内蒙古高家梁煤矿的煤炭资源开采和生态环境保护矛盾尖锐，为了及时查明矿区采空地面塌陷的形变程度和演变特征，基于哨兵一号（Sentinel-1）雷达遥感数据，通过短基线集合成孔径雷达干涉测量（small baseline subset interferometric synthetic aperture radar, SBAS-InSAR）技术，获取研究区采空地面塌陷的年均位移速度和累积形变量时间序列等结果，并采用克里金插值法对结果中失相干地区进行科学合理的预测补充。结果表明：监测到的3个塌陷区，分别与203、301和401盘区采空区范围吻合，研究区塌陷以缓慢塌陷为主，最大年均位移速度约为-34 mm/a；监测到的3个盘区塌陷开始时间以及扩张方向与实际情况保持一致，其中401盘区的塌陷范围约为4.56 km²且最大累积形变量约为-189 mm，301盘区和203盘区依次减少；通过高分辨率遥感影像识别到的地裂缝与野外实地验证情况基本吻合，地裂缝集中分布在3个盘区形变最剧烈的区域，经分析后圈定研究区内3个地质灾害高风险区域；采煤工作是研究区采空地面塌陷主要影响因素，此外还与地质环境和降水有关。SBAS-InSAR技术在大范围矿区采空地面塌陷监测方面有着良好应用效果，可为高家梁煤矿地质灾害防治和生态环境修复工作提供一定的技术和数据支撑。

The conflict between coal resource extraction and ecological environmental protection is particularly pronounced in the Gaojialiang coal mine of Inner Mongolia. To accurately characterize the deformation extent and evolutionary patterns of mining-induced ground subsidence within the study area, small baseline subset interferometric synthetic aperture radar (SBAS-InSAR) technology combined with Sentinel-1 radar remote sensing data were utilized to obtain the annual average deformation velocity and time-series cumulative deformation over three primary panels. Additionally, the Kriging interpolation method was employed to predict and supplement data in decoherence regions, ensuring comprehensive coverage of the deformation field. The results show that three distinct subsidence zones are identified, spatially correlated with the mined-out areas of panels 203, 301, and 401, respectively. The subsidence is characterized by slow deformation, with a peak annual average deformation velocity of approximately -34 mm/a. The temporal initiation and spatial propagation of subsidence in the three panels align closely with the actual mining sequence and operational conditions. Among these, panel 401 exhibited the largest subsidence area, covering approximately 4.56 km², with a maximum cumulative deformation of -189 mm, followed by panels 301 and 203 in descending order. Ground fractures identified through high-resolution optical remote sensing imagery are consistent with field investigations, predominantly distributed in the zones of maximum deformation intensity. Based on the deformation characteristics and fractures distribution, three high-risk geohazard zones are delineated within the study area. The primary driver of ground subsidence is attributed to longwall mining activities, while geological structures and precipitation infiltration also contributed to the deformation process. SBAS-InSAR technology has good application effects in monitoring large-scale mining-induced ground subsidence, and can provide crucial technical and data support for geological disaster prevention and ecological environment restoration in Gaojialiang mining area.