Interferometric discrimination of cross-track bed clutter in ice-penetrating radar sounding data

Research output: Contribution to journalArticleResearchpeer-review

12 Citations (Scopus)

Abstract

The interpretations of relevant interfaces (i.e. the surface and bed) in radar sounding datasets over glaciers and ice sheets are primary boundary conditions in a variety of climate studies and particularly subglacial water routing models. It is therefore necessary to ensure these interpretations are consistent and not affected by cross-track clutter. For the surface interface, interferometry and a family of methods relying on digital elevation models have been used to successfully discriminate cross-track surface clutter. Here we present how interferometry can be applied to the problem of basal clutter from cross-track bed topography. Our approach is based on a comparison of the differential phases of ambiguous reflectors that may represent bed clutter and the differential phase of a reflector in an adjacent area that appears unaffected by basal clutter. The reflector yielding the smallest interferometric phase difference relative to the unambiguous bed reflector is considered to represent its consistent continuation. We successfully demonstrate our approach using 60 MHz center frequency MARFA data collected over Devon Ice Cap in the Canadian Arctic. Finally, we investigate the effects of clutter-affected and interferometry-corrected bed interpretations on ice layer thickness estimates, basal hydraulic head gradients and the potential extent of inferred subglacial water bodies.

Original languageEnglish
Pages (from-to)68-73
Number of pages6
JournalAnnals of Glaciology
Volume61
Issue number81
DOIs
Publication statusPublished - 1 Apr 2020
Externally publishedYes

Keywords

  • Clutter
  • interferometry
  • radar remote sensing
  • radioglaciology

Programme Area

  • Programme Area 5: Nature and Climate

Fingerprint

Dive into the research topics of 'Interferometric discrimination of cross-track bed clutter in ice-penetrating radar sounding data'. Together they form a unique fingerprint.

Cite this