Remote Sensing Techniques for Water Quality Monitoring
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Remote Sensors".
Deadline for manuscript submissions: 15 October 2025 | Viewed by 69
Special Issue Editor
Interests: remote sensing of inland lakes; water quality; water environment; aquatic ecology; machine learning; GIS
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Inland and coastal water bodies are crucial for providing various services for human societies. In the context of changing climate and intensified human interventions, the quality and quantity of water bodies are evidently changing. Satellite remote sensing is an efficient and crucial tool for the monitoring and sustainable management of those water resources. However, it is still very challenging for algorithm development and various applications due to the sensor’s electromagnetic interaction with the atmosphere and complex substances in waters. In recent years, research on the remote sensing of inland water color has greatly increased. However, water mass has been lost sight of to some extent. Meanwhile, the rapid development of mathematic techniques (e.g., machine learning) and cloud computation platforms (e.g., Google Earth Engine) provides new opportunities to improve the capacity of satellite remote sensing for water monitoring. There is a clear need to share approaches and ideas that can strengthen approaches for investigating water quality or water storage.
To meet this urgent need, this Special Issue has been launched by the international journal Sensors to address technical challenges in satellite monitoring or the estimation of water bodies.
We request your contributions in this field for inclusion in our Special Issue. Research and review articles with respect to the following topics are welcome:
- Satellite monitoring of inland water resources;
- Waterbody delineation from remote sensing imagery;
- Impact of land use/change on water/water quality;
- Remote sensing retrieval of water color/quality parameters;
- Machine learning applications in the remote sensing of the water environment;
- Satellite mapping of aquatic macrophytes in inland water bodies.
Prof. Dr. Ronghua Ma
Guest Editor
Manuscript Submission Information
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Keywords
- lake
- pond
- reservoir
- water quality
- remote sensing
- algorithm development
- environmental monitoring
- land use
- land change
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