Articles | Volume 8, issue 6
https://doi.org/10.5194/tc-8-2163-2014
© Author(s) 2014. 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-8-2163-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
25 Nov 2014
Research article |
| 25 Nov 2014
First-year sea ice melt pond fraction estimation from dual-polarisation C-band SAR – Part 2: Scaling in situ to Radarsat-2
Department of Geography, University of Victoria, Victoria, British Columbia, Canada
K. Hochheim
Centre for Earth Observation Science, Faculty of Environment Earth and Resources, University of Manitoba, Winnipeg, Manitoba, Canada
J. Landy
Centre for Earth Observation Science, Faculty of Environment Earth and Resources, University of Manitoba, Winnipeg, Manitoba, Canada
D. G. Barber
Centre for Earth Observation Science, Faculty of Environment Earth and Resources, University of Manitoba, Winnipeg, Manitoba, Canada
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Cited
27 citations as recorded by crossref.
- Spring melt pond fraction in the Canadian Arctic Archipelago predicted from RADARSAT-2 S. Howell et al. https://doi.org/10.5194/tc-14-4675-2020
- Retrieval of Melt Ponds on Arctic Multiyear Sea Ice in Summer from TerraSAR-X Dual-Polarization Data Using Machine Learning Approaches: A Case Study in the Chukchi Sea with Mid-Incidence Angle Data H. Han et al. https://doi.org/10.3390/rs8010057
- A spectral mixture analysis approach to quantify Arctic first-year sea ice melt pond fraction using QuickBird and MODIS reflectance data J. Yackel et al. https://doi.org/10.1016/j.rse.2017.09.030
- Is Radar Phase Information Useful for Sea Ice Detection in the Marginal Ice Zone? F. Ding et al. https://doi.org/10.3390/rs12111847
- Retrieval of Oil–Water Mixture Ratio at Ocean Surface Using Compact Polarimetry Synthetic Aperture Radar H. Li et al. https://doi.org/10.3390/rs11070816
- Arctic sea ice melt pond fraction in 2000–2021 derived by dynamic pixel spectral unmixing of MODIS images C. Xiong & Y. Ren https://doi.org/10.1016/j.isprsjprs.2023.01.023
- Estimation of Melt Pond Fractions on First Year Sea Ice Using Compact Polarization SAR H. Li et al. https://doi.org/10.1002/2017JC013248
- First-year sea ice melt pond fraction estimation from dual-polarisation C-band SAR – Part 1: In situ observations R. Scharien et al. https://doi.org/10.5194/tc-8-2147-2014
- Winter Sentinel‐1 Backscatter as a Predictor of Spring Arctic Sea Ice Melt Pond Fraction R. Scharien et al. https://doi.org/10.1002/2017GL075547
- Late-summer sea ice segmentation with multi-polarisation SAR features in C and X band A. Fors et al. https://doi.org/10.5194/tc-10-401-2016
- Optimal Compact Polarimetric Parameters and Texture Features for Discriminating Sea Ice Types during Winter and Advanced Melt S. Nasonova et al. https://doi.org/10.1080/07038992.2018.1527683
- Melt Season Arctic Sea Ice Type Separability Using Fully and Compact Polarimetric C- and L-Band Synthetic Aperture Radar A. Tavri et al. https://doi.org/10.1080/07038992.2023.2271578
- Detecting Melt Pond Onset on Landfast Arctic Sea Ice Using a Dual C-Band Satellite Approach S. Maknun et al. https://doi.org/10.3390/rs16122091
- Estimation of Level and Deformed First-Year Sea Ice Surface Roughness in the Canadian Arctic Archipelago from C- and L-Band Synthetic Aperture Radar S. Cafarella et al. https://doi.org/10.1080/07038992.2019.1647102
- Melt Pond Scheme Parameter Estimation Using an Adjoint Model Y. Lu et al. https://doi.org/10.1007/s00376-021-0305-x
- 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. https://doi.org/10.1016/j.rse.2015.12.021
- Linking Regional Winter Sea Ice Thickness and Surface Roughness to Spring Melt Pond Fraction on Landfast Arctic Sea Ice S. Nasonova et al. https://doi.org/10.3390/rs10010037
- Comparing L- and C-band synthetic aperture radar estimates of sea ice motion over different ice regimes S. Howell et al. https://doi.org/10.1016/j.rse.2017.10.017
- Signature of Arctic first-year ice melt pond fraction in X-band SAR imagery A. Fors et al. https://doi.org/10.5194/tc-11-755-2017
- Retrieval of Melt Pond Fraction over Arctic Sea Ice during 2000–2019 Using an Ensemble-Based Deep Neural Network Y. Ding et al. https://doi.org/10.3390/rs12172746
- Mapping the Bathymetry of Melt Ponds on Arctic Sea Ice Using Hyperspectral Imagery M. König et al. https://doi.org/10.3390/rs12162623
- Linking winter and spring thermodynamic sea-ice states at critical scales using an object-based image analysis of Sentinel-1 R. Scharien et al. https://doi.org/10.1017/aog.2017.43
- Melt pond distribution and geometry in high Arctic sea ice derived from aerial investigations W. Huang et al. https://doi.org/10.1017/aog.2016.30
- Snow thickness estimation on first-year sea ice using microwave and optical remote sensing with melt modelling J. Zheng et al. https://doi.org/10.1016/j.rse.2017.06.038
- Tenuous Correlation between Snow Depth or Sea Ice Thickness and C- or X-Band Backscattering in Nunavik Fjords of the Hudson Strait S. Dufour-Beauséjour et al. https://doi.org/10.3390/rs13040768
- Comparative Evaluation of Sea Ice Lead Detection Based on SAR Imagery and Altimeter Data N. Longepe et al. https://doi.org/10.1109/TGRS.2018.2889519
- A New Algorithm for Sea Ice Melt Pond Fraction Estimation From High‐Resolution Optical Satellite Imagery M. Wang et al. https://doi.org/10.1029/2019JC015716
27 citations as recorded by crossref.
