Technologies for analyzing atmospheric pollution processes based ground measurements and high-resolution multispectral images were developed. Physico-chemical characteristics of snow samples and calculated snow index (NDSI) are the original data of the analysis. Functional relationships based on light and monodisperse impurities models of the spread in the atmosphere between ground observation data and NDSI were found. A GIS system that implements these methods was developed in Python. GIS was tested at objects of the industrial zone of Iskitim district.

The paper discusses the results of comparing cloud cover properties determined by using polar orbiting satellite data (AVHRR/NOAA and MSU-MR/Meteor-M No. 2) for the European territory of Russia and Western Siberia. The cloud characteristics were computed by two threshold techniques: Complex Threshold Technique (CTT) (developed at the European Centre of the State Research Center ‗Planeta‘) and Cloud Cover Detection Technique (CCDT) (developed at the Siberian Centre of ‗Planeta‘). Pixel-by-pixel comparison was performed for very close in time satellite observations, and it showed that in spite of technical similarity of the two radiometers and little difference between both techniques used for the classifications, the results were not the same. The quality of the MSU-MR classification is significantly worse than that of the two AVHRR classifications. In fact, the MSU-MR derivation of cloud parameters fails in optically thin cirrus and altocumulus clouds, thus underestimating the cloud top height for multilayered clouds. As a result, the cloud top is found to be lower, warmer and less iced in comparison with both AVHRR estimates, regardless of the region and other conditions; on the contrary, the cloud top of low and middle clouds appears to be colder, higher and more iced according to MSU-MR data. The MSU-MR cloud mask is strongly underestimated at night during the cold period of the year. The CTT and CCDT‘s cloud top height, temperature and water phase retrieved by AVHRR data are quite close for both regions.

The results of the analysis of atmospheric pollution processes in the vicinity of the Chernorechensky cement plant and the Iskitim city were presented. Snow cover samples and high-resolution satellite images were used as research materials. The reconstruction of the fields of impurity concentration was carried out on the basis of low-parameter models. Statistical relationships were identified between ground-based and satellite observations.

The issues of assessing the pollution fields in the vicinity of industrial enterprises are discussed according to the monitoring studies of the snow cover. The formulations of problems of low-parameter reconstruction of concentration fields are considered on the basis of model descriptions of the processes of transport of impurities in the surface layer of the atmosphere. With regard to the Irkutsk aluminum plant, the results of studies of the pollution of its surroundings with aluminum are presented. Using the data of route observations, a numerical reconstruction of the fluoride content in the snow cover was carried out. The quality control of the results obtained is carried out by comparing the measured and calculated concentrations of impurities at the control points of observation.

The numerical analysis of mercury pollution in the vicinity of the “Usoliekhimprom" industrial site and a territory of Usolye-Sibirskoye was held. The main centers of atmospheric influx of mercury vapor, which are located in the area of the sludge storage and the former mercury electrolysis workshop, were determined by the results of the soil survey. Asymptotic descriptions of the processes of transfer of light impurities from ground-based sources, taking into account the relative position of foci and observation points, were proposed. A reconstruction model of concentration fields over a long period of time for the dominant sources of plant was developed. The model was tested on biomonitoring data for 2019. Quite satisfactory agreement between the data of experimental studies of the content of mercury in poplar leaves with the results of numerical modeling was obtained. The ratios of contributions to pollution from different objects of the enterprise were calculated. Recommendations on the use of the reconstruction model to control rehabilitation measures at the Usoliekhimprom industrial site, which are currently being carried out, have been proposed.