关键词: 沉陷监测, DInSAR, 无人机, 融合数据, 概率积分参数

Abstract: The surface subsidence caused by coal mining activities has become an important factor affecting the sustainable development of mining areas. It is necessary to use appropriate monitoring methods to effectively monitor and analyze the subsidence of mining areas. Traditional Differential Interferometric Synthetic Aperture Radar (DInSAR) is limited in monitoring large gradient subsidence caused by mining. And it is difficult to monitor the edge of mining area with high precision using unmanned aerial vehicle (UAV) technology. This study proposes the integration of DInSAR and UAV, two non-equal-precision monitoring technologies, and uses the traditional ground measurement to verify them. The advantages of the three data are complementary to achieve high-precision monitoring of the mining area. The probability integral parameters of coal panel 81403 in the Yangquan coal mine are inversed using the fused data. The results show that the inversion parameter results are basically close to the measured parameter results. It has certain reference value for the prevention of mine geological disasters.