Spatial-Temporal Pattern and Driving Forces of Fractional Vegetation Coverage in Xiong’an New Area of China from 2005 to 2019

Zhiqing Huang, Haitao Qiu, Yonggang Cao, Adu Gong () and Jiaxiang Wang
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Zhiqing Huang: Beijing Key Laboratory of Environmental Remote Sensing and Digital City, Department of Geographic Science, Beijing Normal University, Beijing 100875, China
Haitao Qiu: Aerospace Long-March International Trade Co., Ltd., Beijing 100054, China
Yonggang Cao: Weihai Municipal Water Resources Affairs Service Center, Weihai 264200, China
Adu Gong: Beijing Key Laboratory of Environmental Remote Sensing and Digital City, Department of Geographic Science, Beijing Normal University, Beijing 100875, China
Jiaxiang Wang: College of Earth Science, Chengdu University of Technology, Chengdu 610059, China

Sustainability, 2023, vol. 15, issue 15, 1-25

Abstract: The Xiong’an New Area was officially established in 2018 to construct a new, intelligent, and efficient urban area to alleviate Beijing’s non-capital functions. Using Landsat satellite images, we employed the dimidiate pixel model, band operation, and transition matrix to analyze the temporal and spatial variations in FVC (Fractional Vegetation Coverage) within the Xiong’an New Area in 2005, 2013, and 2019, respectively. Urbanization rate, precipitation, temperature, and population were considered potential driving forces, which we analyzed using grey relational analysis and linear regression to explore the correlation between FVC and these factors. The findings are as follows: from 2005 to 2019, overall improvement and significant degradation have been observed. In Baiyangdian, a part of the national key ecological area, water bodies and FVC have increased. Grey relational analysis revealed that precipitation had the highest grey relational value of 0.76. The average correlation among natural factors was 0.67, while that among human factors was 0.60. Generally, the Xiong’an New Area vegetation exhibited instability, while Baiyangdian demonstrated relatively stable FVC. Grey relational analysis indicates a strong potential for social and economic development in the Xiong’an New Area.

Keywords: Xiong’an New Area; fractional vegetation coverage; spatial and temporal variation; dimidiate pixel model; grey relational analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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