Accuracy and Resolution of ALOS Interferometry: Vector Deformation Maps of the Father's Day Intrusion at Kilauea

Sandwell, David T.; Myer, David; Mellors, R. J.; Shimada, Masanobu; Brooks, Benjamin A.; Foster, James H.

doi:10.1109/tgrs.2008.2000634

Cited by 146 publications

(93 citation statements)

References 18 publications

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“…The ALOS-2 satellite supports several image models, including the Spotlight mode with a width of 25 km, the Fine mode (Strip Map) with a swath width of 70 km, and ScanSAR (Wide Swath), with a width of 350 km. Compared with the C-band SAR, the PALSAR-2 preserves high coherence in interferometry over regions of rugged topography with high rainfall and dense vegetation, because of its longer wavelength [14,17]. The data were processed using the GAMMA InSAR processing software [18].…”

Section: Sentinel-1 Tops Alos-2 Interferograms and Gps Datamentioning

confidence: 99%

Source Parameters of the 2016–2017 Central Italy Earthquake Sequence from the Sentinel-1, ALOS-2 and GPS Data

Wen

et al. 2017

Remote Sensing

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Abstract:In this study, joint inversions of Synthetic Aperture Radar (SAR) and Global Position System (GPS) measurements are used to investigate the source parameters of four Mw > 5 events of the 2016-2017 Central Italy earthquake sequence. The results show that the four events are all associated with a normal fault striking northwest-southeast and dipping southwest. The observations, in all cases, are consistent with slip on a rupture plane, with strike in the range of 157 • to 164 • and dip in the range of 39 • to 44 • that penetrates the uppermost crust to a depth of 0 to 8 km.

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Section: Sentinel-1 Tops Alos-2 Interferograms and Gps Datamentioning

confidence: 99%

Source Parameters of the 2016–2017 Central Italy Earthquake Sequence from the Sentinel-1, ALOS-2 and GPS Data

Wen

et al. 2017

Remote Sensing

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“…First, radar interferograms acquired with the L-band Advanced Land Observatory Satellite (ALOS) [Shimada et al, 2010] have improved coherence relative to C-band radar. Second, recent processing advances allow interferograms to be made from radar images acquired in the scanning synthetic aperture radar (ScanSAR) mode [e.g., Bamler and Eineder, 1996;Ortiz and Zebker, 2007;Sandwell et al, 2008;Tong et al, 2010aTong et al, , 2010b. This is especially important because the descending passes made days after the Maule main shock were recorded in ScanSAR mode and recorded the deformation along the entire coastline in a single track.…”

Section: Minimum Stress Drop From the 27 February 2010 Maule Earthquakementioning

confidence: 99%

Estimates of stress drop and crustal tectonic stress from the 27 February 2010 Maule, Chile, earthquake: Implications for fault strength

et al. 2011

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[1] The great 27 February 2010 M w 8.8 earthquake off the coast of southern Chile ruptured a ∼600 km length of subduction zone. In this paper, we make two independent estimates of shear stress in the crust in the region of the Chile earthquake. First, we use a coseismic slip model constrained by geodetic observations from interferometric synthetic aperture radar (InSAR) and GPS to derive a spatially variable estimate of the change in static shear stress along the ruptured fault. Second, we use a static force balance model to constrain the crustal shear stress required to simultaneously support observed fore-arc topography and the stress orientation indicated by the earthquake focal mechanism. This includes the derivation of a semianalytic solution for the stress field exerted by surface and Moho topography loading the crust. We find that the deviatoric stress exerted by topography is minimized in the limit when the crust is considered an incompressible elastic solid, with a Poisson ratio of 0.5, and is independent of Young's modulus. This places a strict lower bound on the critical stress state maintained by the crust supporting plastically deformed accretionary wedge topography. We estimate the coseismic shear stress change from the Maule event ranged from −6 MPa (stress increase) to 17 MPa (stress drop), with a maximum depth-averaged crustal shear-stress drop of 4 MPa. We separately estimate that the plate-driving forces acting in the region, regardless of their exact mechanism, must contribute at least 27 MPa trench-perpendicular compression and 15 MPa trench-parallel compression. This corresponds to a depth-averaged shear stress of at least 7 MPa. The comparable magnitude of these two independent shear stress estimates is consistent with the interpretation that the section of the megathrust fault ruptured in the Maule earthquake is weak, with the seismic cycle relieving much of the total sustained shear stress in the crust.

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“…The maximum amplitude in the CNTL simulation was 3 cm smaller than that in the observation and that in the 4DVAR simulation was 1 cm smaller than that in the observation. The phase noise of ALOS interferometry is approximately 3.3 mm in the line-of-sight direction (Sandwell et al 2008). Therefore, these amplitude differences are significantly large and both CNTL and 4DVAR simulations underestimated propagation delay amounts relative to the observation.…”

Section: Numerical Weather Model Simulationsmentioning

confidence: 96%

Localized Delay Signals Detected by Synthetic Aperture Radar Interferometry and Their Simulation by WRF 4DVAR

Kinoshita

Furuya

2017

SOLA

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Localized propagation delay signals associated with linealigned convective cells were detected by the Synthetic Aperture Radar Interferometry (InSAR) technique on 25 August 2010 in Niigata prefecture. The maximum amplitude of the signal reached up to 22.5 cm, which was approximately equivalent to 29 mm anomaly in precipitable water vapor (PWV). The nationwide radar rainfall intensity captured the spatial distribution of hydrometeors on both land and sea, which was similar to that of the InSARderived water vapor field, suggesting that the convective cells were initiated on the Japan Sea to the west-southwest of the observation area. A numerical weather model (NWM) simulation with the grid spacing of 2.5 km reproduced line-aligned convective cells with 3 cm smaller maximum amplitude to that in InSAR. A NWM simulation that assimilates Global Navigation Satellite System (GNSS)-derived PWV data for four-dimensional variational assimilation enhanced the water vapor flux convergence at the surface, which improved the amplitude of the localized delay signals. The advantage of the unique water vapor observation by InSAR enabled us to assess the meso-gamma scale NWM reproducibility in terms of water vapor, which is one of the fundamental prognostic parameter for NWMs.(Citation: Kinoshita, Y., and M. Furuya, 2017: Localized delay signals detected by synthetic aperture radar interferometry and their simulation by WRF 4DVAR. SOLA, 13, 79−84,

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Accuracy and Resolution of ALOS Interferometry: Vector Deformation Maps of the Father's Day Intrusion at Kilauea

Abstract: Index Terms-Crustal deformation, phase noise, radar interferometry, synthetic aperture radar (SAR).

Cited by 146 publications

References 18 publications

Source Parameters of the 2016–2017 Central Italy Earthquake Sequence from the Sentinel-1, ALOS-2 and GPS Data

Source Parameters of the 2016–2017 Central Italy Earthquake Sequence from the Sentinel-1, ALOS-2 and GPS Data

Estimates of stress drop and crustal tectonic stress from the 27 February 2010 Maule, Chile, earthquake: Implications for fault strength

Localized Delay Signals Detected by Synthetic Aperture Radar Interferometry and Their Simulation by WRF 4DVAR

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