Very high spatially resolved satellite-derived ground-level concentrations of particulate
matter with an aerodynamic diameter of less than 2.5 μm (PM2. 5) have multiple potential …

The integration of satellite-derived aerosol optical depth (AOD) and station-measured PM
2.5 (particulate matter with an aerodynamic diameter of less than 2.5 μm) provides a …

PM 2.5 poses a serious threat to public health, however its spatial concentrations are not
well characterized due to the sparseness of regulatory air quality monitoring (AQM) stations …

This study contrasts the heterogeneity of land use impacts on air quality between residential
and commercial zones, supporting Sustainable Development Goals for sustainable cities …

Abstract Fine particulate matter (PM 2.5) map** at high resolution (sub-kilometers level)
can be important for fine-scale pollution research. However, current researches about high …

The adverse effects caused by PM2. 5 have drawn extensive concern and it is of great
significance to identify its spatial distribution. Satellite-derived aerosol optical depth (AOD) …

Abstract Convolutional Neural Networks (CNNs) are a promising technique to predict highly
localized fine particulate matter (ie, PM 2.5 levels) based on high-resolution satellite …

Urban air pollution in West Africa has yet to be well characterized. In the frame of DACCIWA
(Dynamics-Aerosol-Chemistry-Cloud Interactions in West Africa) program, intensive …

Satellite-based rapid swee** screening of localized PM 2.5 hotspots at fine-scale local
neighborhood levels is highly desirable. This motivated us to develop a random forest …

Planet, a commercial company, has achieved a key milestone by launching a large fleet of
small satellites (smallsats) that provide high spatial resolution imagery of the entire Earth's …