Surface subsidence monitoring of coal mines is of great significance for ensuring mining safety and assessing ecological disturbances. This study, based on unmanned aerial vehicle (UAV) oblique photography and multispectral remote sensing technology, utilized multi-period elevation data to invert dynamic subsidence basins and combined ground control points to verify the accu-racy. It revealed the spatiotemporal distribution characteristics and variation patterns of surface subsidence at the working face scale of a coal mine in Inner Mongolia, and calculated the vegeta-tion coverage change ratio between the subsidence area and non-subsidence area of the working face to clarify the impact of subsidence on vegetation. The results show that: (1) UAV oblique photography can achieve high-precision subsidence monitoring, with average errors of 1.48 cm and 2.60 cm in elevation inversion for the two working faces, and inversion errors of 3.37 cm and 1.97 cm in subsidence monitoring results; (2) Subsidence in the mining area shows signifi-cant spatiotemporal heterogeneity. The subsidence center of working face A moved northward due to the disturbance of the goaf, with a subsidence rate of ≥ 2.281 cm/d during the active period, and the subsidence value reached about 1.5 m within two months after mining and then stabi-lized. Due to the lag effect, the subsidence basin of working face B was not fully subsided when it was first monitored one month after mining, and the subsequent monitoring showed that the subsidence basin was mainly concentrated in the actual mining range of the previous month, with a subsidence value of about 2.6 m and then stabilized. A stepped subsidence was monitored, and the horizontal movement speed of the subsidence basin's centroid was 8.36 m/d, which was high-ly consistent with the actual mining progress; (3) The low vegetation coverage in the subsidence area of working face A significantly increased during the mining period, while the medium, me-dium-high and high vegetation coverage generally showed a pattern of "first decreasing and then increasing", with a certain increasing trend in medium and medium-high vegetation coverage after mining cessation. It indicates that mining activities caused vegetation degradation in high-cover areas and promoted growth in low-cover zones, while moderate and moderately-high cover areas also declined during mining but showed self-recovery ability after mining ceased. The find-ings provide a scientific basis for optimizing and precisely designing ecological restoration and land reclamation schemes.