Abstract: In order to quickly and accurately obtain the growth status of the restored vegetation,and then grasp the change law of ecological restoration,and provide reference for the subsequent resource exploitation and ecological environmental protection of the mine,it is very important to monitor and evaluate the ecological restoration status. The normalized differential vegetation index (NDVI) is the most widely used vegetation index in remote sensing monitoring,but NDVI has inherent defects such as soil background and saturation problems,which will lead to the phenomenon of NDVI being amplified (reduced) in the case of low (high) vegetation coverage. Based on the Landsat and GF series remote sensing data from 2014 to 2023,this paper takes a mining area in Shanxi Province as the study example,and uses the growth root normalized differential vegetation index with higher accuracy index (GRNDVI) monitored and evaluated the vegetation restoration status before and during mining in the study area,and the results showed that from 2014 to 2023,the area of bare land in the study area was increasing,and the vegetation in the study area was in a state of mining and restoration,and the vegetation in the study area changed from the dominance of low vegetation to the dominance of medium vegetation under the effect of vegetation restoration. Linear regression analysis showed that the slope of the annual root normalized differential vegetation index was 0. 022,indicating that the vegetation growth in the study area showed a slow improvement trend in the past 10 years,and the comprehensive restoration effect of the restored vegetation in the study area was between low and medium restoration effects,but there was still a negative growth trend of 8. 434 km 2 of vegetation. The results of this study are of great significance for understanding the restoration of mine vegetation and formulating mining plans according to local conditions,balancing mining and environmental sustainable development. 

Key words: remote sensing monitoring,vegetation growth,trend analysis,ecological assessment