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JOURNALS // Upravlenie Bol'shimi Sistemami // Archive

UBS, 2025 Issue 115, Pages 263–278 (Mi ubs1294)

Control in Technology and Process Control

Algorithm for identification of water surface pollution for geoinformation systems

K. A. Vytovtov, T. Ya. Gladkikh

V.A. Trapeznikov Institute of Control Sciences of RAS, Moscow

Abstract: The article considers the urgent problem of detection of oil and oil products on the water surface, which is of crucial importance for ecological monitoring of water resources. The growth of water bodies pollution with oil products necessitates the development of effective methods for their detection and assessment of the ecosystem state. This paper presents a new analytical technique based on the study of the spectra of reflected sunlight, which allows for the high-precision detection of oil pollution. The authors obtained analytical expressions for the indices of spectral brightness coefficients, which were subsequently used in geographic information systems (GIS). These indicators help in processing and interpreting data obtained by remote sensing, significantly simplifying the process of monitoring and analyzing the state of water bodies. The method has proven its effectiveness in various conditions and can be adapted for use in real time. The research results contribute to the improvement of environmental monitoring methods and provide more reliable protection of water resources from pollution. In addition, the study considers the potential integration of this method with other environmental monitoring systems to improve the accuracy and efficiency of pollution detection. Thanks to these improvements, the proposed methodology not only allows for the detection of oil spills, but also helps in their management and the reduction of negative consequences associated with oil spills.

Keywords: petroleum products, environmental monitoring, multispectral images, spectrometry, information processing, geoinformation system.

UDC: 504.064.36
BBK: 26.192

Received: October 31, 2024
Published: May 31, 2025

DOI: 10.25728/ubs.2025.115.12



© Steklov Math. Inst. of RAS, 2026