Random Forest Classification of Sentinel-2 image in Python using Remotior Sensus

This video tutorial illustrates how to perform Random Forest classification of a Copernicus Sentinel-2 image using Remotior Sensus, a Python package that allows for the processing of remote sensing images and GIS data.

The tutorial is available as Jupyter notebook in Google Colab, a free service by Google that allows for executing a Jupyter notebook in the cloud.

Following the video of this tutorial.

The Google Colab notebook illustrated in the tutorial is available at the following link https://colab.research.google.com/gist/semiautomaticgit/0fdb7c2c5c0b3b990cf342d226b8ee43/quickstart.ipynb

For any comment or question, join the Facebook group  about the Remotior Sensus.