Moving Window Method: An Effective Approach to Measure Surrounding Greenness
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RESEARCH ARTICLE
Moving Window Method: An Effective Approach to Measure Surrounding Greenness Qingyan Meng1,2
•
Yunxiao Sun3 • Xu Chen1,2,4 • Juan Li1 • Xuemiao Wang1,4 • Jun Wu1,4
Received: 23 March 2020 / Accepted: 10 September 2020 Ó Indian Society of Remote Sensing 2020
Abstract A number of studies have shown that urban green space (UGS) can improve the health and well-being of urban residents. However, the commonly used UGS measurement method has its obvious limitations, such as abrupt changes of measurement results in adjacent sites and complex operation process. This paper proposed a new approach to measure surrounding greenness based on moving window method, and identified its characteristics and applicability by comparison with the grid method and the buffer method in the core area of Sze´kesfehe´rva´r, Hungary. Spatial distribution, average, standard deviation and correlation were compared between the three kinds of measurement results. In general, all above three methods could describe the variety of surrounding greenness in areas with different building density, and the result of moving window method was more similar to the result of grid method. The descending order of the probability of contacting surrounding greenness is residential area, research area and commercial area. Statistically significant associations were found between the measurement results of the moving window method and the grid method as well as the moving window method and the buffer method (both R2 [ 0.87). Moreover, moving window method was well suited for measuring surrounding greenness because of its ability to describe spatial distribution in more details. Keywords Moving window method Urban green space Surrounding greenness Urban green index Remote sensing
Introduction & Qingyan Meng [email protected] Yunxiao Sun [email protected] Xu Chen [email protected] Juan Li [email protected] Xuemiao Wang [email protected] Jun Wu [email protected] 1
Chinese Academy of Sciences, Aerospace Information Research Institute, Haidian District, Beijing 100094, China
2
Sanya Institute of Remote Sensing, Tianya District, Sanya 572029, China
3
School of Geology and Geomatics, Tianjin Chengjian University, Xiqing District, Tianjin 300384, China
4
University of Chinese Academy of Sciences, Shijingshan District, Beijing 100049, China
Urbanization both in population and spatial extent, transforms the landscape from the natural cover types to impervious urban lands, and consequently causes huge environmental problems (Feyisa et al. 2016; Cai et al. 2019). The rent from alternative land-use for areas allocated to green space is high in compact cities (Li et al. 2015; Panduro and Veie 2013). As a result of the dense urban populations and increasing demands, the development route of UGS has changed (Wang et al. 2019). At the same time, as an important element of ecological networks, UGS provides a number of valuable direct and indirect services to surrounding parcels, which span from provision of recreational opportunities to maintenance f
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