Landscape pattern analysis of green space in central urban area of Zhuhai city
Sun Caige, LI Xiao-jun, Kaiwen Zhong, Xulong Liu, Liu Wangshuai, Peng Longjun
Abstract
Sun Caige, LI Xiao-jun, Kaiwen Zhong, Xulong Liu, Liu Wangshuai, Peng Longjun
Abstract
Urban green space has significant influence on urban environment. In this paper, 6 types of urban green space were classified precisely through methods of human-computer interaction based on Pléiades images. Distribution pattern of different green space and the spatial structure features of the whole green space in the central urban area in Zhuhai city were analyzed. The results showed that (1) Zhuhai has good ecological environment with high green space rate of 51.54% and per capita green space area of 33.51m2. (2) The population density distribute unevenness and the green space didn't match the population density well. (3) Green space of park and green space of attached land were the main types in the central urban area in Zhuhai city. The composition of green space is different among communities and large differences appeared in various types of different communities. (4) The landscape metrics showed the green space in the central urban area of Zhuhai city had the characteristic of rich types, uniform distribution, high fragmentation and low agglomeration. These results provide data support for Zhuhai's declaration of “national ecological garden city”, and some suggestions proposed will guide for other small and medium-sized cities' urban green space planning and construction.
OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Urban green space has significant influence on urban environment. In this paper, 6 types of urban green space were classified precisely through methods of human-computer interaction based on Pléiades images. Distribution pattern of different green space and the spatial structure features of the whole green space in the central urban area in Zhuhai city were analyzed. The results showed that (1) Zhuhai has good ecological environment with high green space rate of 51.54% and per capita green space area of 33.51m2. (2) The population density distribute unevenness and the green space didn't match the population density well. (3) Green space of park and green space of attached land were the main types in the central urban area in Zhuhai city. The composition of green space is different among communities and large differences appeared in various types of different communities. (4) The landscape metrics showed the green space in the central urban area of Zhuhai city had the characteristic of rich types, uniform distribution, high fragmentation and low agglomeration. These results provide data support for Zhuhai's declaration of “national ecological garden city”, and some suggestions proposed will guide for other small and medium-sized cities' urban green space planning and construction.
Key concepts: Geography, Urban landscape, Remote sensing, Environmental science, Environmental planning