Mitigating Ionospheric Artifacts in Coseismic Interferogram Based on Offset Field Derived From ALOS-PALSAR Data

Zhang, Bochen; Ding, Xiaoli; Zhu, Wu; Wang, Chisheng; Zhang, Lei; Liu, Zhizhao

doi:10.1109/jstars.2016.2533441

Cited by 16 publications

(19 citation statements)

References 33 publications

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“…This technique is capable of detecting small changes at an unprecedented level of spatial details (centimeter to millimeter) in land surface elevation at low cast under ideal conditions [14][15][16]. So far, the problem incorporated in InSAR approach due to change in scatterer with time is mainly due to atmospheric and ionospheric disturbances, which lead to the introduction of decorrelation in the signal [17,18]. This is a common problem associated with the repeat-pass InSAR technique as a result of discrepancies that arise between two related SAR signals over the same location at different epochs [19].…”

Section: Introductionmentioning

confidence: 99%

Ground Deformation and Its Causes in Abbottabad City, Pakistan from Sentinel-1A Data and MT-InSAR

Shahzad

Ding

et al. 2020

Remote Sensing

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Land subsidence, as one of the engineering geological problems in the world, is generally caused by compression of unconsolidated strata due to natural or anthropogenic activities. We employed interferometric point target analysis (IPTA) as a multi-temporal interferometric synthetic aperture radar (MT-InSAR) technique on ascending and descending Sentinel-1A the terrain observation with progressive scans SAR (TOPSAR) images acquired between January 2015 and December 2018 to analyze the spatio-temporal distribution and cause of subsidence in Abbottabad City of Pakistan. The line of sight (LOS) average deformation velocities along ascending and descending orbits were decomposed into vertical velocity fields and compared with geological data, ground water pumping schemes, and precipitation data. The decomposed and averaged vertical velocity results showed significant subsidence in most of the urban areas in the city. The most severe subsidence was observed close to old Karakorum highway, where the subsidence rate varied up to −6.5 cm/year. The subsidence bowl profiles along W–E and S–N transects showed a relationship with the locations of some water pumping stations. The monitored LOS time series histories along an ascending orbit showed a close correlation with the rainfall during the investigation period. Comparative analysis of this uneven prominent subsidence with geological and precipitation data reflected that the subsidence in the Abbottabad city was mainly related to anthropogenic activities, overexploitation of water, and consolidation of soil layer. The study represents the first ever evidence of land subsidence and its causes in the region that will support the local government as well as decision and policy makers for better planning to overcome problems of overflowing drains, sewage system, littered roads/streets, and sinking land in the city.

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Section: Introductionmentioning

confidence: 99%

Ground Deformation and Its Causes in Abbottabad City, Pakistan from Sentinel-1A Data and MT-InSAR

Shahzad

Ding

et al. 2020

Remote Sensing

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“…The forward-and backward-looking interferograms are then multiplied by conjugate to obtain the final MAI interferogram. The relationship between SAR azimuth offset and MAI phase ( MAI  ) is [21], [22]:…”

Section: A Estimating Ionospheric Phase Using Sar Azimuth Offsetsmentioning

confidence: 99%

“…where C is the integral constant that varies with the range position, whose estimation methods are presented in [21] and [22]. The parameters  and  can be determined by a polynomial fitting using the pixels with high coherences and no large surface deformation.…”

Section: A Estimating Ionospheric Phase Using Sar Azimuth Offsetsmentioning

confidence: 99%

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An InSAR Ionospheric Correction Method Based on Variance Component Estimation With Integration of MAI and RSS Measurements

Mao

Liu

Wang

et al. 2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Ionospheric phase delay can seriously affect the low-frequency spaceborne Synthetic Aperture Radar (SAR) systems. Ionospheric correction is, therefore, vital to improving the measurement accuracy of Interferometric SAR (InSAR). InSAR ionospheric correction relies mainly on two kinds of approaches, i.e., one uses SAR azimuth offsets measures, and the other achieves through a Range Split-Spectrum (RSS) technique. However, the two approaches have different spatial sensitivities to the ionosphere, but they can complement each other. In this study, we present an integration InSAR ionospheric correction method. This method uses the Helmert Variance Component Estimation (H-VCE) to reasonably allocate the weights for the ionospheric measurements obtained from the azimuth offset-based and RSS techniques to improve the ionospheric correction performance. The azimuth offset can be derived from a pixel offset-tracking procedure or multiple-aperture InSAR (MAI). We demonstrated the proposed method on 28 MHz FBS mode ALOS-1 PALSAR images acquired before and after the Wenchuan earthquake in Sichuan Province, China, 2008. This study also applied the proposed method to 14 MHz FBD mode ALOS-1 PALSAR images with no significant surface deformation and high coherence in Chile. After the ionospheric correction with the proposed method, we found that the ionospheric errors in the Wenchuan and Chile cases have varied from -31.0 to 21.1 cm and -4.7 to 93.9 cm, respectively. The results show that the proposed method can effectively remove the long-wavelength ionospheric delay. Our study reveals that this method can also alleviate the influence of local ionospheric disturbance simultaneously.

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“…This method exploited the differences in sign between range group and phase delays caused by the ionosphere. A recent method aimed to use the approximate linear relationship between the azimuth gradient of ionospheric phase delay and azimuth pixel shift to correct the ionospheric effect on InSAR [14,15,[32][33][34][35][36]. Several researchers tested the feasibility of this method.…”

Section: Introductionmentioning

confidence: 99%

Synthetic Aperture Radar Interferometry (InSAR) Ionospheric Correction Based on Faraday Rotation: Two Case Studies

2019

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Spaceborne synthetic aperture radar (SAR) imagery is affected by the ionosphere, resulting in distortions of the SAR intensity, phase, and polarization. Although several methods have been proposed to mitigate the ionospheric phase delay of SAR interferometry, the application of them with full-polarimetric SAR interferometry is limited. Based on this background, Faraday rotation (FR)-based methods are used in this study to mitigate the ionospheric phase errors on full-polarimetric SAR interferometry. For a performance test of the selected method, L-band Advanced Land Observation Satellite (ALOS) Phase Array L-band SAR (PALSAR) full-polarimetric SAR images over high-latitude and low-latitude regions are processed. The result shows that most long-wavelength ionospheric phase errors are removed from the original phase after using the FR-based method, where standard deviations of the corrected result have decreased by almost a factor of eight times for the high-latitude region and 28 times for low-latitude region, compared to those of the original phase, demonstrating the efficiency of the method. This result proves that the FR-based method not only can mitigate the ionospheric effect on SAR interferometry, but also can map the high-spatial-resolution vertical total electronic content (VTEC) distribution.

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Mitigating Ionospheric Artifacts in Coseismic Interferogram Based on Offset Field Derived From ALOS-PALSAR Data

Cited by 16 publications

References 33 publications

Ground Deformation and Its Causes in Abbottabad City, Pakistan from Sentinel-1A Data and MT-InSAR

Ground Deformation and Its Causes in Abbottabad City, Pakistan from Sentinel-1A Data and MT-InSAR

An InSAR Ionospheric Correction Method Based on Variance Component Estimation With Integration of MAI and RSS Measurements

Synthetic Aperture Radar Interferometry (InSAR) Ionospheric Correction Based on Faraday Rotation: Two Case Studies

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