Assessment of Machine Learning Models for Remote Sensing of Water Quality in Lakes Cajititlán and Zapotlán, Jalisco—Mexico

Assessment of Machine Learning Models for Remote Sensing of Water Quality in Lakes Cajititlán and Zapotlán, Jalisco—Mexico

Remote sensing has emerged as a promising tool for monitoring water quality (WQ) in aquatic ecosystems. This study evaluates the effectiveness of remote sensing in assessing WQ parameters in Cajititlán and Zapotlán lakes in the state of Jalisco, Mexico. Over time, these lakes have witnessed a signif...

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Bibliographic Details
Main Authors: Freddy Hernán Villota-González, Belkis Sulbarán-Rangel, Florentina Zurita-Martínez, Kelly Joel Gurubel-Tun, Virgilio Zúñiga-Grajeda
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Remote Sensing
Subjects:
machine learning algorithms
in situ water quality data
lakes
Landsat-8
Sentinel-2
Online Access:https://www.mdpi.com/2072-4292/15/23/5505

Internet

https://www.mdpi.com/2072-4292/15/23/5505

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