3D velocity field time series using synthetic aperture radar: application to tidal-timescale ice-flow variability in Rutford Ice Stream, West Antarctica

We present a general method for retrieving time-series of three component surface velocity field vector given a set of continuous synthetic aperture radar (SAR) acquisitions collected from multiple geometries. Our algorithm extends the single-line-of-sight mathematical framework developed for time-s...

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Bibliographic Details
Published in:SPIE Proceedings, SAR Image Analysis, Modeling, and Techniques XVI
Main Authors: Milillo, Pietro, Minchew, Brent, Agram, Piyush, Riel, Bryan, Simons, Mark
Other Authors: Notarnicola, Claudia, Paloscia, Simonetta, Pierdicca, Nazzareno, Mitchard, Edward
Format: Book Part
Language:unknown
Published: Society of Photo-Optical Instrumentation Engineers 2016
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Online Access:https://doi.org/10.1117/12.2241617
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Summary:We present a general method for retrieving time-series of three component surface velocity field vector given a set of continuous synthetic aperture radar (SAR) acquisitions collected from multiple geometries. Our algorithm extends the single-line-of-sight mathematical framework developed for time-series analysis using interferometric SAR (InSAR) to three spatial dimensions. The inversion is driven by a design matrix corresponding to a dictionary of displacement functions parameterized in time. The resulting model minimizes a cost function using a non-regularized least-squares method. We applied our method to Rutford ice stream (RIS), West Antarctica, using a set of 101 multi-track multi-angle COSMO-SkyMed displacement maps generating azimuth and range pixel offsets. © 2016 SPIE. We benefitted from conversations with H. Gudmundsson, P. Lundgren and H. Martens. We used the original COSMOSkyMed product (copyright ASI -Agenzia Spaziale Italiana, 2013–2016). COSMO-SkyMed data products are processed at JPL under license from ASI as part of a collaborative project between CIDOT and JPL/Caltech. We acknowledge the Advanced Rapid Imaging Analysis system (ARIA) for data organization. The work of P. Milillo was done while he was a visiting student researcher at Caltech and partially sponsored by the National Aeronautics and Space Administration Postdoctoral Program. B. Minchew was partially funded by NASA Cyospheric Sciences award NNX14AH80G, NSF Earth Sciences Postdoctoral Fellowship award 1452587, and donations from the Albert Parvin and ARCS LA Chapter foundations. B. Riel was partially funded by a NASA Earth and Space Sciences fellowship. Published - 1000309.pdf