Abstract
To solve the problem of low coverage of MODIS aerosol optical depth (AOD) products, this paper proposes a three-dimensional spatiotemporal interpolation method to predict missing values for time series AOD products. In this study, ordinary Kriging interpolation and three-dimensional spatiotemporal interpolation are applied to analyze the dynamics of AOD in Beijing-Tianjin-Hebei urban agglomeration (BTHUA), China, and the performances of the two methods are compared. The results show that the three-dimensional spatiotemporal interpolation has better performance in predicting missing data of AOD products. The proposed interpolation method provides a feasible solution for the establishment of long-term MODIS aerosol products with temporal and spatial consistency, and also provides effective data support for the study of urban environmental changes.
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