Articles | Volume 7, issue 4
https://doi.org/10.5194/tc-7-1315-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/tc-7-1315-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
19 Aug 2013
Research article |
| 19 Aug 2013
Waveform classification of airborne synthetic aperture radar altimeter over Arctic sea ice
M. Zygmuntowska
Nansen Environmental and Remote Sensing Center, Bergen, Norway
K. Khvorostovsky
Nansen Environmental and Remote Sensing Center, Bergen, Norway
Alfred Wegener Institute, Bremerhaven, Germany
S. Sandven
Nansen Environmental and Remote Sensing Center, Bergen, Norway
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Cited
31 citations as recorded by crossref.
- Retrieving Sea Level and Freeboard in the Arctic: A Review of Current Radar Altimetry Methodologies and Future Perspectives G. Quartly et al. https://doi.org/10.3390/rs11070881
- Arctic Sea Ice Classification Based on CFOSAT SWIM Data at Multiple Small Incidence Angles M. Liu et al. https://doi.org/10.3390/rs14010091
- Synergistic multi-altimeter for estimating water level in the coastal zone of Beibu Gulf using SEL, ALES + and BFAST algorithms J. Qin et al. https://doi.org/10.3389/fmars.2022.1113387
- Lead Detection in the Arctic Ocean from Sentinel-3 Satellite Data: A Comprehensive Assessment of Thresholding and Machine Learning Classification Methods I. Bij de Vaate et al. https://doi.org/10.1080/01490419.2022.2089412
- The impact of snow depth, snow density and ice density on sea ice thickness retrieval from satellite radar altimetry: results from the ESA-CCI Sea Ice ECV Project Round Robin Exercise S. Kern et al. https://doi.org/10.5194/tc-9-37-2015
- Lake Level Estimation Based on CryoSat-2 SAR Altimetry and Multi-Looked Waveform Classification F. Göttl et al. https://doi.org/10.3390/rs8110885
- Arctic Sea Ice Lead Detection from Chinese HY-2B Radar Altimeter Data W. Zhong et al. https://doi.org/10.3390/rs15020516
- Comparison of CryoSat-2 and ENVISAT radar freeboard over Arctic sea ice: toward an improved Envisat freeboard retrieval K. Guerreiro et al. https://doi.org/10.5194/tc-11-2059-2017
- Essential gaps and uncertainties in the understanding of the roles and functions of Arctic sea ice S. Gerland et al. https://doi.org/10.1088/1748-9326/ab09b3
- Sea Ice Classification Using Cryosat-2 Altimeter Data by Optimal Classifier–Feature Assembly X. Shen et al. https://doi.org/10.1109/LGRS.2017.2743339
- Monitoring the Arctic Seas: How Satellite Altimetry Can Be Used to Detect Open Water in Sea-Ice Regions F. Müller et al. https://doi.org/10.3390/rs9060551
- Utilisation of CryoSat-2 SAR altimeter in operational ice charting E. Rinne & M. Similä https://doi.org/10.5194/tc-10-121-2016
- Discrimination of different sea ice types from CryoSat-2 satellite data using an Object-based Random Forest (ORF) S. Shu et al. https://doi.org/10.1080/01490419.2019.1671560
- Empirical parametrization of Envisat freeboard retrieval of Arctic and Antarctic sea ice based on CryoSat-2: progress in the ESA Climate Change Initiative S. Paul et al. https://doi.org/10.5194/tc-12-2437-2018
- Dynamic ocean topography of the northern Nordic seas: a comparison between satellite altimetry and ocean modeling F. Müller et al. https://doi.org/10.5194/tc-13-611-2019
- Sensitivity of Radar Altimeter Waveform to Changes in Sea Ice Type at Resolution of Synthetic Aperture Radar W. Aldenhoff et al. https://doi.org/10.3390/rs11222602
- Sea ice recognition for CFOSAT SWIM at multiple small incidence angles in the Arctic M. Liu et al. https://doi.org/10.3389/fmars.2022.986228
- Machine learning based classification of lake ice and open water from Sentinel-3 SAR altimetry waveforms J. Mugunthan et al. https://doi.org/10.1016/j.rse.2023.113891
