Articles | Volume 10, issue 2
https://doi.org/10.5194/tc-10-913-2016
© Author(s) 2016. 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-10-913-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
26 Apr 2016
Research article |
| 26 Apr 2016
Open-source feature-tracking algorithm for sea ice drift retrieval from Sentinel-1 SAR imagery
Stefan Muckenhuber
CORRESPONDING AUTHOR
Nansen Environmental and Remote Sensing Center (NERSC), Thormøhlensgate 47, 5006 Bergen, Norway
Anton Andreevich Korosov
Nansen Environmental and Remote Sensing Center (NERSC), Thormøhlensgate 47, 5006 Bergen, Norway
Stein Sandven
Nansen Environmental and Remote Sensing Center (NERSC), Thormøhlensgate 47, 5006 Bergen, Norway
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Cited
36 citations as recorded by crossref.
- Efficient Thermal Noise Removal for Sentinel-1 TOPSAR Cross-Polarization Channel J. Park et al. 10.1109/TGRS.2017.2765248
- Enhanced Delaunay Triangulation Sea Ice Tracking Algorithm with Combining Feature Tracking and Pattern Matching M. Zhang et al. 10.3390/rs12030581
- Ocean Eddy Signature on SAR‐Derived Sea Ice Drift and Vorticity A. Cassianides et al. 10.1029/2020GL092066
- A Framework for Fine-Resolution and Spatially Continuous Arctic Sea Ice Drift Retrieval Using Multisensor Data X. Wang et al. 10.1109/TGRS.2024.3394882
- Partial Shape Recognition for Sea Ice Motion Retrieval in the Marginal Ice Zone from Sentinel-1 and Sentinel-2 M. Wang et al. 10.3390/rs13214473
- Sea ice export through the Fram Strait derived from a combined model and satellite data set C. Min et al. 10.5194/tc-13-3209-2019
- An improved optical flow method to estimate Arctic sea ice velocity (winter 2014–2016) H. Li et al. 10.1007/s13131-021-1867-2
- Ice Floe Tracker: An algorithm to automatically retrieve Lagrangian trajectories via feature matching from moderate-resolution visual imagery R. Lopez-Acosta et al. 10.1016/j.rse.2019.111406
- Long-Term Analysis of Sea Ice Drift in the Western Ross Sea, Antarctica, at High and Low Spatial Resolution U. Farooq et al. 10.3390/rs12091402
- Improvement of the feature tracking and patter matching algorithm for sea ice motion retrieval from SAR and optical imagery M. Li et al. 10.1016/j.jag.2022.102908
- Development of a Novel Sea Ice Drift Detection Algorithm (SIDDA) Using SAR Data P. Joshi et al. 10.1007/s12524-025-02118-x
- A Combination of Feature Tracking and Pattern Matching with Optimal Parametrization for Sea Ice Drift Retrieval from SAR Data A. Korosov & P. Rampal 10.3390/rs9030258
- Evaluating Landfast Sea Ice Ridging near UtqiaġVik Alaska Using TanDEM-X Interferometry M. Marbouti et al. 10.3390/rs12081247
- On the Detection and Long-Term Path Visualisation of A-68 Iceberg L. Lopez-Lopez et al. 10.3390/rs13030460
- Sea Ice Drift Tracking From Sequential SAR Images Using Accelerated-KAZE Features D. Demchev et al. 10.1109/TGRS.2017.2703084
- Estimating statistical errors in retrievals of ice velocity and deformation parameters from satellite images and buoy arrays W. Dierking et al. 10.5194/tc-14-2999-2020
- Application of the Combined Feature Tracking and Maximum Cross-Correlation Algorithm to the Extraction of Sea Ice Motion Data From GF-3 Imagery M. Li et al. 10.1109/JSTARS.2022.3166897
- A Method to Improve High-Resolution Sea Ice Drift Retrievals in the Presence of Deformation Zones J. Griebel & W. Dierking 10.3390/rs9070718
- Retrieval of Sea Ice Drift From the Central Arctic to the Fram Strait Based on Sequential Sentinel-1 SAR Data Y. Qiu & X. Li 10.1109/TGRS.2022.3226223
- An adaptive machine learning approach to improve automatic iceberg detection from SAR images M. Barbat et al. 10.1016/j.isprsjprs.2019.08.015
- Improvement of Sea Ice Drift Extraction Based on Feature Tracking from C-SAR/01 Imagery Y. Yang et al. 10.1109/JSTARS.2024.3403919
- Extraction of Sea Ice Cover by Sentinel-1 SAR Based on Support Vector Machine With Unsupervised Generation of Training Data X. Li et al. 10.1109/TGRS.2020.3007789
