一种基于FY-4A遥感数据的渤海海冰反演算法

An inversion algorithm of Bohai Sea ice based on FY-4A remote sensing data

渤海地区频发的海冰灾害已严重影响该地区的经济发展,若能实现对渤海区域海冰灾害的准确预警,将极大地减小灾害影响。因此提出了改进的海冰反演算法,该方法基于风云4号A星(FY-4A)多通道扫描成像辐射计(AGRI)数据作为算法输入数据源,利用FY-4A卫星遥感数据,结合海冰综合检测算法、云检测去除算法和冰密度估算算法,实现海冰反演,以提高海冰反演的精度。以2020年2月的数据为例,对渤海海冰进行反演,将得到的海冰反演结果进行验证对比。实验结果表明,改进的海冰反演算法在海冰检测准确率上有明显提高,海冰检测的结果与官方提供的结果基本一致,平均差异仅小于3%。该文研究结果为我国自主卫星进行卫星遥感的业务化奠定了基础,生成的结果可保障渤海区域海冰的实时监测和预测。

The frequent sea ice disasters in the Bohai Sea have seriously affected the economic development of the region.If the accurate early warning of the sea ice disasters in the Bohai Sea area can be realized,the disaster impact will be greatly reduced.Therefore,an improved sea ice inversion algorithm is proposed.The method is based on the Advanced Geosynchronous Radiation Imager(AGRI)data of FY-4A as the input data source,and the sea ice inversion is realized by combining the sea ice comprehensive detection algorithm,cloud detection removal algorithm and ice density estimation algorithm with FY-4A satellite remote sensing data,so as to improve the accuracy of sea ice inversion.Taking February 2020 data as an example,the Bohai Sea ice inversion is carried out,and the sea ice inversion results are verified and compared.The results show that the improved sea ice algorithm has significantly improved the accuracy of sea ice detection,and the result of sea ice detection is basically consistent with the results provided by the government,and the average difference is only less than 3%.The results of this paper lay a foundation for the operational application of China's autonomous satellite remote sensing.The results can guarantee the real-time monitoring and prediction of sea ice in Bohai Sea.