Articles | Volume 16, issue 3
https://doi.org/10.5194/tc-16-1125-2022
© Author(s) 2022. 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-16-1125-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
31 Mar 2022
Research article |
| 31 Mar 2022
| 31 Mar 2022
Generating large-scale sea ice motion from Sentinel-1 and the RADARSAT Constellation Mission using the Environment and Climate Change Canada automated sea ice tracking system
Stephen E. L. Howell
CORRESPONDING AUTHOR
Climate Research Division, Environment and Climate Change Canada,
Toronto, Canada
Mike Brady
Climate Research Division, Environment and Climate Change Canada,
Toronto, Canada
Alexander S. Komarov
Meteorological Research Division, Environment and Climate Change
Canada, Ottawa, Canada
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Cited
23 citations as recorded by crossref.
- Daily Prediction of Sea Ice Drift at Kilometer-Scale Using Deep-Learning Method J. Ren et al. https://doi.org/10.1109/JSTARS.2025.3617067
- Improvement of Sea Ice Drift Extraction Based on Feature Tracking from C-SAR/01 Imagery Y. Yang et al. https://doi.org/10.1109/JSTARS.2024.3403919
- Self-SIDNet: A Self-Supervised Network for Winter Arctic Sea Ice Drift Extraction From AMSR2 Passive Microwave Data P. Jiang et al. https://doi.org/10.1109/JSTARS.2026.3697119
- Near sea ice-free conditions in the northern route of the Northwest Passage at the end of the 2024 melt season S. Howell et al. https://doi.org/10.5194/tc-19-6711-2025
- A Framework for Fine-Resolution and Spatially Continuous Arctic Sea Ice Drift Retrieval Using Multisensor Data X. Wang et al. https://doi.org/10.1109/TGRS.2024.3394882
- Retrieval of Arctic Sea Ice Motion from FY-3D/MWRI Brightness Temperature Data H. Chen et al. https://doi.org/10.3390/rs15174191
- Novel methods to study sea ice deformation, linear kinematic features and coherent dynamic clusters from imaging remote sensing data P. Itkin https://doi.org/10.5194/tc-19-1135-2025
- An explainable optical flow network for arctic sea ice drift extraction from multi-frequency AMSR2 passive microwave data P. Jiang et al. https://doi.org/10.1080/15481603.2026.2697124
- The role of cross-polarization in producing high-resolution pan-Arctic sea ice motion from the RADARSAT Constellation Mission over several years A. Komarov et al. https://doi.org/10.1016/j.rse.2025.115175
- Estimating Winter Arctic Sea Ice Motion Based on Random Forest Models L. Zhang et al. https://doi.org/10.3390/rs16030581
- Sea ice transport and replenishment across and within the Canadian Arctic Archipelago, 2016–2022 S. Howell et al. https://doi.org/10.5194/tc-18-2321-2024
- Arctic sea ice motion retrieval from multisource SAR images using a keypoint-free feature tracking algorithm T. Gao et al. https://doi.org/10.1016/j.isprsjprs.2025.09.013
- A long-term proxy for sea ice thickness in the Canadian Arctic: 1996–2020 I. Glissenaar et al. https://doi.org/10.5194/tc-17-3269-2023
- A Comparison of Arctic Ocean Sea Ice Export Between Nares Strait and the Canadian Arctic Archipelago S. Howell et al. https://doi.org/10.1029/2023JC019687
- Observation-constrained explainable reconstruction of Antarctic sea ice snow depth reveals strong regional asymmetry during 1993–2021 Y. CAO et al. https://doi.org/10.1016/j.accre.2026.07.008
- A sea ice deformation and rotation rate dataset (2017–2023) from the Environment and Climate Change Canada automated sea ice tracking system (ECCC-ASITS) M. Plante et al. https://doi.org/10.5194/essd-17-423-2025
- Drift-aware sea ice thickness maps from satellite remote sensing R. Ricker et al. https://doi.org/10.5194/tc-19-3785-2025
- A Hausdorff-guided deep learning approach for tracking the motion of rotating Arctic ice floes A. Wu et al. https://doi.org/10.1016/j.oceaneng.2026.127007
- Pan-Arctic sea ice drift data at 400 m grids based on spaceborne SAR Y. Qiu & X. Li https://doi.org/10.1038/s41597-026-06683-9
- Arctic sea ice motion retrieval via vision foundation model and cross-sensor SAR T. Gao et al. https://doi.org/10.1016/j.isprsjprs.2026.06.041
- Lead fractions from SAR-derived sea ice divergence during MOSAiC L. von Albedyll et al. https://doi.org/10.5194/tc-18-1259-2024
- Incidence Angle Dependencies for C-Band Backscatter From Sea Ice During Both the Winter and Melt Season T. Geldsetzer & S. Howell https://doi.org/10.1109/TGRS.2023.3315056
- Representation of sea ice regimes in the Western Ross Sea, Antarctica, based on satellite imagery and AMPS wind data U. Farooq et al. https://doi.org/10.1007/s00382-022-06319-9
23 citations as recorded by crossref.
