Nurul Amalin Fatihah Kamarul ZamanKasturi Devi KanniahDimitris G. Kaskaoutis2024-05-102024-05-102017Zaman, N. A. F. K., Kanniah, K. D., & Kaskaoutis, D. G. (2017). Estimating particulate matter using satellite based aerosol optical depth and meteorological variables in Malaysia. Atmospheric Research, 193, 142-162.https://repoemc.ukm.my/handle/123456789/590The insufficient number of ground-based stations for measuring Particulate Matter < 10 μm (PM10) in the developing countries hinders PM10 monitoring at a regional scale. The present study aims to develop empirical models for PM10 estimation from space over Malaysia using aerosol optical depth (AOD550) and meteorological (surface temperature, relative humidity and atmospheric stability) data (retrieved or estimated) from Moderate Resolution Imaging Spectroradiometer (MODIS) during the period 2007-2011.PM10satellite remote sensingArtificial Neural NetworkMultiple Linear RegressionsmeteorologyMalaysiaEstimating particulate matter using satellite based aerosol optical depth and meteorological variables in MalaysiaJournal