Papers
7
Total Citations
480
H-Index
6
About
Alaa Mhawish is a leading researcher in satellite-based aerosol remote sensing, with a focus on improving air quality monitoring and aerosol characterization across South Asia and the Middle East. His work centers on the validation and enhancement of aerosol optical depth (AOD) retrieval algorithms, particularly the MODIS Multi-angle Implementation of Atmospheric Correction (MAIAC) product. His most cited paper (2019, 230 citations) provides a critical evaluation of MAIAC over South Asia, establishing its reliability for regional studies. Mhawish has also developed innovative retrieval methods, including the SEMARA approach, which integrates surface reflectance and aerosol algorithms to retrieve AOD at 30 m resolution from Landsat 8, and the AEROSA framework, a novel classification scheme for distinguishing desert dust, biomass burning, and other aerosol types. His work on air pollution in Pakistan (2021, 141 citations) ranked extremely polluted cities using long-term aerosol and trace gas data, offering vital insights for public health policy. During the COVID-19 lockdown, he quantified uncertainties in multiple satellite AOD products, highlighting the impact of reduced emissions on retrieval accuracy. With over 480 total citations, Mhawish’s contributions are advancing the precision and applicability of satellite aerosol data for climate and air quality research.
Research Focus
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