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Combined Use of C- and X-Band SAR Data for Subsidence Monitoring in an Urban Area

机译:结合使用C波段和X波段SAR数据进行市区沉降监测

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In this study, we present the detection and characterization of ground displacements in the urban area of Pisa (Central Italy) using Interferometric Synthetic Aperture Radar (InSAR) products. Thirty RADARSAT-2 and twenty-nine COSMO-SkyMed images have been analyzed with the Small BAseline Subset (SBAS) algorithm, in order to quantify the ground subsidence and its temporal evolution in the three-year time interval from 2011 to 2014. A borehole database was reclassified in stratigraphical and geotechnical homogeneous units, providing the geological background needed for the local scale analysis of the recorded displacements. Moreover, the interferometric outputs were compared with the last 30 years’ urban evolution of selected parts of the city. Two deformation patterns were recorded by the InSAR data: very slow vertical movements within the defined stability threshold (±2.5 mm/yr) and areas with subsidence rates down to ?5 to ?7 mm/yr, associated with high peak velocities (?15 to ?20 mm/yr) registered by single buildings or small groups of buildings. Some of these structures are used to demonstrate that the high subsidence rates are related to the recent urbanization, which is the trigger for the accelerated consolidation process of highly compressible layers. Finally, this urban area was a valuable test site for demonstrating the different results of the C- and X-band data processing, in terms of the density of points and the quality of the time series of deformation.
机译:在这项研究中,我们介绍了使用干涉合成孔径雷达(InSAR)产品对比萨(意大利中部)市区的地面位移进行检测和表征。为了量化2011年至2014年这三年时间间隔内的地面沉降及其随时间的变化,已经使用小型BAseline子集(SBAS)算法分析了30幅RADARSAT-2和29幅COSMO-SkyMed图像。数据库以地层和岩土均质单位重新分类,提供了对记录的位移进行局部比例分析所需的地质背景。此外,将干涉仪输出与该城市部分地区最近30年的城市演变进行了比较。 InSAR数据记录了两种变形模式:在定义的稳定度阈值(±2.5 mm / yr)内非常缓慢的垂直运动以及沉降速率低至?5至?7 mm / yr的区域,与高峰值速度有关(?15 ≤20毫米/年)由单个建筑物或小组建筑物注册。这些结构中的一些用来证明高沉降率与最近的城市化有关,这是高度可压缩层加速固结过程的触发因素。最后,这个市区是一个有价值的测试地点,用于展示C波段和X波段数据处理的不同结果,包括点的密度和变形时间序列的质量。

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