- A Study of the Technology Used to Distinguish Sea Ice and Seawater on the Haiyang-2A/B (HY-2A/B) Altimeter Data C. Jiang et al. https://doi.org/10.3390/rs11121490
- Self-affine subglacial roughness: consequences for radar scattering and basal water discrimination in northern Greenland T. Jordan et al. https://doi.org/10.5194/tc-11-1247-2017
- Sensitivity of CryoSat-2 Arctic sea-ice freeboard and thickness on radar-waveform interpretation R. Ricker et al. https://doi.org/10.5194/tc-8-1607-2014
- Lead detection in Arctic sea ice from CryoSat-2: quality assessment, lead area fraction and width distribution A. Wernecke & L. Kaleschke https://doi.org/10.5194/tc-9-1955-2015
- Multi-frequency altimetry snow depth estimates over heterogeneous snow-covered Antarctic summer sea ice – Part 1: C∕S-, Ku-, and Ka-band airborne observations R. Fredensborg Hansen et al. https://doi.org/10.5194/tc-19-4167-2025
- Arctic lead detection using a waveform mixture algorithm from CryoSat-2 data S. Lee et al. https://doi.org/10.5194/tc-12-1665-2018
- Classification of Sea Ice Types in the Arctic by Radar Echoes from SARAL/AltiKa R. Fredensborg Hansen et al. https://doi.org/10.3390/rs13163183
- Enhanced neural network classification for Arctic summer sea ice A. Braakmann-Folgmann et al. https://doi.org/10.5194/tc-20-905-2026
- Detecting Sea Ice Leads and Floes in the Northwest Passage Using CryoSat-2 A. Swiggs et al. https://doi.org/10.1109/JSTARS.2024.3503286
- Assessment of Arctic Sea Ice Classification Ability of Chinese HY-2B Dual-Band Radar Altimeter During Winter to Early Spring Conditions X. Zhang et al. https://doi.org/10.1109/JSTARS.2021.3114228
- Classification of ice and water in the Arctic using radar altimeter and microwave radiometer data from HY-2B satellite C. Jiang et al. https://doi.org/10.1007/s13131-022-2067-4
- Monitoring Arctic thin ice: a comparison between CryoSat-2 SAR altimetry data and MODIS thermal-infrared imagery F. Müller et al. https://doi.org/10.5194/tc-17-809-2023
- Lead Detection in Polar Oceans—A Comparison of Different Classification Methods for Cryosat-2 SAR Data D. Dettmering et al. https://doi.org/10.3390/rs10081190
31 citations as recorded by crossref.
- Retrieving Sea Level and Freeboard in the Arctic: A Review of Current Radar Altimetry Methodologies and Future Perspectives G. Quartly et al. https://doi.org/10.3390/rs11070881
- Arctic Sea Ice Classification Based on CFOSAT SWIM Data at Multiple Small Incidence Angles M. Liu et al. https://doi.org/10.3390/rs14010091
- Synergistic multi-altimeter for estimating water level in the coastal zone of Beibu Gulf using SEL, ALES + and BFAST algorithms J. Qin et al. https://doi.org/10.3389/fmars.2022.1113387
- Lead Detection in the Arctic Ocean from Sentinel-3 Satellite Data: A Comprehensive Assessment of Thresholding and Machine Learning Classification Methods I. Bij de Vaate et al. https://doi.org/10.1080/01490419.2022.2089412
- The impact of snow depth, snow density and ice density on sea ice thickness retrieval from satellite radar altimetry: results from the ESA-CCI Sea Ice ECV Project Round Robin Exercise S. Kern et al. https://doi.org/10.5194/tc-9-37-2015
- Lake Level Estimation Based on CryoSat-2 SAR Altimetry and Multi-Looked Waveform Classification F. Göttl et al. https://doi.org/10.3390/rs8110885
- Arctic Sea Ice Lead Detection from Chinese HY-2B Radar Altimeter Data W. Zhong et al. https://doi.org/10.3390/rs15020516
- Comparison of CryoSat-2 and ENVISAT radar freeboard over Arctic sea ice: toward an improved Envisat freeboard retrieval K. Guerreiro et al. https://doi.org/10.5194/tc-11-2059-2017
- Essential gaps and uncertainties in the understanding of the roles and functions of Arctic sea ice S. Gerland et al. https://doi.org/10.1088/1748-9326/ab09b3
