sustainability Article Distribution of Urban Blue and Green Space in Beijing and Its Influence Factors Haoying Wang 1,2 , Yunfeng Hu 1,3,* , Li Tang 1,2 and Qi Zhuo 2 1 State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
[email protected] (H.W.);
[email protected] (L.T) 2 School of Civil Engineering and Architecture, Jishou University, Zhangjiajie 427000, China;
[email protected] 3 College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China * Correspondence:
[email protected] Received: 7 February 2020; Accepted: 11 March 2020; Published: 13 March 2020 Abstract: Urban blue and green space is a key element supporting the normal operation of urban landscape ecosystems and guaranteeing and improving people’s lives. In this paper, 97.1k photos of Beijing were captured by using web crawler technology, and the blue sky and green vegetation objects in the photos were extracted by using the Image Cascade Network (ICNet) neural network model. We analyzed the distribution characteristics of the blue–green space area proportion index and its relationships with the background economic and social factors. The results showed the following. (1) The spatial distribution of Beijing’s blue–green space area proportion index showed a pattern of being higher in the west and lower in the middle and east. (2) There was a positive correlation between the satellite remote sensing normalized difference vegetation index (NDVI) and the proportion index of green space area, but the fitting degree of geospatial weighted regression decreased with an increasing analysis scale.