Predictive performance of regression models to estimate chlorophyll-a concentration based on landsat imagery

HIGHLIGHTS

• who: Miguel #_#x00C1 and colleagues from the Centro de Investigaciones Biológicas del Noroeste, La Paz, Baja California Sur, México Editor: have published the research: Predictive performance of regression models to estimate Chlorophyll-a concentration based on Landsat imagery, in the Journal: PLOS ONE | https://doi.org/10.1371/journal.pone [0205682]. October 12, 2018 of /1371/
• what: This study evaluated the predictive performance of regression models (Simple Linear Regression Multiple Linear Regression and Generalized Additive Models ) to estimate Chl-a based on imagery using in situ Chl-a collected (synchronized with the . . .
  

   

  

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