Szczegóły publikacji
Opis bibliograficzny
Unravelling the Odra river catastrophe: satellite imaging and the future of inland water quality monitoring / Jakub STASZEL, Jakub Hempel, Katarzyna ADAMEK, Ewa SZALIŃSKA, Michał LUPA // W: KGK 2024 : selected proceedings of the 7th Space resources conference : [Kraków, Poland, May 23th–May 24th, 2024] / eds. Michał Lupa, Tadeusz Uhl, Jakub Staszel, Karolina Pargieła, Anna Malczewska. — Cham : Springer Nature Switzerland, cop. 2025. — (Springer Aerospace Technology ; ISSN 1869-1730). — Softcover ISBN 978-3-031-91229-0. — ISBN: 978-3-031-91226-9; e-ISBN: 978-3-031-91227-6. — S. 147–158. — Bibliogr., Abstr. — Publikacja dostępna online od: 2025-08-26
Autorzy (5)
Dane bibliometryczne
| ID BaDAP | 161810 |
|---|---|
| Data dodania do BaDAP | 2025-09-03 |
| DOI | 10.1007/978-3-031-91227-6_16 |
| Rok publikacji | 2025 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Czasopismo/seria | Springer Aerospace Technology |
Abstract
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.
