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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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| 出版年: | PLoS One |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6185857/ https://ncbi.nlm.nih.gov/pubmed/30312339 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0205682 |
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