Urban Green Space (UGS) plays an important role in the urban environment. This study compares the predictive power of two types of UGS measurements — park proximity and NDVI — in the machine learning models to predict housing prices in Chicago. By incorporating real estate big data, GIS analysis, and Machine Learning techniques, the result indicates NDVI is a strong predictor for single-family residential properties on the fringe of the urban core.