Sea ice concentration inversion based on data screening and ASI algorithm

To address the issue of low accuracy in sea ice concentration (SIC) inversion caused by external factors affecting the 89 GHz AMSR-2 data used in the Artist Sea Ice (ASI) algorithm, a SIC inversion method based on data screening and ASI algorithm is proposed (SASI). The SASI algorithm is according to the correlation between high- frequency data and low-frequency data, and constructs a screening model for high-frequency data affected by external factors interference. Based on the radiation transfer model, the screened interfered 89 GHz data was corrected, and the entire SIC in Arctic was obtained using the ASI algorithm. We compared the SASI algorithm with traditional ASI algorithms and conducted local validation using Landsat-8 data. The results showed that the SASI algorithm improved the accuracy of SIC inversion.