Articles | Volume 14, issue 11
https://doi.org/10.5194/tc-14-4253-2020
© Author(s) 2020. 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-14-4253-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
27 Nov 2020
Research article |
| 27 Nov 2020
| 27 Nov 2020
Using ICESat-2 and Operation IceBridge altimetry for supraglacial lake depth retrievals
Department of Climate and Space Sciences and Engineering, University of Michigan, Ann Arbor, MI, USA
Mark Flanner
Department of Climate and Space Sciences and Engineering, University of Michigan, Ann Arbor, MI, USA
Kelly M. Brunt
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Earth System Science Interdisciplinary Center (ESSIC), University of Maryland, College Park, MD, USA
Helen Amanda Fricker
Scripps Institution of Oceanography, San Diego, CA, USA
Alex Gardner
NASA Jet Propulsion Laboratory, Pasadena, CA, USA
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Cited
25 citations as recorded by crossref.
- Supraglacial lake bathymetry automatically derived from ICESat-2 constraining lake depth estimates from multi-source satellite imagery R. Datta & B. Wouters 10.5194/tc-15-5115-2021
- Estimations of Dynamic Water Depth and Volume of Global Lakes Using Machine Learning Y. Lv et al. 10.3390/rs17061052
- High-resolution imaging of supraglacial hydrological features on the Greenland Ice Sheet with NASA's Airborne Topographic Mapper (ATM) instrument suite M. Studinger et al. 10.5194/tc-16-3649-2022
- Measuring glacier mass changes from space—a review E. Berthier et al. 10.1088/1361-6633/acaf8e
- Accuracy assessment of ICESat-2 ATL08 terrain estimates: A case study in Spain J. Zhu et al. 10.1007/s11771-022-4896-x
- Subglacial lake activity beneath the ablation zone of the Greenland Ice Sheet Y. Fan et al. 10.5194/tc-17-1775-2023
- Vertical bedrock shifts reveal summer water storage in Greenland ice sheet J. Ran et al. 10.1038/s41586-024-08096-3
- The morphological changes of basal channels based on multi-source remote sensing data at the Pine Island Ice Shelf X. Song et al. 10.1007/s13131-023-2241-3
- 星载单光子激光雷达浅水测深技术研究进展和展望 李. Li Yujia et al. 10.3788/IRLA20220003
- Fitting profile water depth to improve the accuracy of lake depth inversion without bathymetric data based on ICESat-2 and Sentinel-2 data H. Yang et al. 10.1016/j.jag.2023.103310
- A Robust Density Estimation Method for Glacier-Height Retrieval From ICESat-2 Photon-Counting Data R. Chang et al. 10.1109/TGRS.2023.3277008
- A Novel Method for Mapping Lake Bottom Topography Using the GSW Dataset and Measured Water Level Y. Li et al. 10.3390/rs14061423
- Supraglacial Lake Depth Retrieval from ICESat-2 and Multispectral Imagery Datasets Q. Zhou et al. 10.34133/remotesensing.0416
- Temporal and Spatial Variations in the Radar Altimeter Signal Penetration Error in Greenland S. Wu et al. 10.1109/LGRS.2024.3419914
- Evaluation of satellite methods for estimating supraglacial lake depth in southwest Greenland L. Melling et al. 10.5194/tc-18-543-2024
- Evaluation of a Statistical Approach for Extracting Shallow Water Bathymetry Signals from ICESat-2 ATL03 Photon Data H. Ranndal et al. 10.3390/rs13173548
- Mechanism and algorithm for addressing the impact of multiple scattering on surface elevation extraction in photon-counting LiDAR data Z. Wang et al. 10.1016/j.rse.2025.114603
- Remote sensing of the mountain cryosphere: Current capabilities and future opportunities for research L. Taylor et al. 10.1177/03091333211023690
- An automated algorithm to retrieve the location and depth of supraglacial lakes from ICESat-2 ATL03 data W. Xiao et al. 10.1016/j.rse.2023.113730
- 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 10.5194/tc-18-5173-2024
- Improving the accuracy of glacial lake volume estimation: A case study in the Poiqu basin, central Himalayas M. Qi et al. 10.1016/j.jhydrol.2022.127973
- 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. 10.5194/tc-18-5431-2024
- Rapid Formation of an Ice Doline on Amery Ice Shelf, East Antarctica R. Warner et al. 10.1029/2020GL091095
- ICESat‐2 Meltwater Depth Estimates: Application to Surface Melt on Amery Ice Shelf, East Antarctica H. Fricker et al. 10.1029/2020GL090550
- Lateral meltwater transfer across an Antarctic ice shelf R. Dell et al. 10.5194/tc-14-2313-2020
23 citations as recorded by crossref.
