Remote sensing of the Earth allows receiving medium, high spatial resolution, and hyperspectral measurements from spacecraft. This study presents a remote sensing application using time-series satellite images to monitor solid waste disposal facilities (WDF) of northern and high mountainous areas with landfills. This study develops a mathematical model describing the physicochemical process of changing the natural state of the snowy regions of the Earth. This technique is directly related to the landfill's physicochemical and biological processes, which can be assessed using space monitoring data. This is relevant for the implementation of geological monitoring of territories covered by snow cover, particularly for the regions of the North Caucasus. It also studies the consequences of climate change on forming the biomedical component of the process under study. The paper proposes a methodology and a mathematical model of the impact of solid domestic and industrial waste on the snow cover using remote sensing technologies. The work uses the methods of fractal-percolation, chemical, biological, and regression analysis. The algorithm results are shown on the example of satellite images of the mountainous territories of the North Caucasus.
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