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Estimating 1-km-resolution PM2.5 concentrations across China using the space-time random forest approach

2019-09-01

Abstract excerpt

Fine particulate matter (PM2.5) is closely related to the atmospheric environment and human life. Satellite-based aerosol optical depth (AOD) products have been widely applied in estimating daily PM2.5 concentrations over large areas using statistical regression models. However, they are often given at coarse spatial resolutions which limit their applications in small or medium scales. This study aims to produce P...

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Literature Corpus work
ff068935-24eb-59c8-b22c-8306218e0cce
DOI
10.1016/j.rse.2019.111221
Open publication

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Estimating 1-km-resolution PM2.5 concentrations across China using the space-time random forest approachDOI 10.1016/j.rse.2019.111221
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