To address the issue of widespread missing chlorophyll-a (Chl-a) concentration data in ocean water caused by environmental factors such as solar radiation and cloud cover during satellite remote sensing monitoring, this study focused on the Beibu Gulf area and used the empirical orthogonal function data interpolation method (DINEOF) based on Himawari-8 chlorophyll-a daily product data to interpolate the missing data. The study made adjustments to the original interpolation method by modifying the number of time sequences in the reconstructed dataset to improve the accuracy and efficiency of the interpolation reconstruction. In testing the accuracy of the adjusted DINEOF reconstruction method, the study replaced the existing data in the research area with null values to represent missing data for interpolation reconstruction. The results showed that the adjustments made to the research method improved the accuracy and efficiency of the interpolation reconstruction, with MAE, RMSE and R2 values of 0.372 mg/m3 , 0.522 mg/m3 , and 0.917, respectively.
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