Abstract: It is of great significance to monitor the change of soil moisture in mining areas in the fields of resource exploitation,ecological protection and drought waening in western China the Buertai mining area affiliated to Shendong coal group as the study area OLI time series satellite images with similar phases taken from 2000 to 2017 were used to extract the normalized difference vegetation index(NDVI)and land surface temperature(LST),in order to construct NDVI-LST spectral feature space and calculate the temperature vegetation dryness index(TVDI)of the mining area. Then,spatial distribution map of the soil moisture grade in the mining area was made to analyze the variation trends of soil moisture in the mining area and its influencing factors showed that under the consistent condition of vegetation phenology in August and September,the surface soil moisture in the Buertai mining area showed an increasing trend from 2000 to 2017,and there was no obvious drying phenomenon,which was related to the artificial restoration of the mining area and the improvement of the mining environment.