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

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 ove...

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Main Authors: Liu, Donglie, Shao, Yunfeng, Liu, Zhenguo, Riedel, Björn, Sowter, Andrew, Niemeier, Wolfgang, Bian, Zhengfu
Format: Article
Published: MDPI 2014
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Online Access:https://eprints.nottingham.ac.uk/3048/
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author Liu, Donglie
Shao, Yunfeng
Liu, Zhenguo
Riedel, Björn
Sowter, Andrew
Niemeier, Wolfgang
Bian, Zhengfu
author_facet Liu, Donglie
Shao, Yunfeng
Liu, Zhenguo
Riedel, Björn
Sowter, Andrew
Niemeier, Wolfgang
Bian, Zhengfu
author_sort Liu, Donglie
building Nottingham Research Data Repository
collection Online Access
description 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.
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spelling nottingham-30482020-05-04T16:43:00Z https://eprints.nottingham.ac.uk/3048/ Evaluation of InSAR and TomoSAR for monitoring deformations caused by mining in a mountainous area with high resolution satellite-based SAR Liu, Donglie Shao, Yunfeng Liu, Zhenguo Riedel, Björn Sowter, Andrew Niemeier, Wolfgang Bian, Zhengfu 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. MDPI 2014-02-19 Article PeerReviewed Liu, Donglie, Shao, Yunfeng, Liu, Zhenguo, Riedel, Björn, Sowter, Andrew, Niemeier, Wolfgang and Bian, Zhengfu (2014) Evaluation of InSAR and TomoSAR for monitoring deformations caused by mining in a mountainous area with high resolution satellite-based SAR. Remote Sensing, 6 (2). pp. 1476-1495. ISSN 2072-4292 Satellite-based SAR InSAR SBAS-DInSAR 4-D TomoSAR Phase gradient Detectable deformation gradient Coal mine http://www.mdpi.com/2072-4292/6/2/1476 doi:10.3390/rs6021476 doi:10.3390/rs6021476
spellingShingle Satellite-based SAR
InSAR
SBAS-DInSAR
4-D TomoSAR
Phase gradient
Detectable deformation gradient
Coal mine
Liu, Donglie
Shao, Yunfeng
Liu, Zhenguo
Riedel, Björn
Sowter, Andrew
Niemeier, Wolfgang
Bian, Zhengfu
Evaluation of InSAR and TomoSAR for monitoring deformations caused by mining in a mountainous area with high resolution satellite-based SAR
title Evaluation of InSAR and TomoSAR for monitoring deformations caused by mining in a mountainous area with high resolution satellite-based SAR
title_full Evaluation of InSAR and TomoSAR for monitoring deformations caused by mining in a mountainous area with high resolution satellite-based SAR
title_fullStr Evaluation of InSAR and TomoSAR for monitoring deformations caused by mining in a mountainous area with high resolution satellite-based SAR
title_full_unstemmed Evaluation of InSAR and TomoSAR for monitoring deformations caused by mining in a mountainous area with high resolution satellite-based SAR
title_short Evaluation of InSAR and TomoSAR for monitoring deformations caused by mining in a mountainous area with high resolution satellite-based SAR
title_sort evaluation of insar and tomosar for monitoring deformations caused by mining in a mountainous area with high resolution satellite-based sar
topic Satellite-based SAR
InSAR
SBAS-DInSAR
4-D TomoSAR
Phase gradient
Detectable deformation gradient
Coal mine
url https://eprints.nottingham.ac.uk/3048/
https://eprints.nottingham.ac.uk/3048/
https://eprints.nottingham.ac.uk/3048/