The quality of street greening is crucial for the quality of life of residents,especially pedestrians.However,traditional research is limited by the difficulty of data acquisition,and research related to street greening is mostly qualitative.Gulou District,Fuzhou City,is used as an illustration in the paper.Satellite remote sensing images,Tencent Street View data,and mobile signaling data are combined with traditional remote sensing interpretation to measure and contrast the street green view rate and vegetation coverage rate of Gulou District,and further couple it with the population distribution of Gulou across various time periods.Finally,a design improvement strategy for intensive street greening quality is proposed.
关键词
绿视率(GVI)/绿化品质/街景数据
Key words
Green View Index/greenery quality/street view data
万方数据