Identification of Mining Waste Disposal Facilities Using Remote Sensing Data
Yu. P. Galchenko1, Yu. A. Ozaryan2, T. V. Kozhevnikova3, V. E. Okladnikov3
1Academician Melnikov Institute of Problems of Comprehensive Development of Mineral Resources-IPKON, Russian Academy of Sciences, Moscow, Russia
2Institute of Mining-Detached Division, Khabarovsk Science Center, Far Eastern Branch, Russian Academy of Sciences, Khabarovsk, Russia
3Computational Center-Detached Division, Khabarovsk Science Center, Far Eastern Branch, Russian Academy of Sciences, Khabarovsk, Russia
Keywords: Algorithm, waste, satellite image, remote sensing, reclamation, disturbed land, geoinformation system, vegetation index
Abstract
The article presents an analysis procedure for remote sensing imagery for monitoring ground surface objects. The studies on development of an algorithm for identifying mining waste disposal facilities on ground surface are described. The source data were Sentinel-2 and Landsat 5-8 images of the southern area in the Russian Far East. Using Earth Engine platform, the vegetation index is calculated for each pixel using the function of normal distance, and the test area is generated using a standard tool. Pixels were converted to square units using the reduce() method. The proposed procedure is of current interest in monitoring various objects (tailings ponds, surface mines, waste dumps, etc.) at different stages of development.
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