Optical Satellites-Based Water Quality Estimation
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Optics and Lasers".
Deadline for manuscript submissions: closed (30 August 2022) | Viewed by 2939
Special Issue Editor
2. University of the Chinese Academy of Sciences, Beijing 100049, China
Interests: inland water; transparency; chlorophyll-a; water quality; estimation; optical satellites; machine learning algorithms; deep learning algorithms
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Lakes are of vital importance due to providing multiple socioeconomic and ecosystem services, including drinking water, irrigation and generating tourism to the fast-growing human world population. The strong relationships between optically active constituents and remote sensing signals provide a possibility to capture optical parameter information through a remote sensing approach. In this Special Issue of Applied Sciences regarding inland water quality estimation based on optical satellites, we welcome articles centered around the model development and/or application of remote sensing approaches to understand water quality patterns, trends and reasons behind drivers.
Dr. Yibo Zhang
Guest Editor
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Keywords
- lake
- water color
- water quality
- estimation
- remote sensing
- climate change
- anthropogenic activities
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