Radar Interferometry

Hanssen, Ramon F.

doi:10.1007/0-306-47633-9

Cited by 1,819 publications

(498 citation statements)

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“…These 23 JERS-1 SAR data were used to generate 67 interferograms from Track A and 18 SAR data were also used to created 63 interferograms using from Track B ( is the phase due to other noise sources (Berardino et al 2002). Of these, the atmospheric effect with altitude on the InSAR image is more diverse than that with flatland according to weather conditions due to the phase delay phenomenon using differences in mountain height (Zebker et al 1997;Hanssen 2001). For example, Fig.…”

Section: Methodsmentioning

confidence: 99%

Baekdusan Volcano Time-Series Analysis from 1992 to 1998 Using Multi-Interferogram InSAR Processing

Lee¹

2014

Terr. Atmos. Ocean. Sci.

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A multi-temporal SAR interferometry (InSAR) method was applied to a time-series analysis of the period from 1992 -1998 to detect precursor volcanic activity at Baekdusan volcano, located on the border between China and North Korea. Permanent scatterers were selected for stable signal processing to monitor ground motion using the permanent scatterer InSAR (PSIn-SAR) technique, which generated a time-series surface deformation map using the refined small baseline subset (SBAS) InSAR method. The time-series analysis results were verified using a multi-track comparison technique for two different tracks (88/230 and 89/230). The time-series analysis of the two tracks represents an unaltered phase signal (mm scale) with time, except for periods with insufficient interferograms to make a precise time-series surface deformation map due to factors including atmospheric phase delay and other error effects (i.e., those that display a maximum value of the phase difference from -2.14 to +2.64 cm). These phase signals also have the Root Mean Square Error (RMSE) range from 0.32 -2.56 cm. No surface deformation was detected from the Japanese Earth Resources Satellites (JERS-1) synthetic aperture radar (SAR) data collected between 1992 -1998 at the Baekdusan volcano, as monitored using volcanic surface movements with dynamic magma activity. No volcanic eruption precursor signals were demonstrated during the inactive period (1992 -1998) prior to the active period (2002 -2006) of this volcano.

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Section: Methodsmentioning

confidence: 99%

Baekdusan Volcano Time-Series Analysis from 1992 to 1998 Using Multi-Interferogram InSAR Processing

Lee¹

2014

Terr. Atmos. Ocean. Sci.

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“…Because the number of such short-time interferograms is less than the number of acquisition dates in the network, we complete the simulated APS data set by generating synthetic APS using an approach similar to Parsons et al [2006] and Biggs et al [2007]. In that approach, the statistical characteristics of the contribution of the turbulent atmosphere to a short-time interferogram are described using a 1-D covariance function [Hanssen, 2001], which is used along with a full variance-covariance matrix to simulate the correlated noise. To create 100 different perturbed velocity maps, simulated APS are randomly attributed to each date of the network.…”

Section: 1002/2015gl064440mentioning

confidence: 99%

Interseismic deformation of the Shahroud fault system (NE Iran) from space‐borne radar interferometry measurements

Mousavi

Pathier

Walker

et al. 2015

Geophysical Research Letters

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The Shahroud fault system is a major active structure in the Alborz range of NE Iran whose slip rate is not well constrained despite its potential high seismic hazard. In order to constrain the slip rate of the eastern Shahroud fault zone, we use space‐borne synthetic aperture radar interferometry with both ascending and descending Envisat data to determine the rate of interseismic strain accumulation across the system. We invert the slip rate from surface velocity measurements using a half‐space elastic dislocation model. The modeling results are consistent with a left‐lateral slip rate of 4.75 ± 0.8 mm/yr on the Abr and Jajarm, strands of the Shahroud fault, with a 10 ± 4 km locking depth. This is in good agreement with the 4–6 mm/yr of left‐lateral displacement rate accumulated across the total Shahroud fault system obtained from GPS measurements.

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“…It is interesting to consider the standard deviation associated with the D-InSAR observations: 0.6 and 0.9 cm for I4 and I1 respectively. These values include two contributions: the standard deviation of the atmospheric correction, estimated by collocation (0.53 cm for I4), and that of the original phase (0.3 cm for I4) computed as a function of the coherence [Hanssen, 2001], which around the subsidence centre is about 0.4. If multiple D-InSAR observations are available, the standard deviation provides a fundamental quality measure to drive the data fusion procedure (weighting of the observations).…”

Section: Application To a Small-scale Urban Subsidencementioning

confidence: 99%

Subsidence monitoring using SAR interferometry: Reduction of the atmospheric effects using stochastic filtering

Crosetto¹,

Tscherning

Crippa

et al. 2002

Geophysical Research Letters

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[1] The atmospheric effects represent one of the major limits of SAR interferometry as a quantitative technique to monitor subsidences. In this work, which focuses on subsidences of small spatial extent, a procedure to reduce these effects is described. The atmospheric component of the interferometric phase is estimated adopting a filtering and prediction procedure, which exploits the phase over stable areas identified in the vicinity of the analysed subsidence area. The procedure was validated on a suitable test site located in North-eastern Spain. Furthermore, it was employed in the study of a small-scale subsidence, where the interferometric results were validated using precise geodetic observations.

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Radar Interferometry

Cited by 1,819 publications

References 0 publications

Baekdusan Volcano Time-Series Analysis from 1992 to 1998 Using Multi-Interferogram InSAR Processing

Baekdusan Volcano Time-Series Analysis from 1992 to 1998 Using Multi-Interferogram InSAR Processing

Interseismic deformation of the Shahroud fault system (NE Iran) from space‐borne radar interferometry measurements

Subsidence monitoring using SAR interferometry: Reduction of the atmospheric effects using stochastic filtering

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