David M. Broday
Papers
2
Total Citations
281
H-Index
2
About
David M. Broday is a leading figure in atmospheric and environmental health research, with a primary focus on aerosol remote sensing and air quality modeling. His work centers on improving the accuracy of satellite-derived aerosol optical depth (AOD) retrievals, particularly through the evaluation and refinement of the MODIS Multi-angle Implementation of Atmospheric Correction (MAIAC) algorithm. Broday’s major contributions include a landmark 2019 study comparing MAIAC aerosol products over South Asia, which has garnered over 230 citations and established critical benchmarks for satellite-based air pollution monitoring in data-sparse regions. He further advanced the field with a 2021 comparative analysis quantifying how environmental factors—such as surface reflectance and cloud cover—introduce uncertainty into MAIAC retrievals, providing essential guidance for algorithm developers and end-users. His research directly supports public health by enabling more reliable exposure assessments for epidemiological studies. Broday’s work is widely recognized for bridging the gap between satellite remote sensing and ground-level air quality applications, making him a key contributor to the global effort to monitor and mitigate the health impacts of particulate matter pollution.
Research Focus
Key Achievements
Top Papers
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