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The 2022 ecological disaster in the Oder River highlighted the urgent need for effective and scalable methods to monitor and protect freshwater ecosystems. This study evaluates the feasibility of using Sentinel-2 satellite imagery for multi-temporal water quality assessments, focusing on detecting key parameters such as dissolved matter, turbidity, chlorophyll concentration and algal blooms. The analysis, based on satellite data from 2018 to 2024, emphasizes the importance of long-term monitoring to capture the variability of water quality indicators and uncover trends that short-term datasets might overlook. The findings demonstrate that satellite-based remote sensing is a powerful tool for tracking spatial and temporal changes in water quality, enabling proactive detection of anomalies. While the results illustrate significant variations in water quality indices over time and space for the analyzed river sections—Ostrava, Wrocław Frankfurt and Szczecin, they also underscore the risks of relying solely on short-term data, which can lead to misleading interpretations. The study highlights the potential of multi-temporal satellite imagery to serve as a foundation for integrated water quality monitoring frameworks, contributing to early detection of ecological threats and improved water resource management.

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Unravelling the Odra River Catastrophe: Satellite Imaging and the Future of Inland Water Quality Monitoring

  • 会议论文

  • 发表日期：

    2025年

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  • Jakub Staszel,
  • Jakub Hempel,
  • Katarzyna Adamek,
  • Ewa Szalińska,
  • Michał Lupa

摘要

The 2022 ecological disaster in the Oder River highlighted the urgent need for effective and scalable methods to monitor and protect freshwater ecosystems. This study evaluates the feasibility of using Sentinel-2 satellite imagery for multi-temporal water quality assessments, focusing on detecting key parameters such as dissolved matter, turbidity, chlorophyll concentration and algal blooms. The analysis, based on satellite data from 2018 to 2024, emphasizes the importance of long-term monitoring to capture the variability of water quality indicators and uncover trends that short-term datasets might overlook. The findings demonstrate that satellite-based remote sensing is a powerful tool for tracking spatial and temporal changes in water quality, enabling proactive detection of anomalies. While the results illustrate significant variations in water quality indices over time and space for the analyzed river sections—Ostrava, Wrocław Frankfurt and Szczecin, they also underscore the risks of relying solely on short-term data, which can lead to misleading interpretations. The study highlights the potential of multi-temporal satellite imagery to serve as a foundation for integrated water quality monitoring frameworks, contributing to early detection of ecological threats and improved water resource management.