Presentation + Paper
28 October 2016 3D velocity field time series using synthetic aperture radar: application to tidal-timescale ice-flow variability in Rutford Ice Stream, West Antarctica
Pietro Milillo, Brent Minchew, Piyush Agram, Bryan Riel, Mark Simons
Author Affiliations +
Proceedings Volume 10003, SAR Image Analysis, Modeling, and Techniques XVI; 1000309 (2016) https://doi.org/10.1117/12.2241617
Event: SPIE Remote Sensing, 2016, Edinburgh, United Kingdom
Abstract
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.
Conference Presentation
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Pietro Milillo, Brent Minchew, Piyush Agram, Bryan Riel, and Mark Simons "3D velocity field time series using synthetic aperture radar: application to tidal-timescale ice-flow variability in Rutford Ice Stream, West Antarctica", Proc. SPIE 10003, SAR Image Analysis, Modeling, and Techniques XVI, 1000309 (28 October 2016); https://doi.org/10.1117/12.2241617
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KEYWORDS
Synthetic aperture radar

Interferometric synthetic aperture radar

Algorithm development

Global Positioning System

3D modeling

Associative arrays

3D metrology

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