A novel big data mining framework for reconstructing large-scale daily MAIAC AOD data across China from 2000 to 2020

Binjie Chen, Yang Ye, Cheng Tong, Jinsong Deng, Ke Wang & Yang Hong
Satellite-based aerosol optical depth (AOD) retrieval products are essential in air pollution and climate change research. Unfortunately, cloud contaminations and unfavorable surface conditions result in a considerable proportion of missing AOD data. Numerous studies have been conducted to reconstruct large-scale AOD data gaps by utilizing adjacent spatiotemporal information or modeling AOD data via various external geographical data. However, the erratic variation of AOD and the inconvenience of external data weaken the accuracy and efficiency of...
1 citation reported since publication in 2022.
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