin Yeu Tsou

    (Department of Architecture and Civil Engineering, City University of Hong Kong, Hong Kong 999666, China)

Abstract

Hong Kong and Shenzhen have entirely different land-use development policies, resulting in a disparity in the increase rate of impervious surface area. Impervious surface estimation is a significant method for evaluating urbanization, so that countries and cities can deal with their growing populations. The impervious surface area was estimated through Landsat Thematic Mapper (TM) image extraction, the V-H-L-S (vegetation, high-albedo, low-albedo, and soil) model, and linear spectral un-mixing analysis (LSUM). Changes in fractions of endmembers over periods of time were identified and employed to analyze changes in land use and land cover (LULC). The research adopting the V-H-L-S model for classifying land cover and exploring the association of change in impervious surface areas and socio-economic growth over a period of time is limited. In this study, impervious surface estimations for Hong Kong and Shenzhen in 1995, 2005, and 2016 were compared, selecting vegetation, high-albedo, low-albedo, and soil as endmembers. The change rate of the fractions in the four endmembers was calculated to identify changes in land use and land cover during these three specific time periods. The impervious surface was determined to constitute a combination of high-albedo and low-albedo. Moreover, a proportional relationship exists between the increase in impervious surface area, population rate, GDP, and GDP per capita in both Hong Kong and Shenzhen. However, there was a difference in the increase in impervious surface area between Hong Kong and Shenzhen due to the different land-use policies in the country’s two systems.

