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Optimization of the Bohai Sea ice thickness retrieval algorithm based on MODIS data
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Xingyuan Zhu1, Jie Su1, 2, *, Mei Song1, Qian Yang1, 3, Yun Liang1, 4
Haiyang Xuebao | 2022, 44(12) : 70 - 83
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Haiyang Xuebao | 2022, 44(12): 70-83
• Article •
Optimization of the Bohai Sea ice thickness retrieval algorithm based on MODIS data
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Xingyuan Zhu1, Jie Su1, 2, *, Mei Song1, Qian Yang1, 3, Yun Liang1, 4
Affiliations
  • 1. College of Oceanography and Atmosphere, Ocean University of China, Qingdao 266100, China
  • 2. Key Laboratory of Physical Oceanography, Ministry of Education, Ocean University of China, Qingdao 266100, China
  • 3. State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
  • 4. State Key Laboratory of Tropical Oceanography, South China Sea Institute, Chinese Academy of Sciences, Guangzhou 510301, China
Published: 2022-12-01 doi: 10.12284/hyxb2022141
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Sea ice thickness is a crucial parameter for monitoring and studying sea ice in the Bohai Sea. Aiming to get more reliable data conveniently, we improved the ice thickness retrieval algorithm based of MODIS data, including the ice separation process and ice thickness calculation method. In terms of ice-water separation process, some steps like binary processing, threshold discrimination were added based on sea ice extracting with Canny edge detector, which successfully realized the automatic high-precision extraction of sea ice range in the Bohai Sea. Meanwhile, through experiments, we optimize the parameters of the exponential model between sea ice thickness and albedo, including sea ice attenuation coefficient and sea water albedo parameters, to make it more consistent with the physical characteristics of the Bohai Sea area. The sea ice thickness retrieval results of the improved algorithm are compared with the measured data of the Bohai offshore oil platform, and the error reasons are analyzed. The results show that the average absolute error decreases from 7.05 cm to 2.74 cm, and the correlation coefficient increases from 0.434 to 0.485.

sea ice thickness  /  Bohai Sea  /  retrieval algorithm  /  MODIS  /  ice-water separation
Xingyuan Zhu, Jie Su, Mei Song, Qian Yang, Yun Liang. Optimization of the Bohai Sea ice thickness retrieval algorithm based on MODIS data[J]. Haiyang Xuebao, 2022 , 44 (12) : 70 -83 . DOI: 10.12284/hyxb2022141
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Year 2022 volume 44 Issue 12
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Article Info
doi: 10.12284/hyxb2022141
  • Receive Date：2022-01-07
  • Online Date：2026-02-01
  • Published：2022-12-01
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History
  • Received：2022-01-07
  • Revised：2022-06-12
Funding
Affiliations
    1. College of Oceanography and Atmosphere, Ocean University of China, Qingdao 266100, China
    2. Key Laboratory of Physical Oceanography, Ministry of Education, Ocean University of China, Qingdao 266100, China
    3. State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
    4. State Key Laboratory of Tropical Oceanography, South China Sea Institute, Chinese Academy of Sciences, Guangzhou 510301, China
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https://castjournals.cast.org.cn/joweb/hyxb/EN/10.12284/hyxb2022141
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