Geodetic Imaging of Time-Dependent Three-Component Surface Deformation: Application to Tidal-Timescale Ice Flow of Rutford Ice Stream, West Antarctica

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 earlie...

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Bibliographic Details
Published in:IEEE transactions on geoscience and remote sensing 2017-10, Vol.55 (10), p.5515-5524
Main Authors: Milillo, Pietro, Minchew, Brent, Simons, Mark, Agram, Piyush, Riel, Bryan
Format: Article
Language:English
Subjects:
3-D analysis
Antarctica
Azimuth
Data processing
Deformation
Dimensions
Displacement
Estimation
Fields
Frameworks
Global positioning systems
GPS
Grounding
Ice
Imaging techniques
Interferometric synthetic aperture radar
Methods
ocean tides
pixel offsets (POs)
Rivers
Rutford ice stream (RIS)
SAR (radar)
Satellite constellations
Satellites
Sea level
Sea surface
Spatial analysis
Synthetic aperture radar
synthetic aperture radar (SAR)
Time dependence
Time series
time-series analysis
Velocity distribution
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Description
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.
ISSN:0196-2892
1558-0644
DOI:10.1109/TGRS.2017.2709783