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Preprints
https://doi.org/10.5194/egusphere-2025-1068
https://doi.org/10.5194/egusphere-2025-1068
21 Mar 2025
 | 21 Mar 2025
Status: this preprint is open for discussion and under review for The Cryosphere (TC).

An alternative representation of Synthetic Aperture Radar images as an aid to the interpretation of englacial observations

Álvaro Arenas-Pingarrón, Alex M. Brisbourne, Carlos Martín, Hugh F. J. Corr, Carl Robinson, Tom A. Jordan, and Paul V. Brennan

Abstract. Ground penetrating radar reveals subsurface geometry and ice stratigraphy that contains information about past and present dynamics of the cryosphere. Synthetic Aperture Radar (SAR) is a processing technique based on averaging the received radar echoes along multiple locations as the radar moves relative to the target. Due to this averaging, directional features are lost. A Doppler frequency shift accounts for the distance rate from the radar to the target. We introduce an alternative representation of SAR images that preserves directional information encoded in its Doppler spectrum. With this technique, called Red-Green-Blue Doppler Decomposition (RGB-DD), the Doppler spectrum of a SAR image is split into three equalised bands, each band representing a primary direction of arrival. A primary colour is assigned to each band to allow joint representation in a single RGB image. We apply our representation framework to several datasets acquired with the British Antarctic Survey (BAS) airborne ice-sounding radar over three Antarctic ice streams. Compared to the standard SAR method that is based solely on the averaged intensity level, this method facilitates the enhanced interpretation of englacial features such as ice stratigraphy, crevasses, tephra layers, and along-flow transitions in strain-rate. The technique may be extended to other sensors and applications.

Competing interests: Carlos Martín is a member of the editorial board of The Cryosphere.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
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Synthetic Aperture Radar (SAR) imaging is essential for deep englacial observations. Each pixel...
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