Predicting optical water quality indicators from remote sensing using machine learning algorithms in tropical highlands of Ethiopia
Water quality degradation of freshwater bodies is a concern worldwide, particularly in Africa, where data are scarce and standard water quality monitoring is expensive. This study explored the use of remote sensing imagery and machine learning (ML) algorithms as an alternative to standard field meas...
| Main Authors: | , , , , , |
|---|---|
| Format: | Journal Article |
| Language: | Inglés |
| Published: |
MDPI
2023
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/130750 |
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