Previous investigations into Chinese urban air quality have been hampered by a lack of available data. In this work we present a new statistical modelling technique, in which sparse ground-based measurements of nitrogen dioxide (NO₂) are combined with satellite data and other parameters (e.g. road networks) to create high-resolution maps of daily surface NO₂ concentrations over Hong Kong. These maps can be used to estimate population exposure, and to identify at-risk groups.