A Baseline-Combination Method for Precise Estimation of Ice Motion in Antarctica

Differential synthetic aperture radar interferometry (D-InSAR) is a powerful method for measuring surface deformation, such as in studies of the earthquake cycle, volcano deformation monitoring, land subsidence monitoring, and glaciological studies. However, its application to glaciological studies is limited by the lack of accurate digital elevation models (DEMs), particularly over the Antarctic ice sheet. Previous studies on ice motion using D-InSAR are mostly based on short-baseline interferograms because these data sets are insensitive to DEM errors. Unfortunately, short-baseline interferograms are often unavailable. In this paper, we refine the InSAR technique by using a combination of two interferograms to make accurate ice-flow velocity measurements. The refined technique is tested in the Grove Mountains area, East Antarctica. Ice-flow velocities from the baseline-combination method are in good agreement with those measured by short-baseline interferograms. This method is also capable of reducing phase errors by combining the appropriate data sets. The reliability of the data sets is assessed by defining a baseline-combination parameter and ensuring that it is less than or equal to 1.0. With this method, we are able to extend the usefulness of D-InSAR for glaciological studies.

[1]  John R. Elliott,et al.  The 2011 Mw 7.1 Van (Eastern Turkey) earthquake , 2013 .

[2]  James Jackson,et al.  Slip in the 2010–2011 Canterbury earthquakes, New Zealand , 2012 .

[3]  T. Wright,et al.  Multi-interferogram method for measuring interseismic deformation: Denali Fault, Alaska , 2007 .

[4]  T. Wright,et al.  Measurement of interseismic strain accumulation across the North Anatolian Fault by satellite radar interferometry , 2001 .

[5]  K. Feigl,et al.  Radar interferometric mapping of deformation in the year after the Landers earthquake , 1994, Nature.

[6]  Tim J. Wright,et al.  InSAR slip rate determination on the Altyn Tagh Fault, northern Tibet, in the presence of topographically correlated atmospheric delays , 2008 .

[7]  Kenneth C. Jezek,et al.  Simultaneous Least Squares Adjustment of Multiframe Velocities Derived From Interferometric and Speckle-Tracking Methods , 2008, IEEE Geoscience and Remote Sensing Letters.

[8]  Tamsin A. Mather,et al.  Measuring large topographic change with InSAR: Lava thicknesses, extrusion rate and subsidence rate at Santiaguito volcano, Guatemala , 2012 .

[9]  Fabio Rocca,et al.  Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry , 2000, IEEE Trans. Geosci. Remote. Sens..

[10]  Eric Rignot,et al.  Tidal motion, ice velocity and melt rate of Petermann Gletscher, Greenland, measured from radar interferometry , 1996, Journal of Glaciology.

[11]  J. Elliott,et al.  Interseismic strain accumulation across the Manyi fault (Tibet) prior to the 1997 Mw 7.6 earthquake , 2011 .

[12]  Hiroyuki Fujisada,et al.  ASTER DEM performance , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[13]  Demitris Paradissis,et al.  Evolution of Santorini Volcano dominated by episodic and rapid fluxes of melt from depth , 2012 .

[14]  Tim J. Wright,et al.  Post-seismic motion following the 1997 Manyi (Tibet) earthquake: InSAR observations and modelling , 2007 .

[15]  F. Pollitz,et al.  Mantle Flow Beneath a Continental Strike-Slip Fault: Postseismic Deformation After the 1999 Hector Mine Earthquake , 2001, Science.

[16]  R. Goldstein,et al.  Satellite Radar Interferometry for Monitoring Ice Sheet Motion: Application to an Antarctic Ice Stream , 1993, Science.

[17]  Eric Rignot,et al.  Antarctic grounding line mapping from differential satellite radar interferometry , 2011 .

[18]  Gianfranco Fornaro,et al.  A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms , 2002, IEEE Trans. Geosci. Remote. Sens..

[19]  R. Goldstein,et al.  Mapping small elevation changes over large areas: Differential radar interferometry , 1989 .

[20]  R. Michel,et al.  Flow of Glaciar Moreno, Argentina, from repeat-pass Shuttle Imaging Radar images: comparison of the phase correlation method with radar interferometry , 1999, Journal of Glaciology.

[21]  R. Hanssen Radar Interferometry: Data Interpretation and Error Analysis , 2001 .

[22]  Ronald Kwok,et al.  Ice sheet motion and topography from radar interferometry , 1996, IEEE Trans. Geosci. Remote. Sens..

[23]  B. Scheuchl,et al.  Ice Flow of the Antarctic Ice Sheet , 2011, Science.

[24]  Kenneth C. Jezek,et al.  Synergistic Fusion of Interferometric and Speckle-Tracking Methods for Deriving Surface Velocity From Interferometric SAR Data , 2007, IEEE Geoscience and Remote Sensing Letters.

[25]  J. Dow,et al.  Envisat Precise Orbit Determination , 2005 .

[26]  Jonathan L. Bamber,et al.  A new 1 km Digital Elevation Model of the Antarctic Derived From Combined Satellite Radar and Laser Data , 2008 .

[27]  Eric Rignot,et al.  Tidal Flexure, Ice Velocities, and Ablation Rates of Peterman Gletscher, Greenland , 1996 .

[28]  Ian R. Joughin,et al.  Interferometric estimation of three-dimensional ice-flow using ascending and descending passes , 1998, IEEE Trans. Geosci. Remote. Sens..

[29]  Hongxing Liu,et al.  Development of an Antarctic digital elevation model by integrating cartographic and remotely sensed data: A geographic information system based approach , 1999 .