基于CFOSAT散射计的海冰识别方法研究

刘建强; 刘思琦; 林文明; 郎姝燕; 何宜军

doi:10.12284/hyxb2023069

基于CFOSAT散射计的海冰识别方法研究

doi: 10.12284/hyxb2023069

刘建强^1,,
刘思琦²,
林文明^{2, 3, ,},
郎姝燕¹,
何宜军^{2, 3}

1.
国家卫星海洋应用中心，北京 100081
2.
南京信息工程大学，江苏南京 210044
3.
自然资源部空间海洋遥感与应用重点实验室，北京 100081

基金项目: 国家重点研发计划（2021YFC2803300）。

详细信息

作者简介:
刘建强（1964—2023年），男，湖南省益阳市人，研究员，研究方向为卫星海洋遥感。E-mail：jqliu@mail.nsoas.org.cn

通讯作者:
林文明，男，福建省仙游县人，教授，研究方向为卫星海洋遥感。E-mail：wenminglin@nuist.edu.cn

中图分类号: P731.15
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- 文章访问数: 195
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- 被引次数: 0
出版历程
- 收稿日期: 2022-08-18
- 修回日期: 2022-12-03
- 网络出版日期: 2023-06-15
- 刊出日期: 2023-06-30

Sea ice identification based on CFOSAT scatterometer

Liu Jianqiang^1
,,
Liu Siqi²,
Lin Wenming^{2, 3
, ,},
Lang Shuyan¹,
He Yijun^{2, 3}

1.
National Satellite Ocean Application Service, Beijing 100081, China
2.
Nanjing University of Information Science and Technology, Nanjing 210044, China
3.
Key Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources, Beijing 100081, China

摘要

摘要: 中法海洋卫星散射计（CSCAT）丰富的观测几何信息为极地海冰遥感提供了新的机遇。本文提出一种适用于CSCAT的贝叶斯海冰识别算法，不需要构建海冰地球物理模式函数和计算后向散射系数离海冰地球物理模型函数（GMF）的距离，仅利用海面风场反演伴随的最小残差即可构建CSCAT海冰识别模型。研究结果与欧洲气象卫星组织的海冰边缘线产品进行了比较，表明2021年9月南极和北极区域逐日的海冰覆盖面积估计标准差分别为1%和7%，与其他卫星散射计的海冰识别结果基本一致。这种新的海冰识别方法具有模型参数少、处理速度快、检测结果可靠的优点，对卫星地面系统的业务化处理具有重要的借鉴意义。
- 中法海洋卫星 /
- 散射计 /
- 海冰检测 /
- 贝叶斯原理 /
- 最大似然估计
Abstract: The scatterometer onboard China-France Oceanography Satellite (CFOSAT) observes sea surface with abundant viewing geometries, opening up new opportunities for sea ice detection. This paper proposes a Bayesian sea ice detection method for the CFOSAT satellite scatterometer (CSCAT), which only uses the minimal inversion residual derived from the wind inversion procedure, hence it does not need to develop a sea ice geophysical model function (GMF) and to calculate the distance between CSCAT backscatters and sea ice GMF. The results are compared with the sea ice edge data from European Organisation for the Exploitation of Meteorological Satellites, which shows that the normalized standard deviation error of CSCAT daily sea ice extent is about 1% and 7% in the Antarctic and the Arctic, respectively, agreeing well with the prior scatterometers. In summary, the proposed method is advanced in terms of model input parameters, processing speed and detection accuracy, so it is of great significance to the operational ice detection in the satellite ground segment.
- China-France Oceanography Satellite (CFOSAT) /
- scatterometer /
- sea ice detection /
- Bayesian theory /
- maximum likelihood estimator

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图 1 2021年9月1日OSI SAF海冰冰缘数据示意图

a. 北极，b. 南极

Fig. 1 Illustration of OSI SAF sea ice edge on September 1, 2021

a. Arctic, b. Antarctic

下载: 全尺寸图片幻灯片

图 2 中法海洋卫星散射计垂直极化σ⁰（dB）的二维等值线图

a. 南极海域，海水表面；b. 南极海域，稀疏冰面；c. 南极海域，密集冰面；d. 北极海域，海水表面；e. 北极海域，稀疏冰面；f. 北极海域，密集冰面

Fig. 2 Two-dimensional contour plots of CSCAT vertically-polarized σ⁰ (dB)

a. Antarctic, open water; b. Antarctic, open ice; c. Antarctic, close ice; d. Arctic, open water; e. Arctic, open ice; f. Arctic, close ice

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图 3 南极海域中法海洋卫星散射计垂直极化σ⁰的二维密度图

a. 海水表面；b. 稀疏海冰；c. 密集海冰。图中对应的风速为6～7 m/s，入射角为40°～41°

Fig. 3 Two-dimensional density plots of the CSCAT vertically-polarized σ⁰ at Antarctic

a. Open water; b. open ice; c. close ice. Here the wind speed is 6～7 m/s, and the incidence angle is 40°～41°

下载: 全尺寸图片幻灯片

图 4 南极海域不同海表面的MLE先验概率分布

Fig. 4 A priori probability of MLE over different sea surface in Antarctica

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图 5 2021年9月1日中法海洋卫星散射计反演的两极海冰概率

a. 北极，b. 南极

Fig. 5 Sea ice probability derived from CSCAT on September 1，2021

a. Arctic, b. Antarctic

下载: 全尺寸图片幻灯片

图 6 2021年9月1日中法海洋卫星散射计获取的海冰覆盖范围图

a. 北极，b. 南极

Fig. 6 Sea ice extents derived from CSCAT on September 1，2021

a. Arcti, b. Antarctic

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图 7 2021年9月中法海洋卫星散射计逐日海冰覆盖面积检测结果

Fig. 7 The CSCAT-derived daily sea ice coverage in September, 2019

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