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Subsidence Detection by PSInSAR Based on High Resolution TerraSAR-X Images

机译:基于高分辨率TerraSAR-X图像的PSInSAR沉降检测

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Land subsidence is a major concern for land use planning and geological risk assessment. Here we describe a persistent scatterer interferometric synthetic aperture radar (PSInSAR) method for subsidence detection. The Jinghai County in Tianjin (China) is selected as the study area, which has been sinking due to the overuse of groundwater. The time series of high resolution SAR images collected by the X-band radar sensor onboard the satellite TerraSARX (TX) are utilized for the PS detection, PS networking and subsidence estimation. The test results show that the high resolution of TX SAR images can dramatically increase the PS density, especially in the built-up areas. Subsidence information can be extracted on the individual objects like buildings, street lamps and manhole covers, and on the linear engineering structures like the Jinghu high speed railway. The TX PSInSAR with short radar wavelength (3.1cm) is quite sensitive to vertical motion, and the derived subsidence measurements are in good agreement with the in situ data taken by optical leveling.
机译:土地沉降是土地利用规划和地质风险评估的主要关注点。在这里,我们描述了一种用于沉降检测的持久散射体干涉合成孔径雷达(PSInSAR)方法。研究区域选择天津(中国)的静海县,该区域由于地下水的过度使用而不断下沉。由卫星TerraSARX(TX)上的X波段雷达传感器收集的高分辨率SAR图像的时间序列用于PS检测,PS联网和沉降估算。测试结果表明,TX SAR图像的高分辨率可以显着提高PS密度,尤其是在建筑物密集区域。可以从诸如建筑物,路灯和人孔盖之类的单个对象以及诸如京沪高铁等线性工程结构上提取沉陷信息。雷达波长短(3.1厘米)的TX PSInSAR对垂直运动非常敏感,并且得出的沉降测量结果与光学水准仪获取的现场数据非常吻合。

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