Monitoring particulate matter air quality from spaceborne measurements is largely confined
to relating columnar satellite retrievals of aerosol optical thickness (AOT) with ground …

Abstract Long-term PM 2.5 levels with high precision at fine spatiotemporal resolution are
essential for quantitatively understanding the health risk of exposure to ambient fine …

We develop an optimal estimation (OE) algorithm based on topofatmosphere reflectances
observed by the MODIS satellite instrument to retrieve nearsurface fine particulate matter …

ABSTRACT Fine particulate matter (PM2. 5) is a well-established risk factor for public health.
To support both health risk assessment and epidemiological studies, data are needed on …

Land use regression (LUR) models provide good estimates of spatially resolved long-term
exposures, but are poor at capturing short term exposures. Satellite-derived Aerosol Optical …

Taking advantage of the continuous spatial coverage, satellite-derived aerosol optical depth
(AOD) products have been widely used to assess the spatial and temporal characteristics of …

Abstract Fine particulate matter (PM 2.5) is associated with various adverse health outcomes
and poses serious concerns for public health. However, ground monitoring stations for PM …

BACKGROUND: Epidemiological studies of the health effects of air pollution have
traditionally relied upon ground-monitoring stations to measure ambient concentrations …

The short-term and acute health effects of fine particulate matter less than 2.5 μm (PM2. 5)
have highlighted the need for exposure assessment models with high spatiotemporal …

An empirical model based on the regression between daily PM2. 5 (particles with
aerodynamic diameters of less than 2.5 μm) concentrations and aerosol optical thickness …