I am interested in learning what software exists for land classification using machine learning algorithms (e.g. k-NN, Random Forest, decision trees, etc.) I am aware of the randomForest package in R and MILK and SPy in Python.
My specific questions:
- Generally speaking, what open-source or commercial products exist for land classification using decision-tree based machine learning algorithms?
- More specifically, are there any trusted GUI-based nonparametric decision tree algorithms for land classification (i.e. especially Random Forest, although others welcome)?