Fig. 3

Two panels comparing three zero/one inflated beta regression models with CBI as the response variable and dNBR, RdNBR, and RBR (calculated using the Parks et al. composite method on the left and with the single image paid method on the right) as the respective predictive variables. In the first column, the black line shows predicted response values. (A, B, C, G, H, I). The blue polygon around the line shows 95% confidence around mean predicted values. The gray dots are the raw data points from the 299 sampled plots. The second column contains AUC values for each of the eight regression models across five thresholds of burn severity (D, E, F, J, K, L). Thresholds were created as dichotomization thresholds to produce ROC curves. Overall AUC values represent overall average across five thresholds