星载GNSS-R融冰期海冰密集度反演研究  

Sea ice concentration retrieval using spaceborne GNSS-R during the melting period

作　　者：王玥 谢涛 李建 张雪红 白淑英 王明华 Wang Yue;Xie Tao;Li Jian;Zhang Xuehong;Bai Shuying;Wang Minghua(School of Remote Sensing and Geomatics Engineering,Nanjing University of Information Science and Technology,Nanjing 210044,China;Laboratory for Regional Oceanography and Numerical Modeling,Qingdao Marine Science and Technology Center,266200,Qingdao,Shangdong Province,China;Technology Innovation Center for Integration Applications in Remote Sensing and Navigation,Ministry of Natural Resources,Nanjing 210044,China;Jiangsu Province Engineering Research Center of Collaborative Navigation/Positioning and Smart Application,Nanjing 210044,China)

机构地区：[1]南京信息工程大学遥感与测绘工程学院,江苏南京210044 [2]青岛海洋科技中心区域海洋动力学与数值模拟功能实验室,青岛山东266200 [3]自然资源部遥感导航一体化应用工程技术创新中心,江苏南京210044 [4]江苏省协同精密导航定位与智能应用工程研究中心,江苏南京210044

出　　处：《海洋学报》2024年第5期127-136,共10页

基　　金：国家自然科学基金项目(42176180);国家重点研发计划项目(2021YFC2803302)。

摘　　要：针对北极融冰期的海冰密集度反演,并改善全球导航卫星系统反射测量(GNSS-R)对海水的海冰密集度高估问题,本文提出一种利用机器学习算法生成高时空分辨率的融冰期海冰密集度估算方法,提取GNSS-R时延多普勒图(DDM)的特征参数,并结合海表温度数据建立LightGBM模型,将反演结果与参考海冰密集度值进行相关性分析和评估。本文的模型结果与OSI SAF的海冰密集度产品显示出较好的一致性,相关系数、平均绝对误差和均方根误差分别为0.965、0.061和0.090。该方法能够实现对北极海冰边缘区的海冰密集度高精度估计。In this paper,a high spatial-temporal resolution sea ice concentration estimation method for the Arctic melting season is proposed,aiming to improve the overestimation of sea ice concentration in seawater by the Global Navigation Satellite System-Reflectometry(GNSS-R).The method utilizes machine learning algorithms to extract feature parameters from the Delay Doppler Maps(DDM) obtained through GNSS-R and combines them with sea surface temperature data to establish a LightGBM model.The inversion results are then subjected to correlation analysis and evaluation against reference sea ice concentration values.The model's performance is compared with the sea ice concentration product from OSI SAF,demonstrating good consistency,with correlation coefficient,mean absolute error,and root mean square error being 0.965,0.061,and 0.090,respectively.This approach enables high-precision estimation of sea ice concentration in the Arctic marginal ice zone.

关 键 词：GNSS-R DDM 融冰期 海冰密集度 LightGBM 北极 

分 类 号：P715.6[天文地球—海洋科学]