Articles | Volume 18, issue 2
https://doi.org/10.5194/tc-18-543-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-18-543-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Feb 2024
Research article |
| 08 Feb 2024
| 08 Feb 2024
Evaluation of satellite methods for estimating supraglacial lake depth in southwest Greenland
Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, United Kingdom
Amber Leeson
Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, United Kingdom
Malcolm McMillan
Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, United Kingdom
Jennifer Maddalena
Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, United Kingdom
Jade Bowling
Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, United Kingdom
Emily Glen
Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, United Kingdom
Louise Sandberg Sørensen
DTU Space, Danmarks Tekniske Universitet, 2800 Lyngby, Denmark
Mai Winstrup
DTU Space, Danmarks Tekniske Universitet, 2800 Lyngby, Denmark
Rasmus Lørup Arildsen
DTU Space, Danmarks Tekniske Universitet, 2800 Lyngby, Denmark
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Cited
17 citations as recorded by crossref.
- Automated Detection and Mapping of Supraglacial Lakes Using Machine Learning From ICESat-2 and Sentinel-2 Data G. Zhang et al. https://doi.org/10.1109/TGRS.2025.3602429
- A geographically weighted machine learning framework with ICESat‑2 for estimating water storage of ice‑marginal lakes in eastern and northeastern Greenland H. Zhao et al. https://doi.org/10.1016/j.ejrh.2026.103519
- Supraglacial Lake Depth Retrieval from ICESat-2 and Multispectral Imagery Datasets Q. Zhou et al. https://doi.org/10.34133/remotesensing.0416
- Assessing supraglacial lake depth using ICESat-2, Sentinel-2, TanDEM-X, and in situ sonar measurements over Northeast and Southwest Greenland K. Lutz et al. https://doi.org/10.5194/tc-18-5431-2024
- Enabling 3D landslide event statistics using satellite and UAV-enabled topographic differencing M. Clark et al. https://doi.org/10.1007/s10346-024-02374-x
- Comparison of Multiple Methods for Supraglacial Melt-Lake Volume Estimation in Western Greenland During the 2021 Summer Melt Season N. Rowley et al. https://doi.org/10.3390/glacies1020007
- Evaluation of satellite methods for estimating supraglacial lake depth in southwest Greenland L. Melling et al. https://doi.org/10.5194/tc-18-543-2024
- A framework for automated supraglacial lake detection and depth retrieval in ICESat-2 photon data across the Greenland and Antarctic ice sheets P. Arndt & H. Fricker https://doi.org/10.5194/tc-18-5173-2024
- Geomorphic coupling between proglacial lake dynamics and moraine failure: a new mechanism of GLOF hazard in the Samudra Tapu glacier system M. Salim & R. Garg https://doi.org/10.1080/02723646.2026.2667379
- The Greenland Ice-Marginal Lake Inventory Series from 2016 to 2023 P. How et al. https://doi.org/10.5194/essd-17-6331-2025
- Joint mapping of melt pond bathymetry and water volume on sea ice using optical remote sensing images and physical reflectance models C. Xiong & X. Li https://doi.org/10.1016/j.rse.2024.114571
- Estimating supraglacial lake depth in Greenland: A comparison study of empirical formula, radiative transfer and depression topography methods M. Man et al. https://doi.org/10.1017/jog.2025.23
- Greenland supraglacial lakes albedo-depth parameterization from multi-source remote sensing: An application of lake-albedo feedback modeling J. Wu et al. https://doi.org/10.1016/j.jhydrol.2025.134001
- Outburst of a subglacial flood from the surface of the Greenland Ice Sheet J. Bowling et al. https://doi.org/10.1038/s41561-025-01746-9
- Southwest Greenland supraglacial lake bathymetry derived from ICESat-2 and spectral stratification of satellite imagery J. Lv et al. https://doi.org/10.5194/tc-20-1929-2026
- A comparison of supraglacial meltwater features throughout contrasting melt seasons: southwest Greenland E. Glen et al. https://doi.org/10.5194/tc-19-1047-2025
- Volumetric evolution of supraglacial lakes in southwestern Greenland using ICESat-2 and Sentinel-2 T. Feng et al. https://doi.org/10.5194/tc-19-2635-2025
17 citations as recorded by crossref.
