Long-term Satellite-derived Bathymetry of Arctic Supraglacial Lake from ICESat-2 and Sentinel-2

7 citations as recorded by crossref.

1. 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
2. Sensor Synergy in Bathymetric Mapping: Integrating Optical, LiDAR, and Echosounder Data Using Machine Learning E. Gülher & U. Alganci https://doi.org/10.3390/rs17162912
3. Spatial-Temporal Evolution of Proglacial Lake Volumes and Estimation Models in the Himalaya and Nyainqentanglha Ranges M. Zhang et al. https://doi.org/10.3390/rs18132249
4. 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
5. A Framework for Evaluating and Improving the Geolocation Capability of ICESat-2 Photon Data Using AAV Surveys in Antarctic Marginal Regions Y. He et al. https://doi.org/10.1109/TGRS.2025.3597367
6. Temporal evolution of the Petermann Ice Shelf estuary constrained by satellite remote sensing observations M. Savignano et al. https://doi.org/10.5194/tc-20-5247-2026
7. 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