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A study on measuring surface deformation of the L'Aquila region using the StaMPS technique

机译:利用StaMPS技术测量拉奎拉地区表面变形的研究

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摘要

This research compares two time-series interferometric synthetic aperture radar (InSAR) methods, namely persistent scatterer SAR interferometry (PS-InSAR) and small baseline subset (SBAS) to retrieve the deformation signal from pixels with different scattering characteristics. These approaches are used to estimate the surface deformation in the L'Aquila region in Central Italy where an earthquake of magnitude Mw 6.3 occurred on 6 April 2009. Fourteen Environmental Satellite (ENVISAT) C-band Advanced Synthetic Aperture Radar (ASAR) images, covering the pre-seismic, co-seismic, and post-seismic period, are used for the study. Both the approaches effectively extract measurement pixels and show a similar deformation pattern in which the north-west and southeast regions with respect to the earthquake epicentre show movement in opposite directions. The analysis has revealed that the PSInSAR method extracted more number of measurement points (21,103 pixels) as compared to the SBAS method (4886 pixels). A comparison of velocity estimates shows that out of 833 common pixels in both the methods, about 62% (517 pixels) have the mean velocity difference below 3 mm year(-1) and nearly 66% pixels have difference below 5 mm year(-1). It is concluded that StaMPS-based PS-InSAR method performs better in terms of extracting more number of measurement pixels and in the estimation of mean line of sight (LOS) velocity as compared to SBAS method.
机译:该研究比较了两种时间序列干涉合成孔径雷达(InSAR)方法,即持久散射SAR干涉测量(PS-InSAR)和小基线子集(SBAS),以从具有不同散射特性的像素中检索变形信号。这些方法用于估计意大利中部拉奎拉地区的表面变形,该地区于2009年4月6日发生6.3级Mw地震。14个环境卫星(ENVISAT)C波段高级合成孔径雷达(ASAR)图像,覆盖该研究使用了地震前,共震和后地震时期。两种方法都有效地提取了测量像素并显示了相似的变形模式,其中西北和东南部地区相对于地震震中表现出相反的运动。分析显示,与SBAS方法(4886像素)相比,PSInSAR方法提取了更多数量的测量点(21,103像素)。速度估算值的比较显示,在这两种方法中的833个常用像素中,约62%(517个像素)的平均速度差低于3 mm year(-1),近66%像素的平均速度差低于5mm year(- 1)。结论是,与SBAS方法相比,基于StaMPS的PS-InSAR方法在提取更多数量的测量像素以及估计平均视线(LOS)速度方面表现更好。

著录项

  • 来源
    《International journal of remote sensing 》 |2016年第4期| 819-830| 共12页
  • 作者单位

    Indian Inst Technol, Dept Civil Engn, Kanpur 208016, Uttar Pradesh, India;

    Motilal Nehru Natl Inst Technol Allahabad, Geog Informat Syst GIS Cell, Allahabad 211004, Uttar Pradesh, India;

    Indian Inst Technol, Dept Civil Engn, Kanpur 208016, Uttar Pradesh, India;

    Motilal Nehru Natl Inst Technol Allahabad, Geog Informat Syst GIS Cell, Allahabad 211004, Uttar Pradesh, India;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
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