Seasonal distribution of AOT and its relationship with air pollutants in central Bangladesh using remote sensing and machine learning tools

Author:

Hassan Md. SharefulORCID,Gomes Reeju F.L.,Bhuiyan Mohammad Amir Hossain

Funder

European Space Agency

Publisher

Elsevier BV

Subject

Engineering (miscellaneous),Environmental Science (miscellaneous),General Chemical Engineering,Environmental Chemistry,Environmental Engineering

Reference81 articles.

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3. Temporal variability of atmospheric aerosol optical depth over European territory of Russia according to data of the ground-based and satellite observations: tendency of aerosol “enlightenment.”;Plakhina;IOP Conf. Ser. Earth Environ. Sci.,2019

4. Relationship between aerosol characteristics and altitude based on multi-measurements and model simulations;Nakata;Remote Sens. Atmos. Clouds III,2010

5. Correcting measurement error in satellite aerosol optical depth with machine learning for modeling PM2.5 in the northeastern USA;Just;Rem. Sens.,2018

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