In view of the lack of multi-index evaluation of urban street greening,this paper takes Binjiang District of Hangzhou City as an example to identify and calculate the street GVI and VSD using FCN-8S semantic segmentation model from a vertical perspective,with the data source of Baidu Street View,and adopts entropy weight method to integrate data for realizing the all-around evaluation of street greening.The results show as follows:1)There are significant differences in the spatial distribution of GVI and VSD in the Binjiang District;2)There are regional differences in the CGL of Binjiang District;and 3)The distribution of most street greening in Binjiang District is unstable.Hence,the future street greening should take account of the needed quantity and structure diversity of greening,and stress the vegetation allocation to reduce regional differences in greening.In addition,the needs of urban construction should be considered for strengthening the stability of street greening and beautifying the city image.
green view index(GVI)vegetation structure diversity(VSD)analysis of difference and integrationBinjiang District,Hangzhou City
NETL
NSTL
万方数据
