Articles | Volume 19, issue 10
https://doi.org/10.5194/tc-19-4657-2025
https://doi.org/10.5194/tc-19-4657-2025
Research article
 | 
20 Oct 2025
Research article |  | 20 Oct 2025

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

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Reviewer Comment on egusphere-2025-1068', Nicholas Holschuh, 13 Apr 2025
    • AC1: 'Reply on RC1', Alvaro Arenas Pingarron, 01 Aug 2025
  • RC2: 'Comment on egusphere-2025-1068', Anonymous Referee #2, 21 Jul 2025
    • AC2: 'Reply on RC2', Alvaro Arenas Pingarron, 01 Aug 2025

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to minor revisions (review by editor) (01 Aug 2025) by Joseph MacGregor
AR by Alvaro Arenas Pingarron on behalf of the Authors (11 Aug 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (15 Aug 2025) by Joseph MacGregor
AR by Alvaro Arenas Pingarron on behalf of the Authors (20 Aug 2025)
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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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