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21-year-long (2000–2020) gap-free annual mean Aerosol Optical Depth (AOD), PM2.5, and PM10 concentration data with a 1-km resolution covering the land area of China. The LGHAP.v1 dataset was generated by Kaixu Bai of East China Normal University from daily gap-free AOD data using a machine learning regression model that integrated data from multiple sensors and platforms. Data is provided in NetCDF format with Python, Matlab, R, and IDL codes for reading and visualization.
Data is in NetCDF format; users may need specific libraries or the provided helper codes (Python, Matlab, R, IDL) to read and visualize the files.