Articles | Volume 9, issue 1
https://doi.org/10.5194/tc-9-357-2015
© Author(s) 2015. 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-9-357-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
17 Feb 2015
Research article |
| 17 Feb 2015
Comparing C- and L-band SAR images for sea ice motion estimation
Finnish Meteorological Institute, Marine Research Programme, Helsinki, PB 503, 00101 Finland
S. Siiriä
Finnish Meteorological Institute, Marine Research Programme, Helsinki, PB 503, 00101 Finland
J. Karvonen
Finnish Meteorological Institute, Marine Research Programme, Helsinki, PB 503, 00101 Finland
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Cited
22 citations as recorded by crossref.
- Separability of sea ice types from wide swath C- and L-band synthetic aperture radar imagery acquired during the melt season J. Casey et al. 10.1016/j.rse.2015.12.021
- Cross-platform classification of level and deformed sea ice considering per-class incident angle dependency of backscatter intensity W. Guo et al. 10.5194/tc-16-237-2022
- Agreement and Complementarity of Sea Ice Drift Products A. Johansson & A. Berg 10.1109/JSTARS.2015.2506786
- Wavelet Operators and Multiplicative Observation Models—Application to SAR Image Time-Series Analysis A. Atto et al. 10.1109/TGRS.2016.2587626
- Synergistic RADARSAT-2 and Sentinel-1 SAR Images for Ocean Feature Analysis W. Van Wychen et al. 10.1080/07038992.2019.1662284
- An Improved L2Net for Repetitive Texture Image Registration with Intensity Difference Heterogeneous SAR Images P. Men et al. 10.3390/rs14112527
- 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 Meta-Analysis of Sea Ice Monitoring Using Spaceborne Polarimetric SAR: Advances in the Last Decade H. Lyu et al. 10.1109/JSTARS.2022.3194324
- X-, C-, and L-band SAR signatures of newly formed sea ice in Arctic leads during winter and spring A. Johansson et al. 10.1016/j.rse.2017.10.032
- Sea-Ice Mapping of RADARSAT-2 Imagery by Integrating Spatial Contexture With Textural Features M. Jiang et al. 10.1109/JSTARS.2022.3205849
- Glacial and tidal strain of landfast sea ice in Terra Nova Bay, East Antarctica, observed by interferometric SAR techniques H. Han & H. Lee 10.1016/j.rse.2018.02.033
- 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
- An improved optical flow method to estimate Arctic sea ice velocity (winter 2014–2016) H. Li et al. 10.1007/s13131-021-1867-2
- 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
- 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
- Arctic sea ice drift fields extraction based on feature tracking to MODIS imagery Y. Fang et al. 10.1016/j.jag.2023.103353
- Improving Sea Ice Characterization in Dry Ice Winter Conditions Using Polarimetric Parameters from C- and L-Band SAR Data M. Dabboor et al. 10.3390/rs9121270
- Impact of Arctic sea ice floe-scale anisotropy on airborne electromagnetic surveys J. Negrel et al. 10.1017/aog.2020.61
- Comparing L- and C-band synthetic aperture radar estimates of sea ice motion over different ice regimes S. Howell et al. 10.1016/j.rse.2017.10.017
- Combined observations of Arctic sea ice with near‐coincident colocated X‐band, C‐band, and L‐band SAR satellite remote sensing and helicopter‐borne measurements A. Johansson et al. 10.1002/2016JC012273
- On Suitability of ALOS-2/PALSAR-2 Dual-Polarized SAR Data for Arctic Sea Ice Parameter Estimation J. Karvonen et al. 10.1109/TGRS.2020.2985696
- Comparison of ice/water classification in Fram Strait from C- and L-band SAR imagery W. Aldenhoff et al. 10.1017/aog.2018.7
22 citations as recorded by crossref.
- Separability of sea ice types from wide swath C- and L-band synthetic aperture radar imagery acquired during the melt season J. Casey et al. 10.1016/j.rse.2015.12.021
- Cross-platform classification of level and deformed sea ice considering per-class incident angle dependency of backscatter intensity W. Guo et al. 10.5194/tc-16-237-2022
- Agreement and Complementarity of Sea Ice Drift Products A. Johansson & A. Berg 10.1109/JSTARS.2015.2506786
- Wavelet Operators and Multiplicative Observation Models—Application to SAR Image Time-Series Analysis A. Atto et al. 10.1109/TGRS.2016.2587626
- Synergistic RADARSAT-2 and Sentinel-1 SAR Images for Ocean Feature Analysis W. Van Wychen et al. 10.1080/07038992.2019.1662284
- An Improved L2Net for Repetitive Texture Image Registration with Intensity Difference Heterogeneous SAR Images P. Men et al. 10.3390/rs14112527
- 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 Meta-Analysis of Sea Ice Monitoring Using Spaceborne Polarimetric SAR: Advances in the Last Decade H. Lyu et al. 10.1109/JSTARS.2022.3194324
- X-, C-, and L-band SAR signatures of newly formed sea ice in Arctic leads during winter and spring A. Johansson et al. 10.1016/j.rse.2017.10.032
- Sea-Ice Mapping of RADARSAT-2 Imagery by Integrating Spatial Contexture With Textural Features M. Jiang et al. 10.1109/JSTARS.2022.3205849
- Glacial and tidal strain of landfast sea ice in Terra Nova Bay, East Antarctica, observed by interferometric SAR techniques H. Han & H. Lee 10.1016/j.rse.2018.02.033
- 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
- An improved optical flow method to estimate Arctic sea ice velocity (winter 2014–2016) H. Li et al. 10.1007/s13131-021-1867-2
- 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
- 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
- Arctic sea ice drift fields extraction based on feature tracking to MODIS imagery Y. Fang et al. 10.1016/j.jag.2023.103353
- Improving Sea Ice Characterization in Dry Ice Winter Conditions Using Polarimetric Parameters from C- and L-Band SAR Data M. Dabboor et al. 10.3390/rs9121270
- Impact of Arctic sea ice floe-scale anisotropy on airborne electromagnetic surveys J. Negrel et al. 10.1017/aog.2020.61
- Comparing L- and C-band synthetic aperture radar estimates of sea ice motion over different ice regimes S. Howell et al. 10.1016/j.rse.2017.10.017
- Combined observations of Arctic sea ice with near‐coincident colocated X‐band, C‐band, and L‐band SAR satellite remote sensing and helicopter‐borne measurements A. Johansson et al. 10.1002/2016JC012273
- On Suitability of ALOS-2/PALSAR-2 Dual-Polarized SAR Data for Arctic Sea Ice Parameter Estimation J. Karvonen et al. 10.1109/TGRS.2020.2985696
- Comparison of ice/water classification in Fram Strait from C- and L-band SAR imagery W. Aldenhoff et al. 10.1017/aog.2018.7
Saved (final revised paper)
Latest update: 18 Apr 2024
Short summary
Satellite radar images are used for detecting and quantifying the motion of sea ice. Traditionally C-band radar images have been used for this purpose. The technique has been shown to work with other frequency bands. This work compares C-band and L-band images for the Baltic Sea. We also show that two images of different bands can be used for sea ice motion estimation.
Satellite radar images are used for detecting and quantifying the motion of sea ice....
