Articles | Volume 15, issue 2
https://doi.org/10.5194/tc-15-821-2021
© Author(s) 2021. 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-15-821-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 Feb 2021
Research article |
| 18 Feb 2021
| 18 Feb 2021
Refining the sea surface identification approach for determining freeboards in the ICESat-2 sea ice products
Applied Physics Laboratory, Polar Science Center, University of
Washington, Seattle, Washington, USA
Goddard Space Flight Center, Greenbelt, Maryland, USA
Earth System Science Interdisciplinary Center, University of Maryland,
College Park, Maryland, USA
Marco Bagnardi
Goddard Space Flight Center, Greenbelt, Maryland, USA
ADNET Systems, Inc., Rockville, Maryland, USA
Nathan T. Kurtz
Goddard Space Flight Center, Greenbelt, Maryland, USA
Glenn F. Cunningham
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, California, USA
Alvaro Ivanoff
Goddard Space Flight Center, Greenbelt, Maryland, USA
ADNET Systems, Inc., Rockville, Maryland, USA
Sahra Kacimi
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, California, USA
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Cited
28 citations as recorded by crossref.
- Linking scales of sea ice surface topography: evaluation of ICESat-2 measurements with coincident helicopter laser scanning during MOSAiC R. Ricker et al. https://doi.org/10.5194/tc-17-1411-2023
- Sea ice surface type classification of ICESat-2 ATL07 data by using data-driven machine learning model: Ross Sea, Antarctic as an example Y. Koo et al. https://doi.org/10.1016/j.rse.2023.113726
- An Adaptive Photon Denoising Method Over Mountainous Forest Areas Q. Zhang et al. https://doi.org/10.1109/TGRS.2025.3555628
- Estimation of degree of sea ice ridging in the Bay of Bothnia based on geolocated photon heights from ICESat-2 R. Fredensborg Hansen et al. https://doi.org/10.5194/tc-15-2511-2021
- Inferring the seasonality of sea ice floes in the Weddell Sea using ICESat-2 M. Gupta et al. https://doi.org/10.5194/tc-19-1241-2025
- Sea Surface Height Anomalies of the Arctic Ocean From ICESat‐2: A First Examination and Comparisons With CryoSat‐2 M. Bagnardi et al. https://doi.org/10.1029/2021GL093155
- Seasonal Evolution of the Arctic Sea Ice Thickness Distribution S. Toppaladoddi et al. https://doi.org/10.1029/2022JC019540
- Arctic sea ice coverage from 43 years of satellite passive-microwave observations C. Parkinson https://doi.org/10.3389/frsen.2022.1021781
- Initial assessment of all-season Arctic sea ice thickness from ICESat-2 A. Petty et al. https://doi.org/10.1017/jog.2025.10119
- Modeling and Correcting Building Boundary in ICESat-2 Spaceborne Laser Altimeter Data Considering the Extended Laser Spot Effect P. Zhao et al. https://doi.org/10.1109/TGRS.2024.3383600
- Sea ice concentration estimates from ICESat-2 linear ice fraction – Part 1: Multi-sensor comparison of sea ice concentration products E. Buckley et al. https://doi.org/10.5194/tc-19-4805-2025
- Observing the evolution of summer melt on multiyear sea ice with ICESat-2 and Sentinel-2 E. Buckley et al. https://doi.org/10.5194/tc-17-3695-2023
- Anticipating CRISTAL: an exploration of multi-frequency satellite altimeter snow depth estimates over Arctic sea ice, 2018–2023 J. Landy et al. https://doi.org/10.5194/tc-20-183-2026
- ICESat-2 Derived Canopy Covers With Radiometric and Reflectance Ratio Corrections Q. Zhang et al. https://doi.org/10.1109/TGRS.2024.3349559
