$$PM_{2.5}$$ concentrations estimation using machine learning methods with combination of MAIAC - MODIS AOD product - a case study in western Iran

Fathollahi, Loghman; Wu, Falin; Maleki, Reza; Pongračić, Barbara

doi:10.1007/s11869-023-01354-9

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$$PM_{2.5}$$ concentrations estimation using machine learning methods with combination of MAIAC - MODIS AOD product - a case study in western Iran

Cited by 4 publications

References 69 publications

Risk of cardiovascular and respiratory diseases attributed to satellite-based PM2.5 over 2017–2022 in Sanandaj, an area of Iran

Risk of cardiovascular and respiratory diseases attributed to satellite-based PM2.5 over 2017–2022 in Sanandaj, an area of Iran

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Spatiotemporal estimation of hourly PM2.5 using AOD derived from geostationary satellite Fengyun-4A and machine learning models for Greater Bangkok

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