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
15 citations as recorded by crossref.
- 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. 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. 10.3390/rs14051069
- Linking scales of sea ice surface topography: evaluation of ICESat-2 measurements with coincident helicopter laser scanning during MOSAiC R. Ricker et al. 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. 10.1016/j.rse.2023.113726
- 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. 10.5194/tc-15-2511-2021
- Derived Reflectance Over Open Oceans Using ICESat-2 Background Noise and Auxiliary Data H. Zheng et al. 10.1109/TGRS.2023.3294691
- Sea Surface Height Anomalies of the Arctic Ocean From ICESat‐2: A First Examination and Comparisons With CryoSat‐2 M. Bagnardi et al. 10.1029/2021GL093155
- Seasonal Evolution of the Arctic Sea Ice Thickness Distribution S. Toppaladoddi et al. 10.1029/2022JC019540
- Arctic sea ice coverage from 43 years of satellite passive-microwave observations C. Parkinson 10.3389/frsen.2022.1021781
- Feasibility of retrieving Arctic sea ice thickness from the Chinese HY-2B Ku-band radar altimeter Z. Dong et al. 10.5194/tc-17-1389-2023
- Retrieval of snow depth on Antarctic sea ice from the FY-3D MWRI data Z. Yan et al. 10.1007/s13131-023-2179-5
- Modeling and Correcting Building Boundary in ICESat-2 Spaceborne Laser Altimeter Data Considering the Extended Laser Spot Effect P. Zhao et al. 10.1109/TGRS.2024.3383600
- Observing the evolution of summer melt on multiyear sea ice with ICESat-2 and Sentinel-2 E. Buckley et al. 10.5194/tc-17-3695-2023
- ICESat-2 Derived Canopy Covers With Radiometric and Reflectance Ratio Corrections Q. Zhang et al. 10.1109/TGRS.2024.3349559
- Automatic land-sea classification in a nearshore environment using satellite-based photon-counting LiDAR data G. Zhang et al. 10.1364/OE.479449
15 citations as recorded by crossref.
- 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. 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. 10.3390/rs14051069
- Linking scales of sea ice surface topography: evaluation of ICESat-2 measurements with coincident helicopter laser scanning during MOSAiC R. Ricker et al. 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. 10.1016/j.rse.2023.113726
- 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. 10.5194/tc-15-2511-2021
- Derived Reflectance Over Open Oceans Using ICESat-2 Background Noise and Auxiliary Data H. Zheng et al. 10.1109/TGRS.2023.3294691
- Sea Surface Height Anomalies of the Arctic Ocean From ICESat‐2: A First Examination and Comparisons With CryoSat‐2 M. Bagnardi et al. 10.1029/2021GL093155
- Seasonal Evolution of the Arctic Sea Ice Thickness Distribution S. Toppaladoddi et al. 10.1029/2022JC019540
- Arctic sea ice coverage from 43 years of satellite passive-microwave observations C. Parkinson 10.3389/frsen.2022.1021781
- Feasibility of retrieving Arctic sea ice thickness from the Chinese HY-2B Ku-band radar altimeter Z. Dong et al. 10.5194/tc-17-1389-2023
- Retrieval of snow depth on Antarctic sea ice from the FY-3D MWRI data Z. Yan et al. 10.1007/s13131-023-2179-5
- Modeling and Correcting Building Boundary in ICESat-2 Spaceborne Laser Altimeter Data Considering the Extended Laser Spot Effect P. Zhao et al. 10.1109/TGRS.2024.3383600
- Observing the evolution of summer melt on multiyear sea ice with ICESat-2 and Sentinel-2 E. Buckley et al. 10.5194/tc-17-3695-2023
- ICESat-2 Derived Canopy Covers With Radiometric and Reflectance Ratio Corrections Q. Zhang et al. 10.1109/TGRS.2024.3349559
- Automatic land-sea classification in a nearshore environment using satellite-based photon-counting LiDAR data G. Zhang et al. 10.1364/OE.479449
Latest update: 20 Nov 2024
