Abstract
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.
Highlights
Synthetic aperture radar (SAR) is a coherent imaging method by active microwave with a long aperture [1]
Based on the requirements from mining engineering and the different features of various Interferometric SAR (InSAR) techniques, a combined technique Small BAseline Subset (SBAS)-Differential interferometric synthetic aperture radar (DInSAR) is applied to this mountainous area that is severely affected by mining activities
Multiple platform SAR datasets were processed with DInSAR, Persistent Scatterers Interferometry (PSI) and SBAS-DInSAR techniques
Summary
Synthetic aperture radar (SAR) is a coherent imaging method by active microwave with a long aperture [1]. The first type of method, which we will refer to here as Persistent Scatterers Interferometry (PSI), performs an analysis of ‘persistent scatterer’ pixels on a succession of time-ordered images. Another approach, the SBAS (Small BAseline Subset) method, forms many interferograms with short baselines and derives movements with time [3,4]. In this study, both DInSAR and PSI/SBAS methods revealed their limitations when applied to a mountainous mining area with fast earth surface movements [6,7,8]. Based on the requirements from mining engineering and the different features of various InSAR techniques, a combined technique SBAS-DInSAR is applied to this mountainous area that is severely affected by mining activities
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