Papers
10
Total Citations
391
H-Index
8
About
Md. Arfan Ali is a leading environmental remote sensing scientist whose research focuses on aerosol characterization, air quality assessment, and satellite-based atmospheric monitoring. His major contributions span the development of advanced aerosol retrieval algorithms and the classification of aerosol types across diverse geographic regions. Notably, his work on the SEMARA approach—integrating surface reflectance and aerosol retrieval algorithms—enables high-resolution (30 m) aerosol optical depth (AOD) retrieval from Landsat 8, significantly improving urban air quality monitoring. He also pioneered the AEROSA framework, a novel satellite-based method for classifying aerosols into desert dust, biomass burning, clean continental, and maritime types, advancing beyond traditional AOD-Ångström exponent approaches. His most cited paper, “Air pollution scenario over Pakistan” (141 citations), identifies and ranks extremely polluted cities using long-term aerosol and trace gas data. With over 390 total citations, his research has been instrumental in mapping aerosol pollution hotspots in South Asia, the Arabian Peninsula, and China, and in evaluating satellite retrieval uncertainties during the COVID-19 lockdown. His work has direct implications for climate change studies, public health, and environmental policy.
Research Focus
Key Achievements
Top Papers
- 1
- 2Classification of aerosols over Saudi Arabia from 2004–201674 citations · 2020
- 3Analysis of AOD from MODIS-Merged DT–DB Products Over the Arabian Peninsula50 citations · 2019
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- 6Identification of Aerosol Pollution Hotspots in Jiangsu Province of China21 citations · 2021
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