PS-InSAR技术在伯克利山滑坡监测中的应用

针对伯克利山的滑坡问题,利用从1992年到2010年期间获得的大量ERS1/2,Radarsat-1,TerraSAR-X星载雷达数据,提出运用永久散射体(PS-InSAR,Persistent Scatterer Interferometry Synthetic Aperture Radar)技术,以一幅主图像为基准,与其他SAR图像分别进行差分干涉处理,并限定幅度和相位双重阈值选择PS点,分析其相位在时域空域的频谱特性,最后通过滤波处理提取形变部分,结果成功地定位了伯克利山的滑坡区域,得到了地形的形变速率,为今后的灾害预警打下了基础.

Application of PS-InSAR to monitoring Berkeley landslides

To monitor Berkeley hills landslides,stacks of ERS1/2,Radarsat-1 and TerraSAR-X spaceborne SAR data ordered between 1992 and 2010 were utilized by an advanced interferometry method,persistent scatterer interferometry synthetic aperture radar(PS-InSAR).Differential interferometry processing was firstly made between one master SAR scene and all the other SAR scenes.The PS points were then selected by setting thresholds for both amplitude and phase part of SAR data.Based on the spatial and temporal characteristics of SAR differential phase,the deformation phase of PS points was filtered out.The results clearly locate landslides areas and the velocity maps of different SAR data show good consistence with each other.