Multitemporal InSAR Coherence Change Analysis: Application to Volcanic Eruption Monitoring

Thu Trang Lê, J. Froger, Alexis Hrysiewicz, Ha-Thai Pham
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引用次数: 3

Abstract

Interferometric Synthetic Aperture Radar (InSAR) coherence time series provides potential information used for temporal change monitoring of regions of interest on the Earth surface. This paper addresses the change analysis of multitemporal InSAR coherence images for volcanic eruption monitoring using Change Detection Matrix (CDM) approach. The Piton de la Fournaise volcano (French island La Réunion) with four eruptions in 2018 was selected as a case study. From InSAR image time series (ITS) included 28 Sentinel-1 images acquired during 2018 over the study area, sorted by acquisition date, 27 coherence images were computed between each two adjacent dates. Changes on the ground related to volcanic eruptions were analyzed through the obtained coherence ITS using CDM framework. The preliminary results on lava extent mapping have demonstrated the relevancy of this study.
多时相InSAR相干性变化分析:在火山喷发监测中的应用
干涉合成孔径雷达(InSAR)相干时间序列为地球表面感兴趣区域的时间变化监测提供了潜在的信息。利用变化检测矩阵(change Detection Matrix, CDM)方法对火山喷发监测的InSAR多时段相干图像进行变化分析。2018年发生4次喷发的富尔奈斯火山(法国拉拉西乌姆岛)被选为研究案例。从InSAR图像时间序列(ITS)中包括2018年在研究区域获取的28幅Sentinel-1图像,按获取日期排序,在相邻的两个日期之间计算27幅相干图像。利用CDM框架,通过获得的相干ITS分析与火山喷发相关的地面变化。初步的熔岩范围测绘结果证明了本研究的相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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