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...

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Bibliográfalaš dieđut

Váldodahkkit:	Elias S. Leggesse, Fasikaw A. Zimale, Dagnenet Sultan, Temesgen Enku, Raghavan Srinivasan, Seifu A. Tilahun
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	MDPI AG 2023-05-01
Ráidu:	Hydrology
Fáttát:	water quality Landsat machine learning Lake Tana
Liŋkkat:	https://www.mdpi.com/2306-5338/10/5/110
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