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DOI10.1016/j.rse.2021.112306
Benchmarking and inter-comparison of Sentinel-1 InSAR velocities and time series
Sadeghi Z.; Wright T.J.; Hooper A.J.; Jordan C.; Novellino A.; Bateson L.; Biggs J.
发表日期2021
ISSN00344257
卷号256
英文摘要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. © 2021 The Authors
英文关键词Comparison; Ground Motion.; InSAR; Sentinel-1
语种英语
scopus关键词Time series; Academic sectors; Commercial sector; Insar processing; Intercomparisons; Process validation; Processing approach; Standard deviation; Velocity difference; Velocity; assessment method; methodology; model validation; Sentinel; synthetic aperture radar; time series analysis; Glasgow [Scotland]; Scotland; United Kingdom
来源期刊Remote Sensing of Environment
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/178940
作者单位COMET, School of Earth and Environment, University of Leeds, Leeds, United Kingdom; British Geological Survey, Environmental Science Centre, Keyworth, Nottingham, United Kingdom; COMET, School of Earth Sciences, University of Bristol, Bristol, United Kingdom
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Sadeghi Z.,Wright T.J.,Hooper A.J.,et al. Benchmarking and inter-comparison of Sentinel-1 InSAR velocities and time series[J],2021,256.
APA Sadeghi Z..,Wright T.J..,Hooper A.J..,Jordan C..,Novellino A..,...&Biggs J..(2021).Benchmarking and inter-comparison of Sentinel-1 InSAR velocities and time series.Remote Sensing of Environment,256.
MLA Sadeghi Z.,et al."Benchmarking and inter-comparison of Sentinel-1 InSAR velocities and time series".Remote Sensing of Environment 256(2021).
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