74 citations as recorded by crossref.

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2. Automated mapping of the seasonal evolution of surface meltwater and its links to climate on the Amery Ice Shelf, Antarctica P. Tuckett et al. https://doi.org/10.5194/tc-15-5785-2021
3. Pan-Greenland mapping of supraglacial rivers, lakes, and water-filled crevasses in a cool summer (2018) and a warm summer (2019) W. Zhang et al. https://doi.org/10.1016/j.rse.2023.113781
4. Potential of an adapting segment anything model (SAM) for automatically extracting supraglacial lakes from satellite imagery over the Greenland ice sheet M. Chai et al. https://doi.org/10.1080/17538947.2025.2554312
5. Remote Sensing of Surface Melt on Antarctica: Opportunities and Challenges S. Husman et al. https://doi.org/10.1109/JSTARS.2022.3216953
6. Seasonal evolution of the supraglacial drainage network at Humboldt Glacier, northern Greenland, between 2016 and 2020 L. Rawlins et al. https://doi.org/10.5194/tc-17-4729-2023
7. Multiple remotely sensed datasets and machine learning models to predict chlorophyll-a concentration in the Nakdong River, South Korea B. Lee et al. https://doi.org/10.1007/s11356-024-35005-y
8. 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
9. Supervised classification of slush and ponded water on Antarctic ice shelves using Landsat 8 imagery R. Dell et al. https://doi.org/10.1017/jog.2021.114
10. The 32-year record-high surface melt in 2019/2020 on the northern George VI Ice Shelf, Antarctic Peninsula A. Banwell et al. https://doi.org/10.5194/tc-15-909-2021
11. Government, Premier Leader and Small Lakes’ People Vis-a-Vis Lake Governance B. Brillo https://doi.org/10.3390/socsci11040165
12. Recent understanding of Antarctic supraglacial lakes using satellite remote sensing J. Arthur et al. https://doi.org/10.1177/0309133320916114
13. An automated algorithm to retrieve the location and depth of supraglacial lakes from ICESat-2 ATL03 data W. Xiao et al. https://doi.org/10.1016/j.rse.2023.113730
14. 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
15. Resolution enhancement of SMOS brightness temperatures: Application to melt detection on the Antarctic and Greenland ice sheets P. Zeiger et al. https://doi.org/10.1016/j.rse.2024.114469
16. Off-peak NDVI correction to reconstruct Landsat time series for post-fire recovery in high-latitude forests C. Wang et al. https://doi.org/10.1016/j.jag.2022.102704
17. A new model for supraglacial hydrology evolution and drainage for the Greenland Ice Sheet (SHED v1.0) P. Gantayat et al. https://doi.org/10.5194/gmd-16-5803-2023
18. A New Method for Detecting Automated Mapping Anomalies in Himalayan Glacial Lakes from Satellite Images X. Jiang et al. https://doi.org/10.3390/rs18010061
19. Evolution of supraglacial lakes on Sermeq Avannarleq glacier, Greenland using Google Earth Engine D. Zhu et al. https://doi.org/10.1016/j.ejrh.2022.101246
20. Distribution and Evolution of Supraglacial Lakes in Greenland during the 2016–2018 Melt Seasons J. Hu et al. https://doi.org/10.3390/rs14010055
21. A decade of winter supraglacial lake drainage across Northeast Greenland using C-band SAR C. Dean et al. https://doi.org/10.5194/tc-20-1559-2026
22. Monitoring of Supraglacial Lake Distribution and Full-Year Changes Using Multisource Time-Series Satellite Imagery D. Zhu et al. https://doi.org/10.3390/rs15245726
23. A Study on the Dynamic Effects and Ecological Stress of Eco-Environment in the Headwaters of the Yangtze River Based on Improved DeepLab V3+ Network C. Wang et al. https://doi.org/10.3390/rs14092225
24. Monitoring northern Greenland proglacial river discharge from space D. Chen et al. https://doi.org/10.1016/j.rse.2024.114529
