Velocity field retrieval from long term coherent points in radar interferometric stacks

Kampes, Bert; Adam, Nico

doi:10.1109/igarss.2003.1293971

Cited by 25 publications

(26 citation statements)

References 3 publications

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“…Then, one image is selected as the unique master image, while the other images are used as the slave images. To guarantee the resulting quality of the interferograms, we select the optimal master image by maximizing the Joint Correlation Index (JCI) [43] of all the images, based on:…”

Section: Selection Of the Master Image And Co-registrationmentioning

confidence: 99%

Spatiotemporal Evolution of Land Subsidence in the Beijing Plain 2003–2015 Using Persistent Scatterer Interferometry (PSI) with Multi-Source SAR Data

et al. 2018

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Land subsidence is one of the most important geological hazards in Beijing, China, and its scope and magnitude have been growing rapidly over the past few decades, mainly due to long-term groundwater withdrawal. Interferometric Synthetic Aperture Radar (InSAR) has been used to monitor the deformation in Beijing, but there is a lack of analysis of the long-term spatiotemporal evolution of land subsidence. This study focused on detecting and characterizing spatiotemporal changes in subsidence in the Beijing Plain by using Persistent Scatterer Interferometry (PSI) and geographic spatial analysis. Land subsidence during 2003-2015 was monitored by using ENVISAT ASAR (2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010), RADARSAT-2 (2011RADARSAT-2 ( -2015 and TerraSAR-X (2010TerraSAR-X ( -2015 images, with results that are consistent with independent leveling measurements. The radar-based deformation velocity ranged from −136.9 to +15.2 mm/year during 2003-2010, and −149.4 to +8.9 mm/year during 2011-2015 relative to the reference point. The main subsidence areas include Chaoyang, Tongzhou, Shunyi and Changping districts, where seven subsidence bowls were observed between 2015. Equal Fan Analysis Method (EFAM) shows that the maximum extensive direction was eastward, with a growing speed of 11.30 km 2 /year. Areas of differential subsidence were mostly located at the boundaries of the seven subsidence bowls, as indicated by the subsidence rate slope. Notably, the area of greatest subsidence was generally consistent with the patterns of groundwater decline in the Beijing Plain.

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Section: Selection Of the Master Image And Co-registrationmentioning

confidence: 99%

Spatiotemporal Evolution of Land Subsidence in the Beijing Plain 2003–2015 Using Persistent Scatterer Interferometry (PSI) with Multi-Source SAR Data

et al. 2018

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“…The ambiguity transformation allows one to transform the original ambiguities, their least squares estimates and their corresponding variance-covariance matrix as (14) The computation of the integer minimizers is performed in the second step of the LAMBDA method. It follows from solving (15) Since matrix consists of integers only and is volume preserving, the obtained solution also minimizes [11]. That is, the ambiguities we are interested in can be obtained by solving (15).…”

Section: Lambda Methods For Gpsmentioning

confidence: 99%

“…It follows from solving (15) Since matrix consists of integers only and is volume preserving, the obtained solution also minimizes [11]. That is, the ambiguities we are interested in can be obtained by solving (15). The solution is obtained by means of a search using a set of bounds for the transformed ambiguities [12].…”

Section: Lambda Methods For Gpsmentioning

confidence: 99%

“…The solution is obtained by means of a search using a set of bounds for the transformed ambiguities [12]. If the ambiguities would be totally decorrelated, the integer ambiguities would be given by means of a simple rounding of the float ambiguities, since that would minimize (15). This simple rounding scheme, however, does not produce the required integer least squares estimates when matrix is nondiagonal.…”

Section: Lambda Methods For Gpsmentioning

confidence: 99%

“…And a common computation strategy is to form a large number of pairs between nearby points, for which a relative estimation has to be performed [15]. For an area of 20 20 km, the number of points thus may be about 100 000, and the number of required estimations may be 500 000.…”

