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.

Random Forest Classification in Python using Remotior Sensus

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

Loading

Sorry, something went wrong. Reload?

Sorry, we cannot display this file.

Sorry, this file is invalid so it cannot be displayed.

view raw random_forest_classification.ipynb hosted with ❤ by GitHub

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