Antarctic sea ice detection using a shipborne GPS reflectometry setup

Author:

Zhang Yun1,Ma Dehao1,Meng Wanting2,Xie Xiangfang1,Yang Shuhu1ORCID,Hang Sijia1,Han Yanling1,Hong Zhonghua1

Affiliation:

1. College of Information Technology, Shanghai Ocean University, Shanghai, China

2. Shanghai Spaceflight Institute of TT&C and Telecommunication, Shanghai, China

Abstract

The feasibility of Antarctic sea ice detection based on shipborne global positioning system reflectometry (GPS-R) technology is shown in this paper. Because the permittivity of sea water is much higher than that of sea ice, the reflected left-handed circular polarized (LHCP) GPS signal (RL) reflection coefficient of sea water is markedly higher than that of sea ice. The polarization ratio of RL to the direct right-handed circular polarized (RHCP) GPS signal (DR) is used to distinguish between sea water and sea ice in this paper. The experiment was performed on the ship “XueLong” for approximately 9 days from December 2014 to January 2015 during the 31st Chinese National Antarctic Research Expedition (CHINARE 31). The sea ice concentration data with a 25 km × 25 km spatial resolution derived from the National Snow and Ice Data Center (NSIDC) are used for validation and some pictures of sea ice taken from “XueLong” are shown for comparison. The polarization ratios (RL/DR) are calculated, and the correlation coefficient between the polarization ratios (RL/DR) and the sea ice concentrations is −0.66.

Funder

National Natural Science Foundation of China

Publisher

SAGE Publications

Subject

Applied Mathematics,Control and Optimization,Instrumentation

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Detection of ice using ship propulsion and navigation measurements;Ocean Engineering;2023-04

2. A Study on the Correlation between Ship Movement Characteristics and Ice Conditions in Polar Waters;Journal of Marine Science and Engineering;2023-03-27

3. Global Sea Surface Height Measurement From CYGNSS Based on Machine Learning;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2023

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