- An improvement in accuracy and spatial resolution of the pattern-matching sea ice drift from SAR imagery X. Wang et al. 10.1080/17538947.2023.2264918
- Open-source sea ice drift algorithm for Sentinel-1 SAR imagery using a combination of feature tracking and pattern matching S. Muckenhuber & S. Sandven 10.5194/tc-11-1835-2017
- Unsupervised domain adaptive object detection for assembly quality inspection X. Zhu et al. 10.1016/j.procir.2022.09.038
- Automated retrieval of internal wave phase speed and direction from pairs of SAR images with different look directions S. Furtney et al. 10.1016/j.rse.2024.114084
- Application of Feature Tracking Using K-Nearest-Neighbor Vector Field Consensus in Sea Ice Tracking B. He et al. 10.1109/JSTARS.2022.3178117
- Towards a swath-to-swath sea-ice drift product for the Copernicus Imaging Microwave Radiometer mission T. Lavergne et al. 10.5194/tc-15-3681-2021
- Impact of Sea Ice Drift Retrieval Errors, Discretization and Grid Type on Calculations of Ice Deformation J. Griebel & W. Dierking 10.3390/rs10030393
- Matching Vector Filtering Methods For Sea Ice Motion Detection Using SAR Imagery Feature Tracking C. Li et al. 10.1109/JSTARS.2022.3196026
- Sea ice drift vector extraction based on feature matching using CS-1 Images Y. Yang & T. Xie 10.1088/1742-6596/2718/1/012012
- Effects of Arctic Warming on Microbes and Methane in Different Land Types in Svalbard F. Zhang et al. 10.3390/w13223296
- Modeling pan-Arctic seasonal and interannual landfast sea ice thickness and snow depth between 1979 and 2021 Z. Wang et al. 10.1080/17538947.2024.2376253
- Comparing SAR-Based Short Time-Lag Cross Correlation and Doppler-Derived Sea Ice Drift Velocities T. Kramer et al. 10.1109/TGRS.2017.2769222
- A climate data record of year-round global sea-ice drift from the EUMETSAT Ocean and Sea Ice Satellite Application Facility (OSI SAF) T. Lavergne & E. Down 10.5194/essd-15-5807-2023
- An Automatic Method for Black Margin Elimination of Sentinel-1A Images over Antarctica X. Wang & D. Holland 10.3390/rs12071175
35 citations as recorded by crossref.
- Efficient Thermal Noise Removal for Sentinel-1 TOPSAR Cross-Polarization Channel J. Park et al. 10.1109/TGRS.2017.2765248
- Enhanced Delaunay Triangulation Sea Ice Tracking Algorithm with Combining Feature Tracking and Pattern Matching M. Zhang et al. 10.3390/rs12030581
- Ocean Eddy Signature on SAR‐Derived Sea Ice Drift and Vorticity A. Cassianides et al. 10.1029/2020GL092066
- A Framework for Fine-Resolution and Spatially Continuous Arctic Sea Ice Drift Retrieval Using Multisensor Data X. Wang et al. 10.1109/TGRS.2024.3394882
- Partial Shape Recognition for Sea Ice Motion Retrieval in the Marginal Ice Zone from Sentinel-1 and Sentinel-2 M. Wang et al. 10.3390/rs13214473
- Sea ice export through the Fram Strait derived from a combined model and satellite data set C. Min et al. 10.5194/tc-13-3209-2019
- An improved optical flow method to estimate Arctic sea ice velocity (winter 2014–2016) H. Li et al. 10.1007/s13131-021-1867-2
- Ice Floe Tracker: An algorithm to automatically retrieve Lagrangian trajectories via feature matching from moderate-resolution visual imagery R. Lopez-Acosta et al. 10.1016/j.rse.2019.111406
- Long-Term Analysis of Sea Ice Drift in the Western Ross Sea, Antarctica, at High and Low Spatial Resolution U. Farooq et al. 10.3390/rs12091402
- Improvement of the feature tracking and patter matching algorithm for sea ice motion retrieval from SAR and optical imagery M. Li et al. 10.1016/j.jag.2022.102908
- Development of a Novel Sea Ice Drift Detection Algorithm (SIDDA) Using SAR Data P. Joshi et al. 10.1007/s12524-025-02118-x
- A Combination of Feature Tracking and Pattern Matching with Optimal Parametrization for Sea Ice Drift Retrieval from SAR Data A. Korosov & P. Rampal 10.3390/rs9030258
- Evaluating Landfast Sea Ice Ridging near UtqiaġVik Alaska Using TanDEM-X Interferometry M. Marbouti et al. 10.3390/rs12081247
