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Exploitation of large archives of ERS and ENVISAT C-band SAR data to characterize ground deformations

机译:利用ERS和ENVISAT C波段SAR数据的大型档案来表征地面变形

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摘要

In the last few years, several advances have been made in the use of radar images to detect, map and monitor ground deformations. DInSAR (Differential Synthetic Aperture Radar Interferometry) and A-DInSAR/PSI (Advanced DInSAR/Persistent Scatterers Interferometry) technologies have been successfully applied in the study of deformation phenomena induced by, for example, active tectonics, volcanic activity, ground water exploitation, mining, and landslides, both at local and regional scales. In this paper, the existing European Space Agency (ESA) archives (acquired as part of the FP7-DORIS project), which were collected by the ERS-1/2 and ENVISAT satellites operating in the microwave C-band, were analyzed and exploited to understand the dynamics of landslide and subsidence phenomena. In particular, this paper presents the results obtained as part of the FP7-DORIS project to demonstrate that the full exploitation of very long deformation time series (more than 15 years) can play a key role in understanding the dynamics of natural and human-induced hazards. © 2013 by the authors.
机译:在过去的几年中,在使用雷达图像检测,绘制和监视地面变形方面取得了一些进展。 DInSAR(差分合成孔径雷达干涉法)和A-DInSAR / PSI(先进DInSAR /持久散射体干涉法)技术已成功应用于研究由活动构造,火山活动,地下水开采,采矿等引起的变形现象。以及本地和区域范围内的滑坡。在本文中,分析并利用了现有的欧洲航天局(ESA)档案(作为FP7-DORIS项目的一部分而获得),这些档案是由在微波C波段工作的ERS-1 / 2和ENVISAT卫星收集的了解滑坡和沉降现象的动态。特别是,本文介绍了作为FP7-DORIS项目一部分而获得的结果,以证明充分利用非常长的变形时间序列(超过15年)可以在理解自然和人为引起的动力学方面发挥关键作用。危害。 ©2013作者。

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