Comparison of Small Baseline Interferometric SAR Processors for Estimating Ground Deformation

Gong, Wenyu; Thiele, Antje; Hinz, Stefan; Meyer, Franz J.; Hooper, Andrew; Agram, P. S.

doi:10.3390/rs8040330

Cited by 32 publications

(29 citation statements)

References 58 publications

(120 reference statements)

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“…The InSAR time series technique was largely classified by Permanent Scatterers (PS) by Ferretti et al [44,45] and Small Baseline Subsets (SBAS) by Berardino et al [46] according to the InSAR pair connection methods (i.e., 1 to 1 connection in PS and many to many in SBAS). The algorithmic improvements of time series analysis mainly aim for the densification of reliable scatterers and have proven capabilities [47]. However, according to a preliminary PS InSAR analysis, it appeared that the temporal and spatial baseline conditions between SAR images in this study were adequate to address those technical challenges with an ordinary PS algorithm, as shown in Figure 2.…”

Section: Permanent Scatterers Analyses Of Insar Pairsmentioning

confidence: 80%

Seismic Surface Deformation Risks in Industrial Hubs: A Case Study from Ulsan, Korea, Using DInSAR Time Series Analysis

et al. 2019

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The unprecedentedly strong 2016 Gyeongju and 2017 Pohang earthquakes on the Korean Peninsula aroused public concern regarding seismic hazards previously considered improbable. In this study, we investigated the effects of recent seismic activity close to the epicenters of both earthquakes in the heavy industrial complex of Ulsan. This was performed using Sentinel-1 InSAR time series data combined with on-site GPS observations and background GIS data. The interpretations revealed ongoing topographic deformation of a fault line and surrounding geological units of up to 15 mm/year. Postseismic migrations through the fault line, coupled with the two earthquakes, were not significant enough to pose an immediate threat to the industrial facilities or the residential area. However, according to InSAR time series analyses and geophysical modelling, strain from the independent migration trend of a fault line and eventual/temporal topographic changes caused by potential seismic friction could threaten precisely aligned industrial facilities, especially chemical pipelines. Therefore, we conducted probabilistic seismic hazard and stress change analyses over surrounding areas of industrial facilities employing modelled fault parameters based on InSAR observations. These demonstrate the potential of precise geodetic survey techniques for constant monitoring and risk assessment of heavy industrial complexes against seismic hazards by ongoing fault activities.

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Section: Permanent Scatterers Analyses Of Insar Pairsmentioning

confidence: 80%

Seismic Surface Deformation Risks in Industrial Hubs: A Case Study from Ulsan, Korea, Using DInSAR Time Series Analysis

et al. 2019

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“…Moreover, the single displacement measurements, computed with respect to a reference point of known motion, show a sub-centimetric accuracy, with a standard deviation of about 5 mm, consistently in both the SAR/levelling and SAR/GPS comparisons. Different SB multi-pass DInSAR tools have been developed in the recent years for the reconstruction of ground deformation [119][120][121]. A cross-comparison analysis between different SB approaches is provided in [121].…”

Section: Multi-pass Insar Techniques For the Retrieval Of Surface Dismentioning

confidence: 99%

“…Different SB multi-pass DInSAR tools have been developed in the recent years for the reconstruction of ground deformation [119][120][121]. A cross-comparison analysis between different SB approaches is provided in [121]. To illustrate the capability of the SBAS methodology, we present the results of experiments conducted for three different applications (Figures 13-15).…”

Section: Multi-pass Insar Techniques For the Retrieval Of Surface Dismentioning

confidence: 99%

A Review of Interferometric Synthetic Aperture RADAR (InSAR) Multi-Track Approaches for the Retrieval of Earth’s Surface Displacements

2017

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Synthetic Aperture RADAR Interferometry (InSAR) provides a unique tool for the quantitative measurement of the Earth's surface deformations induced by a variety of natural (such as volcanic eruptions, landslides and earthquakes) and anthropogenic (e.g., ground-water extraction in highly-urbanized areas, deterioration of buildings and public facilities) processes. In this framework, use of InSAR technology makes it possible the long-term monitoring of surface deformations and the analysis of relevant geodynamic phenomena. This review paper provides readers with a general overview of the InSAR principles and the recent development of the advanced multi-track InSAR combination methodologies, which allow to discriminate the 3-D components of deformation processes and to follow their temporal evolution. The increasing availability of SAR data collected by complementary illumination angles and from different RADAR instruments, which operate in various bands of the microwave spectrum (X-, L-and C-band), makes the use of multi-track/multi-satellite InSAR techniques very promising for the characterization of deformation patterns. A few case studies will be presented, with a particular focus on the recently proposed multi-track InSAR method known as the Minimum Acceleration (MinA) combination approach. The presented results evidence the validity and the relevance of the investigated InSAR approaches for geospatial analyses.

