Articles | Volume 18, issue 11
https://doi.org/10.5194/tc-18-5173-2024
https://doi.org/10.5194/tc-18-5173-2024
Research article
 | 
15 Nov 2024
Research article |  | 15 Nov 2024

A framework for automated supraglacial lake detection and depth retrieval in ICESat-2 photon data across the Greenland and Antarctic ice sheets

Philipp Sebastian Arndt and Helen Amanda Fricker

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Short summary
We develop a method for ice-sheet-scale retrieval of supraglacial meltwater depths using ICESat-2 photon data. We report results for two drainage basins in Greenland and Antarctica during two contrasting melt seasons, where our method reveals a total of 1249 lake segments up to 25 m deep. The large volume and wide variety of accurate depth data that our method provides enable the development of data-driven models of meltwater volumes in satellite imagery.