Integrating satellite remote sensing into the standard operating procedure of a water utility

John Lioumbas; Aikaterini Christodoulou; Matina Katsiapi; Nikoletta Xanthopoulou

doi:10.1117/12.2683069

21 September 2023 Integrating satellite remote sensing into the standard operating procedure of a water utility

John Lioumbas, Aikaterini Christodoulou, Matina Katsiapi, Nikoletta Xanthopoulou

Proceedings Volume 12786, Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023); 1278616 (2023) https://doi.org/10.1117/12.2683069
Event: Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023), 2023, Ayia Napa, Cyprus

Abstract

This study explores the feasibility and benefits of incorporating Satellite Remote Sensing Techniques (SRST) into drinking water supply companies' processes for monitoring large reservoirs' surface water quality. Focusing on Thessaloniki Water Supply & Sewerage Co S.A. (EYATH SA), the study examines an unexpected event in the Polyphytos reservoir detected by satellite-based instruments. Images from Sentinel-2 and Landsat 8-9 were analyzed using algorithms such as Se2WaQ and Oil-index to estimate water quality parameters. The potential of the under-development Water Quality Emergency Monitoring Service (WQeMS) for real-time monitoring and early warning was also assessed. A strategic plan for integrating satellite tools in surface water quality monitoring processes is presented, demonstrating several advantages, such as detecting unexpected events, continuous monitoring, and cost-effectiveness. This study emphasizes the potential benefits of integrating SRST into water utilities' processes for large reservoirs' surface water quality monitoring and suggests a useful workflow for similar applications.

Citation Download Citation

John Lioumbas, Aikaterini Christodoulou, Matina Katsiapi, and Nikoletta Xanthopoulou "Integrating satellite remote sensing into the standard operating procedure of a water utility", Proc. SPIE 12786, Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023), 1278616 (21 September 2023); https://doi.org/10.1117/12.2683069

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