The Cryosphere
The Cryosphere
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Articles | Volume 18, issue 3
Articles | Volume 18, issue 3
https://doi.org/10.5194/tc-18-1241-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-18-1241-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 3
Research article
 | 
19 Mar 2024
Research article |  | 19 Mar 2024

Deep clustering in subglacial radar reflectance reveals subglacial lakes

Sheng Dong, Lei Fu, Xueyuan Tang, Zefeng Li, and Xiaofei Chen

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Cited articles

Arnold, E., Leuschen, C., Rodriguez-Morales, F., Li, J., Paden, J., Hale, R., and Keshmiri, S.: CReSIS airborne radars and platforms for ice and snow sounding, Ann. Glaciol., 61, 58–67, 2020. a, b, c
Bailey, D.: Polar-cap absorption, Planet. Space Sci., 12, 495–541, 1964. a
Bell, R. E., Ferraccioli, F., Creyts, T. T., Braaten, D., Corr, H., Das, I., Damaske, D., Frearson, N., Jordan, T., Rose, K., Studinger, M., and Wolovick, M.: Widespread persistent thickening of the East Antarctic Ice Sheet by freezing from the base, Science, 331, 1592–1595, 2011. a, b
Bowling, J., Livingstone, S., Sole, A., and Chu, W.: Distribution and dynamics of Greenland subglacial lakes, Nat. Commun., 10, 1–11, 2019. a
Carter, S. P., Blankenship, D. D., Peters, M. E., Young, D. A., Holt, J. W., and Morse, D. L.: Radar-based subglacial lake classification in Antarctica, Geochem. Geophy. Geosy., 8, Q03016, https://doi.org/10.1029/2006GC001408, 2007. a, b
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Subglacial lakes are a unique environment at the bottom of ice sheets, and they have distinct features in radar echo images that allow for visual detection. In this study, we use machine learning to analyze radar reflection waveforms and identify candidate subglacial lakes. Our approach detects more lakes than known inventories and can be used to expand the subglacial lake inventory. Additionally, this analysis may also provide insights into interpreting other subglacial conditions.
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