The green view index is a three-dimensional dynamic measurement index of people’s environmental perception, which provides a new direction for constructing and evaluating urban road greening. This paper takes the streets in the core area of historical and cultural features of Changsha as the research object, uses big data technology to capture the panoramic static images of the Baidu Map, extracts street view image information, and uses Python-OpenCV to calculate the road green view index. Then explore the overall situation and characteristics of the road green view index in this area, and the road green view index of different levels and different plant configuration forms are analyzed to summarize their rules. At the same time, through different years, 2017 and 2019, the same season, the same street spots of a green rate comparison, analysis, and reason for the change. At last, the article puts forward some suggestions for improving and optimizing the green view index of roads in the core area of historical and cultural features in Changsha further to promote the greening construction of urban roads in Changsha.