GRASS GIS for Earth Observation data processing with Jupyter notebooks

This repo holds the Jupyter notebook that will be used for the GRASS for Earth Observation workshop at FOSS4G 2024 in Belem, Brazil.

We will present and exemplify a subset of GRASS GIS toolsets for satellite imagery data processing and analysis in combination with other core modules and addons in a workflow going from data search and download to supervised classification of different scenes and visualization of results.

❗ The workshop will be run in Google Colab, attendants do not need to install any software in their machines.

To open the notebook in Google Colab, just use the URL of this repository as shown below:

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Software requirements for running the notebook locally (try at home)

GRASS GIS

We will use GRASS GIS 8.4+. It can be installed either through standalone installers/binaries or through OSGeo-Live (a Linux based virtual machine which includes all OSGeo software and packages).

MS Windows

There are two different options:

1. OSGeo4W 64-bit
2. Standalone installer 64-bit

For Windows users, we strongly recommend installing GRASS GIS through the OSGeo4W package (first option), since it allows to install all OSGeo software.

Ubuntu Linux

Install GRASS GIS 8.4 from the "unstable" package repository:

sudo add-apt-repository ppa:ubuntugis/ubuntugis-unstable
sudo apt-get update
sudo apt-get install grass grass-gui grass-dev

Fedora, openSuSe Linux

For other Linux distributions including Fedora and openSuSe, simply install GRASS GIS with the respective package manager. See also here.

Mac OS

Have a look at: http://grassmac.wikidot.com/downloads

Other required Python packages

Please install other required python packages with:

python -m pip install eodag notebook folium ipyleaflet scikit-learn pandas numpy seaborn matplotlib

Data

Please download the following files in advance:

• North Carolina (NC) sample data: https://grass.osgeo.org/sampledata/north_carolina/nc_spm_08_grass7.zip
  • List of available data in the North Carolina sample dataset.
• Sentinel-2 scenes: https://data.neteler.org/foss4g2022/sentinel.zip
• NC NLCD 2019 map in GRASS GIS format: https://data.neteler.org/foss4g2022/nc_nlcd2019.pack

Registration at Copernicus Data Space Ecosystem

We'll use Sentinel-2 data and hence users must be registered at the Copernicus Data Space Ecosystem.

Fill in the form here and create a text file with two lines including username and password, such as:

username
password

Lecturer

• Veronica Andreo holds a PhD in Biology and an MSc in Remote Sensing and GIS Applications. She is a researcher for CONICET working at the Argentinian Space Agency. Her main interests are remote sensing and GIS tools for disease ecology research and applications. She is part of the GRASS Dev Team, currently serving as PSC chair.