Monitoring ground deformation in Beijing, China with persistent scatterer SAR interferometry

Ng, Alex Hay‐Man; Liu, Ge; Li, Xiaojing; Zhang, Kui

doi:10.1007/s00190-011-0525-4

Cited by 109 publications

(64 citation statements)

References 22 publications

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“…Eleven ALOS-1 images were acquired in HH and HV dual-polarisation while the other twelve were acquired in HH single polarisation. The dual-polarisation data (HH) were oversampled by a factor of two in range direction [17] and the final pixel spacing in azimuth and range were 4.82 m and 5.55 m, respectively. All the ASAR images were acquired in VV single polarisation with the azimuth and range pixel spacing of 7.80 m and 4.06 m, respectively.…”

Section: Datasetsmentioning

confidence: 99%

“…Orbit Refinement A first-order equation is utilised to remove the linear phase "ramp" induced by residual orbital error because it is assumed that there is no deformation with a linear spatial trend in the study region [17,34]. Equation (2) is then applied to each interferogram.…”

Section: Measurement Point Pixels Selectionmentioning

confidence: 99%

“…The Least-squares AMBiguityDecorrelation Adjustment (LAMBDA) [14] is exploited to estimate the DEM error and relative velocity for each MP pixel. During the estimation, arcs with "ensemble phase coherence" [8] less than 0.75 and 0.5 are assumed to be unreliable and removed from further analysis for both ALOS-1 PALSAR dataset and ENVISAT ASAR datasets, respectively, because these MP pixels are not likely to have high phase stability, while isolated MP pixels related to these arcs are also deleted [17]. To estimate the absolute linear deformation velocity and DEM error, a maximum likelihood regression-based M-estimator [35] is exploited in this study, which belongs to the robust-fitting family [36,37].…”

Section: Network Construction and Integrationmentioning

confidence: 99%

“…Indeed, they have been successfully applied in wide urbanized areas such as Las Vegas [14] and Beijing [17]. SqueeSAR and GEOS-ATSA can be applied to non-urban regions with good results because they select not only PS pixels, but also DS pixels [2,26].…”

Section: Introductionmentioning

confidence: 99%

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Subsidence Monitoring over the Southern Coalfield, Australia Using both L-Band and C-Band SAR Time Series Analysis

Liu

et al. 2016

Remote Sensing

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Land subsidence is a global issue and researchers from all over the world are keen to know the causes of deformation and its further influences. This paper reports the findings from time series InSAR (TS-InSAR) results over the Southern Coalfield, Australia using both ALOS-1 PALSAR (Phased Array type L-band Synthetic Aperture Radar) and ENVISAT ASAR (Advanced Synthetic Aperture Radar) datasets. TS-InSAR has been applied to both rural and urban areas with great success, but very few of them have been applied to regions affected by underground mining activities. The TS-InSAR analysis exploited in this paper is based on GEOS-ATSA, and Measurement Point (MP) pixels are selected according to different geophysical features. Three experiment sites with different geological settings within the study zone are analysed: (1) Wollongong city, which is a relatively stable area; (2) Tahmoor town, a small town affected by underground mining activities; and (3) the Appin underground mining site, a region containing multiple underground mining activities. The TS-InSAR results show that the performance of both C-band and L-band is equally good over Wollongong, where the subsidence gradient is not significant and most subsidence rates are between´10 mm¨yr´1 to 10 mm¨yr´1. However, over the Tahmoor and Appin sites, difference in performances has been observed. Since the maximum displacement gradients that can be detected are different for L-band and C-band-based TS-InSAR methods, some rapid changes could cause the TS-InSAR to fail to estimate the correct displacements. It is well known that L-band can perform better than C-band, especially in underground mining regions and mining-affected regions where the deformation rate is much higher than city areas because of its wavelength. Statistical analyses are also conducted to further prove the above statement.

