Articles | Volume 20, issue 3
https://doi.org/10.5194/tc-20-1929-2026
© Author(s) 2026. 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-20-1929-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Southwest Greenland supraglacial lake bathymetry derived from ICESat-2 and spectral stratification of satellite imagery
Jinhao Lv
College of Geodesy and Geomatics, Shandong University of Science and Technology, 266590 Qingdao, PR China
Chunchun Gao
College of Geodesy and Geomatics, Shandong University of Science and Technology, 266590 Qingdao, PR China
Key Laboratory of Ocean Geomatics, Ministry of Natural Resources of China, 266590 Qingdao, PR China
Chao Qi
CORRESPONDING AUTHOR
College of Geodesy and Geomatics, Shandong University of Science and Technology, 266590 Qingdao, PR China
Key Laboratory of Ocean Geomatics, Ministry of Natural Resources of China, 266590 Qingdao, PR China
Shaoyu Li
CORRESPONDING AUTHOR
College of Geodesy and Geomatics, Shandong University of Science and Technology, 266590 Qingdao, PR China
Dianpeng Su
College of Geodesy and Geomatics, Shandong University of Science and Technology, 266590 Qingdao, PR China
Key Laboratory of Ocean Geomatics, Ministry of Natural Resources of China, 266590 Qingdao, PR China
Kai Zhang
College of Geodesy and Geomatics, Shandong University of Science and Technology, 266590 Qingdao, PR China
Key Laboratory of Ocean Geomatics, Ministry of Natural Resources of China, 266590 Qingdao, PR China
Fanlin Yang
College of Geodesy and Geomatics, Shandong University of Science and Technology, 266590 Qingdao, PR China
Key Laboratory of Ocean Geomatics, Ministry of Natural Resources of China, 266590 Qingdao, PR China
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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.
This study integrates ICESat-2 observations with multispectral imagery to estimate supraglacial...