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

Status: open (until 07 May 2025)

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

Data sets

Ice-sounding airborne synthetic aperture radar depth profiles from Recovery Ice Stream 2016/17 and Rutford Ice Stream 2019/20 to test the RGB-Doppler-Decomposition method. (Version 1.0) [Data set] A. Arenas Pingarron et al. https://doi.org/10.5285/40c2f86b-1a02-4106-934a-42769682df66

Model code and software

antarctica/sar-rgb-spectral-decomposition: SAR_rgb_spectral_decomposition (v1.0.3) A. Arenas-Pingarron https://doi.org/10.5281/zenodo.14962614

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

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Short summary
Synthetic Aperture Radar (SAR) imaging is essential for deep englacial observations. Each pixel is formed by averaging the radar echoes within an antenna beamwidth, but the echo diversity is lost after the average. We improve the SAR interpretation if three sub-images are formed with different sub-beamwidths: each is coloured in red, green, or blue, and they are overlapped, creating a coloured image. Interpreters will better identify the slopes of internal layers, crevasses, and layer roughness.
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