Modeling of particulate matter (PM2.5) measurements from the Manila Observatory using aerosol optical depth derived from the Multiangle Imaging Spectroradiometer (MISR)

Abstract

This paper seeks to identify the modeling approach that best relates particulate matter (PM_2.5) to aerosol optical depth (AOD) data from the Multiangle Imaging Spectroradiometer (MISR). Among all the approaches employed in the study, the multivariate regression method using fractional MISR AOD data as predictors yielded the lowest error at 17.4% and the highest correlation with the actual values having R²=0.8154 and RMSE = 6.72.