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Urban Ecological Quality Assessment Based on Google Earth Engine and Driving Factors Analysis: A Case Study of Wuhan City, China

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  • Weiwei Zhang

    (School of Geography Science and Geomatics Engineering, Suzhou University of Science and Technology, Suzhou 215000, China
    School of Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou 215000, China
    Suzhou Key Laboratory of Spatial Information Intelligent Technology and Application, Suzhou 215000, China)

  • Wanqian Zhang

    (School of Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou 215000, China)

  • Jianwan Ji

    (School of Geography Science and Geomatics Engineering, Suzhou University of Science and Technology, Suzhou 215000, China
    Suzhou Key Laboratory of Spatial Information Intelligent Technology and Application, Suzhou 215000, China)

  • Chao Chen

    (School of Geography Science and Geomatics Engineering, Suzhou University of Science and Technology, Suzhou 215000, China
    Suzhou Key Laboratory of Spatial Information Intelligent Technology and Application, Suzhou 215000, China)

Abstract

Ecological quality is a critical factor affecting the livability of urban areas. Remote sensing technology enables the rapid assessment of ecological quality (EQ), providing scientific theoretical support for the maintenance and management of urban ecology. This paper evaluates and analyzes the EQ and its driving factors in the city of Wuhan using remote sensing data from five periods: 2001, 2006, 2011, 2016, and 2021, supported by the Google Earth Engine (GEE) platform. By employing principal component analysis, a Remote Sensing Ecological Index (RSEI) was constructed to assess the spatiotemporal differences of EQ in Wuhan City. Furthermore, the study utilized the optimal parameter-based geographical detector model to analyze the influence of factors such as elevation, slope, aspect, population density, greenness, wetness, dryness, and heat on the RSEI value in 2021 and further explored the impact of changes in precipitation and temperature on the EQ in Wuhan. The results indicate that (1) principal component analysis shows that greenness and wetness positively affect Wuhan’s EQ, while dryness and heat have negative impacts; (2) spatiotemporal analysis reveals that from 2001 to 2021, the EQ in Wuhan showed a trend of initial decline followed by improvement, with the classification grades evolving from poor and average to good and better; (3) the analysis of driving factors shows that all nine indicators have a certain impact on the EQ in Wuhan, with the influence ranking as NDVI > NDBSI > LST > WET > elevation > population density > GDP > slope > aspect; (4) the annual average temperature and precipitation in Wuhan have a non-significant impact on the EQ. The EQ in Wuhan has improved in recent years, but comprehensive management still requires enhancement.

Suggested Citation

  • Weiwei Zhang & Wanqian Zhang & Jianwan Ji & Chao Chen, 2024. "Urban Ecological Quality Assessment Based on Google Earth Engine and Driving Factors Analysis: A Case Study of Wuhan City, China," Sustainability, MDPI, vol. 16(9), pages 1-23, April.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:9:p:3598-:d:1382633
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    References listed on IDEAS

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    1. Haojun Xiong & Haozhi Hu & Pingyang Han & Min Wang, 2023. "Integrating Landscape Ecological Risks and Ecosystem Service Values into the Ecological Security Pattern Identification of Wuhan Urban Agglomeration," IJERPH, MDPI, vol. 20(4), pages 1-21, February.
    2. Maomao Zhang & Abdulla-Al Kafy & Bing Ren & Yanwei Zhang & Shukui Tan & Jianxing Li, 2022. "Application of the Optimal Parameter Geographic Detector Model in the Identification of Influencing Factors of Ecological Quality in Guangzhou, China," Land, MDPI, vol. 11(8), pages 1-20, August.
    3. Lopez, R., 2004. "Urban sprawl and risk for being overweight or obese," American Journal of Public Health, American Public Health Association, vol. 94(9), pages 1574-1579.
    4. Jinling Zhang & Ying Hou & Yifan Dong & Cun Wang & Weiping Chen, 2022. "Land Use Change Simulation in Rapid Urbanizing Regions: A Case Study of Wuhan Urban Areas," IJERPH, MDPI, vol. 19(14), pages 1-19, July.
    5. Qijiao Xie & Yidi Han & Liming Zhang & Zhong Han, 2023. "Dynamic Evolution of Land Use/Land Cover and Its Socioeconomic Driving Forces in Wuhan, China," IJERPH, MDPI, vol. 20(4), pages 1-18, February.
    6. Qiang Liu & Feihong Yu & Xingmin Mu, 2022. "Evaluation of the Ecological Environment Quality of the Kuye River Source Basin Using the Remote Sensing Ecological Index," IJERPH, MDPI, vol. 19(19), pages 1-21, September.
    7. Christopher Dickens & Matthew McCartney & David Tickner & Ian J. Harrison & Pablo Pacheco & Brown Ndhlovu, 2020. "Evaluating the Global State of Ecosystems and Natural Resources: Within and Beyond the SDGs," Sustainability, MDPI, vol. 12(18), pages 1-22, September.
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