Articles | Volume 6, issue 2
https://doi.org/10.5194/tc-6-235-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/tc-6-235-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
08 Mar 2012
Research article |
| 08 Mar 2012
Estimating ice phenology on large northern lakes from AMSR-E: algorithm development and application to Great Bear Lake and Great Slave Lake, Canada
K.-K. Kang
Interdisciplinary Centre on Climate Change (IC3), University of Waterloo, Waterloo, Ontario N2L 3G1, Canada
Department of Geography and Environmental Management, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada
C. R. Duguay
Interdisciplinary Centre on Climate Change (IC3), University of Waterloo, Waterloo, Ontario N2L 3G1, Canada
Department of Geography and Environmental Management, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada
S. E. L. Howell
Climate Research Division, Environment Canada, 4905 Dufferin Street, Toronto, Ontario M3H 5T4, Canada
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Cited
45 citations as recorded by crossref.
- Lake ice phenology of Nam Co, Central Tibetan Plateau, China, derived from multiple MODIS data products P. Gou et al. 10.1016/j.jglr.2017.08.011
- Integrating Perspectives to Understand Lake Ice Dynamics in a Changing World S. Sharma et al. 10.1029/2020JG005799
- Retrievals of Lake Ice Thickness From Great Slave Lake and Great Bear Lake Using CryoSat-2 J. Beckers et al. 10.1109/TGRS.2017.2677583
- 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
- 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
- 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
- Modelling Lake Ice Phenology with an Examination of Satellite-Detected Subgrid Cell Variability L. Brown & C. Duguay 10.1155/2012/529064
- 50 years of lake ice research from active microwave remote sensing: Progress and prospects J. Murfitt & C. Duguay 10.1016/j.rse.2021.112616
- Evaluation of the Interactive Multisensor Snow and Ice Mapping System (IMS) for monitoring sea ice phenology L. Brown et al. 10.1016/j.rse.2014.02.012
- Climatology of snow phenology over the Tibetan plateau for the period 2001–2014 using multisource data X. Chen et al. 10.1002/joc.5455
- Uncertainty and Variation of Remotely Sensed Lake Ice Phenology across the Tibetan Plateau L. Guo et al. 10.3390/rs10101534
- 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
- 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
- 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
- Multi-sensor detection of spring breakup phenology of Canada's lakes X. Giroux-Bougard et al. 10.1016/j.rse.2023.113656
- An Automatic Method to Detect Lake Ice Phenology Using MODIS Daily Temperature Imagery X. Zhang et al. 10.3390/rs13142711
- 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
- Potential of GNSS-R for the Monitoring of Lake Ice Phenology Y. Ghiasi et al. 10.1109/JSTARS.2023.3330745
- Remote Sensing of Environmental Changes in Cold Regions: Methods, Achievements and Challenges J. Du et al. 10.3390/rs11161952
- 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
- <bold>2000</bold><bold>~</bold><bold>2023</bold>年蒙古高原湖冰物候变化<bold>、</bold>归因分析以及基于<bold>CMIP6</bold>和机器学习的未来情景预估 长. 柯 et al. 10.1360/N072024-0384
- Approximation of ice phenology of Maine lakes using Aqua MODIS surface temperature data S. Skoglund et al. 10.1002/ecs2.70000
- Satellite microwave assessment of Northern Hemisphere lake ice phenology from 2002 to 2015 J. Du et al. 10.5194/tc-11-47-2017
- Responses of Lake Ice Phenology to Climate Change at Tibetan Plateau L. Guo et al. 10.1109/JSTARS.2020.3006270
- 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
- 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
- Lake Ice Phenology Extraction using Machine Learning Methodology P. Xie et al. 10.1088/1755-1315/502/1/012034
- A lake ice phenology dataset for the Northern Hemisphere based on passive microwave remote sensing X. Wang et al. 10.1080/20964471.2021.1992916
- 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
- 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
- Recent Ice Trends in Swiss Mountain Lakes: 20-year Analysis of MODIS Imagery M. Tom et al. 10.1007/s41064-022-00215-x
- Rapidly increasing cyanobacteria blooms in the subarctic Great Slave Lake: observations from Indigenous, local, and scientific knowledge J. Cederwall & P. Cott 10.1038/s41598-025-07432-5
- 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
- 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
- Assessing Ice Break-Up Trends in Slave River Delta through Satellite Observations and Random Forest Modeling I. Moalemi et al. 10.3390/rs16122244
- Investigating the Influence of Variable Freshwater Ice Types on Passive and Active Microwave Observations G. Gunn et al. 10.3390/rs9121242
- Forward modelling of synthetic aperture radar backscatter from lake ice over Canadian Subarctic Lakes J. Murfitt et al. 10.1016/j.rse.2022.113424
- 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
- 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
- Analysis of Changes in the Ice Cover of Freshwater Lakes by SMOS data V. Tikhonov et al. 10.1134/S0001433818090384
- Contrasting Lake Ice Phenology Changes in the Qinghai–Tibet Plateau Revealed by Remote Sensing C. Xiong et al. 10.1109/LGRS.2020.3013410
- 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
- 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
- Changes and attribution in lake ice phenology on the Mongolian Plateau from 2000 to 2023 and its future scenario projection based on CMIP6 and machine learning C. Ke et al. 10.1007/s11430-024-1614-y
- Seasonal Temperature and Circulation Patterns in a Hybrid Polar Lake, Great Bear Lake, Canada E. Carmack et al. 10.1029/2024JF007650
44 citations as recorded by crossref.