- Automated Detection and Mapping of Supraglacial Lakes Using Machine Learning From ICESat-2 and Sentinel-2 Data G. Zhang et al. https://doi.org/10.1109/TGRS.2025.3602429
- A geographically weighted machine learning framework with ICESat‑2 for estimating water storage of ice‑marginal lakes in eastern and northeastern Greenland H. Zhao et al. https://doi.org/10.1016/j.ejrh.2026.103519
- Supraglacial Lake Depth Retrieval from ICESat-2 and Multispectral Imagery Datasets Q. Zhou et al. https://doi.org/10.34133/remotesensing.0416
- Assessing supraglacial lake depth using ICESat-2, Sentinel-2, TanDEM-X, and in situ sonar measurements over Northeast and Southwest Greenland K. Lutz et al. https://doi.org/10.5194/tc-18-5431-2024
- Enabling 3D landslide event statistics using satellite and UAV-enabled topographic differencing M. Clark et al. https://doi.org/10.1007/s10346-024-02374-x
- Comparison of Multiple Methods for Supraglacial Melt-Lake Volume Estimation in Western Greenland During the 2021 Summer Melt Season N. Rowley et al. https://doi.org/10.3390/glacies1020007
- Evaluation of satellite methods for estimating supraglacial lake depth in southwest Greenland L. Melling et al. https://doi.org/10.5194/tc-18-543-2024
- A framework for automated supraglacial lake detection and depth retrieval in ICESat-2 photon data across the Greenland and Antarctic ice sheets P. Arndt & H. Fricker https://doi.org/10.5194/tc-18-5173-2024
- Geomorphic coupling between proglacial lake dynamics and moraine failure: a new mechanism of GLOF hazard in the Samudra Tapu glacier system M. Salim & R. Garg https://doi.org/10.1080/02723646.2026.2667379
- The Greenland Ice-Marginal Lake Inventory Series from 2016 to 2023 P. How et al. https://doi.org/10.5194/essd-17-6331-2025
- Joint mapping of melt pond bathymetry and water volume on sea ice using optical remote sensing images and physical reflectance models C. Xiong & X. Li https://doi.org/10.1016/j.rse.2024.114571
- Estimating supraglacial lake depth in Greenland: A comparison study of empirical formula, radiative transfer and depression topography methods M. Man et al. https://doi.org/10.1017/jog.2025.23
- Greenland supraglacial lakes albedo-depth parameterization from multi-source remote sensing: An application of lake-albedo feedback modeling J. Wu et al. https://doi.org/10.1016/j.jhydrol.2025.134001
- Outburst of a subglacial flood from the surface of the Greenland Ice Sheet J. Bowling et al. https://doi.org/10.1038/s41561-025-01746-9
- Southwest Greenland supraglacial lake bathymetry derived from ICESat-2 and spectral stratification of satellite imagery J. Lv et al. https://doi.org/10.5194/tc-20-1929-2026
- A comparison of supraglacial meltwater features throughout contrasting melt seasons: southwest Greenland E. Glen et al. https://doi.org/10.5194/tc-19-1047-2025
- Volumetric evolution of supraglacial lakes in southwestern Greenland using ICESat-2 and Sentinel-2 T. Feng et al. https://doi.org/10.5194/tc-19-2635-2025
Saved (final revised paper)
Latest update: 29 Jul 2026
Short summary
Lakes on glaciers hold large volumes of water which can drain through the ice, influencing estimates of sea level rise. To estimate water volume, we must calculate lake depth. We assessed the accuracy of three satellite-based depth detection methods on a study area in western Greenland and considered the implications for quantifying the volume of water within lakes. We found that the most popular method of detecting depth on the ice sheet scale has higher uncertainty than previously assumed.
Lakes on glaciers hold large volumes of water which can drain through the ice, influencing...
