Yi Zhou
Orcid: 0009-0007-9646-6057Affiliations:
- Shanghai Jiao Tong University, School of Oceanography, MoE Key Laboratory of Polar Ecosystem and Climate Change, China
According to our database1,
Yi Zhou
authored at least 15 papers
between 2024 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on orcid.org
On csauthors.net:
Bibliography
2025
Daily gridded Arctic snow depth dataset over sea ice from AMSR2 using an adaptive seasonal algorithm (2012-2023), Version 1.
Dataset, June, 2025
Sea ice bulk density estimates during the MOSAiC freezing season from October 2019 to April 2020.
Dataset, June, 2025
Sea ice bulk density estimates during the MOSAiC freezing season from October 2019 to April 2020.
Dataset, June, 2025
MATLAB code for "AdaSA-SD (v1.0): Adaptive Seasonal Algorithm for Snow Depth Retrieval Over Arctic Sea Ice".
Dataset, June, 2025
MATLAB code for "AdaSA-SD v1.0: Adaptive Seasonal Algorithm for Snow Depth Retrieval Over Arctic Sea Ice".
Dataset, June, 2025
Spring snow depth over pan-Arctic sea ice derived from AMSR2 using machine learning methods (2013-2023).
Dataset, February, 2025
Daily gridded Arctic snow depth dataset over sea ice from AMSR2 using an adaptive seasonal algorithm (2012-2023), Version 1.
Dataset, January, 2025
Daily gridded Arctic snow depth dataset over sea ice from AMSR2, CryoSat-2 and ICESat-2 (2012-2023), Version 1.
Dataset, January, 2025
Spring snow depth over pan-Arctic sea ice derived from AMSR2 using machine learning methods (2013-2023).
Dataset, January, 2025
AdaSA-SD (v1.0): An Adaptive Seasonal Algorithm for Snow Depth Retrieval Over Arctic Sea Ice.
IEEE Trans. Geosci. Remote. Sens., 2025
2024
Bulk density of level sea ice during the MOSAiC freezing season (October 2019 to April 2020), derived from both point observations or regional integration.
Dataset, December, 2024
Scale-related bulk density of level sea ice during the MOSAiC freezing season (October 2019 to April 2020).
Dataset, September, 2024
Intercomparisons and Evaluations of Satellite-Derived Arctic Sea Ice Thickness Products.
Remote. Sens., February, 2024
A Spatiotemporal Comparison and Assessment of Multisource Satellite Derived Sea Ice Thickness in the Arctic Thinner Ice Region.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024