基于InSAR位移时间序列的夏威夷莫纳罗亚火山和Kīlauea火山地表变形分析

F. Casu, G. Solaro, P. Tizzani, M. Poland, A. Miklius, Eugenio Sansosti, R. Lanari
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引用次数: 1

摘要

我们利用先进的差分合成孔径雷达干涉测量(InSAR)技术,即小基线子集(SBAS)算法,研究了夏威夷莫纳罗亚火山和基拉韦厄火山的变形。特别是,我们给出了2003年至2008年期间,从上升(轨道93)和下降(轨道429)轨道上的ENVISAT卫星上的ASAR仪器获得的SAR数据得出的视距(LOS)位移的时间序列。对于雷达图像的每个相干像素,我们计算随时间变化的表面位移以及平均LOS变形率。我们的结果量化了莫纳罗亚火山和基拉韦厄火山在空间和时间上的复杂变形。将衍生的InSAR测量值与连续的GPS数据进行比较,以评估SBAS-InSAR产品的质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Surface deformation analysis of the Mauna Loa and Kīlauea volcanoes, Hawai‘i, based on InSAR displacement time series
We investigate the deformation of Mauna Loa and Kilauea volcanoes, Hawai`i, by exploiting the advanced differential Synthetic Aperture Radar Interferometry (InSAR) technique referred to as the Small BAseline Subset (SBAS) algorithm. In particular, we present time series of line-of-sight (LOS) displacements derived from SAR data acquired by the ASAR instrument, on board the ENVISAT satellite, from the ascending (track 93) and descending (track 429) orbits between 2003 and 2008. For each coherent pixel of the radar images we compute time-dependent surface displacements as well as the average LOS deformation rate. Our results quantify, in space and time, the complex deformation of Mauna Loa and Kilauea volcanoes. The derived InSAR measurements are compared to continuous GPS data to asses the quality of the SBAS-InSAR products.
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