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Predictive performance of regression models to estimate Chlorophyll-a concentration based on Landsat imagery

Chlorophyll-a (Chl-a) concentration is a key parameter to describe water quality in marine and freshwater environments. Nowadays, several products with Chl-a have derived from satellite imagery, but they are not available or reliable sometimes for coastal and/or small water bodies. Thus, in the last...

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Detalles Bibliográficos
Autores principales:	Matus-Hernández, Miguel Ángel, Hernández-Saavedra, Norma Yolanda, Martínez-Rincón, Raúl Octavio
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2018
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6185857/ https://www.ncbi.nlm.nih.gov/pubmed/30312339 http://dx.doi.org/10.1371/journal.pone.0205682

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