Accurate monitoring and assessment of vegetation restoration effectiveness are essential for ecological conservation， sustainable development， and environmental management. Previous studies have primarily relied on remote sensing imagery， using two-dimensional monitoring indicators such as Fractional Vegetation Cover （FVC） to assess vegetation restoration effectiveness. However， these studies have focused solely on changes in vegetation coverage area， neglecting structural measures， which limits the precise understanding of ecological governance effects. To address these limitations， this study proposes the integration of LiDAR technology with two-dimensional optical remote sensing for a more comprehensive and accurate monitoring approach in ecological restoration areas. This method combines two-dimensional indicators derived from optical remote sensing imagery with three-dimensional indicators obtained from UAV LiDAR to capture both changes in vegetation coverage and structural differences， enabling comprehensive monitoring and evaluation of vegetation restoration effectiveness. To validate the feasibility of this method， four mine restoration areas in Beijing were selected as examples. Using UAV LiDAR point cloud data in 2022 and Sentinel-2 time series remote sensing imagery data from 2018 to 2022， four vegetation structure indicators （canopy height， canopy cover， leaf area index， and canopy entropy） and two-dimensional plane indicators of FVC were calculated for the study areas. Various analytical methods， including comparative analysis and trend analysis， were employed to evaluate the vegetation restoration situation in the study areas. The results indicate a significant increasing trend in vegetation coverage area in all mining areas from 2018 to 2022. However， when evaluating vegetation structure indicators， only one mining area exhibited consistency between structural indicators and two-dimensional evaluation results. This suggests that both increased vegetation coverage area and improved vegetation structure in this specific mining area. In contrast， other mining areas only showed an increase in vegetation coverage area， emphasizing the need for subsequent efforts to enhance the restoration and management of vegetation structure. The introduction of LiDAR technology alongside optical remote sensing provides a more comprehensive assessment approach， offering more accurate references for ecological restoration effectiveness evaluation and the further implementation of ecological restoration projects.