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南极海冰的生长消融与全球气候变化密切相关，而海冰上覆盖的积雪会对海冰的生长消融产生较大的影响。利用南极中山站附近海冰上的GPS数据，采用GNSS-IR(GNSS interferometric reflectometry)技术对海冰上覆积雪深度进行反演。首先，采用最小二乘谐波分析(least-squares harmonic estimation, LS-HE)方法提取反射信号的主波峰，计算反射面到天线相位中心的距离；其次，采用DBSCAN(density-based spatial clustering of applications with noise)聚类算法对反演结果进行质量控制；最后，利用现场实测雪深数据对反演结果进行了验证，平均偏差为-0.01 m,RMSE为0.012 m，表明GNSS-IR技术能够有效反演海冰表面积雪深度。
Abstract：The growth and melting of Antarctic sea ice are closely related to global environmental changes, and the snow covered on the sea ice will have a large impact on the growth of sea ice. In this paper,GNSS-IR is used to analyze GPS data on sea ice near Zhongshan Station in Antarctica in order to invert the depth of snow overlying the sea ice. First, the leastsquares harmonic estimation method is used to extract the main wave peak of the reflected signal, which is used to calculate the distance from the reflecting surface to the antenna phase center. Then, the DBSCAN clustering algorithm is used to quality control the inversion results. Finally, the inversion results are verified by the actual snow depth data in the field. The average deviation after clustering is about-0. 01 m, and the RMSE is about 0. 012 m, indicating that the GNSS-IR technique can effectively invert the snow depth on the surface of sea ice.
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基本信息:
DOI：10.14188/j.2095-6045.2022151
中图分类号:P715.7;P941.61
引用信息:
[1]曾棋,张胜凯,龚力等.基于GNSS-IR技术的南极海冰积雪深度反演研究[J].测绘地理信息,2024,49(03):14-18.DOI:10.14188/j.2095-6045.2022151.
基金信息:
国家重点研发计划（2017YFA0603104）; 国家自然科学基金（41730102,41531069）