25. Greenland-wide inventory of ice marginal lakes using a multi-method approach P. How et al. https://doi.org/10.1038/s41598-021-83509-1
26. Supraglacial lake expansion, intensified lake drainage frequency, and first observation of coupled lake drainage, during 1985–2020 at Ryder Glacier, Northern Greenland J. Otto et al. https://doi.org/10.3389/feart.2022.978137
27. Supraglacial Lake Evolution over Northeast Greenland Using Deep Learning Methods K. Lutz et al. https://doi.org/10.3390/rs15174360
28. Controls on Water Storage and Drainage in Crevasses on the Greenland Ice Sheet T. Chudley et al. https://doi.org/10.1029/2021JF006287
29. Current and Near-Term Earth-Observing Environmental Satellites, Their Missions, Characteristics, Instruments, and Applications S. Ustin & E. Middleton https://doi.org/10.3390/s24113488
30. Seasonal evolution of supraglacial lakes and rivers on the southwest Greenland Ice Sheet K. Yang et al. https://doi.org/10.1017/jog.2021.10
31. Antarctic Supraglacial Lake Detection Using Landsat 8 and Sentinel-2 Imagery: Towards Continental Generation of Lake Volumes M. Moussavi et al. https://doi.org/10.3390/rs12010134
32. Lateral meltwater transfer across an Antarctic ice shelf R. Dell et al. https://doi.org/10.5194/tc-14-2313-2020
33. Winter drainage of surface lakes on the Greenland Ice Sheet from Sentinel-1 SAR imagery C. Benedek & I. Willis https://doi.org/10.5194/tc-15-1587-2021
34. 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
35. Assessing midsummer snow-free land surface albedo variability across multiple Arctic sites using the Harmonized Landsat and Sentinel-2 product J. Gottuk et al. https://doi.org/10.1016/j.srs.2025.100283
36. Brief communication: Tides and damage as drivers of lake drainages on Shackleton Ice Shelf J. Sommer et al. https://doi.org/10.5194/tc-19-5903-2025
37. Over-winter persistence of supraglacial lakes on the Greenland Ice Sheet: results and insights from a new model R. Law et al. https://doi.org/10.1017/jog.2020.7
38. Ice-sheet hydro-fracture not advanced inland by lower-elevation lake drainages in Kalaallit Nunaat L. Stevens et al. https://doi.org/10.1038/s41467-026-73033-z
39. 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
40. Challenges in predicting Greenland supraglacial lake drainages at the regional scale K. Poinar & L. Andrews https://doi.org/10.5194/tc-15-1455-2021
41. Leveraging Multi-Source Data and Digital Technology to Support the Monitoring of Localized Water Changes in the Mekong Region O. Polpanich et al. https://doi.org/10.3390/su14031739
42. 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
43. The Greenland Ice-Marginal Lake Inventory Series from 2016 to 2023 P. How et al. https://doi.org/10.5194/essd-17-6331-2025
44. Supraglacial lake bathymetry automatically derived from ICESat-2 constraining lake depth estimates from multi-source satellite imagery R. Datta & B. Wouters https://doi.org/10.5194/tc-15-5115-2021
45. Global seasonal dynamics of inland open water and ice A. Pickens et al. https://doi.org/10.1016/j.rse.2022.112963
46. Automated mucilage extraction index (AMEI): a novel spectral water index for identifying marine mucilage formations from Sentinel-2 imagery I. Colkesen et al. https://doi.org/10.1080/01431161.2022.2158049
47. 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
48. Perennial Supraglacial Lakes in Northeast Greenland Observed by Polarimetric SAR L. Schröder et al. https://doi.org/10.3390/rs12172798
49. Contrasting regional variability of buried meltwater extent over 2 years across the Greenland Ice Sheet D. Dunmire et al. https://doi.org/10.5194/tc-15-2983-2021
