42 citations as recorded by crossref.

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4. Analysis of Sentinel-3 SAR altimetry waveform retracking algorithms for deriving temporally consistent water levels over ice-covered lakes S. Shu et al. 10.1016/j.rse.2020.111643
5. River ice phenology and thickness from satellite altimetry: potential for ice bridge road operation and climate studies E. Zakharova et al. 10.5194/tc-15-5387-2021
6. Reconstructing ice phenology of a lake with complex surface cover: a case study of Lake Ulansu during 1941–2023 P. Huo et al. 10.5194/tc-19-849-2025
7. Modelling Lake Ice Phenology with an Examination of Satellite-Detected Subgrid Cell Variability L. Brown & C. Duguay 10.1155/2012/529064
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10. Climatology of snow phenology over the Tibetan plateau for the period 2001–2014 using multisource data X. Chen et al. 10.1002/joc.5455
11. Uncertainty and Variation of Remotely Sensed Lake Ice Phenology across the Tibetan Plateau L. Guo et al. 10.3390/rs10101534
12. Impact of satellite-based lake surface observations on the initial state of HIRLAM. Part II: Analysis of lake surface temperature and ice cover H. Pour et al. 10.3402/tellusa.v66.21395
13. Lake ice phenology from AVHRR data for European lakes: An automated two-step extraction method H. Weber et al. 10.1016/j.rse.2015.12.014
14. Fine-Resolution Mapping of Pan-Arctic Lake Ice-Off Phenology Based on Dense Sentinel-2 Time Series Data C. Liu et al. 10.3390/rs13142742
15. Multi-sensor detection of spring breakup phenology of Canada's lakes X. Giroux-Bougard et al. 10.1016/j.rse.2023.113656
16. An Automatic Method to Detect Lake Ice Phenology Using MODIS Daily Temperature Imagery X. Zhang et al. 10.3390/rs13142711
17. Variations in the Ice Phenology and Water Level of Ayakekumu Lake, Tibetan Plateau, Derived from MODIS and Satellite Altimetry Data J. Chen et al. 10.1007/s12524-018-0824-9
18. Potential of GNSS-R for the Monitoring of Lake Ice Phenology Y. Ghiasi et al. 10.1109/JSTARS.2023.3330745
19. Remote Sensing of Environmental Changes in Cold Regions: Methods, Achievements and Challenges J. Du et al. 10.3390/rs11161952
20. Theoretical study of ice cover phenology at large freshwater lakes based on SMOS MIRAS data V. Tikhonov et al. 10.5194/tc-12-2727-2018
21. Approximation of ice phenology of Maine lakes using Aqua MODIS surface temperature data S. Skoglund et al. 10.1002/ecs2.70000
22. Satellite microwave assessment of Northern Hemisphere lake ice phenology from 2002 to 2015 J. Du et al. 10.5194/tc-11-47-2017
23. Responses of Lake Ice Phenology to Climate Change at Tibetan Plateau L. Guo et al. 10.1109/JSTARS.2020.3006270
24. Variation in Ice Phenology of Large Lakes over the Northern Hemisphere Based on Passive Microwave Remote Sensing Data L. Su et al. 10.3390/rs13071389
25. Comparison to Changes of Lake Ice Phenology and Air Temperature over Northern Europe, Tibetan Plateau and Mongolian Plateau W. Xingxing et al. 10.1088/1755-1315/502/1/012033
26. Lake Ice Phenology Extraction using Machine Learning Methodology P. Xie et al. 10.1088/1755-1315/502/1/012034
27. A lake ice phenology dataset for the Northern Hemisphere based on passive microwave remote sensing X. Wang et al. 10.1080/20964471.2021.1992916
28. Assessment of machine learning classifiers for global lake ice cover mapping from MODIS TOA reflectance data Y. Wu et al. 10.1016/j.rse.2020.112206
29. Monitoring ice variations in Qinghai Lake from 1979 to 2016 using passive microwave remote sensing data Y. Cai et al. 10.1016/j.scitotenv.2017.07.027
30. Recent Ice Trends in Swiss Mountain Lakes: 20-year Analysis of MODIS Imagery M. Tom et al. 10.1007/s41064-022-00215-x
31. Estimation of ice thickness on large northern lakes from AMSR-E brightness temperature measurements K. Kang et al. 10.1016/j.rse.2014.04.016
32. Machine learning based classification of lake ice and open water from Sentinel-3 SAR altimetry waveforms J. Mugunthan et al. 10.1016/j.rse.2023.113891
33. Assessing Ice Break-Up Trends in Slave River Delta through Satellite Observations and Random Forest Modeling I. Moalemi et al. 10.3390/rs16122244
34. Investigating the Influence of Variable Freshwater Ice Types on Passive and Active Microwave Observations G. Gunn et al. 10.3390/rs9121242
35. Forward modelling of synthetic aperture radar backscatter from lake ice over Canadian Subarctic Lakes J. Murfitt et al. 10.1016/j.rse.2022.113424
36. A dataset of lake ice phenology in Northeast China from 2000 to 2022 C. WANG et al. 10.11922/11-6035.ncdc.2024.0001.zh
37. Freshwater lake ice thickness derived using surface-based X- and Ku-band FMCW scatterometers G. Gunn et al. 10.1016/j.coldregions.2015.09.012
38. Analysis of Changes in the Ice Cover of Freshwater Lakes by SMOS data V. Tikhonov et al. 10.1134/S0001433818090384
39. Contrasting Lake Ice Phenology Changes in the Qinghai–Tibet Plateau Revealed by Remote Sensing C. Xiong et al. 10.1109/LGRS.2020.3013410
40. A 41-year (1979–2019) passive-microwave-derived lake ice phenology data record of the Northern Hemisphere Y. Cai et al. 10.5194/essd-14-3329-2022
41. Ice Freeze‐Up and Break‐Up in Arctic Rivers Observed With Satellite L‐Band Passive Microwave Data From 2010 to 2020 A. Podkowa et al. 10.1029/2022WR031939
42. Seasonal Temperature and Circulation Patterns in a Hybrid Polar Lake, Great Bear Lake, Canada E. Carmack et al. 10.1029/2024JF007650