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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2018
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| Materias: | |
| 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 |