4.7 Article

Assessment of Arctic Sea Ice Classification Ability of Chinese HY-2B Dual-Band Radar Altimeter During Winter to Early Spring Conditions

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSTARS.2021.3114228

Keywords

Sea ice; Radar; Ice; Spaceborne radar; C-band; Satellites; Synthetic aperture radar; Dual-band radar altimeter; HY-2B; sea ice classification; waveform features

Funding

  1. National Key Research and Development Program of China [2018YFC1407203]
  2. National Nature Science Foundation of China [41976173]
  3. Shandong Provincial Natural Science Foundation of China [ZR2019MD016]
  4. Ministry of Science and Technology of China
  5. European Space Agency [577889]

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This study investigates the differences in waveform features of C- and Ku-band radar altimeter over different types of sea ice using the Chinese HY-2B satellite. The research proposes a methodology for sea ice classification that combines data from C- and Ku-band altimeter waveforms, showing significantly higher accuracy (up to 93.45%) compared to existing methods.
Accurate identification of sea ice type from altimeter data is important for inversion of sea ice freeboard by radar altimeter, as well as for maritime navigation in polar regions. Previous sea ice classification studies have rarely involved multifrequency altimeter data. In this article, benefiting from the dual-frequency observation capability of the Chinese HY-2B altimeter, differences between waveform features of C- and Ku-band radar altimeter over different types of sea ice were investigated and analyzed for the first time. To validate and evaluate the sea ice classification capability of different feature combinations of the different bands, we extracted 14 features from the waveforms of C- and Ku-band HY-2B altimeter data acquired between December 2019 and April 2020. Our experiments demonstrated that the C- and Ku-band radar waveforms are sensitive to sea ice type, and that sea ice type classification could be improved by combining Ku- and C-band data. This work also proposed a sea ice classification methodology using C- and Ku-band altimeter waveforms. Comparison with results from previous studies indicated that the overall accuracy of the proposed method (up to 93.45%) is much higher than that of existing state-of-the-art methods.

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