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Abstract

Summary

Water-related ecosystems are valuable in providing a wide range of vital ecosystem services. However, in recent years, they have been increasingly threatened worldwide because of climate change and unsustainable human activities. This study proposes an approach to the classification of water-related ecosystems. It is built upon a surface water occurrence map (SWOM) derived from Sentinel-2 imagery to identify permanent, seasonal and no water depending on the frequency of water presence over time. Refined by vegetation content, SWOM will result in a map of general water-related ecosystems. This approach was tested on the Ramsar site Dnipro River Delta (Site #767), which was affected by Russia’s full-scale military invasion. As a result, we obtained the map of water-related ecosystems with 5 classes: 1) permanent fresh water; 2) seasonal fresh water; 3) seasonal shallow waters with sparse emergent vegetation; 4) seasonal vegetated wetland; and 5) vegetated wetland. Accuracy assessment was performed with 97.1% overall accuracy and 96.7% Kappa coefficient. The obtained results serve as a valuable foundation for ongoing environmental monitoring and wetland ecosystem service assessments, ultimately supporting better conservation and management efforts. Further research should focus on applying the developed approach to other Ramsar Sites and providing detailed land cover classification.

EAGE Publications BV © 2025 The Authors © European Association of Geoscientists and Engineers
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2025-04-14
2026-02-14

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EO-Based Classification of Water-Related Ecosystems using Surface Water Occurrence Analysis: A Case Study of the Dnipro River Delta
Conference Proceedings 2025, 1 (2025); https://doi.org/10.3997/2214-4609.2025510129
/content/papers/10.3997/2214-4609.2025510129
/content/papers/10.3997/2214-4609.2025510129
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