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Improvement of radar ice-thickness measurements of Greenland outlet glaciers using SAR processing

Published online by Cambridge University Press:  14 September 2017

David A. Braaten
Affiliation:
Radar Systems and Remote Sensing Laboratory, University of Kansas, Lawrence, KS 66045-2969, U.S.A. Department of Physics and Astronomy, University of Kansas, Lawrence, KS 66045-2969, U.S.A. E-mail: braaten@ukans.edu
S. Prasad Gogineni
Affiliation:
Radar Systems and Remote Sensing Laboratory, University of Kansas, Lawrence, KS 66045-2969, U.S.A.
Dilip Tammana
Affiliation:
Radar Systems and Remote Sensing Laboratory, University of Kansas, Lawrence, KS 66045-2969, U.S.A. LSI Logic Storage Systems, Inc., 3718 N. Rock Road, Wichita, KS 67226, U.S.A.
Saikiran Namburi
Affiliation:
Radar Systems and Remote Sensing Laboratory, University of Kansas, Lawrence, KS 66045-2969, U.S.A.
John Paden
Affiliation:
Radar Systems and Remote Sensing Laboratory, University of Kansas, Lawrence, KS 66045-2969, U.S.A.
Krishna K. Gurumoorthy
Affiliation:
Radar Systems and Remote Sensing Laboratory, University of Kansas, Lawrence, KS 66045-2969, U.S.A.
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Abstract

Extensive aircraft-based radar ice-thickness measurements over the interior and outlet-glacier regions of the Greenland ice sheet have been obtained by the University of Kansas since 1993, with the latest airborne surveys conducted in May 2001. the radar has evolved during this period to a highly versatile system capable of characterizing ice thickness over a wide variety of ice-sheet conditions. Before 1997, the digital system was limited, only capable of storing incoherent data or coherent data with a very large number of presumed signals at a low pulse-repetition frequency. In 1998, the radar was upgraded with modern components allowing coherent data to be stored with a small number of presumed returns for 1024 range cells at a high pulse-repetition frequency. the new data on ice thickness of Greenland outlet glaciers are archived and made available to the scientific community in the form of radar echograms and derived ice thickness at http://tornado.rsl.ukans.edu/Greenlanddata.htm. the U.S. National Snow and Ice Data Center (NSIDC) also provides a link to these data, and NSIDC will eventually serve as the permanent archive of these data. Improvements in radar sensitivity in outlet-glacier regions have been achieved by collecting coherent radar data and applying various signal-processing techniques. Deep outlet-glacier channels that were previously unresolved with incoherent data can now be mapped using a coherent signal, signal conditioning and synthetic aperture radar (SAR) processing.

Information

Type
Research Article
Copyright
Copyright © the Author(s) [year] 2002
Figure 0

Fig. 1 Map showing the locations of outlet glaciers with available ice-thickness radar data.

Figure 1

Table 1. Summary of ice-thickness data available for outlet glaciers surveyed by the University of Kansas radar depth sounder, 1993–2001

Figure 2

Fig. 2 Comparison of radar echograms from incoherent radar data collected on 13 May 1997 (a) and coherent radar data collected on 14 July 1998 (b) over Jakobshavn Isbræ. the incoherent data are unable to resolve the bottom in the channel, but with coherent data and SAR signal processing the channel bottom is seen. the vertical axis is given in range bins, where the ice thickness is the bottom range bin minus the top, multiplied by 4.494 m/range bin.

Figure 3

Fig. 3 Comparison of radar echograms from coherent radar data collected on 20 May 2001, over Kangerlussuaq Glacier: (a) the echogram represents the radar data with only basic signal conditioning procedures used to identify the bottom echo; (b) SAR processing is applied to these data revealing the bottom of the glacier channel. the vertical axis is given in range bins, where the ice thickness is the bottom range bin minus the top, multiplied by 4.494 m/range bin.

Figure 4

Fig. 4 Comparison of radar echograms from coherent radar data collected on 27 May 2001, over Jakobshavn Isbræ: (a) the echogram represents the radar data with only basic signal conditioning procedures used to identify the bottom echo; (b) SAR processing is applied to these data revealing the bottom of the glacier channel. the vertical axis is given in range bins, where the ice thickness is the bottom range bin minus the top, multiplied by 4.494 m/range bin.