It is important to locate and optimize the atmospheric environmental monitoring points in mid-scale regions. This paper,
taking Hubei province as a case study, analyzed the situations of weather, climate conditions, terrain features and
economics status, firstly, and proposed an idea of air environmental impact division, which required land classification.
The study area was then classified into three feature types from MODIS data with GIS software, and, the original
monitoring points of air environmental quality was optimized by means of fuzzy clustering. The results showed that the
optimized points equaled to the present monitoring points that had just been changed. These methods can help other
areas where the land surface is rough or complex in locating the atmospheric environmental monitoring points.