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bins <- seq(from=0, to=100, by=2) # define bin wiedth (here, 2 cm classes) (rl <- sqrt(750/pi)) # radius of a plot of size 750 square meters

... of ROIs can be useful in order to account for the spectral variability of classes. Here we will use the automatic region growing algorithm. * Repeat this step for all C_ID classes.

* Set the {{button|text=Number of classes}} to {{typed|text=20}} * Check the {{button|text=Training set size}} to {{typed|text=10000}}

...with the minimum number of pixels determines the sample size of all other classes. Changing this value to {{typed|text=0}} does not have an effect (current b * Set the number of classes in your model: this is the number of unique classes in your training vector file.