Calibrating MODIS aerosol optical depth for predicting daily PM2.5 concentrations via statistical downscaling.

ABSTRACT: There has been a growing interest in the use of satellite-retrieved aerosol optical depth (AOD) to estimate ambient concentrations of PM2.5 (particulate matter <2.5 μm in aerodynamic diameter). With their broad spatial coverage, satellite data can increase the spatial-temporal availability of air quality data beyond ground monitoring measurements and potentially improve exposure assessment for population-based health studies. This paper describes a statistical downscaling approach that brings together (1) recent advances in PM2.5 land use regression models utilizing AOD and (2) statistical data fusion techniques for combining air quality data sets that have different spatial resolutions. Statistical downscaling assumes the associations between AOD and PM2.5 concentrations to be spatially a

SUBMITTER: Chang HH 

PROVIDER: S-EPMC4065210 | biostudies-literature | 2014 Jul

REPOSITORIES: biostudies-literature