- Sea Ice Classification Using Cryosat-2 Altimeter Data by Optimal Classifier–Feature Assembly X. Shen et al. https://doi.org/10.1109/LGRS.2017.2743339
- Monitoring the Arctic Seas: How Satellite Altimetry Can Be Used to Detect Open Water in Sea-Ice Regions F. Müller et al. https://doi.org/10.3390/rs9060551
- Utilisation of CryoSat-2 SAR altimeter in operational ice charting E. Rinne & M. Similä https://doi.org/10.5194/tc-10-121-2016
- Discrimination of different sea ice types from CryoSat-2 satellite data using an Object-based Random Forest (ORF) S. Shu et al. https://doi.org/10.1080/01490419.2019.1671560
- Empirical parametrization of Envisat freeboard retrieval of Arctic and Antarctic sea ice based on CryoSat-2: progress in the ESA Climate Change Initiative S. Paul et al. https://doi.org/10.5194/tc-12-2437-2018
- Dynamic ocean topography of the northern Nordic seas: a comparison between satellite altimetry and ocean modeling F. Müller et al. https://doi.org/10.5194/tc-13-611-2019
- Sensitivity of Radar Altimeter Waveform to Changes in Sea Ice Type at Resolution of Synthetic Aperture Radar W. Aldenhoff et al. https://doi.org/10.3390/rs11222602
- Sea ice recognition for CFOSAT SWIM at multiple small incidence angles in the Arctic M. Liu et al. https://doi.org/10.3389/fmars.2022.986228
- Machine learning based classification of lake ice and open water from Sentinel-3 SAR altimetry waveforms J. Mugunthan et al. https://doi.org/10.1016/j.rse.2023.113891
- A Study of the Technology Used to Distinguish Sea Ice and Seawater on the Haiyang-2A/B (HY-2A/B) Altimeter Data C. Jiang et al. https://doi.org/10.3390/rs11121490
- Self-affine subglacial roughness: consequences for radar scattering and basal water discrimination in northern Greenland T. Jordan et al. https://doi.org/10.5194/tc-11-1247-2017
- Sensitivity of CryoSat-2 Arctic sea-ice freeboard and thickness on radar-waveform interpretation R. Ricker et al. https://doi.org/10.5194/tc-8-1607-2014
- Lead detection in Arctic sea ice from CryoSat-2: quality assessment, lead area fraction and width distribution A. Wernecke & L. Kaleschke https://doi.org/10.5194/tc-9-1955-2015
- Multi-frequency altimetry snow depth estimates over heterogeneous snow-covered Antarctic summer sea ice – Part 1: C∕S-, Ku-, and Ka-band airborne observations R. Fredensborg Hansen et al. https://doi.org/10.5194/tc-19-4167-2025
- Arctic lead detection using a waveform mixture algorithm from CryoSat-2 data S. Lee et al. https://doi.org/10.5194/tc-12-1665-2018
- Classification of Sea Ice Types in the Arctic by Radar Echoes from SARAL/AltiKa R. Fredensborg Hansen et al. https://doi.org/10.3390/rs13163183
- Enhanced neural network classification for Arctic summer sea ice A. Braakmann-Folgmann et al. https://doi.org/10.5194/tc-20-905-2026
- Detecting Sea Ice Leads and Floes in the Northwest Passage Using CryoSat-2 A. Swiggs et al. https://doi.org/10.1109/JSTARS.2024.3503286
- Assessment of Arctic Sea Ice Classification Ability of Chinese HY-2B Dual-Band Radar Altimeter During Winter to Early Spring Conditions X. Zhang et al. https://doi.org/10.1109/JSTARS.2021.3114228
- Classification of ice and water in the Arctic using radar altimeter and microwave radiometer data from HY-2B satellite C. Jiang et al. https://doi.org/10.1007/s13131-022-2067-4
- Monitoring Arctic thin ice: a comparison between CryoSat-2 SAR altimetry data and MODIS thermal-infrared imagery F. Müller et al. https://doi.org/10.5194/tc-17-809-2023
- Lead Detection in Polar Oceans—A Comparison of Different Classification Methods for Cryosat-2 SAR Data D. Dettmering et al. https://doi.org/10.3390/rs10081190
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