Particulate matters (PMs) have substantial influences on environmental system, climate change and public health. PM monitoring method with high temporal resolution and wide coverage is necessarily for the warning of air pollution. In this study, we used Geostationary satellite Himawari-8 data and other meteorological parameters such as relative humidity (RH) and planetary boundary layer height (PBLH) to estimate hourly PM2.5 concentrations over the southeast coastal region of China. The estimated PM2.5 shows good correlation with the ground-based observation data with the correlation coefficient of 0.66. The retrieval results also show hourly spatial variation of PM2.5 clearly.