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Volume 44 Issue 12
Jan.  2023
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Article Contents
Zhu Xingyuan,Su Jie,Song Mei, et al. 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
Citation: Zhu Xingyuan,Su Jie,Song Mei, et al. 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

Optimization of the Bohai Sea ice thickness retrieval algorithm based on MODIS data

doi: 10.12284/hyxb2022141
  • Received Date: 2022-01-07
  • Rev Recd Date: 2022-06-12
  • Available Online: 2022-10-24
  • Publish Date: 2023-01-17
  • 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.
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