DinSAR coseismic deformation measurements of the Mw 8.3 Illapel earthquake (Chile)

IF 0.9 Q4 REMOTE SENSING Journal of Geodetic Science Pub Date : 2023-01-01 DOI:10.1515/jogs-2022-0154
Agustín Calvet, S. Balbarani, M. Gende
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Abstract

Abstract The beginning of radars goes back to the 1930s where its main boost was related to the second world war. Nowadays, the techniques associated with radars are focused around a vast variety of civil, geodetic, and military applications. The development of the synthetic aperture principle, in the 1950s and 1960s, gave birth to a lot of new applications, and together with the technological progress of the last decades, the technique of interferometry with synthetic aperture radar (SAR) data became one of the most powerful ones for sensing remotely, with high quality and a vast spatial coverage. We used Sentinel-1 data and the differential interferometry SAR (DinSAR) technique to map and measure the surface deformation related to the 2015 Mw 8.3 Illapel earthquake (Chile). We also validated the results, by analysing the temporal variation of coordinates acquired from global navigation satellite system observations and projecting them in the geometry of the SAR system. Using this application we prove the DinSAR technique to be useful and powerful for the observation and analysis of surface deformation caused by the release of stress during the Mw 8.3 Illapel earthquake. It proved to be an efficient tool to detect and map the surface deformation with high spatial resolution in an approximate area of 20,000 km2.
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智利8.3 Mw Illapel地震的DinSAR同震形变测量
雷达的起源可以追溯到20世纪30年代,当时它的主要推动力与第二次世界大战有关。如今,与雷达相关的技术集中在各种各样的民用、大地测量和军事应用上。合成孔径原理在20世纪五六十年代的发展催生了许多新的应用,随着近几十年的技术进步,合成孔径雷达(SAR)数据干涉测量技术以其高质量和大空间覆盖范围成为遥感最强大的技术之一。我们使用Sentinel-1数据和差分干涉SAR (DinSAR)技术绘制和测量了与2015年智利8.3 Mw Illapel地震相关的地表变形。我们还通过分析从全球导航卫星系统观测中获得的坐标的时间变化并将其投影到SAR系统的几何结构中,验证了结果。通过这个应用,我们证明了DinSAR技术对于观察和分析8.3级Illapel地震中应力释放引起的地表变形是有用和强大的。事实证明,它是一种有效的工具,可以在大约20,000平方公里的区域内以高空间分辨率检测和绘制地表变形。
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来源期刊
Journal of Geodetic Science
Journal of Geodetic Science REMOTE SENSING-
CiteScore
1.90
自引率
7.70%
发文量
3
审稿时长
14 weeks
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