DInSAR method applied to dual-pair interferograms with Sentinel-1 data: a study case on inconsistent unwrapping outputs

Téllez-Quiñones, Alejandro; Salazar-Garibay, A.; Valdiviezo-Navarro, Juan Carlos; Hernandez-Lopez, Francisco J.; Silván-Cárdenas, José Luis

doi:10.1080/01431161.2020.1727056

Cited by 4 publications

(3 citation statements)

References 42 publications

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“…69 Phase unwrapping is a critical step and difficult to execute, especially when the contribution of the atmospheric effects is complex. 17 The resulting filtered interferometric unwrapped phase estimated the changes of the scatterers relative position in the slant range. Deformation was deduced using D s ¼ ð− λ 4π ÞΔ∅ D s .…”

Section: Methodsmentioning

confidence: 99%

“…Unwrapping the phase to its original 2π scale was performed by statistical-cost network-flow algorithm 69 . Phase unwrapping is a critical step and difficult to execute, especially when the contribution of the atmospheric effects is complex 17 . The resulting filtered interferometric unwrapped phase estimated the changes of the scatterers relative position in the slant range.…”

Section: Methodsmentioning

confidence: 99%

“…Differential Interferometry (D-InSAR), which separates the static topography-related phase using a digital elevation model (DEM), reveals the interferometric phase components linked to displacement 3 , 13 – 19 The introduction of permanent scatterer (PS) candidates (PSCs) PS-InSAR, improved the technique’s ability to work in a point cloud domain 7 , 20 – 28 By separating the relative interferometric phase and its contributions from terrain, displacement, orbits, atmosphere, and noise, PS-InSAR 29 considerably enhances the InSAR measurements 30 , 31 .…”

Section: Introductionmentioning

confidence: 99%

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Investigating ground deformation due to a series of collapse earthquakes by means of the PS-InSAR technique and Sentinel 1 data in Kandy, Sri Lanka

Welikanna

Jin²

2023

J. Appl. Rem. Sens.

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Time series interferometry synthetic aperture radar (InSAR) techniques have rarely been applied to detect displacement due to low-magnitude (5.5 ≥ M) earthquakes. This study exploits the combined permanent scatterer (PS) interferometry (PS-InSAR) and differential interferometry (D-InSAR) methods to investigate the deformation rates due to low-magnitude partial series of collapse earthquakes. Kandy, the hill capital of Sri Lanka, was experiencing a series of collapsed earthquakes. Historical geological evidence of dynamic topography with prolonged vertical movement further promotes the initiatory InSAR investigation. A series of Sentinel 1A images from the years 2019 to 2021 were employed. Initial D-InSAR near-zero baseline analysis suggested possible displacement in the range of −10 mm∕year and þ2 mm∕year for subsidence and uplift, respectively. Using these prior motion velocities, the temporal coherence was optimized in PS-InSAR. Variogram models and ordinary Kriging (OK) were employed to predict deformation for the areas with limited PS detection. Descending orbits images PS show a dominant uplift of þ20 mm∕year, which are concentrated over Kandy urban areas. Movements along the ascending line of sight at Victoria Dam in the south are in the range of −40 mm∕year. Slopes along the Mahaweli river lineament to the east show subsidence in the range of −29 to 36 mm∕year. The coregistered landslide hazard map of Kandy shows deformation areas are exposed to landslide risk. Changes in terrestrial and ground water levels measured with the gravity recovery and climate experiment/GRACE-Follow-On during the period reveal significant irregularities. The study can be considered a prototype example that can be extended to investigate low-magnitude incomplete collapse earthquakes in different geological and geotechnical setups for ground deformation.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Investigating ground deformation due to a series of collapse earthquakes by means of the PS-InSAR technique and Sentinel 1 data in Kandy, Sri Lanka

Welikanna

Jin²

2023

J. Appl. Rem. Sens.

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Mapping of Earthquake-Induced Land Deformation on Urban Area Using Interferometric Synthetic Aperture Radar Data of Sentinel-1

Usman¹,

Syamsir²,

Melasari³

2021

Lecture Notes in Civil Engineering

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Phase-unwrapping method based on local polynomial models and a maximum a posteriori model correction

Téllez-Quiñones¹,

Valdiviezo-N.²,

Salazar-Garibay³

et al. 2021

Appl. Opt.

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Recently, a theory on local polynomial approximations for phase-unwrapping algorithms, considering a state space analysis, has been proposed in Appl. Opt. 56, 29 (2017)APOPAI0003-693510.1364/AO.56.000029. Although this work is a suitable methodology to deal with relatively low signal to noise ratios observed in the wrapped phase, the methodology has been developed only for local-polynomial phase models of order 1. The resultant proposal is an interesting Kalman filter approach for estimating the coefficient or state vectors of these local plane models. Thus, motivated by this approach and simple Bayesian theory, and considering our previous research on local polynomial models up to the third order [Appl. Opt. 58, 436 (2019)APOPAI0003-693510.1364/AO.58.000436], we propose an equivalent methodology based on a simple maximum a posteriori estimation, but considering a different state space: difference vectors of coefficients for the current high-order polynomial models. Specific estimations of the covariance matrices for difference vectors, as well as noise covariance matrices involved with the correct estimation of coefficient vectors, are proposed and reconstructions with synthetic and real data are provided.

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DInSAR method applied to dual-pair interferograms with Sentinel-1 data: a study case on inconsistent unwrapping outputs

Cited by 4 publications

References 42 publications

Investigating ground deformation due to a series of collapse earthquakes by means of the PS-InSAR technique and Sentinel 1 data in Kandy, Sri Lanka

Investigating ground deformation due to a series of collapse earthquakes by means of the PS-InSAR technique and Sentinel 1 data in Kandy, Sri Lanka

Mapping of Earthquake-Induced Land Deformation on Urban Area Using Interferometric Synthetic Aperture Radar Data of Sentinel-1

Phase-unwrapping method based on local polynomial models and a maximum a posteriori model correction

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