Applications of Remote Sensing in Water Quality Assessment of Lakes, Rivers and Reservoirs

Dear Colleagues,

In many regions of the world, lakes, rivers, and reservoirs are of key significance in purely environmental terms, but also given their relevance for human life and socio-economics activities. In this regard, human activities have contributed to the ongoing alterations in inland water bodies, e.g., the progressive lake water quality deterioration due to the over-exploitation of water resources and high-pollutant loadings. In many countries and regions, the observed water quality data of lakes, rivers, and reservoirs based on in situ measurements are not widely available due to its costs and the geographical restrictions. Satellite-based observation has been shown to be highly powerful in providing continuous worldwide records of water quality data and has developed rapidly in recent decades with increasingly higher temporal and spatial resolutions.

This Special Issue aims to collect contributions on remote sensing advances in the water quality assessment of lakes, rivers, and reservoirs, with the objective of providing the researcher and practitioner in hydrological and environmental sciences with compiled research on the state of the art in remote sensing application. We welcome any related studies on the proposed topic. For example, studies analyze water quality around the globe, discuss regional differences, and also present novel insights for inland water in given regions and novel methods in water quality retrieval. Water quality variables include, but are not limited to, water temperature, chlorophyll, etc. Analyses of satellite images via deep learning techniques are also welcome.

This Special Issue collects studies on water quality assessment via remote sensing. We seek methodological and application studies. The topics covered by this Special Issue include, but are not limited to, the following:

• Water temperature reconstruction in inland water;
• Chlorophyll reconstruction in inland water;
• Remote sensing monitoring;
• Water quality assessment;
• Artificial intelligence for remote sensing data analysis;
• Unmanned aerial vehicles.

Prof. Dr. Yuankun Wang
Dr. Feng Huang
Dr. Zhenxing Zhang
Guest Editors

Manuscript Submission Information

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• water temperature retrieval
• chlorophyll retrieval
• remote sensing monitoring
• water quality assessment
• artificial intelligence
• unmanned aerial vehicles