Fig. 6
(a) Learning curve of the hybrid coastal transect classifier. The vertical axis shows the accuracy (F1-score), and the horizontal axis represents the number of training transects. (b) Importance of features (mean decrease in impurity method) used in classifier, and the bars represent the average of the importance of each feature from multispectral satellite imagery (blue) and coastal geospatial datasets (orange). The black line indicates the standard deviation of the importance of each feature. Note: Max_elevation (maximum elevation in transect), Elevation var (variance height in transect), Min temp (minimum temperature).
