floew2

'''
A workflow for classifying Landsat remote sensing imagery 
involves utilizing soft voting with SVM and Gradient Boosting classifiers. 
The Isolation Forest algorithm is applied to identify outliers in the 
training data. Feature selection is performed through a Recursive Feature 
Elimination approach. The outcome consists of classification and classification 
probability raster images saved in TIF format.

Author: Fabian Löw
Date: June 2023