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IECE Transactions on Internet of Things, 2024, Volume 2, Issue 1: 26-35

Free to Read | Research Article | 12 March 2024
1 College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China
* Corresponding Author: Yue Zhao, [email protected]
Received: 15 January 2024, Accepted: 27 February 2024, Published: 12 March 2024  
Abstract
To enhance the LOMAX algorithm for sea ice concentration analysis in the polar regions, SSM/I 91.6GHz data was utilized, addressing the underuse of higher frequency data. The refinement process involved redefining PCT values for one-year and multi-year ice regions through both interpolation and least squares methods. Moreover, band operations were conducted to facilitate Arctic multi-year ice concentration retrieval. Comparative analyses with the NT algorithm indicated that the Arctic sea ice extents determined by both algorithms were similar, affirming the credibility of the modified LOMAX algorithm. When examining the results for March and September, the updated LOMAX algorithm demonstrated improved accuracy over the NT algorithm, especially under summer ice melt conditions, highlighting the enhanced performance and reliability of the refined algorithm in various seasonal contexts.

Graphical Abstract
Advancements in Multi-Year Ice Concentration Estimation from SSM/I 91.6GHz Observations

Keywords
LOMAX
Multi-year ice concentration
91.6 GHz

Funding
This work was supported without any funding.

Cite This Article
APA Style
Zhao, Y., Wang, X., & Zhang, Z. (2024). Advancements in Multi-Year Ice Concentration Estimation from SSM/I 91.6GHz Observations. IECE Transactions on Internet of Things, 2(1), 26–35. https://doi.org/10.62762/TIOT.2024.682080

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