Papers
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Total Citations
18
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About
Loayeh Jumbam’s research lies at the intersection of atmospheric science and public health, with a focus on improving how satellite remote sensing captures air quality during extreme events. In their highly cited 2013 study, Jumbam tackled the challenge of retrieving aerosol optical depth (AOD) from the MODIS instrument during California’s wildfire episodes—a period when standard algorithms often fail due to dense smoke and complex surface conditions. By refining the Collection 5 retrieval approach, they demonstrated that high-resolution AOD estimates could be used to predict ground-level concentrations of fine particulate matter (PM2.5), a critical exposure metric for health studies. This work, which has garnered 18 citations, provided a methodological bridge between satellite observations and epidemiological exposure assessment, enabling more accurate tracking of wildfire smoke impacts on vulnerable populations. Jumbam’s contributions are particularly notable for advancing the use of remote sensing in environmental justice contexts, where traditional monitoring networks are sparse. Their research continues to influence how scientists integrate satellite data into real-time air quality monitoring and public health warnings during increasingly frequent wildfire seasons.
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