Tutorial: Using the Semi-Automatic Classification Plugin Interface in the Cloud Through Jupyter and Remotior Sensus

This tutorial illustrates a proof of concept about using Remotior Sensus in Jupyter through an interface similar to the Semi-Automatic Classification Plugin.

Jupyter notebooks are interactive documents that can be edited in a web browser, which allow for coding in Python and interact with widgets. Several cloud services offer Jupyter notebooks to code, and for example Google Colab is a free service by Google that allows for executing a Jupyter notebook in the cloud.

In a recent Remotior Sensus update (v. 0.3), a new module allows for displaying an interface similar to the Semi-Automatic Classification Plugin in Jupyter notebooks, allowing for the interactive search and download of remote sensing images, the interactive creation of Band Sets, training input, and ROIs, and the classification of the bands (the interface is still in development and only a few tools are available).

For example the following command displays the interface for downloading products.

rs.jupyter().download_interface()

In this tutorial we are going to use the Jupyter interface of Remotior Sensus in Google Colab.

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/226112f8b37206ed31982937aa295ca6/remotior_sensus_jupyter.ipynb

For any comment or question, join the Facebook group or GitHub discussions about the Semi-Automatic Classification Plugin.