Articles | Volume 15, issue 12
https://doi.org/10.5194/tc-15-5387-2021
© Author(s) 2021. 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-15-5387-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
07 Dec 2021
Research article |
| 07 Dec 2021
| 07 Dec 2021
River ice phenology and thickness from satellite altimetry: potential for ice bridge road operation and climate studies
Elena Zakharova
CORRESPONDING AUTHOR
Water Problems Institute, Russian Academy of Science, Moscow, Russia
EOLA, Toulouse, France
Svetlana Agafonova
Department of Land Hydrology, Moscow State University, Moscow, Russia
Claude Duguay
Department of Geography and Environmental Management, University of Waterloo, Waterloo, Canada
H2O Geomatics, Waterloo, Canada
Natalia Frolova
Department of Land Hydrology, Moscow State University, Moscow, Russia
Alexei Kouraev
LEGOS, Université de Toulouse, CNES, CNRS, IRD, UPS, Toulouse, France
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Cited
18 citations as recorded by crossref.
- River ice monitoring of the Danube and Tisza rivers using Sentinel-1 radar data L. van et al. 10.5937/gp26-39962
- 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
- A Dual-Threshold Algorithm for Ice-Covered Lake Water Level Retrieval Using Sentinel-3 SAR Altimetry Waveforms F. Tang et al. 10.3390/s23249724
- A hydraulic model of the Amur River informed by ICESat-2 elevation P. Bauer-Gottwein et al. 10.1080/02626667.2023.2245811
- Establishment of icing prediction model of asphalt pavement based on support vector regression algorithm and Bayesian optimization E. Yang et al. 10.1016/j.conbuildmat.2022.128955
- Water Level Regime of Arctic Rivers according to Modeling and Satellite Measurements E. Zakharova et al. 10.3103/S1068373923120087
- A Survey Method for Drift Ice Characteristics of the Yellow River Based on Shore-Based Oblique Images C. Li et al. 10.3390/w15162923
- Monitoring of Hydrological Resources in Surface Water Change by Satellite Altimetry W. Li et al. 10.3390/rs14194904
- Lake Ice Thickness Retrieval Method with ICESat-2-Assisted CyroSat-2 Echo Peak Selection H. Ye et al. 10.3390/rs16030546
- Remote Sensing and Modeling of the Cryosphere in High Mountain Asia: A Multidisciplinary Review Q. Ye et al. 10.3390/rs16101709
- Review of River Ice Observation and Data Analysis Technologies I. Zakharov et al. 10.3390/hydrology11080126
- Determination of ice cover thickness using compression standing waves K. Fedin et al. 10.1016/j.coldregions.2022.103552
- Spatial-temporal variation of river ice coverage in the Yenisei river from 2002 to 2021 Y. Zhang et al. 10.1016/j.jhydrol.2024.131440
- A Google Earth Engine Platform to Integrate Multi-Satellite and Citizen Science Data for the Monitoring of River Ice Dynamics M. Abdelkader et al. 10.3390/rs16081368
- Ice thickness and water level estimation for ice-covered lakes with satellite altimetry waveforms and backscattering coefficients X. Li et al. 10.5194/tc-17-349-2023
- Observations of River Ice Breakup Using GNSS-IR, SAR, and Machine Learning D. Purnell et al. 10.1109/TGRS.2024.3380554
- Giant ice rings in southern Baikal: multi-satellite data help to study ice cover dynamics and eddies under ice A. Kouraev et al. 10.5194/tc-15-4501-2021
- Inferring Lake Ice Status Using ICESat-2 Photon Data G. Dandabathula et al. 10.1007/s41976-022-00067-4
16 citations as recorded by crossref.
- River ice monitoring of the Danube and Tisza rivers using Sentinel-1 radar data L. van et al. 10.5937/gp26-39962
- 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
- A Dual-Threshold Algorithm for Ice-Covered Lake Water Level Retrieval Using Sentinel-3 SAR Altimetry Waveforms F. Tang et al. 10.3390/s23249724
- A hydraulic model of the Amur River informed by ICESat-2 elevation P. Bauer-Gottwein et al. 10.1080/02626667.2023.2245811
- Establishment of icing prediction model of asphalt pavement based on support vector regression algorithm and Bayesian optimization E. Yang et al. 10.1016/j.conbuildmat.2022.128955
- Water Level Regime of Arctic Rivers according to Modeling and Satellite Measurements E. Zakharova et al. 10.3103/S1068373923120087
- A Survey Method for Drift Ice Characteristics of the Yellow River Based on Shore-Based Oblique Images C. Li et al. 10.3390/w15162923
- Monitoring of Hydrological Resources in Surface Water Change by Satellite Altimetry W. Li et al. 10.3390/rs14194904
- Lake Ice Thickness Retrieval Method with ICESat-2-Assisted CyroSat-2 Echo Peak Selection H. Ye et al. 10.3390/rs16030546
- Remote Sensing and Modeling of the Cryosphere in High Mountain Asia: A Multidisciplinary Review Q. Ye et al. 10.3390/rs16101709
- Review of River Ice Observation and Data Analysis Technologies I. Zakharov et al. 10.3390/hydrology11080126
- Determination of ice cover thickness using compression standing waves K. Fedin et al. 10.1016/j.coldregions.2022.103552
- Spatial-temporal variation of river ice coverage in the Yenisei river from 2002 to 2021 Y. Zhang et al. 10.1016/j.jhydrol.2024.131440
- A Google Earth Engine Platform to Integrate Multi-Satellite and Citizen Science Data for the Monitoring of River Ice Dynamics M. Abdelkader et al. 10.3390/rs16081368
- Ice thickness and water level estimation for ice-covered lakes with satellite altimetry waveforms and backscattering coefficients X. Li et al. 10.5194/tc-17-349-2023
- Observations of River Ice Breakup Using GNSS-IR, SAR, and Machine Learning D. Purnell et al. 10.1109/TGRS.2024.3380554
Latest update: 17 Nov 2024
Short summary
The paper investigates the performance of altimetric satellite instruments to detect river ice onset and melting dates and to retrieve ice thickness of the Ob River. This is a first attempt to use satellite altimetry for monitoring ice in the challenging conditions restrained by the object size. A novel approach permitted elaboration of the spatiotemporal ice thickness product for the 400 km river reach. The potential of the product for prediction of ice road operation was demonstrated.
The paper investigates the performance of altimetric satellite instruments to detect river ice...
