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Table 3 Logistic regression results for shrubland. LFMCt −2 and slope were the most relevant variables. The Eurosiberian shrubland model showed the best performance with an Area Under the ROC curve of 0.81. The variables’ coefficients considered in all of the models were found to be significant (P < 0.001).

From: Modelling Fire Ignition Probability from Satellite Estimates of Live Fuel Moisture Content

 

Variables in the equation

AUC

Shrubland

(−0.379*Slope) + (−0.017*LFMCt −2) − 1.479

0.67

Mediterranean shrubland

(−0.023*LFMCt −1) + (0.003*Anomaly) − 1.394

0.68

Eurosiberian shrubland

(−0.882*Slope) + (0.023*Anomaly) + (−0.039*LFMCt −2) − 0.875

0.81