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Title: Layer optimized SAR processing and slope estimation in radar sounder data
Abstract Englacial layers in Antarctica and Greenland are indicators of the dynamic, rheological and subglacial configuration of the ice sheets. Airborne radar sounder data is the primary remote sensing solution for directly observing englacial layers and structures at the glacier-catchment to ice-sheet scale. However, when traditional along-track synthetic aperture radar (SAR) processing is applied, steep layers can disappear, limiting the detectability and interpretability of englacial layer geometry. This study provides a reconstruction algorithm to address the problem of destructive phase interference during the radargram formation. We develop and apply a novel SAR processor optimized for layer detection that enhances the Signal-to-Noise ratio (SNR) of specular reflectors. The algorithm also enables the automatic estimation of layer slope. We demonstrate the algorithm using data acquired at the Institute Ice Stream, West Antarctica.  more » « less
Award ID(s):
1745137
NSF-PAR ID:
10143101
Author(s) / Creator(s):
; ; ;
Date Published:
Journal Name:
Journal of Glaciology
Volume:
65
Issue:
254
ISSN:
0022-1430
Page Range / eLocation ID:
983 to 988
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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