基于D-InSAR技术的煤矿区沉陷监测

煤炭开采引起的地表移动变形时间集中、形变量大,使得基于D-In SAR技术的煤矿区沉陷监测受到了诸多的限制,很难获取准确的地表沉陷信息。为使D-In SAR技术能够更好地应用于煤矿区沉陷监测,采用"两轨法"差分干涉技术处理了多景Radar Sat-2影像数据,通过实验分析了植被因素对影像相干性的影响,探究了监测量级对地表沉陷信息解译结果的影响,并以峰峰矿区的九龙矿为试验区对D-In SAR技术的监测精度进行了分析。结果表明:地表植被覆盖率是影响影像间相干性的决定性因素,在地表植被稀疏的冬季相比植被茂盛的夏季更适合使用DIn SAR技术进行地表形变监测;由于地质采矿条件复杂,导致地表下沉速度超过卫星可监测范围,通常只能准确监测到盆地边缘的形变;当沉降量不超过监测量级时,D-In SAR技术的监测结果与常规水准测量的结果大致吻合;随着相关理论研究的不断深入与处理软件的日趋成熟,D-In SAR技术在煤矿区沉陷监测中的应用前景将更为广阔。

Coal Mine Subsidence Monitoring Based on D-InSAR Technology

Due to time concentration and large deformation in ground movement and deformation caused by coal mining，there are various limitations in monitoring coal mining subsidence with D-InSAR，and it is difficult to obtain accurate surface subsidence information.In order to apply D-InSAR technology to monitoring land subsidence in coal-mining areas，RadarSat-2 data are processed by “two-pass” differential interference technology.The effects of vegetation factor on the coherence between images were analyzed through experiments，and the influence of monitoring magnitude on the interpretation results of surface subsidence was explored.With Jiulong mine in Fengfeng coal mining area as an experimental zone，the monitoring precision based on D-InSAR technology was analyzed.The results show that vegetation coverage rate is the decisive factor of affecting the coherence between images，and D-InSAR technology can be better used in less vegetation in winter than more vegetation in summer.Subsidence velocity exceeds the range that can be monitored by the satellite and only the deformation of the basin edge can be accurately monitored due to the complexity of geological and mining conditions；when mining subsidence does not exceed monitoring magnitude，the monitoring results by D-InSAR technology are consistent with the usual leveling monitoring data.With the depth of relevant theory and the maturity of processing software，the D-InSAR technology will have a broader application prospect in coal-mining areas.