- Supraglacial lake bathymetry automatically derived from ICESat-2 constraining lake depth estimates from multi-source satellite imagery R. Datta & B. Wouters 10.5194/tc-15-5115-2021
- Estimations of Dynamic Water Depth and Volume of Global Lakes Using Machine Learning Y. Lv et al. 10.3390/rs17061052
- High-resolution imaging of supraglacial hydrological features on the Greenland Ice Sheet with NASA's Airborne Topographic Mapper (ATM) instrument suite M. Studinger et al. 10.5194/tc-16-3649-2022
- Measuring glacier mass changes from space—a review E. Berthier et al. 10.1088/1361-6633/acaf8e
- Accuracy assessment of ICESat-2 ATL08 terrain estimates: A case study in Spain J. Zhu et al. 10.1007/s11771-022-4896-x
- Subglacial lake activity beneath the ablation zone of the Greenland Ice Sheet Y. Fan et al. 10.5194/tc-17-1775-2023
- Vertical bedrock shifts reveal summer water storage in Greenland ice sheet J. Ran et al. 10.1038/s41586-024-08096-3
- The morphological changes of basal channels based on multi-source remote sensing data at the Pine Island Ice Shelf X. Song et al. 10.1007/s13131-023-2241-3
- 星载单光子激光雷达浅水测深技术研究进展和展望 李. Li Yujia et al. 10.3788/IRLA20220003
- Fitting profile water depth to improve the accuracy of lake depth inversion without bathymetric data based on ICESat-2 and Sentinel-2 data H. Yang et al. 10.1016/j.jag.2023.103310
- A Robust Density Estimation Method for Glacier-Height Retrieval From ICESat-2 Photon-Counting Data R. Chang et al. 10.1109/TGRS.2023.3277008
- A Novel Method for Mapping Lake Bottom Topography Using the GSW Dataset and Measured Water Level Y. Li et al. 10.3390/rs14061423
- Supraglacial Lake Depth Retrieval from ICESat-2 and Multispectral Imagery Datasets Q. Zhou et al. 10.34133/remotesensing.0416
- Temporal and Spatial Variations in the Radar Altimeter Signal Penetration Error in Greenland S. Wu et al. 10.1109/LGRS.2024.3419914
- Evaluation of satellite methods for estimating supraglacial lake depth in southwest Greenland L. Melling et al. 10.5194/tc-18-543-2024
- Evaluation of a Statistical Approach for Extracting Shallow Water Bathymetry Signals from ICESat-2 ATL03 Photon Data H. Ranndal et al. 10.3390/rs13173548
- Mechanism and algorithm for addressing the impact of multiple scattering on surface elevation extraction in photon-counting LiDAR data Z. Wang et al. 10.1016/j.rse.2025.114603
- Remote sensing of the mountain cryosphere: Current capabilities and future opportunities for research L. Taylor et al. 10.1177/03091333211023690
- An automated algorithm to retrieve the location and depth of supraglacial lakes from ICESat-2 ATL03 data W. Xiao et al. 10.1016/j.rse.2023.113730
- 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 10.5194/tc-18-5173-2024
- Improving the accuracy of glacial lake volume estimation: A case study in the Poiqu basin, central Himalayas M. Qi et al. 10.1016/j.jhydrol.2022.127973
- 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. 10.5194/tc-18-5431-2024
- Rapid Formation of an Ice Doline on Amery Ice Shelf, East Antarctica R. Warner et al. 10.1029/2020GL091095
Latest update: 04 Jul 2025
Short summary
Ice on glaciers and ice sheets may melt and pond on ice surfaces in summer months. Detection and observation of these meltwater ponds is important for understanding glaciers and ice sheets, and satellite imagery has been used in previous work. However, image-based methods struggle with deep water, so we used data from the Ice, Clouds, and land Elevation Satellite-2 (ICESat-2) and the Airborne Topographic Mapper (ATM) to demonstrate the potential for lidar depth monitoring.
Ice on glaciers and ice sheets may melt and pond on ice surfaces in summer months. Detection and...
