Application of remote sensing data to assess environmental situation in Krasnoyarsk

Abstract

The work compared the data on ground-based concentrations of suspended particles (PM2.5 (particulate matter with diameters less than 2.5 microns) and NO2 (sulfur dioxide)) with remote sensing data obtained over the territory of Krasnoyarsk in the summer period of 2019 and 2020. We use the air monitoring system of the Krasnoyarsk Scientific Center of the Siberian Branch of the Russian Academy of Sciences (KSC SB RAS) to determine the concentration of PM 2.5. NO2 concentrations were taken from the data of the State departmental information and analytical system of data on the state of the Ministry of Ecology of the region. It is shown that the data of the MAIAC product, which has a spatial resolution of 1 km, can be used to determine the PM2.5 concentration as a supplement to the data obtained by the ground-based air monitoring system of the KSC SB RAS. A high coefficient of determination between satellite and ground monitoring data was obtained. Joint processing of data from ground-based monitoring networks with remote sensing data will contribute to improving the assessment of the ecological situation in Krasnoyarsk.