Satellite image processing based on percolation for physicochemical analysis of soil cover of industrial waste facilities

M. Kazaryan; V. Voronin

doi:10.1117/12.2587769

12 April 2021 Satellite image processing based on percolation for physicochemical analysis of soil cover of industrial waste facilities

M. Kazaryan, V. Voronin

Author Affiliations +

Proceedings Volume 11755, Sensors and Systems for Space Applications XIV; 117550W (2021) https://doi.org/10.1117/12.2587769
Event: SPIE Defense + Commercial Sensing, 2021, Online Only

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Abstract

Remote sensing of the Earth allows receiving medium, high spatial resolution, and hyperspectral measurements from spacecraft. This study presents a remote sensing application of using time-series satellite images for monitoring solid waste disposal facilities (WDF). We proposed a method for satellite image processing using the percolation for physicochemical analysis of soil cover of industrial waste facilities. This work aims to study different methods for assessing percolation parameters from space images. The article discusses ways of fractal-percolation, chemical, and regression analysis. The proposed algorithm results are shown on the example of the solid household and the industrial waste landfill. The received results can serve as the basis for developing a methodology for assessing the effectiveness of measures to neutralize the underlying surface of the WDF against the filtrate and seep it into the soil using remote sensing technologies of Earth.

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M. Kazaryan and V. Voronin "Satellite image processing based on percolation for physicochemical analysis of soil cover of industrial waste facilities", Proc. SPIE 11755, Sensors and Systems for Space Applications XIV, 117550W (12 April 2021); https://doi.org/10.1117/12.2587769

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