- On the Detection and Long-Term Path Visualisation of A-68 Iceberg L. Lopez-Lopez et al. 10.3390/rs13030460
- Sea Ice Drift Tracking From Sequential SAR Images Using Accelerated-KAZE Features D. Demchev et al. 10.1109/TGRS.2017.2703084
- Estimating statistical errors in retrievals of ice velocity and deformation parameters from satellite images and buoy arrays W. Dierking et al. 10.5194/tc-14-2999-2020
- Application of the Combined Feature Tracking and Maximum Cross-Correlation Algorithm to the Extraction of Sea Ice Motion Data From GF-3 Imagery M. Li et al. 10.1109/JSTARS.2022.3166897
- A Method to Improve High-Resolution Sea Ice Drift Retrievals in the Presence of Deformation Zones J. Griebel & W. Dierking 10.3390/rs9070718
- Retrieval of Sea Ice Drift From the Central Arctic to the Fram Strait Based on Sequential Sentinel-1 SAR Data Y. Qiu & X. Li 10.1109/TGRS.2022.3226223
- An adaptive machine learning approach to improve automatic iceberg detection from SAR images M. Barbat et al. 10.1016/j.isprsjprs.2019.08.015
- Improvement of Sea Ice Drift Extraction Based on Feature Tracking from C-SAR/01 Imagery Y. Yang et al. 10.1109/JSTARS.2024.3403919
- Extraction of Sea Ice Cover by Sentinel-1 SAR Based on Support Vector Machine With Unsupervised Generation of Training Data X. Li et al. 10.1109/TGRS.2020.3007789
- An improvement in accuracy and spatial resolution of the pattern-matching sea ice drift from SAR imagery X. Wang et al. 10.1080/17538947.2023.2264918
- Open-source sea ice drift algorithm for Sentinel-1 SAR imagery using a combination of feature tracking and pattern matching S. Muckenhuber & S. Sandven 10.5194/tc-11-1835-2017
- Unsupervised domain adaptive object detection for assembly quality inspection X. Zhu et al. 10.1016/j.procir.2022.09.038
- Automated retrieval of internal wave phase speed and direction from pairs of SAR images with different look directions S. Furtney et al. 10.1016/j.rse.2024.114084
- Application of Feature Tracking Using K-Nearest-Neighbor Vector Field Consensus in Sea Ice Tracking B. He et al. 10.1109/JSTARS.2022.3178117
- Towards a swath-to-swath sea-ice drift product for the Copernicus Imaging Microwave Radiometer mission T. Lavergne et al. 10.5194/tc-15-3681-2021
- Impact of Sea Ice Drift Retrieval Errors, Discretization and Grid Type on Calculations of Ice Deformation J. Griebel & W. Dierking 10.3390/rs10030393
- Matching Vector Filtering Methods For Sea Ice Motion Detection Using SAR Imagery Feature Tracking C. Li et al. 10.1109/JSTARS.2022.3196026
- Sea ice drift vector extraction based on feature matching using CS-1 Images Y. Yang & T. Xie 10.1088/1742-6596/2718/1/012012
- Effects of Arctic Warming on Microbes and Methane in Different Land Types in Svalbard F. Zhang et al. 10.3390/w13223296
- Modeling pan-Arctic seasonal and interannual landfast sea ice thickness and snow depth between 1979 and 2021 Z. Wang et al. 10.1080/17538947.2024.2376253
- Comparing SAR-Based Short Time-Lag Cross Correlation and Doppler-Derived Sea Ice Drift Velocities T. Kramer et al. 10.1109/TGRS.2017.2769222
- A climate data record of year-round global sea-ice drift from the EUMETSAT Ocean and Sea Ice Satellite Application Facility (OSI SAF) T. Lavergne & E. Down 10.5194/essd-15-5807-2023
1 citations as recorded by crossref.
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Latest update: 24 Apr 2025
Short summary
Presently, sea ice drift data do not provide sufficient resolution to estimate convergence and divergence fields on a spatial scaling of a few kilometres. Our goal is to exploit recent improvements and developments in computer vision by adopting a state-of-the-art feature-tracking algorithm to derive high-resolution sea ice drift. A computationally efficient algorithm has been considered, tuned and compared with other available feature-tracking algorithms.
Presently, sea ice drift data do not provide sufficient resolution to estimate convergence and...