- Daily Prediction of Sea Ice Drift at Kilometer-Scale Using Deep-Learning Method J. Ren et al. https://doi.org/10.1109/JSTARS.2025.3617067
- Improvement of Sea Ice Drift Extraction Based on Feature Tracking from C-SAR/01 Imagery Y. Yang et al. https://doi.org/10.1109/JSTARS.2024.3403919
- Self-SIDNet: A Self-Supervised Network for Winter Arctic Sea Ice Drift Extraction From AMSR2 Passive Microwave Data P. Jiang et al. https://doi.org/10.1109/JSTARS.2026.3697119
- Near sea ice-free conditions in the northern route of the Northwest Passage at the end of the 2024 melt season S. Howell et al. https://doi.org/10.5194/tc-19-6711-2025
- A Framework for Fine-Resolution and Spatially Continuous Arctic Sea Ice Drift Retrieval Using Multisensor Data X. Wang et al. https://doi.org/10.1109/TGRS.2024.3394882
- Retrieval of Arctic Sea Ice Motion from FY-3D/MWRI Brightness Temperature Data H. Chen et al. https://doi.org/10.3390/rs15174191
- Novel methods to study sea ice deformation, linear kinematic features and coherent dynamic clusters from imaging remote sensing data P. Itkin https://doi.org/10.5194/tc-19-1135-2025
- An explainable optical flow network for arctic sea ice drift extraction from multi-frequency AMSR2 passive microwave data P. Jiang et al. https://doi.org/10.1080/15481603.2026.2697124
- The role of cross-polarization in producing high-resolution pan-Arctic sea ice motion from the RADARSAT Constellation Mission over several years A. Komarov et al. https://doi.org/10.1016/j.rse.2025.115175
- Estimating Winter Arctic Sea Ice Motion Based on Random Forest Models L. Zhang et al. https://doi.org/10.3390/rs16030581
- Sea ice transport and replenishment across and within the Canadian Arctic Archipelago, 2016–2022 S. Howell et al. https://doi.org/10.5194/tc-18-2321-2024
- Arctic sea ice motion retrieval from multisource SAR images using a keypoint-free feature tracking algorithm T. Gao et al. https://doi.org/10.1016/j.isprsjprs.2025.09.013
- A long-term proxy for sea ice thickness in the Canadian Arctic: 1996–2020 I. Glissenaar et al. https://doi.org/10.5194/tc-17-3269-2023
- A Comparison of Arctic Ocean Sea Ice Export Between Nares Strait and the Canadian Arctic Archipelago S. Howell et al. https://doi.org/10.1029/2023JC019687
- Observation-constrained explainable reconstruction of Antarctic sea ice snow depth reveals strong regional asymmetry during 1993–2021 Y. CAO et al. https://doi.org/10.1016/j.accre.2026.07.008
- A sea ice deformation and rotation rate dataset (2017–2023) from the Environment and Climate Change Canada automated sea ice tracking system (ECCC-ASITS) M. Plante et al. https://doi.org/10.5194/essd-17-423-2025
- Drift-aware sea ice thickness maps from satellite remote sensing R. Ricker et al. https://doi.org/10.5194/tc-19-3785-2025
- A Hausdorff-guided deep learning approach for tracking the motion of rotating Arctic ice floes A. Wu et al. https://doi.org/10.1016/j.oceaneng.2026.127007
- Pan-Arctic sea ice drift data at 400 m grids based on spaceborne SAR Y. Qiu & X. Li https://doi.org/10.1038/s41597-026-06683-9
- Arctic sea ice motion retrieval via vision foundation model and cross-sensor SAR T. Gao et al. https://doi.org/10.1016/j.isprsjprs.2026.06.041
- Lead fractions from SAR-derived sea ice divergence during MOSAiC L. von Albedyll et al. https://doi.org/10.5194/tc-18-1259-2024
- Incidence Angle Dependencies for C-Band Backscatter From Sea Ice During Both the Winter and Melt Season T. Geldsetzer & S. Howell https://doi.org/10.1109/TGRS.2023.3315056
- Representation of sea ice regimes in the Western Ross Sea, Antarctica, based on satellite imagery and AMPS wind data U. Farooq et al. https://doi.org/10.1007/s00382-022-06319-9
Saved (final revised paper)
Latest update: 27 Jul 2026
Short summary
We describe, apply, and validate the Environment and Climate Change Canada automated sea ice tracking system (ECCC-ASITS) that routinely generates large-scale sea ice motion (SIM) over the pan-Arctic domain using synthetic aperture radar (SAR) images. The ECCC-ASITS was applied to the incoming image streams of Sentinel-1AB and the RADARSAT Constellation Mission from March 2020 to October 2021 using a total of 135 471 SAR images and generated new SIM datasets (i.e., 7 d 25 km and 3 d 6.25 km).
We describe, apply, and validate the Environment and Climate Change Canada automated sea ice...
