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...

詳細記述

書誌詳細

出版年:	Hydrology
主要な著者:	Elias S. Leggesse, Fasikaw A. Zimale, Dagnenet Sultan, Temesgen Enku, Raghavan Srinivasan, Seifu A. Tilahun
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2023-05-01
主題:	water quality Landsat machine learning Lake Tana
オンライン･アクセス:	https://www.mdpi.com/2306-5338/10/5/110