| Summary: | We present a method for inferring time-dependent three-component surface deformation fields given a set of geodetic images of displacements collected from multiple viewing geometries. Displacements are parameterized in time with a dictionary of displacement functions. The algorithm extends an earlier single-component (i.e., single line of sight) framework for time-series analysis to three spatial dimensions using combinations of multitemporal, multigeometry interferometic synthetic aperture radar (InSAR) and/or pixel offset (PO) maps. We demonstrate this method with a set of 101 pairs of azimuth and range PO maps generated for a portion of the Rutford Ice Stream, West Antarctica, derived from data collected by the COSMO-SkyMed satellite constellation. We compare our results with previously published InSAR mean velocity fields and selected GPS time series and show that our resulting three-component surface displacements resolve both secular motion and tidal variability. © 2017 IEEE. Manuscript received May 28, 2016; revised September 16, 2016, November 22, 2016, and May 3, 2017; accepted May 24, 2017. Date of publication June 29, 2017; date of current version September 25, 2017. The work of P. Milillo was supported by the National Aeronautics and Space Administration Postdoctoral Program. The work of B. Minchew was supported in part by NASA Cyospheric Sciences under Award NNX14AH80G, in part by National Science Foundation Earth Sciences Postdoctoral Fellowship under Award 1452587, and in part by Albert Parvin and ARCS LA Chapter Foundations. The work of B. Riel was supported by NASA Earth and Space Sciences Fellowship.
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