Using Landsat-8 data for classification and delineation of overburden dumps
A.A. Perevoshchikova, N.A. Kobelev, T.S. Bachurin
Section: Methodology and research methods. Models and forecasts
Earth remote sensing materials (Landsat-8 satellite) were used to conduct a land use classification within both a closed coal deposit and an operating potassium-magnesium salts deposit, focusing on the identification of waste rock dumps. Classifying land use through remote sensing imagery presents a formidable challenge; however, the accurate classification of pixels based on their respective land use characteristics poses a notable difficulty that can be mitigated by employing interactive supervised classification. This research focused on two large reserves located in Perm Krai: the Kizel Coal Basin (encompassing the areas of Ugleuralskiy and Shakhtnyy villages, Kizel with its Rudnichnyy microdistrict, and Shakhta village) and the Verkhnekamskoe Potash Deposit (near Solikamsk and Berezniki). The study areas were divided into seven distinct land use categories: waste dumps, water bodies, agricultural lands, bare lands, coniferous forests, mixed forests, and urban areas. The findings showed that the extent of mine dumps, as identified through the interactive supervised classification, covered 162.8 hectares, with a reference area of 153.3 hectares. The salt dump area, as determined by the interactive supervised classification, covered a total of 927.9 hectares, with a reference area of 891.4 hectares. This study emphasizes the significance of employing remote sensing data for addressing challenges related to pixel-oriented land use classification. This represents one of the phases in environmental diagnostics that facilitates the acquisition of objective data regarding the environmental conditions in areas undergoing the extraction of mineral resources for forecasting. The application of interactive supervised classification offers significant insights regarding the extent of waste areas and the category distribution within the studied mining areas of Perm Krai. It promotes the advancement of precise land use analysis techniques that may be applied across diverse fields, including urban development, ecological surveillance, and resource management.
Keywords: coal deposit, salt deposit, remote sensing, interactive supervised classification, land use
Article published in number 3 for 2026 DOI: 10.25750/1995-4301-2026-3-031-038
ISSN 1995-4301
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