Analysis of the Spatiotemporal Evolution of the Green Space Pattern in the Central Urban Area of Zhengzhou City

With the continuous advancement of urbanization, exploring the evolution law of the green space pattern in the central urban area of Zhengzhou can provide a theoretical basis for improving the ecological environment and assisting the sustainable development of the city. Taking the central urban area of Zhengzhou as the research area, based on the GF remote sensing images of three periods in 2015, 2020 and 2024, this paper uses GIS and RS methods, random forest classification, and land use transfer matrix to conduct a quantitative study on the law of the spatiotemporal evolution of green space. The results show that: (1) From 2015 to 2024, the area of green space in the central urban area of Zhengzhou continued to decrease, from 522.85 km² to 442.84 km². The quantity and scale of various types of green space showed an evolution trend of "three decreases, one increase, and an overall decline". (2) The area of green space showed an increasing trend along the ring road, and a large amount of green space was concentrated outside the Fourth Ring Road. (3) From 2015 to 2020, the transfer types of the green space area in the central urban area were ranked as follows: cultivated land, forest land, grassland, and water area. From 2020 to 2024, the transferred area of forest land was slightly smaller than that of grassland.

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Publication Details

Journal
Academic Journal of Science and Technology
Published
2025-05-19
DOI
https://doi.org/10.54097/jynygh76
Primary Topic
Regional Development and Environment
Type
article
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Analysis of the Spatiotemporal Evolution of the Green Space Pattern in the Central Urban Area of Zhengzhou City

Liu Xiao-min
Academic Journal of Science and Technology
Regional Development and Environment
article

Analysis of the Spatiotemporal Evolution of the Green Space Pattern in the Central Urban Area of Zhengzhou City

Liu Xiao-min
article en

Abstract

With the continuous advancement of urbanization, exploring the evolution law of the green space pattern in the central urban area of Zhengzhou can provide a theoretical basis for improving the ecological environment and assisting the sustainable development of the city. Taking the central urban area of Zhengzhou as the research area, based on the GF remote sensing images of three periods in 2015, 2020 and 2024, this paper uses GIS and RS methods, random forest classification, and land use transfer matrix to conduct a quantitative study on the law of the spatiotemporal evolution of green space. The results show that: (1) From 2015 to 2024, the area of green space in the central urban area of Zhengzhou continued to decrease, from 522.85 km² to 442.84 km². The quantity and scale of various types of green space showed an evolution trend of "three decreases, one increase, and an overall decline". (2) The area of green space showed an increasing trend along the ring road, and a large amount of green space was concentrated outside the Fourth Ring Road. (3) From 2015 to 2020, the transfer types of the green space area in the central urban area were ranked as follows: cultivated land, forest land, grassland, and water area. From 2020 to 2024, the transferred area of forest land was slightly smaller than that of grassland.

Academic Journal of Science and TechnologyVol. 15(2)
Henan Polytechnic University (CN)
Openalex Percentile: Top 86%
Regional Development and Environment
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Analysis of the Spatiotemporal Evolution of the Green Space Pattern in the Central Urban Area of Zhengzhou City — Liu Xiao-min · Academic Journal of Science and Technology (2025) | TGRS Research Map | TGRS