Sphagnum is one of the most important carbon sequestration plants in terrestrial ecosystem, which accounts for approximately 15% of global soil carbon. In recent decades, the changes in the hydrothermal status of Sphagnum bogs caused by global warming have directly affected the amount and rate of carbon fixed by Sphagnum. In this study, the most important subalpine peat bogs of China, the Mt. Shennongjia Dajiu Lake Sphagnum palustre bog, was selected as the experimental area to analyze the effect of climate change on the vegetation growth of Sphagnum bogs in the mid-latitude area. The Moderate Resolution Imaging Spectroradiometer (MODIS) vegetation indices NDVI (Normalized Difference Vegetation Index) and EVI (Enhanced Vegetation Index) were used as data sources from 2000-2017 to compare the advantages and disadvantages of NDVI and EVI time series, revised by the logistic model in monitoring the vegetation growth status of Sphagnum bogs. The best index was selected to obtain the change trend of Sphagnum bogs vegetation growth in the past 18 years. The results showed that: (1) the logistic model can effectively eliminate the noise on the time series of Sphagnum palustre bog vegetation index. (2) in the seasonal and annual time scales, the EVI monitors the vegetation growth of Sphagnum palustre bog better than NDVI. In the seasonal scale, although both EVI and NDVI reflected the regularity of the growth cycle of Sphagnum palustre bog vegetation, EVI was more sensitive to the time period of the change. In the annual analysis, EVI had a greater range of response space to accurately reflect the annual variation of Sphagnum palustre bog vegetation. (3) the change in the trend of Sphagnum palustre bog vegetation in the past 18 years was obtained by EVI, it was found that the annual average growth rate of Sphagnum palustre bog vegetation showed a remarkably steady growth, with an average annual EVI growth rate of 3.8‰ (R²=0.45, P < 0.01). Compared with the annual average of EVI, the annual maximum (R²=0.47,P < 0.01) reflects the dynamic changes of Sphagnum palustre bog vegetation growth more sensitively.