Using machine learning to examine street green space and their associations with socioeconomic factors in Los Angeles County
Highlights This study used machine learning models to classify the type of vegetation (i.e., tree, low-lying vegetation, grass) from street view images and investigated the associations between street green space and socioeconomic (SES) factors, in Los Angeles County, California. We found that high resolution street view imagery coupled with deep learning approach can accurately and
