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High-quality three-dimensional displacement fields from new-generation SAR imagery: application to the 2017 Ezgeleh, Iran, earthquake

机译:新一代SAR影像的高质量三维位移场:在2017年伊朗埃兹盖勒地震中的应用

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摘要

Mapping the three-dimensional (3D) displacement fields associated with a variety of geological phenomena has been widely performed by exploiting synthetic aperture radar (SAR) imagery, as the result is important for providing insight into the formation mechanisms and potential risks of geological hazards. New-generation SAR sensors, namely ALOS-2 and Sentinel-1, can capture surface deformation with a high coherence in wide-swath mode, thereby providing outstanding across-track displacement accuracies; however, this improvement partially sacrifices the azimuth resolution, which affects the retrieval of 3D surface deformation fields. To explore the feasibility of generating 3D deformation maps with new SAR imagery, we collect two pairs of ALOS-2 ScanSAR and four pairs of Sentinel-1 Terrain Observation by Progressive Scans (TOPS) images for the 12 November 2017 Ezgeleh earthquake. Furthermore, the differential interferometric SAR (DInSAR), pixel offset tracking (POT), multiple-aperture InSAR (MAI), and burst-overlap interferometry (BOI) methods are used to measure the across- and along-track displacements. Compared with the POT and MAI methods, the integration of DInSAR and BOI measurements provides high-quality 3D deformation maps with an accuracy of 4cm, which is four times and two times better than the accuracies of the POT and MAI methods integrated with DInSAR, respectively. In addition, a significant north-south displacement of 0.76m is found in our 3D deformation results that was underestimated in the slip distribution model constrained with seismic waveforms or InSAR measurements. Our 3D deformation map of the 2017 Ezgeleh earthquake indicates a southwestward horizontal motion and an upward motion without any corresponding surface rupture that effectively match the behavior of a blind rupture along a northeast-dipping reverse fault. We conclude that combining BOI with DInSAR would provide a better 3D deformation field and should be applied to study future earthquakes.
机译:通过利用合成孔径雷达(SAR)图像,已经广泛地绘制了与各种地质现象相关的三维(3D)位移场的图,其结果对于提供洞察地质灾害的形成机理和潜在风险的重要意义。新一代SAR传感器,即ALOS-2和Sentinel-1,可以在宽扫描模式下以高相干性捕获表面变形,从而提供出色的跨轨位移精度;但是,此改进会部分牺牲方位角分辨率,从而影响3D表面变形场的检索。为了探索用新的SAR图像生成3D变形图的可行性,我们收集了两对ALOS-2 ScanSAR和四对Sentinel-1地形进行逐行扫描(TOPS)图像,以了解2017年11月12日的Ezgeleh地震。此外,差分干涉法SAR(DInSAR),像素偏移跟踪(POT),多孔径InSAR(MAI)和脉冲重叠干涉法(BOI)方法用于测量跨轨位移和沿轨位移。与POT和MAI方法相比,DInSAR和BOI测量的集成提供了高质量的3D变形图,精度为4cm,分别是与DInSAR集成的POT和MAI方法的精度分别高出四倍和两倍。 。此外,在我们的3D变形结果中发现了明显的南北位移0.76m,而在受地震波形或InSAR测量约束的滑动分布模型中,该位移被低估了。我们针对2017年埃兹格勒地震的3D变形图显示了向西南的水平运动和向上的运动,而没有任何对应的表面破裂,这些破裂与沿东北倾倒断层的盲破裂的行为有效匹配。我们得出的结论是,将BOI与DInSAR结合使用将提供更好的3D变形场,应将其应用于研究未来地震。

著录项

  • 来源
    《Journal of Geodesy》 |2019年第4期|573-591|共19页
  • 作者单位

    China Univ Geosci, Inst Geophys & Geomat, Hubei Subsurface Multiscale Imaging Key Lab, Wuhan 430074, Hubei, Peoples R China;

    Wuhan Univ, Sch Geodesy & Geomat, Wuhan 430079, Hubei, Peoples R China|Wuhan Univ, Collaborat Innovat Ctr Geospatial Technol, Wuhan 430079, Hubei, Peoples R China;

    Wuhan Univ, Sch Geodesy & Geomat, Wuhan 430079, Hubei, Peoples R China|Wuhan Univ, Collaborat Innovat Ctr Geospatial Technol, Wuhan 430079, Hubei, Peoples R China;

    China Univ Geosci, Inst Geophys & Geomat, Hubei Subsurface Multiscale Imaging Key Lab, Wuhan 430074, Hubei, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Three-dimensional displacement; Ezgeleh earthquake; Offset tracking; MAI; Burst-overlap interferometry;

    机译:三维位移;埃兹格勒地震;偏移量跟踪;MAI;爆发重叠干涉法;

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