Hrysiewicz Alexis, Wang Xiaowen, Holohan Eoghan P
Dublin, Ireland UCD School of Earth Sciences, University College Dublin.
Dublin, Ireland SFI Research Centre in Applied Geosciences (iCRAG), University College Dublin.
Earth Sci Inform. 2023;16(2):1929-1945. doi: 10.1007/s12145-023-00973-1. Epub 2023 Mar 27.
Satellite Interferometric Synthetic Aperture Radar (InSAR) is a space-borne geodetic technique that can map ground displacement at millimetre accuracy. Via the new era for InSAR applications provided by the Copernicus Sentinel-1 SAR satellites, several open-source software packages exist for processing SAR data. These packages enable one to obtain high-quality ground deformation maps, but still require a deep understanding of InSAR theory and the related computational tools, especially when dealing with a large stack of images. Here we present an open-source toolbox, EZ-InSAR (, for a user-friendly implementation of InSAR displacement time series analysis with multi-temporal SAR images. EZ-InSAR integrates the three most popular and renowned open-source tools (i.e., ISCE, StaMPS, and MintPy), to generate interferograms and displacement time series by using these state-of-art algorithms within a seamless Graphical User Interface. EZ-InSAR reduces the user's workload by automatically downloading the Sentinel-1 SAR imagery and the digital elevation model data for the user's area of interest, and by streamlining preparation of input data stacks for the time series InSAR analysis. We illustrate the EZ-InSAR processing capabilities by mapping recent ground deformation at Campi Flegrei (> 100 mm·yr) and Long Valley (~ 10 mm·yr) calderas with both Persistent Scatterer InSAR and Small-Baseline Subset approaches. We also validate the test results by comparing the InSAR displacements with Global Navigation Satellite System measurements at those volcanoes. Our tests indicate that the EZ-InSAR toolbox provided here can serve as a valuable contribution to the community for ground deformation monitoring and geohazard evaluation, as well as for disseminating bespoke InSAR observations for all.
星载干涉合成孔径雷达(InSAR)是一种星载大地测量技术,能够以毫米级精度绘制地面位移图。通过哥白尼哨兵-1合成孔径雷达(SAR)卫星开启的InSAR应用新时代,现在有几个用于处理SAR数据的开源软件包。这些软件包能让人们获得高质量的地面形变图,但仍需要对InSAR理论及相关计算工具深入了解,尤其是在处理大量图像时。在此,我们展示一个开源工具箱EZ-InSAR,用于通过多时间序列SAR图像对InSAR位移时间序列分析进行用户友好型实现。EZ-InSAR整合了三个最流行且知名的开源工具(即ISCE、StaMPS和MintPy),通过在无缝图形用户界面中使用这些先进算法来生成干涉图和位移时间序列。EZ-InSAR通过自动为用户感兴趣的区域下载哨兵-1 SAR图像和数字高程模型数据,并简化时间序列InSAR分析的输入数据堆栈准备工作,从而减轻了用户的工作量。我们通过使用永久散射体InSAR和小基线子集方法绘制坎皮佛莱格瑞(>100毫米/年)和长谷(约10毫米/年)火山口近期的地面形变,来说明EZ-InSAR的处理能力。我们还通过将InSAR位移与那些火山的全球导航卫星系统测量值进行比较,来验证测试结果。我们的测试表明,这里提供的EZ-InSAR工具箱可为地面形变监测和地质灾害评估领域做出宝贵贡献,也可为所有人传播定制的InSAR观测结果。