50. Response of supraglacial rivers and lakes to ice flow and surface melt on the northeast Greenland ice sheet during the 2017 melt season Y. Lu et al. https://doi.org/10.1016/j.jhydrol.2021.126750
51. Supraglacial lake evolution on Tracy and Heilprin Glaciers in northwestern Greenland from 2014 to 2021 Y. Wang & S. Sugiyama https://doi.org/10.1016/j.rse.2024.114006
52. Detection of Antarctic Surface Meltwater Using Sentinel-2 Remote Sensing Images via U-Net With Attention Blocks: A Case Study Over the Amery Ice Shelf L. Niu et al. https://doi.org/10.1109/TGRS.2023.3275076
53. 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
54. Fully Automated Detection of Supraglacial Lake Area for Northeast Greenland Using Sentinel-2 Time-Series P. Hochreuther et al. https://doi.org/10.3390/rs13020205
55. An inventory of supraglacial lakes and channels across the West Antarctic Ice Sheet D. Corr et al. https://doi.org/10.5194/essd-14-209-2022
56. 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
57. Recent significant subseasonal fluctuations of supraglacial lakes on Greenland monitored by passive optical satellites J. Qiu et al. https://doi.org/10.1016/j.rse.2025.114896
58. 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
59. 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
60. Monitoring Ice Phenology in Lake Wetlands Based on Optical Satellite Data: A Case Study of Wuliangsu Lake P. Huo et al. https://doi.org/10.3390/w14203307
61. Evolution of supraglacial lakes over the pan-Antarctic ice sheet between 2014 and 2022: Assessment and the control factors X. Shen et al. https://doi.org/10.1016/j.accre.2025.02.005
62. Surface meltwater runoff on the Greenland ice sheet estimated from remotely sensed supraglacial lake infilling rate K. Yang et al. https://doi.org/10.1016/j.rse.2019.111459
63. Supraglacial lake drainage at a fast-flowing Greenlandic outlet glacier T. Chudley et al. https://doi.org/10.1073/pnas.1913685116
64. A nine-year record of slush on the Greenland Ice Sheet E. Glen et al. https://doi.org/10.5194/tc-20-4345-2026
65. Meltwater ponding has an underestimated radiative effect on the surface of the Greenland Ice Sheet J. Ryan et al. https://doi.org/10.1038/s41467-025-62503-5
66. Ice Monitoring in Swiss Lakes from Optical Satellites and Webcams Using Machine Learning M. Tom et al. https://doi.org/10.3390/rs12213555
67. Surface processes darkening the southwestern ice sheet of Kalaallit Nunaat (Greenland) L. Chevrollier et al. https://doi.org/10.1126/sciadv.ady9482
68. The Effect of Suspended Particulate Matter on the Supraglacial Lake Depth Retrieval from Optical Data L. Brodský et al. https://doi.org/10.3390/rs14235988
69. Monitoring of the Rehabilitation of the Historic World War II US Air Force Base in Greenland T. Bouček et al. https://doi.org/10.3390/rs15174323
70. Landsat- and Sentinel-derived glacial lake dataset in the China–Pakistan Economic Corridor from 1990 to 2020 M. Lesi et al. https://doi.org/10.5194/essd-14-5489-2022
71. ICESat‐2 Meltwater Depth Estimates: Application to Surface Melt on Amery Ice Shelf, East Antarctica H. Fricker et al. https://doi.org/10.1029/2020GL090550
72. Multi-sensor imaging of winter buried lakes in the Greenland Ice Sheet L. Zheng et al. https://doi.org/10.1016/j.rse.2023.113688
73. Automatic Extraction of Supraglacial Lakes in Southwest Greenland during the 2014–2018 Melt Seasons Based on Convolutional Neural Network J. Yuan et al. https://doi.org/10.3390/w12030891
74. Hydrological and Kinematic Precursors of the 2017 Calving Event at the Petermann Glacier in Greenland Observed from Multi-Source Remote Sensing Data D. Li et al. https://doi.org/10.3390/rs13040591