- Year-Round High-Resolution Sea Ice Freeboard Retrieval Using ICESat-2 ATL03 Photon Data W. Liu et al. https://doi.org/10.5194/tc-20-4839-2026
- Winter Arctic sea ice thickness from ICESat-2: upgrades to freeboard and snow loading estimates and an assessment of the first three winters of data collection A. Petty et al. https://doi.org/10.5194/tc-17-127-2023
- An Improved Algorithm for the Retrieval of the Antarctic Sea Ice Freeboard and Thickness from ICESat-2 Altimeter Data X. Pang et al. https://doi.org/10.3390/rs14051069
- Derived Reflectance Over Open Oceans Using ICESat-2 Background Noise and Auxiliary Data H. Zheng et al. https://doi.org/10.1109/TGRS.2023.3294691
- Assessment of Satellite Altimetric and Compact Polarimetric SAR Parameters Over Early Spring Snow-Covered Landfast Sea Ice in the Canadian Arctic H. Lam et al. https://doi.org/10.1109/JSTARS.2025.3595821
- Snow depth estimation on leadless landfast ice using Cryo2Ice satellite observations M. Saha et al. https://doi.org/10.5194/tc-19-325-2025
- Shipborne GNSS-IR for Sea Ice Freeboard Monitoring: A Case Study From the Chinese Polar Expedition L. Chen et al. https://doi.org/10.1109/JSTARS.2026.3726498
- The Antarctic sea ice cover from ICESat-2 and CryoSat-2: freeboard, snow depth, and ice thickness S. Kacimi & R. Kwok https://doi.org/10.5194/tc-14-4453-2020
- Enhanced sea ice classification for ICESat-2 using combined unsupervised and supervised machine learning W. Liu et al. https://doi.org/10.1016/j.rse.2025.114607
- Feasibility of retrieving Arctic sea ice thickness from the Chinese HY-2B Ku-band radar altimeter Z. Dong et al. https://doi.org/10.5194/tc-17-1389-2023
- Retrieval of snow depth on Antarctic sea ice from the FY-3D MWRI data Z. Yan et al. https://doi.org/10.1007/s13131-023-2179-5
- Detection of multi-year ex-fast ice in the Weddell Sea, Antarctica, using ICESat-2 satellite altimeter data Y. Koo et al. https://doi.org/10.1016/j.rse.2025.114750
- Sea ice concentration estimates from ICESat-2 linear ice fraction – Part 2: Gridded data comparison and bias estimation C. Horvat et al. https://doi.org/10.5194/tc-19-4819-2025
- Automatic land-sea classification in a nearshore environment using satellite-based photon-counting LiDAR data G. Zhang et al. https://doi.org/10.1364/OE.479449
28 citations as recorded by crossref.
- Linking scales of sea ice surface topography: evaluation of ICESat-2 measurements with coincident helicopter laser scanning during MOSAiC R. Ricker et al. https://doi.org/10.5194/tc-17-1411-2023
- Sea ice surface type classification of ICESat-2 ATL07 data by using data-driven machine learning model: Ross Sea, Antarctic as an example Y. Koo et al. https://doi.org/10.1016/j.rse.2023.113726
- An Adaptive Photon Denoising Method Over Mountainous Forest Areas Q. Zhang et al. https://doi.org/10.1109/TGRS.2025.3555628
- Estimation of degree of sea ice ridging in the Bay of Bothnia based on geolocated photon heights from ICESat-2 R. Fredensborg Hansen et al. https://doi.org/10.5194/tc-15-2511-2021
- Inferring the seasonality of sea ice floes in the Weddell Sea using ICESat-2 M. Gupta et al. https://doi.org/10.5194/tc-19-1241-2025
- Sea Surface Height Anomalies of the Arctic Ocean From ICESat‐2: A First Examination and Comparisons With CryoSat‐2 M. Bagnardi et al. https://doi.org/10.1029/2021GL093155
- Seasonal Evolution of the Arctic Sea Ice Thickness Distribution S. Toppaladoddi et al. https://doi.org/10.1029/2022JC019540
