APPLYING AIR QUALITY SENSORS AND REMOTELY SENSED OPEN DATA TO EXPLORE THE RELATIONSHIP AMONG URBAN GREEN AREAS, AIR QUALITY AND LAND SURFACE TEMPERATURE

摘要

This study combined GOv crowdsourcing data and remote sensing images to explore the spatial relationship between urban green areas, air quality and land surface temperature (LST). The regression models including ordinary least squares, spatial lag (autoregressive) model and spatial error model were used for spatial relationship exploration. We expect the results could evaluate the current green area configuration in Taichung City and reduce the effect of air pollution and the impact of PM2.5 on the human body.