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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Cited articles

Arndt, P. and Fricker, H. A.: Towards Automated Generation of Ice-Sheet Wide Supraglacial Meltwater Depth Measurements from ICESat-2 Data, Using High-Throughput Computing, in: AGU Fall Meeting Abstracts, vol. 2022, C35C–0895, 12–16 December 2022, https://ui.adsabs.harvard.edu/abs/2022AGUFM.C35C0895A/abstract (last access: 14 November 2024), 2022. a
Arndt, P. and Fricker, H. A.: Source Code for: A Framework for Automated Supraglacial Lake Detection and Depth Retrieval in ICESat-2 Photon Data Across the Greenland and Antarctic Ice Sheets, Zenodo [code], https://doi.org/10.5281/zenodo.10905941, 2024a. a
Arndt, P. and Fricker, H. A.: Data For: A Framework for Automated Supraglacial Lake Detection and Depth Retrieval in ICESat-2 Photon Data Across the Greenland and Antarctic Ice Sheets, Zenodo [data set], https://doi.org/10.5281/zenodo.10901737, 2024b. a
Arndt, P. and Fricker, H. A.: Data and Code for Figure Reproduction: A Framework for Automated Supraglacial Lake Detection and Depth Retrieval in ICESat-2 Photon Data Across the Greenland and Antarctic Ice Sheets, Zenodo [code and data set], https://doi.org/10.5281/zenodo.10901826, 2024c. a, b, c
Arthur, J. F., Stokes, C., Jamieson, S. S., Carr, J. R., and Leeson, A. A.: Recent understanding of Antarctic supraglacial lakes using satellite remote sensing, Prog. Phys. Geog., 44, 837–869, 2020a. a
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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.