Tutorial: Download Sentinel-2 data and calculate the NDVI in Python using Remotior Sensus

This post is about Remotior Sensus, a Python package that allows for the processing of remote sensing images and GIS data.

In this tutorial we'll see how to search and download Sentinel-2 images and calculate the Normalized Difference Vegetation Index (NDVI) using Remotior Sensus.

Following the video of this tutorial.

Tutorial: Create a Sentinel-2 high resolution jpg image Using Remotior Sensus

This is a tutorial about Remotior Sensus, a Python package that allows for the processing of remote sensing images and GIS data.

In particular, this tutorial illustrates how to create a high resolution jpg image from a Sentinel-2 image. Of course, this tutorial could be extended to other satellite images such as Landsat.

Following the video of this tutorial.

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.

Tutorial: Random Forest Classification Using the Semi-Automatic Classification Plugin

This is a tutorial about the land cover classification using the Random Forest algorithm in the Semi-Automatic Classification Plugin (SCP).

Please note that the installation of the dependency scikit-learn is required (see Plugin Installation). It is assumed that you have already read the Basic Tutorials.

Following the video tutorial.

Remotior Sensus Video Tutorial: Quickstart

This video tutorial describes the basics of 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.