Detection of Arctic Sea Ice Using 89 GHz Microwave Radiometer Channels

Yue Zhao; Xingdong Wang; Changfeng Luo

doi:10.62762/TIOT.2024.528361

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Volume 2, Issue 2, IECE Transactions on Internet of Things

Volume 2, Issue 2, 2024

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Jinchao Chen

School of Computer Science, Northwestern Polytechnical University, Xi’an 710129, China

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IECE Transactions on Internet of Things, 2024, Volume 2, Issue 2: 36-43

Free Access | Research Article | 07 April 2024

Detection of Arctic Sea Ice Using 89 GHz Microwave Radiometer Channels

Yue Zhao 1 *

Xingdong Wang 1

Changfeng Luo 1

1 College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China

* Corresponding author: Yue Zhao, email: 15639785262@163.com

DOI: 10.62762/TIOT.2024.528361

Received: 09 February 2024, Accepted: 26 March 2024, Published: 07 April 2024

Abstract

Sea ice is a crucial component of the cryosphere, and extensive research has been conducted on sea ice using microwave remote sensing due to its robustness against cloud cover and illumination variations. This paper focuses on classifying Arctic sea ice based on microwave remote sensing data. Leveraging the high stability of microwave radiometers, we analyze the characteristics of different sea ice types across the Arctic region in January 2017 using high-resolution AMSR-E/AMSR2 data at the 89 GHz frequency band. Data at this frequency are less susceptible to cloud and water vapor interference, while lower frequency bands have traditionally been more commonly used in similar studies. However, our study emphasizes the significance of the 89 GHz frequency band, which offers high-resolution data for distinguishing between multi-year ice, first-year ice, and open water. The brightness temperature differences among these sea ice types are analyzed, and a method based on these differences is proposed for classification. The fine tree algorithm in MATLAB’s decision tree toolbox is employed to generate the classification results.

Graphical Abstract

Detection of Arctic Sea Ice Using 89 GHz Microwave Radiometer Channels

Keywords

Sea ice classification

Arctic

Microwave remote sensing

Decision tree

References

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APA Style

Zhao, Y., Wang, X., & Luo, C. (2024). Arctic Sea Ice Detection based on Microwave Radiometer in 89 GHz Channels. IECE Transactions on Internet of Things, 1(1), 36–43 https://doi.org/10.62762/TIOT.2024.528361

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