Articles | Volume 20, issue 3
https://doi.org/10.5194/tc-20-1929-2026
https://doi.org/10.5194/tc-20-1929-2026
Research article
 | 
02 Apr 2026
Research article |  | 02 Apr 2026

Southwest Greenland supraglacial lake bathymetry derived from ICESat-2 and spectral stratification of satellite imagery

Jinhao Lv, Chunchun Gao, Chao Qi, Shaoyu Li, Dianpeng Su, Kai Zhang, and Fanlin Yang

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Cited articles

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Beckmann, J. and Winkelmann, R.: Effects of extreme melt events on ice flow and sea level rise of the Greenland Ice Sheet, The Cryosphere, 17, 3083–3099, https://doi.org/10.5194/tc-17-3083-2023, 2023. 
Box, J. E. and Ski, K.: Remote sounding of Greenland supraglacial melt lakes: implications for subglacial hydraulics, Journal of Glaciology, 53, 257–265, https://doi.org/10.3189/172756507782202883, 2007. 
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Box, J. E., Hubbard, A., Bahr, D. B., Colgan, W. T., Fettweis, X., Mankoff, K. D., Wehrlé, A., Noël, B., Van Den Broeke, M. R., and Wouters, B.: Greenland ice sheet climate disequilibrium and committed sea-level rise, Nature Climate Change, 12, 808–813, https://doi.org/10.1038/s41558-022-01441-2, 2022. 
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Short summary
This study integrates ICESat-2 observations with multispectral imagery to estimate supraglacial lake depths on the Greenland Ice Sheet using satellite-derived bathymetry (SDB). By accounting for depth-dependent reflectance variations, we apply spectral stratification to improve SDB inversion accuracy. Owing to its low cost, strong spatiotemporal coverage, and enhanced accuracy, this approach provides valuable insights for monitoring supraglacial lake water depths.
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