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Section: Datasetsmentioning

confidence: 99%

Section: Measurement Point Pixels Selectionmentioning

confidence: 99%

Section: Network Construction and Integrationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Subsidence Monitoring over the Southern Coalfield, Australia Using both L-Band and C-Band SAR Time Series Analysis

Liu

et al. 2016

Remote Sensing

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“…MT-InSAR has been successfully and extensively used in monitoring the deformations Remote Sens. 2017, 9, 1129 2 of 22 induced by exploitation of underground fluids, such as groundwater [7,[14][15][16][17][18][19][20][21], oil [22][23][24][25][26][27][28][29][30][31], natural gas [14,30,[32][33][34][35][36][37], and geothermal [38][39][40][41][42][43][44][45], because of its low cost, wide spatial coverage, high measurement precision, and fine spatial resolution. However, MT-InSAR can capture only one-dimensional (1-D) time-series deformation that includes the sum of projections on the line-of-sight (LOS) direction of actual 3-D time series ground deformations.…”

Section: Introductionmentioning

confidence: 99%

Deriving 3-D Time-Series Ground Deformations Induced by Underground Fluid Flows with InSAR: Case Study of Sebei Gas Fields, China

Liu

Sun

et al. 2017

Remote Sensing

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Multi-temporal Interferometric Synthetic Aperture Radar (MT-InSAR) technique has proven to be a powerful tool for the monitoring of time-series ground deformations along the line-of-sight (LOS) direction. However, the one-dimensional (1-D) measurements cannot provide comprehensive information for interpreting the related geo-hazards. Recently, a novel method has been proposed to map the three-dimensional (3-D) deformation associated with underground fluid flows based on single-track InSAR LOS measurements and the deformation modeling associated with the Green's function. In this study, the method is extended in temporal domain by exploiting the MT-InSAR measurements, and applied for the first time to investigate the 3-D time series deformation over Sebei gas field in Qinghai, Northwest China with 37 Sentinel-1 images acquired during October 2014-July 2017. The estimated 3-D time series deformations provide a more complete view of ongoing deformation processes as compared to the 1-D time series deformations or the 3-D deformation velocities, which is of great importance for assessing the possible geohazards. In addition, the extended method allows for the retrieval of time series of fluid volume changes due to the gas extraction in the Sebei field, which agrees well with those from the PetroChina Qinghai Oilfield Company Yearbooks (PQOCYs). This provides a new way to study the variations of subsurface fluids at unprecedented resolution.

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Persistent Scatterer Interferometry (PSI) Technique for Landslide Characterization and Monitoring

Tofani

Raspini

Catani

2014

Landslide Science for a Safer Geoenvironment

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Abstract:The measurement of landslide superficial displacement often represents the most effective method for defining its behavior, allowing one to observe the relationship with triggering factors and to assess the effectiveness of the mitigation measures. Persistent Scatterer Interferometry (PSI) represents a powerful tool to measure landslide displacement, as it offers a synoptic view that can be repeated at different time intervals and at various scales. In many cases, PSI data are integrated with in situ monitoring instrumentation, since the joint use of satellite and ground-based data facilitates the geological interpretation of a landslide and allows a better understanding of landslide geometry and kinematics. In this work, PSI interferometry and conventional ground-based monitoring techniques have been used to characterize and to monitor the Santo Stefano d'Aveto landslide located in the Northern Apennines, Italy. This landslide can be defined as an earth rotational slide. PSI analysis has contributed to a more in-depth investigation of the phenomenon. In particular, PSI measurements have allowed better redefining of the boundaries of the landslide and the state of activity, while the time series analysis has permitted better understanding of the deformation pattern and its relation with the causes of the landslide itself. The integration of ground-based monitoring data and PSI data have provided sound results for landslide characterization. The punctual information deriving from inclinometers can help in defining the actual location of the sliding surface and the involved volumes, while the measuring of pore water pressure conditions or water table level can suggest a correlation between the deformation patterns and the triggering factors.

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Monitoring ground deformation in Beijing, China with persistent scatterer SAR interferometry

Cited by 109 publications

References 22 publications

Subsidence Monitoring over the Southern Coalfield, Australia Using both L-Band and C-Band SAR Time Series Analysis

Subsidence Monitoring over the Southern Coalfield, Australia Using both L-Band and C-Band SAR Time Series Analysis

Deriving 3-D Time-Series Ground Deformations Induced by Underground Fluid Flows with InSAR: Case Study of Sebei Gas Fields, China

Persistent Scatterer Interferometry (PSI) Technique for Landslide Characterization and Monitoring

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