Methodological fundamentals of remote sensing integration and expert data for displaying the state of mining territories

The work outlined the methodological basis for the integration of Sentinel-2 images and ground-based expert data to display the state of mining areas in four load levels: light, medium, moderate and heavy. To assess the state of the mining areas, an algorithm was developed based on the landscape-system approach and automated interpretation of satellite images using the statistical criterion method. The proposed algorithm was tested on the territory of the Nikopol mining region using a multispectral atmospheric and radiometrically corrected Sentinel-2A image and ground-based statistical data. As a result, a map of the technogenic load of the study area was obtained. Evaluation of the accuracy of the results shows that the integration of remote sensing and ground-based expert data using the proposed algorithm is very promising for assessing the state of mining areas. The proposed algorithm for using data will provide objective, reliable and operative information for all interested parties, including those responsible for the ecological state and mining areas.