WQeMS

Copernicus Assisted Lake Water Quality Emergency Monitoring Service

Monitoring the extent of the effluents in the lake provides a warning about the risk of water contamination and contributes to impact mitigation strategies, both for the drinking water production and the environmental sustainability.

WQeMS focuses its activities on the monitoring of lakes with the aim to provide an operational Water Quality Emergency Monitoring Service, which enhances our ability to deliver drinking water in all EU member states. The project exploits Sentinel satellite data for quality monitoring at a finer spatial resolution level, following validated processes with in situ data. WQeMS provides extensive information about water quality by building a multi-temporal and high spatial resolution monitoring framework. The goal is the optimization of the use of resources by gaining access to frequent acquired, wide covering and local accurate water-status information, by which citizens will gain a deeper insight and confidence for selected key quality elements of the ‘water we drink’.

The project will address slow evolving phenomena such as geogenic or anthropogenic release of potentially polluting elements that can contaminate freshwater reservoirs, but also the detection of seasonal and annual changes in submerged aquatic vegetation in shallow waters, which is of high value as a quality indicator. The role of MKLab/M4D is to monitor fast evolving phenomena (extreme events), such as algal blooms or flash floods that can spill debris and pollutants into lakes, using Copernicus data and fusing with crowdsourced data when possible.

PUBLICATIONS

  1. A. Bozas, S. Andreadis, D. Chatzakou, S. Symeonidis, O. Theodosiadou, P. Kyriakidis, A. Kokkalas, E. A. Stathopoulos, S. Diplaris, T. Tsikrika, I. Gialampoukidis, S. Vrochidis, and I. Kompatsiaris, "What Can We Extract with Social Media Sensing? - Insights from Research to Applications". SN COMPUT. SCI. 5, 484 (2024). https://doi.org/10.1007/s42979-024-02712-9 OPEN ACCESS
  2. K. Vlachos, C. Psychalas, A. Moumtzidou, I. Gialampoukidis, S. Vrochidis & I. Kompatsiaris. (2023). "TOWARDS A PARADIGM SHIFT ON MAPPING MUDDY WATERS IN WATER RESERVOIRS WITH SENTINEL-2 USING MACHINE LEARNING.", Ιn Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023), Ayia Napa, Cyprus, 3-5 April, 2023 (Poster). OPEN ACCESS
  3. G. M. Scarpino, M. Matera, P. Bauer, I. Manakos, A. Kita, K. Vlachos, A. Bozas, I. Serral, A. Moumtzidou, I. Gialampoukidis & S. Vrochidis, ”WQeMS Platform for Insland and Surface Water Bodies' Monitoring: Serving User Communities and Supporting Experts' Analyses”, In Proceedings of the Ninth International Conference on Remote Sensing and Geoinformation of Environmentʼ 3-5 April, 2023 – Cyprus.
  4. M. G. Scarpino, M. Matera, P. Bauer, I. Manakos, A. Kita, K. Vlachos, A. Bozas, I. Serral, A. Moumtzidou, I. Gialampoukidis, S. Vrochidis,"WQEMS platform for inland surface water bodies' monitoring: serving user communities and supporting expert analyses", In SPIE 12786: Proceedings Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023), Ayia Napa, Cyprus, 3-5 April, 2023  vol. 1278615.
  5. C. Psychalas, K. Vlachos, A. Moumtzidou, I. Gialampoukidis, S. Vrochidis, and I. Kompatsiaris, "Towards a Paradigm Shift on Mapping Muddy Waters with Sentinel-2 Using Machine Learning.", Sustainability, vol. 15, no. 18, p. 13441, Sep. 2023, https://doi: 10.3390/su151813441 OPEN ACCESS
  6. K. Vlachos, A. Moumtzidou, I. Gialampoukidis, S. Vrochidis, I. Kompatsiaris, "A tempοral Deep Convolutional Neural Network model on Sentinel-1 Image Time Series for pixel-wise Flood Classification". In Proceedings of the 2022 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2022), Kuala Lumpur, Malaysia, 17-22 July 2022, Physical, IEEE. OPEN ACCESS
  7. S. Andreadis, N. Pantelidis, I. Gialampoukidis, S. Vrochidis, and I. Kompatsiaris, "Water quality issues: Can we detect a creeping crisis with social media data?", In the proceedings of the 27th IEEE Symposium on Computers and Communications (IEEE ISCC 2022), 30 June - 3 July 2022, Rhodes, Greece.
  8. D. F. Mantsis, M. Bakratsas, K. Vlachos, A. Moumtzidou, I. Gialampoukidis, S. Vrochidis, I. Kompatsiaris "Detection of oil spills in an inland lake using Multi-Spectral Satellite Images". In Proceedings of the 2022 Living Planet Symposium, 23-27 May 2022, Bonn, Germany. OPEN ACCESS
  9. G. Antzoulatos, I. Kouloglou, M. Bakratsas, A. Moumtzidou, I. Gialampoukidis, A. Karakostas, F. Lombardo, R. Fiorin, D. Norbiato, M. Ferri, A. Symeonidis, S. Vrochidis, I. Kompatsiaris, "Flood Hazard and Risk Mapping by Applying an Explainable Machine Learning Framework Using Satellite Imagery and GIS Data". Special Issue: Environmental Water Monitoring for Sustainable Development in Urban and Rural Areas of Sustainability, Volume 14, Issue 6, 2022. DOI:10.3390/su14063251. OPEN ACCESS
  10. S. Andreadis, I. Gialampoukidis, A. Bozas, A. Moumtzidou, R. Fiorin, F. Lombardo, A. Karakostas, D. Norbiato, S. Vrochidis, M. Ferri, and I. Kompatsiaris, "WaterMM: Water Quality in Social Multimedia Task at MediaEval 2021". In Proceedings of the MediaEval 2021 Workshop (MediaEval'21), 12-15 December 2021.