- Lake ice phenology of Nam Co, Central Tibetan Plateau, China, derived from multiple MODIS data products P. Gou et al. 10.1016/j.jglr.2017.08.011
- Integrating Perspectives to Understand Lake Ice Dynamics in a Changing World S. Sharma et al. 10.1029/2020JG005799
- Retrievals of Lake Ice Thickness From Great Slave Lake and Great Bear Lake Using CryoSat-2 J. Beckers et al. 10.1109/TGRS.2017.2677583
- 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
- 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
- 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
- Modelling Lake Ice Phenology with an Examination of Satellite-Detected Subgrid Cell Variability L. Brown & C. Duguay 10.1155/2012/529064
- 50 years of lake ice research from active microwave remote sensing: Progress and prospects J. Murfitt & C. Duguay 10.1016/j.rse.2021.112616
- Evaluation of the Interactive Multisensor Snow and Ice Mapping System (IMS) for monitoring sea ice phenology L. Brown et al. 10.1016/j.rse.2014.02.012
- Climatology of snow phenology over the Tibetan plateau for the period 2001–2014 using multisource data X. Chen et al. 10.1002/joc.5455
- Uncertainty and Variation of Remotely Sensed Lake Ice Phenology across the Tibetan Plateau L. Guo et al. 10.3390/rs10101534
- 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
- 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
- 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
- Multi-sensor detection of spring breakup phenology of Canada's lakes X. Giroux-Bougard et al. 10.1016/j.rse.2023.113656
- An Automatic Method to Detect Lake Ice Phenology Using MODIS Daily Temperature Imagery X. Zhang et al. 10.3390/rs13142711
- 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
- Potential of GNSS-R for the Monitoring of Lake Ice Phenology Y. Ghiasi et al. 10.1109/JSTARS.2023.3330745
- Remote Sensing of Environmental Changes in Cold Regions: Methods, Achievements and Challenges J. Du et al. 10.3390/rs11161952
- 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
- <bold>2000</bold><bold>~</bold><bold>2023</bold>年蒙古高原湖冰物候变化<bold>、</bold>归因分析以及基于<bold>CMIP6</bold>和机器学习的未来情景预估 长. 柯 et al. 10.1360/N072024-0384
- Approximation of ice phenology of Maine lakes using Aqua MODIS surface temperature data S. Skoglund et al. 10.1002/ecs2.70000
- Satellite microwave assessment of Northern Hemisphere lake ice phenology from 2002 to 2015 J. Du et al. 10.5194/tc-11-47-2017
- Responses of Lake Ice Phenology to Climate Change at Tibetan Plateau L. Guo et al. 10.1109/JSTARS.2020.3006270
- 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
- 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
- Lake Ice Phenology Extraction using Machine Learning Methodology P. Xie et al. 10.1088/1755-1315/502/1/012034
- A lake ice phenology dataset for the Northern Hemisphere based on passive microwave remote sensing X. Wang et al. 10.1080/20964471.2021.1992916
- 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
- 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
- Recent Ice Trends in Swiss Mountain Lakes: 20-year Analysis of MODIS Imagery M. Tom et al. 10.1007/s41064-022-00215-x
- Rapidly increasing cyanobacteria blooms in the subarctic Great Slave Lake: observations from Indigenous, local, and scientific knowledge J. Cederwall & P. Cott 10.1038/s41598-025-07432-5
- 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
- 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
- Assessing Ice Break-Up Trends in Slave River Delta through Satellite Observations and Random Forest Modeling I. Moalemi et al. 10.3390/rs16122244
- Investigating the Influence of Variable Freshwater Ice Types on Passive and Active Microwave Observations G. Gunn et al. 10.3390/rs9121242
- Forward modelling of synthetic aperture radar backscatter from lake ice over Canadian Subarctic Lakes J. Murfitt et al. 10.1016/j.rse.2022.113424
- 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
- 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
- Analysis of Changes in the Ice Cover of Freshwater Lakes by SMOS data V. Tikhonov et al. 10.1134/S0001433818090384
- Contrasting Lake Ice Phenology Changes in the Qinghai–Tibet Plateau Revealed by Remote Sensing C. Xiong et al. 10.1109/LGRS.2020.3013410
- 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
- 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
- Changes and attribution in lake ice phenology on the Mongolian Plateau from 2000 to 2023 and its future scenario projection based on CMIP6 and machine learning C. Ke et al. 10.1007/s11430-024-1614-y
1 citations as recorded by crossref.
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