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A low-cost method applicable worldwide for remotely mapping lava dome growth

机译:一种低成本的方法,可在全球范围内远程映射熔岩穹顶的生长

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Lava dome growth and collapse represents both a significant hazard, as it can trigger pyroclastic density currents, and a monitoring challenge, limiting monitoring to a few known active volcanoes. Here, I propose a new differencing technique based on Synthetic Aperture Radar (SAR) amplitude images to quantify the extent of lava dome growth. This differencing technique, which is both low cost and can be utilized worldwide, is applied to SAR amplitude images at Mount St. Helens and validated using 2004-2008 aerial photography observations. Difference of amplitude images accurately characterize the dome growth location. The low ground resolution of the 2004-2008 SAR data leads to underestimation by 10 to 15% of the dome extent, but the accuracy of this method will increase with the improved resolution of current and future SAR missions. Amplitude images are a low-level SAR product available from all SAR satellites, mostly freely, making the proposed method ideal for systematic, low-cost monitoring of lava dome growth worldwide with minimum processing required. (C) 2017 Elsevier B.V. All rights reserved.
机译:熔岩穹顶的生长和坍塌既代表着重大的危害,因为它可以触发火山碎屑密度流,也代表着监测的挑战,将监测范围限制在一些已知的活火山中。在这里,我提出了一种基于合成孔径雷达(SAR)振幅图像的新差分技术,以量化熔岩穹顶生长的程度。这种区分技术成本低廉,可以在全世界范围内使用,已应用于圣海伦斯山的SAR振幅图像,并已通过2004-2008年的航空摄影观测进行了验证。振幅图像的差异准确地描述了球顶的生长位置。 2004-2008年SAR数据的低地面分辨率导致低估了穹顶范围的10%至15%,但是随着当前和未来SAR任务分辨率的提高,此方法的准确性将会提高。幅值图像是可从所有SAR卫星上获得的低水平SAR产品,大部分都是免费获得的,这使得该方法非常适用于以最少的处理量对全世界的熔岩穹顶生长进行系统的低成本监测。 (C)2017 Elsevier B.V.保留所有权利。

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