MATHEMATICAL MODELS FOR MONITORING THE DYNAMICS OF CHANGES AND POLLUTION OF WATER BODIES BASED ON SATELLITE DATA
DOI:
https://doi.org/10.34185/1991-7848.itmm.2026.01.077Keywords:
Water resources, satellite monitoring, spectral indices, pollution assessmentAbstract
The study proposes a methodological approach to complex satellite monitoring of water resources based on the integration of two mathematical models. Particular attention is paid to the application of models within complex post-catastrophic landscapes, in particular the territory of the former Kakhovka reservoir. The heterogeneity of such zones, which combine bare silt surfaces, wetlands and young vegetation, causes high spectral heterogeneity and complicates automated water extraction. The first model is based on the synergy of optical and radar data for accurate mapping of reservoir boundaries in conditions of sharp variation in the characteristics of the underlying surface. To increase accuracy, adaptive spectral indices are combined with machine learning methods. The second model is focused on assessing the degree of surface water pollution. The use of multi-temporal satellite data allows analyzing the spatio-temporal dynamics of objects and establishing relationships between landscape transformation and the level of their ecological load, ensuring the stability of monitoring to the influence of external factors.
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