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

Kapo Wong, Yuanzhi Zhang, Qiuming Cheng, Ming Chun Chao and Jin Yeu Tsou
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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
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

Land, 2022, vol. 11, issue 3, 1-20

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.

Keywords: impervious surface; V-H-L-S model; linear spectrum un-mixing analysis; endmember; urbanization (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2022
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