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“…Previous investigations have shown that other DInSAR techniques are limited in their spatial coverage, typically restricted to urban and rocky environments (e.g., Li et al, 2014;Osmanoglu et al, 2015;Gong et al, 2016). Prior studies using the ISBAS method have demonstrated that the spatial extent of ISBAS velocities is improved and the patterns of land motion correlate to geology (Sowter et al, 2013;Bateson et al, 2015).…”

Section: Quantitative Comparison Of the Measured Linear Velocitiesmentioning

confidence: 99%

Monitoring land motion due to natural gas extraction: Validation of the Intermittent SBAS (ISBAS) DInSAR algorithm over gas fields of North Holland, the Netherlands

Gee

Sowter

Novellino

et al. 2016

Marine and Petroleum Geology

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Access from the University of Nottingham repository:http://eprints.nottingham.ac.uk/35962/1/AAM%20-%20Monitoring%20land%20motion%20_ %20Marine%20and%20Petroleum%20Geology.pdf Copyright and reuse:The Nottingham ePrints service makes this work by researchers of the University of Nottingham available open access under the following conditions. This article is made available under the Creative Commons Attribution Non-commercial No Derivatives licence and may be reused according to the conditions of the licence. For more details see: http://creativecommons.org/licenses/by-nc-nd/2.5/ A note on versions:The version presented here may differ from the published version or from the version of record. If you wish to cite this item you are advised to consult the publisher's version. Please see the repository url above for details on accessing the published version and note that access may require a subscription.For more information, please contact eprints@nottingham.ac.uk Accepted ManuscriptMonitoring land motion due to natural gas extraction: Validation of the intermittent SBAS (ISBAS) DInSAR algorithm over gas fields of North Holland, the Netherlands. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. M A N U S C R I P T A C C E P T E D ACCEPTED MANUSCRIPTMonitoring land motion due to natural gas extraction: validation of the Intermittent SBAS (ISBAS) DInSAR algorithm over gas fields of NorthHolland, the Netherlands. *Corresponding Author KeywordsDInSAR, Intermittent SBAS, Gas production, Subsidence. AbstractThe differential interferometric synthetic aperture radar (DInSAR) remote sensing technique has proven to be invaluable in the remote monitoring of earth surface movements associated with the extraction and geostorage (subsurface injection) of natural resources (water, oil, gas). However, a significant limitation of this technique is the low density and uneven coverage that may be achieved over vegetated rural environments. The Intermittent Small Baseline Subset (ISBAS) method, an amended M A N U S C R I P T A C C E P T E D ACCEPTED MANUSCRIPTversion of the established SBAS algorithm, has been designed to improve coverage over rural, vegetated, land cover classes by allowing for the intermittent coherence that is predominant in such areas. In this paper we perform a validation of the ISBAS method over an area of gas production and geostorage in North Holland, the Netherlands. Fortytwo ERS-2 (SAR) C-band images (1995)(1996)(1997)(1998)(1999)(2000) and 63 ENVISAT (ASAR) C-band images (2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010) were processed using the ISBAS technique and the derived measurements enabled the ...

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Comparison of Small Baseline Interferometric SAR Processors for Estimating Ground Deformation

Cited by 32 publications

References 58 publications

Seismic Surface Deformation Risks in Industrial Hubs: A Case Study from Ulsan, Korea, Using DInSAR Time Series Analysis

Seismic Surface Deformation Risks in Industrial Hubs: A Case Study from Ulsan, Korea, Using DInSAR Time Series Analysis

A Review of Interferometric Synthetic Aperture RADAR (InSAR) Multi-Track Approaches for the Retrieval of Earth’s Surface Displacements

Monitoring land motion due to natural gas extraction: Validation of the Intermittent SBAS (ISBAS) DInSAR algorithm over gas fields of North Holland, the Netherlands

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