2010
DOI: 10.5047/eps.2009.05.002
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The M w 7.9, 12 May 2008 Sichuan earthquake rupture measured by sub-pixel correlation of ALOS PALSAR amplitude images

Abstract: PALSAR L-band spaceborne Synthetic Aperture Radar (SAR) amplitude images are used to map the Sichuan earthquake rupture (China, M w 7.9, 12 May 2008) and to identify the faults activated by the earthquake. A sub-pixel correlation method is used to retrieve the coseismic displacement field projected into the line of sight of the satellite and the horizontal along-track direction, and to map the surface rupture. The earthquake broke ∼270 km of the Beichuan fault and ∼70 km of the Guanxian fault, with a complex … Show more

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Cited by 26 publications
(23 citation statements)
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“…In addition to azimuth streaks, ionospheric delays caused by the variations of total electron content (TEC) introduce Faraday rotation (see the polarization paragraphs in Section 1 and references therein), relative range delay between interferometric data acquisition times, range and azimuth defocusing, loss of interferometric coherence, and phase errors. Azimuth streaks and range shifts cause misregistration in the subpixel correlation in both the azimuth and range directions in interferometry, and decorrelation as reported in the study on the 2008 Sichuan Earthquake [635]. Due to the dispersive nature, the effects of ionospheric delays can, in principle, be separated from non-dispersive features of surface deformation and atmosphere.…”
Section: Atmospheric and Ionospheric Effectsmentioning
confidence: 82%
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“…In addition to azimuth streaks, ionospheric delays caused by the variations of total electron content (TEC) introduce Faraday rotation (see the polarization paragraphs in Section 1 and references therein), relative range delay between interferometric data acquisition times, range and azimuth defocusing, loss of interferometric coherence, and phase errors. Azimuth streaks and range shifts cause misregistration in the subpixel correlation in both the azimuth and range directions in interferometry, and decorrelation as reported in the study on the 2008 Sichuan Earthquake [635]. Due to the dispersive nature, the effects of ionospheric delays can, in principle, be separated from non-dispersive features of surface deformation and atmosphere.…”
Section: Atmospheric and Ionospheric Effectsmentioning
confidence: 82%
“…The effects of ionospheric delays become significant at lower frequencies, since the variance of the refractive index fluctuations is approximately proportional to λ 4 , as observed in the RADARSAT C-band and JERS-1 L-band SAR amplitude images over the auroral zones in Alaska, showing kilometer-scale linear or banding patterns in the azimuth direction, termed as "azimuth streaks" [632]. The effects of ionospheric fluctuation have been observed near the magnetic poles [632,633], particularly during strong magnetic disturbances, but also in the areas away from the polar regions, such as the ALOS-PALSAR L-band data over Japan and Brazil [634], and the 2008 Sichuan Earthquake [635,636]. In addition to azimuth streaks, ionospheric delays caused by the variations of total electron content (TEC) introduce Faraday rotation (see the polarization paragraphs in Section 1 and references therein), relative range delay between interferometric data acquisition times, range and azimuth defocusing, loss of interferometric coherence, and phase errors.…”
Section: Atmospheric and Ionospheric Effectsmentioning
confidence: 99%
See 1 more Smart Citation
“…This leads to a number of recent earthquake studies in non-arid areas with ALOS PALSAR L-band images. The examples of applying ALOS PALSAR for coseismic deformation was the Mw=7.9, 12 May 2008 Wenchuan earthquake that struck the western Sichuan province (China) along the topographic escarpment between the Tibetan plateau and the Sichuan basin [10][11][12][13]. The results show strike-slip motion along 145 kilometers long Yingxiu-Beichuan fault and mainly thrust faulting along the sub-parallel, 105 kilometers long Beichuan-Qingchuan fault.…”
Section: Introductionmentioning
confidence: 96%
“…After an earthquake, the collapsed building information should be acquired in a timely manner and can be used to guide the effective implementation of the emergency rescue, which is crucial for the reduction in casualties (Susaki 2015). Although optical remote sensing images are intuitive and easy to understand, they are directly restricted by sunlight, and optical remote sensors cannot image the earth under cloudy, rainy, foggy, and other inclement weather (Gamba et al 2007;de Michele et al 2010). Radar is not affected by weather and climate and can obtain images in bad weather and even at night, because of its strong penetrative power (Yamaguchi 2012;Balz and Liao 2010), so it has become a reliable remote sensing data source for acquiring the damage information of earthquake-stricken areas (Dell' Acqua and Polli 2011).…”
Section: Introductionmentioning
confidence: 99%