Integration of DInSAR Time Series and GNSS Data for Continuous Volcanic Deformation Monitoring and Eruption Early Warning Applications
Integration of DInSAR Time Series and GNSS Data for Continuous Volcanic Deformation Monitoring and Eruption Early Warning Applications
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DOI：
10.3390/rs14030784
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发表时间：
2022-02
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影响因子：
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通讯作者：
B. Corsa;M. Barba-Sevilla;K. Tiampo;C. Meertens
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作者：
B. Corsa;M. Barba-Sevilla;K. Tiampo;C. Meertens
由于全球约有8亿人生活在火山100公里范围内，我们必须建立一个可靠的观测系统，能够向可能受影响的附近人口提供早期预警。全球导航卫星系统和卫星合成孔径雷达记录了地球表面附近和地表的全面地面运动或断裂，可用于探测和分析自然灾害现象。这些数据集也可以被组合以提高变形结果的准确性。在这里，我们准备了差分干涉SAR（DInSAR）时间序列，并将其与GNSS数据相结合，以创建一个融合的数据集，从2015年11月到2021年4月，夏威夷岛的三维地面运动的精度提高。我们将原始数据集与融合的时间序列进行了比较，并详细介绍了导致2018年5月和2020年12月火山爆发的观测到的地面变形。我们的研究结果为2018年基拉韦厄火山爆发的时空动态提供了重要的新估计。这里介绍的方法可以很容易地重复在任何感兴趣的区域，其中SAR场景与GNSS数据重叠。研究结果将有助于开展各种地球物理研究，包括但不限于对导致重大火山爆发的异常运动进行分类，以及改进预警系统。
With approximately 800 million people globally living within 100 km of a volcano, it is essential that we build a reliable observation system capable of delivering early warnings to potentially impacted nearby populations. Global Navigation Satellite System (GNSS) and satellite Synthetic Aperture Radar (SAR) document comprehensive ground motions or ruptures near, and at, the Earth’s surface and may be used to detect and analyze natural hazard phenomena. These datasets may also be combined to improve the accuracy of deformation results. Here, we prepare a differential interferometric SAR (DInSAR) time series and integrate it with GNSS data to create a fused dataset with enhanced accuracy of 3D ground motions over Hawaii island from November 2015 to April 2021. We present a comparison of the raw datasets against the fused time series and give a detailed account of observed ground deformation leading to the May 2018 and December 2020 volcanic eruptions. Our results provide important new estimates of the spatial and temporal dynamics of the 2018 Kilauea volcanic eruption. The methodology presented here can be easily repeated over any region of interest where an SAR scene overlaps with GNSS data. The results will contribute to diverse geophysical studies, including but not limited to the classification of precursory movements leading to major eruptions and the advancement of early warning systems.