- Spring melt pond fraction in the Canadian Arctic Archipelago predicted from RADARSAT-2 S. Howell et al. https://doi.org/10.5194/tc-14-4675-2020
- Retrieval of Melt Ponds on Arctic Multiyear Sea Ice in Summer from TerraSAR-X Dual-Polarization Data Using Machine Learning Approaches: A Case Study in the Chukchi Sea with Mid-Incidence Angle Data H. Han et al. https://doi.org/10.3390/rs8010057
- A spectral mixture analysis approach to quantify Arctic first-year sea ice melt pond fraction using QuickBird and MODIS reflectance data J. Yackel et al. https://doi.org/10.1016/j.rse.2017.09.030
- Is Radar Phase Information Useful for Sea Ice Detection in the Marginal Ice Zone? F. Ding et al. https://doi.org/10.3390/rs12111847
- Retrieval of Oil–Water Mixture Ratio at Ocean Surface Using Compact Polarimetry Synthetic Aperture Radar H. Li et al. https://doi.org/10.3390/rs11070816
- Arctic sea ice melt pond fraction in 2000–2021 derived by dynamic pixel spectral unmixing of MODIS images C. Xiong & Y. Ren https://doi.org/10.1016/j.isprsjprs.2023.01.023
- Estimation of Melt Pond Fractions on First Year Sea Ice Using Compact Polarization SAR H. Li et al. https://doi.org/10.1002/2017JC013248
- First-year sea ice melt pond fraction estimation from dual-polarisation C-band SAR – Part 1: In situ observations R. Scharien et al. https://doi.org/10.5194/tc-8-2147-2014
- Winter Sentinel‐1 Backscatter as a Predictor of Spring Arctic Sea Ice Melt Pond Fraction R. Scharien et al. https://doi.org/10.1002/2017GL075547
- Late-summer sea ice segmentation with multi-polarisation SAR features in C and X band A. Fors et al. https://doi.org/10.5194/tc-10-401-2016
- Optimal Compact Polarimetric Parameters and Texture Features for Discriminating Sea Ice Types during Winter and Advanced Melt S. Nasonova et al. https://doi.org/10.1080/07038992.2018.1527683
- Melt Season Arctic Sea Ice Type Separability Using Fully and Compact Polarimetric C- and L-Band Synthetic Aperture Radar A. Tavri et al. https://doi.org/10.1080/07038992.2023.2271578
- Detecting Melt Pond Onset on Landfast Arctic Sea Ice Using a Dual C-Band Satellite Approach S. Maknun et al. https://doi.org/10.3390/rs16122091
- Estimation of Level and Deformed First-Year Sea Ice Surface Roughness in the Canadian Arctic Archipelago from C- and L-Band Synthetic Aperture Radar S. Cafarella et al. https://doi.org/10.1080/07038992.2019.1647102
- Melt Pond Scheme Parameter Estimation Using an Adjoint Model Y. Lu et al. https://doi.org/10.1007/s00376-021-0305-x
- 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. https://doi.org/10.1016/j.rse.2015.12.021
- Linking Regional Winter Sea Ice Thickness and Surface Roughness to Spring Melt Pond Fraction on Landfast Arctic Sea Ice S. Nasonova et al. https://doi.org/10.3390/rs10010037
- Comparing L- and C-band synthetic aperture radar estimates of sea ice motion over different ice regimes S. Howell et al. https://doi.org/10.1016/j.rse.2017.10.017
- Signature of Arctic first-year ice melt pond fraction in X-band SAR imagery A. Fors et al. https://doi.org/10.5194/tc-11-755-2017
- Retrieval of Melt Pond Fraction over Arctic Sea Ice during 2000–2019 Using an Ensemble-Based Deep Neural Network Y. Ding et al. https://doi.org/10.3390/rs12172746
- Mapping the Bathymetry of Melt Ponds on Arctic Sea Ice Using Hyperspectral Imagery M. König et al. https://doi.org/10.3390/rs12162623
- Linking winter and spring thermodynamic sea-ice states at critical scales using an object-based image analysis of Sentinel-1 R. Scharien et al. https://doi.org/10.1017/aog.2017.43
- Melt pond distribution and geometry in high Arctic sea ice derived from aerial investigations W. Huang et al. https://doi.org/10.1017/aog.2016.30
- Snow thickness estimation on first-year sea ice using microwave and optical remote sensing with melt modelling J. Zheng et al. https://doi.org/10.1016/j.rse.2017.06.038
- Tenuous Correlation between Snow Depth or Sea Ice Thickness and C- or X-Band Backscattering in Nunavik Fjords of the Hudson Strait S. Dufour-Beauséjour et al. https://doi.org/10.3390/rs13040768
- Comparative Evaluation of Sea Ice Lead Detection Based on SAR Imagery and Altimeter Data N. Longepe et al. https://doi.org/10.1109/TGRS.2018.2889519
- A New Algorithm for Sea Ice Melt Pond Fraction Estimation From High‐Resolution Optical Satellite Imagery M. Wang et al. https://doi.org/10.1029/2019JC015716
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