Section: A Computational Aspectsmentioning

confidence: 99%

See 2 more Smart Citations

Ambiguity resolution for permanent scatterer interferometry

Kampes

Hanssen

2004

IEEE Trans. Geosci. Remote Sensing

Self Cite

182

101

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Abstract-In the permanent scatterer technique of synthetic aperture radar interferometry, there is a need for an efficient and reliable nonlinear parameter inversion algorithm that includes estimation of the phase cycle ambiguities. Present techniques make use of a direct search of the solution space, treating the observations as deterministic and equally weighted, and which do not yield an exact solution. Moreover, they do not describe the quality of the estimated parameters. Here, we use the integer least squares estimator, which has the highest probability of correct integer estimation for problems with a multivariate normal distribution. With this estimator, the propagated variance-covariance matrix of the estimated parameters can be obtained. We have adapted the LAMBDA method, part of an integer least squares estimator developed for the ambiguity resolution of carrier phase observations in global positioning systems, to the problem of permanent scatterers. Key elements of the proposed method are the introduction of pseudo-observations to regularize the system of equations, decorrelation of the ambiguities for an efficient estimation, and the combination of a bootstrap estimator with an integer least squares search to obtain the final integer estimates. The performance of the proposed algorithm is demonstrated using simulated and real data.Index Terms-Nonlinear parameter inversion, permanent scatterers, synthetic aperture radar (SAR) interferometry.

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Extent and distribution of aseismic slip on the Ismetpaşa segment of the North Anatolian Fault (Turkey) from Persistent Scatterer InSAR

Çetin

Çakır

Meghraoui

et al. 2014

Geochem Geophys Geosyst

126

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We use the Persistent Scatterer InSAR (PSI) technique with elastic dislocation models and geology along the creeping section of the North Anatolian Fault (NAF) at Ismetpas¸a, to map and deduce the velocity field and the aseismic slip distribution. Revealing the spatiotemporal nature of the creep helped us associate the creep with potential lithological controls, hence providing a new perspective to better understand the underlying causes and mechanisms. The PSI analysis of Envisat ASAR images between 2003 and 2010 reveals a clear picture of surface creep along the fault and a new interseismic velocity field transitioning gradually between the creeping and the locked fault sections. The creep rate is found to fluctuate along a 100 km long section of the fault in a manner similar to that along the Hayward fault, reaching a maximum of 20 6 2 mm/yr, close to the far field plate velocity (25 6 1.5 mm/yr). At Ismetpas¸a, it is in the range of 8 6 2 mm/yr, consistent with the previous geodetic observations. The creeping section appears to extend 30 km further east than those previously reported. Modeling of the PSI data reveals a heterogeneous creep distribution at depth with two main patches confined mostly to the uppermost 5 km portion of the seismogenic crust, releasing annually 6.2 3 10 16 Nm (Mw 5 5.1) geodetic moment. Our analysis combined with previous studies suggests that creep might have commenced as postseismic deformation following the 1944 earthquake and has evolved to stable fault creep with time. There is a correlation between aseismic surface creep and the geology along the fault as it is in major part associated to rocks with low frictional strength such as the andesitic-basaltic, limestone, and serpentine bodies within the fault zone.

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Velocity field retrieval from long term coherent points in radar interferometric stacks

Cited by 25 publications

References 3 publications

Spatiotemporal Evolution of Land Subsidence in the Beijing Plain 2003–2015 Using Persistent Scatterer Interferometry (PSI) with Multi-Source SAR Data

Spatiotemporal Evolution of Land Subsidence in the Beijing Plain 2003–2015 Using Persistent Scatterer Interferometry (PSI) with Multi-Source SAR Data

Ambiguity resolution for permanent scatterer interferometry

Extent and distribution of aseismic slip on the Ismetpaşa segment of the North Anatolian Fault (Turkey) from Persistent Scatterer InSAR

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