- Arctic sea ice coverage from 43 years of satellite passive-microwave observations C. Parkinson https://doi.org/10.3389/frsen.2022.1021781
- Initial assessment of all-season Arctic sea ice thickness from ICESat-2 A. Petty et al. https://doi.org/10.1017/jog.2025.10119
- Modeling and Correcting Building Boundary in ICESat-2 Spaceborne Laser Altimeter Data Considering the Extended Laser Spot Effect P. Zhao et al. https://doi.org/10.1109/TGRS.2024.3383600
- Sea ice concentration estimates from ICESat-2 linear ice fraction – Part 1: Multi-sensor comparison of sea ice concentration products E. Buckley et al. https://doi.org/10.5194/tc-19-4805-2025
- Observing the evolution of summer melt on multiyear sea ice with ICESat-2 and Sentinel-2 E. Buckley et al. https://doi.org/10.5194/tc-17-3695-2023
- Anticipating CRISTAL: an exploration of multi-frequency satellite altimeter snow depth estimates over Arctic sea ice, 2018–2023 J. Landy et al. https://doi.org/10.5194/tc-20-183-2026
- ICESat-2 Derived Canopy Covers With Radiometric and Reflectance Ratio Corrections Q. Zhang et al. https://doi.org/10.1109/TGRS.2024.3349559
- Year-Round High-Resolution Sea Ice Freeboard Retrieval Using ICESat-2 ATL03 Photon Data W. Liu et al. https://doi.org/10.5194/tc-20-4839-2026
- Winter Arctic sea ice thickness from ICESat-2: upgrades to freeboard and snow loading estimates and an assessment of the first three winters of data collection A. Petty et al. https://doi.org/10.5194/tc-17-127-2023
- An Improved Algorithm for the Retrieval of the Antarctic Sea Ice Freeboard and Thickness from ICESat-2 Altimeter Data X. Pang et al. https://doi.org/10.3390/rs14051069
- Derived Reflectance Over Open Oceans Using ICESat-2 Background Noise and Auxiliary Data H. Zheng et al. https://doi.org/10.1109/TGRS.2023.3294691
- Assessment of Satellite Altimetric and Compact Polarimetric SAR Parameters Over Early Spring Snow-Covered Landfast Sea Ice in the Canadian Arctic H. Lam et al. https://doi.org/10.1109/JSTARS.2025.3595821
- Snow depth estimation on leadless landfast ice using Cryo2Ice satellite observations M. Saha et al. https://doi.org/10.5194/tc-19-325-2025
- Shipborne GNSS-IR for Sea Ice Freeboard Monitoring: A Case Study From the Chinese Polar Expedition L. Chen et al. https://doi.org/10.1109/JSTARS.2026.3726498
- The Antarctic sea ice cover from ICESat-2 and CryoSat-2: freeboard, snow depth, and ice thickness S. Kacimi & R. Kwok https://doi.org/10.5194/tc-14-4453-2020
- Enhanced sea ice classification for ICESat-2 using combined unsupervised and supervised machine learning W. Liu et al. https://doi.org/10.1016/j.rse.2025.114607
- Feasibility of retrieving Arctic sea ice thickness from the Chinese HY-2B Ku-band radar altimeter Z. Dong et al. https://doi.org/10.5194/tc-17-1389-2023
- Retrieval of snow depth on Antarctic sea ice from the FY-3D MWRI data Z. Yan et al. https://doi.org/10.1007/s13131-023-2179-5
- Detection of multi-year ex-fast ice in the Weddell Sea, Antarctica, using ICESat-2 satellite altimeter data Y. Koo et al. https://doi.org/10.1016/j.rse.2025.114750
- Sea ice concentration estimates from ICESat-2 linear ice fraction – Part 2: Gridded data comparison and bias estimation C. Horvat et al. https://doi.org/10.5194/tc-19-4819-2025
- Automatic land-sea classification in a nearshore environment using satellite-based photon-counting LiDAR data G. Zhang et al. https://doi.org/10.1364/OE.479449
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