Atmospheric measurements with the high Spatio-temporal resolution, to be used for air quality at Chhattisgarh state, based on remote sensing and GIS

Abstract

Remote sensing data for air quality monitoring is important for health research. The advantage of remotely sensed air pollution data includes, but is not limited to, large coverage at a useful spatial and temporal resolution at Chhattisgarh state. Sentinel-5P is a rather new remote sensing data source but requires downloading and computationally intensive processing that is often a barrier to public use. For illustrative purposes, we focus on air pollutants including nitrogen dioxide (NO2), carbon monoxide (CO), ozone (O3), and sulfur dioxide (SO2), Spatio-temporal measurements across mainland Chhattisgarh. The spatial resolution of the measurements allows observations and mapping of air pollution at a scale.