The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B4-2022
https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-559-2022
https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-559-2022
02 Jun 2022
 | 02 Jun 2022

RESEARCH ON THE LANDSCAPE PATTERN OF URBAN PARKS AND GREEN SPACES – TAKING THE MAIN URBAN AREA OF WUHAN CITY AS AN EXAMPLE

Y. Sun, Y. Yang, M. Luo, X. Zhang, Q. Cheng, and Y. Wang

Keywords: Main Urban Area, Park Green Space, Landscape Pattern, Green Space Patch, Wuhan City

Abstract. Based on the combination of landscape ecology theory and GIS technology, this paper selects the landscape pattern index at the patch type level and landscape level from the two aspects of unit characteristics and landscape heterogeneity, and quantitative analysis of the landscape pattern of parks and green spaces in the main urban area of Wuhan City and suggestions for optimization are put forward. The research results show that: from the patch level, the park green space in the main urban area mainly presents a landscape pattern dominated by comprehensive parks, supplemented by specialized parks, and supplemented by community parks and strip parks. Among them, Hongshan District Park has the largest green space patch area, and Jianghan District has the smallest area; in terms of the average patch area of park green space, the strip park is the largest and the community park is the smallest. From the perspective of landscape level, the diversity index and evenness index of park green space in each district in the main urban area are generally low, among which Jianghan District is the lowest and Hongshan District is the highest; the degree of fragmentation is relatively high in Jianghan District and the lowest in Hongshan District.The patch boundary shape of comprehensive park is complex and has the highest fractal dimension, while that of community park is regular and has the lowest fractal dimension. On this basis, this paper puts forward targeted optimization suggestions based on the research results.