Articles | Volume 18, issue 3
https://doi.org/10.5194/tc-18-1241-2024
https://doi.org/10.5194/tc-18-1241-2024
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

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Short summary
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.