Estimation of Water Quality Parameters through a Combination of Deep Learning and Remote Sensing Techniques in a Lake in Southern Chile

Estimation of Water Quality Parameters through a Combination of Deep Learning and Remote Sensing Techniques in a Lake in Southern Chile

In this study, we combined machine learning and remote sensing techniques to estimate the value of chlorophyll-a concentration in a freshwater ecosystem in the South American continent (lake in Southern Chile). In a previous study, nine artificial intelligence (AI) algorithms were tested to predict...

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Bibliographic Details
Main Authors: Lien Rodríguez-López, David Bustos Usta, Iongel Duran-Llacer, Lisandra Bravo Alvarez, Santiago Yépez, Luc Bourrel, Frederic Frappart, Roberto Urrutia
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Remote Sensing
Subjects:
water quality
chlorophyll
remote sensing
deep learning
Chile
lakes
Online Access:https://www.mdpi.com/2072-4292/15/17/4157

Internet

https://www.mdpi.com/2072-4292/15/17/4157

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