Abstract:This study aims to analyze the applicable inversion method to the soil moisture content in the Maodi coal mine area. To achieve this goal, the Aojiawan Township, where the Maodi coal mine is located, was selected as the study area of the subject. The primary data of this study is the Landsat 8 OLI_TIRS data from 2013 to 2021, and the land surface temperature from MODIS was participating as the accuracy assessment data. Moreover, the vegetation supplication water index (VSWI) method was used while inverting the soil moisture content of the study area over the selected years. At last, the spatial and temporal distribution characteristics of soil moisture content and the effects of coal mining on soil moisture were analyzed. Based on the study, there are several results. Firstly, based on the Landsat 8 image data, VSWI can be used to invert the soil moisture content of the Maodi coal mine and its surrounding environments. Secondly, the overall temporal variation of soil moisture content in the study area from 2013 to 2021 showed a fluctuating decrease trend, with a spatial distribution of "high in the north, high in the east, and low in the west". Thirdly, from 2013 to 2021, the soil moisture content in the study area changed significantly, while the overall trend of soil moisture content decreased. Lastly, a series of operations, such as drainage during coal mining, had made the soil moisture content temporarily increased, but long-term mining has led to decrease in soil moisture content. Therefore, this paper mainly studied the change in soil moisture content under the influence of coal mining. The results of this study can provide a scientific reference for real-time monitoring and dynamic prediction of soil moisture content and improvement of the ecological environment in the area.