Suggested Citation

  • Kapo Wong & Yuanzhi Zhang & Qiuming Cheng & Ming Chun Chao & Jin Yeu Tsou, 2022. "Comparison of Impervious Surface Dynamics through Vegetation/High-Albedo/Low-Albedo/Soil Model and Socio-Economic Factors," Land, MDPI, vol. 11(3), pages 1-20, March.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:3:p:430-:d:772413
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/11/3/430/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/11/3/430/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kapo Wong & Yuanzhi Zhang & Jin Yeu Tsou & Yu Li, 2017. "Assessing Impervious Surface Changes in Sustainable Coastal Land Use: A Case Study in Hong Kong," Sustainability, MDPI, vol. 9(6), pages 1-20, June.
    2. Kar-yiu Wong & Win Lin Chou, 1997. "Economic Growth and International Trade: the case of Hong Kong," Working Papers 0080, University of Washington, Department of Economics.
    3. Leo F. Goodstadt, 2010. "The Global Crisis: Why Laisser-faire Hong Kong Prefers Regulation," Working Papers 012010, Hong Kong Institute for Monetary Research.
    4. Wei Wang & Xinfeng Yao & Junpeng Zhai & Minhe Ji, 2014. "A Tetrahedron-Based Endmember Selection Approach for Urban Impervious Surface Mapping," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-16, June.
    5. Kar-yiu Wong & Win Lin Chou, 1997. "Economic Growth and International Trade: the case of Hong Kong," Discussion Papers in Economics at the University of Washington 0080, Department of Economics at the University of Washington.
    6. Peiyue Li & Hui Qian & Jianhua Wu, 2014. "Environment: Accelerate research on land creation," Nature, Nature, vol. 510(7503), pages 29-31, June.
    7. Yunfei Peng & Jing Qian & Fu Ren & Wenhui Zhang & Qingyun Du, 2016. "Sustainability of Land Use Promoted by Construction-to-Ecological Land Conversion: A Case Study of Shenzhen City, China," Sustainability, MDPI, vol. 8(7), pages 1-16, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lorenzo Escot & Miguel-Angel Galindo, 2000. "International capital flows and convergence in the neoclassical growth model," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 6(3), pages 451-460, August.
    2. Yuqing An & Jin Yeu Tsou & Kapo Wong & Yuanzhi Zhang & Dawei Liu & Yu Li, 2018. "Detecting Land Use Changes in a Rapidly Developing City during 1990–2017 Using Satellite Imagery: A Case Study in Hangzhou Urban Area, China," Sustainability, MDPI, vol. 10(9), pages 1-14, September.
    3. Quah Chee-Heong, 2019. "China’s Dollar-linked Hong Kong during the Global Crisis," Apuntes del Cenes, Universidad Pedagógica y Tecnológica de Colombia, vol. 38(67), pages 95-121, February.
    4. Dawei Wen & Song Ma & Anlu Zhang & Xinli Ke, 2021. "Spatial Pattern Analysis of the Ecosystem Services in the Guangdong-Hong Kong-Macao Greater Bay Area Using Sentinel-1 and Sentinel-2 Imagery Based on Deep Learning Method," Sustainability, MDPI, vol. 13(13), pages 1-16, June.
    5. Peroni Venancio, Luan & Chartuni Mantovani, Everardo & do Amaral, Cibele Hummel & Usher Neale, Christopher Michael & Zution Gonçalves, Ivo & Filgueiras, Roberto & Coelho Eugenio, Fernando, 2020. "Potential of using spectral vegetation indices for corn green biomass estimation based on their relationship with the photosynthetic vegetation sub-pixel fraction," Agricultural Water Management, Elsevier, vol. 236(C).
    6. Jianhua Wu & Ningning Yang & Peiyue Li & Chunliu Yang, 2023. "Influence of Moisture Content and Dry Density on the Compressibility of Disturbed Loess: A Case Study in Yan’an City, China," Sustainability, MDPI, vol. 15(7), pages 1-16, April.
    7. Guoqing Cui & Wenlong Zheng & Siliang Chen & Yue Dong & Tingyu Huang, 2022. "Study on the Spatial Pattern Characteristics and Influencing Factors of Inefficient Urban Land Use in the Yellow River Basin," Land, MDPI, vol. 11(9), pages 1-24, September.
    8. Xinliang Xu & Hongyan Cai & Daowei Sun & Lan Hu & Kwamina E. Banson, 2016. "Impacts of Mining and Urbanization on the Qin-Ba Mountainous Environment, China," Sustainability, MDPI, vol. 8(5), pages 1-15, May.
    9. Hualin Xie, 2017. "Towards Sustainable Land Use in China: A Collection of Empirical Studies," Sustainability, MDPI, vol. 9(11), pages 1-9, November.
    10. Yuming Wu & Hengxing Lan, 2022. "Study on the Deformation of Filling Bodies in a Loess Mountainous Area Based on InSAR and Monitoring Equipment," Land, MDPI, vol. 11(8), pages 1-17, August.
    11. Yu Zhuang & Aiguo Xing, 2022. "History must not repeat itself-urban geological safety assessment is essential," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(2), pages 2141-2145, March.
    12. Zhiyu Qi & Zhiqing Li, 2023. "The Influence of Overburden Stress and Molding Water Content on the Microstructure of Remolded Loess," Sustainability, MDPI, vol. 15(16), pages 1-20, August.
    13. Shubing Dai & Yulei Ma & Kuandi Zhang, 2022. "Land Degradation Caused by Construction Activity: Investigation, Cause and Control Measures," IJERPH, MDPI, vol. 19(23), pages 1-14, November.
    14. Rui Zhao & Kening Wu & Xiaoliang Li & Nan Gao & Mingming Yu, 2021. "Discussion on the Unified Survey and Evaluation of Cultivated Land Quality at County Scale for China’s 3rd National Land Survey: A Case Study of Wen County, Henan Province," Sustainability, MDPI, vol. 13(5), pages 1-26, February.
    15. Xingjian Liu & Ben Derudder & Mingshu Wang, 2018. "Polycentric urban development in China: A multi-scale analysis," Environment and Planning B, , vol. 45(5), pages 953-972, September.
    16. Weijia Tan & Qiangbing Huang & Xing Chen, 2022. "Physical Model Test on the Interface of Loess Fill Slope," Land, MDPI, vol. 11(8), pages 1-17, August.
    17. Kaixuan Dai & Shi Shen & Changxiu Cheng & Sijing Ye & Peichao Gao, 2020. "Trade-Off Relationship of Arable and Ecological Land in Urban Growth When Altering Urban Form: A Case Study of Shenzhen, China," Sustainability, MDPI, vol. 12(23), pages 1-20, December.
    18. Chunbo Huang & Yi Qin & Xixi Du & Jiawen He & Xin Fan, 2022. "Ecosystem Health and Environmental Geography in the Belt and Road Regions," IJERPH, MDPI, vol. 19(10), pages 1-21, May.
    19. Junlei Meng & Yang Gao, 2024. "Analysis of Urban Expansion and Heat-Island Effect of Hefei Based on ENVI," Sustainability, MDPI, vol. 16(14), pages 1-22, July.
    20. Fu-Lai Tony Yu, 2004. "From a ‘Barren Rock’ to the Financial Hub of East Asia: Hong Kong's Economic Transformation in the Coordinating Perspective," Asia Pacific Business Review, Taylor & Francis Journals, vol. 10(3-4), pages 360-381, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:11:y:2022:i:3:p:430-:d:772413. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.