Benchmarking and inter-comparison of Sentinel-1 InSAR velocities and time series
Benchmarking and inter-comparison of Sentinel-1 InSAR velocities and time series
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DOI：
10.31223/osf.io/f2mwt
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发表时间：
2020-05
影响因子：
13.5
通讯作者：
Z. Sadeghi;T. Wright;A. Hooper;C. Jordan;A. Novellino;L. Bateson;J. Biggs
中科院分区：
文献类型：
--
作者：
Z. Sadeghi;T. Wright;A. Hooper;C. Jordan;A. Novellino;L. Bateson;J. Biggs
摘要不同的InSAR算法和方法产生的速度和时间序列并不相同，即使在同一区域使用相同的数据也是如此。这种不一致可能会造成混乱，并成为商业部门吸收和广泛使用数据的障碍。随着Sentinel-1合成孔径雷达数据的广泛获得以及一系列新的算法在商业和学术领域的应用，开发一种不同结果的比较方法是及时的。在这项研究中，我们专注于开发和测试一种独立和健壮的方法来评估不同的InSAR处理结果。我们建议的方法来自Terrafima过程验证项目；我们比较地理编码的视线速度和时间序列、密度和覆盖率，以及一些定性度量。我们使用来自英国格拉斯哥一个地区的哨兵1号数据，使用4种不同的方法处理，包括改进的RapidSAR、SqueeSAR、Gamma-IPTA和传统的STAMP。使用所有方法检测主要的地面运动区域，所有多边形中所有内部比较对的速度差的平均标准差等于1.1毫米/年。因此，Sentinel-1 InSAR提供了与处理方法无关的可比结果。然而，在结果的某些方面，特别是在其密度和覆盖面方面，存在着相当大的差异。我们讨论了这些差异的原因，并提出了一个验证框架，该框架可用于未来的国家或泛国家地震动服务。
Abstract Different InSAR algorithms and methods produce velocities and times series that are not identical, even using the same data for the same area. This inconsistency can cause confusion and be a barrier to uptake and widespread use of the data in the commercial sector. With the widespread availability of Sentinel-1 SAR data and a suite of new algorithms in the commercial and academic sectors, it is timely to develop a method for comparison of different results. In this study, we focus on developing and testing an independent and robust methodology for assessment of different InSAR processing results. Our proposed method is adapted from the Terrafirma Process Validation project; we compare geocoded line-of-sight velocities and time series, density and coverage, as well as some qualitative metrics. We use Sentinel-1 data from an area in Glasgow (UK) processed using 4 different approaches modified RapidSAR, SqueeSAR, GAMMA-IPTA and conventional StaMPS. The main areas of ground motion are detected using all approaches, with the average standard deviation of velocity differences for all inter-comparison pairs in all polygons equal to 1.1 mm/yr. Sentinel-1 InSAR therefore provides comparable results that are independent of processing approaches. However, there are considerable differences in some aspects of the results, in particular in their density and coverage. We discuss the reasons for these differences and suggest a framework for validation that could be used in future national or pan-national ground motion services.