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Evaluation of InSAR and TomoSAR for monitoring deformations caused by mining in a mountainous area with high resolution satellite-based SAR

机译:利用InSAR和TomoSAR评估具有高分辨率卫星SAR的山区采矿引起的变形

摘要

Interferometric Synthetic Aperture Radar (InSAR) and Differential Interferometric Synthetic Aperture Radar (DInSAR) have shown numerous applications for subsidence monitoring. In the past 10 years, the Persistent Scatterer InSAR (PSI) and Small BAseline Subset (SBAS) approaches were developed to overcome the problem of decorrelation and atmospheric effects, which are common in interferograms. However, DInSAR or PSI applications in rural areas, especially in mountainous regions, can be extremely challenging. In this study we have employed a combined technique, i.e., SBAS-DInSAR, to a mountainous area that is severely affected by mining activities. In addition, L-band (ALOS) and C-band (ENVISAT) data sets, 21 TerraSAR-X images provided by German Aerospace Center (DLR) with a high resolution have been used. In order to evaluate the ability of TerraSAR-X for mining monitoring, we present a case study of TerraSAR-X SAR images for Subsidence Hazard Boundary (SHB) extraction. The resulting data analysis gives an initial evaluation of InSAR applications within a mountainous region where fast movements and big phase gradients are common. Moreover, the experiment of four-dimension (4-D) Tomography SAR (TomoSAR) for structure monitoring inside the mining area indicates a potential near all-wave monitoring, which is an extension of conventional InSAR.
机译:干涉式合成孔径雷达(InSAR)和差分干涉式合成孔径雷达(DInSAR)在沉降监测方面显示出许多应用。在过去的十年中,持续散射InSAR(PSI)和小型BAseline子集(SBAS)方法得到了发展,以克服干涉图中常见的去相关和大气效应问题。但是,在农村地区,特别是在山区,DInSAR或PSI应用可能极具挑战性。在这项研究中,我们在受采矿活动严重影响的山区采用了SBAS-DInSAR组合技术。此外,使用了L波段(ALOS)和C波段(ENVISAT)数据集,以及由德国航空航天中心(DLR)提供的高分辨率的21张TerraSAR-X图像。为了评估TerraSAR-X进行采矿监测的能力,我们以一个TerraSAR-X SAR图像用于沉降危险边界(SHB)提取的案例研究为例。所得的数据分析初步评估了InSAR在山区(快速移动和大相位梯度常见)中的应用。此外,在矿区内部进行结构监测的四维(4-D)断层成像SAR(TomoSAR)实验表明,潜在的全波监测潜力是对传统InSAR的扩展。

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