Chlorophyll-a Detection Algorithms at Different Depths Using In Situ, Meteorological, and Remote Sensing Data in a Chilean Lake

Chlorophyll-a Detection Algorithms at Different Depths Using In Situ, Meteorological, and Remote Sensing Data in a Chilean Lake

In this study, we employ in situ, meteorological, and remote sensing data to estimate chlorophyll-a concentration at different depths in a South American freshwater ecosystem, focusing specifically on a lake in southern Chile known as Lake Maihue. For our analysis, we explored four different scenari...

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Bibliographic Details
Main Authors: Lien Rodríguez-López, Denisse Alvarez, David Bustos Usta, Iongel Duran-Llacer, Lisandra Bravo Alvarez, Nathalie Fagel, Luc Bourrel, Frederic Frappart, Roberto Urrutia
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Remote Sensing
Subjects:
remote sensing
machine learning
lake
chlorophyll-a at depth
Online Access:https://www.mdpi.com/2072-4292/16/4/647

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