Time series analysis of InSAR data: Methods and trends

Osmanoǧlu, Batuhan; Sunar, Filiz; Wdowinski, S.; Cabral‐Cano, E.

doi:10.1016/j.isprsjprs.2015.10.003

Cited by 333 publications

(190 citation statements)

References 75 publications

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“…On the whole, these techniques can typically produce very accurate temporal deformation profiles for urban or rocky, sparsely vegetated areas but fail to give sufficient monitoring targets in rural settings (Crosetto et al, 2010). A recent paper by Osmanoǧlu et al (2015) compared the PSI, SBAS, SqueeSAR TM (Ferretti et al, 2011) and StaMPS (Hooper et al, 2004;Hooper, 2008) techniques over the Mexico City area and also concluded that none of the methods were able to obtain deformation rates over agricultural farmlands and natural vegetation. A more recent attempt to extend a DInSAR analysis into rural classes is the Intermittent SBAS (ISBAS) (Sowter et al, 2013;Bateson et al, 2015) technique which appears particularly well-suited to low-resolution, wide-area deformation monitoring over a broad range of land classes, including grasslands, agricultural and forested cover (Cigna et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

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Mexico City land subsidence in 2014–2015 with Sentinel-1 IW TOPS: Results using the Intermittent SBAS (ISBAS) technique

Sowter

Amat

Cigna

et al. 2016

International Journal of Applied Earth Observation and Geoinfor

130

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Differential Interferometric Synthetic Aperture Radar (DInSAR) can be considered as an efficient and cost effective technique for monitoring land subsidence due to its large spatial coverage and high accuracy provided. The recent commissioning of the first Sentinel-1 satellite offers improved support to operational surveys using DInSAR due to regular observations from a wide-area product. In this paper we show the results of an intermittent small-baseline subset (ISBAS) time-series analysis of 18 Interferometric Wide swath (IW) products of a 39,000 km 2 area of Mexico acquired between 3 October 2014 and 7 May 2015 using the Terrain Observation with Progressive Scans in azimuth (TOPS) imaging mode. The ISBAS processing was based upon the analysis of 143 small-baseline differential interferograms. After the debursting, merging and deramping steps necessary to process Sentinel-1 IW products, the method followed a standard approach to the DInSAR analysis. The Sentinel-1 ISBAS results confirm the magnitude and extent of the deformation that was observed in Mexico City, Chalco, Ciudad Nezahualcóyotl and Iztapalapa by other C-band and L-band DInSAR studies during the 1990s and 2000s. Subsidence velocities from the Sentinel-1 analysis are, in places, in excess of -24 cm/year along the satellite line-ofsight, equivalent to over ~-40 cm/year vertical rates. This paper demonstrates the potential of Sentinel-1 IW TOPS imagery to support wide-area DInSAR surveys over what is a very large and diverse area in terms of land cover and topography.

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Section: Introductionmentioning

confidence: 99%

“…In a similar fashion to Osmanoǧlu et al (2015), we will assume a linear model for Mexico City deformation throughout this paper.…”

Section: Introductionmentioning

confidence: 99%

Mexico City land subsidence in 2014–2015 with Sentinel-1 IW TOPS: Results using the Intermittent SBAS (ISBAS) technique

Sowter

Amat

Cigna

et al. 2016

International Journal of Applied Earth Observation and Geoinfor

130

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“…This is because most DInSAR algorithms that span an extended period of time are limited to localities, typically rocky or urban terrain types, that unfailingly display high coherence or high phase stability for the entire period of image acquisitions. In the presence of vegetation, however, the majority of InSAR techniques either fail to work or provide very sparse coverage indeed (Crosetto et al, 2010;Osmanoğlu et al, 2015). Consequently, the spatial distribution of points is rarely sufficient to depict a large-scale feature that continues over dissimilar and dynamic land covers, such as may occur for an underground reservoir.…”

Section: A C C E P T E D Accepted Manuscriptmentioning

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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“…The characteristics of PS and DS targets are vastly different (e.g., scatterer size, relative geometry between scatterer and satellite, material composition of scatterers [12][13][14]). Thus, they behave differently in SAR image stacks and require different algorithms to reconstruct their deformation history [15]. The PS targets contain a stable dominant scatterer within a SAR resolution cell, resulting in consistent scattering properties [2].…”

Section: Introductionmentioning

confidence: 99%

“…The small baseline interferograms are also spectrally filtered to further reduce the decorrelation noise [18]. The philosophy of the PSI and SBI techniques have been well described and summarized in previous studies and reviews (e.g., [2,6,15,[17][18][19][20][21]). …”

Section: Introductionmentioning

confidence: 99%

Comparison of Small Baseline Interferometric SAR Processors for Estimating Ground Deformation

et al. 2016

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Abstract:The small Baseline Synthetic Aperture Radar (SAR) Interferometry (SBI) technique has been widely and successfully applied in various ground deformation monitoring applications. Over the last decade, a variety of SBI algorithms have been developed based on the same fundamental concepts. Recently developed SBI toolboxes provide an open environment for researchers to apply different SBI methods for various purposes. However, there has been no thorough discussion that compares the particular characteristics of different SBI methods and their corresponding performance in ground deformation reconstruction. Thus, two SBI toolboxes that implement a total of four SBI algorithms were selected for comparison. This study discusses and summarizes the main differences, pros and cons of these four SBI implementations, which could help users to choose a suitable SBI method for their specific application. The study focuses on exploring the suitability of each SBI module under various data set conditions, including small/large number of interferograms, the presence or absence of larger time gaps, urban/vegetation ground coverage, and temporally regular/irregular ground displacement with multiple spatial scales. Within this paper we discuss the corresponding theoretical background of each SBI method. We present a performance analysis of these SBI modules based on two real data sets characterized by different environmental and surface deformation conditions. The study shows that all four SBI processors are capable of generating similar ground deformation results when the data set has sufficient temporal sampling and a stable ground backscatter mechanism like urban area. Strengths and limitations of different SBI processors were analyzed based on data set configuration and environmental conditions and are summarized in this paper to guide future users of SBI techniques.

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Time series analysis of InSAR data: Methods and trends

Cited by 333 publications

References 75 publications

Mexico City land subsidence in 2014–2015 with Sentinel-1 IW TOPS: Results using the Intermittent SBAS (ISBAS) technique

Mexico City land subsidence in 2014–2015 with Sentinel-1 IW TOPS: Results using the Intermittent SBAS (ISBAS) technique

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

Comparison of Small Baseline Interferometric SAR Processors for Estimating Ground Deformation

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