Awesome

A Training of Trainers Bootcamp on Machine Learning for Earth Observations

This repository contains materials from the virtual ML4EO Bootcamp run from May 3 through May 14.

Organizers

This bootcamp is organized by Radiant Earth Foundation and Makerere University wirth support from GIZ FAIR Forward, Artificial Intelligence for All, program.

Python Dependencies

In order to run the exercise notebooks, you will need to have Python 3.8 installed. You will also need to install some Python dependencies.

If you are running the notebooks using Binder, all dependencies should be included in the host environment.

If you are running the notebooks on your local computer, go to the project root and run:

pip install -r requirements_dev.txt

If you are running the notebooks in Google Colab, you will need to create a new cell in the notebook with the following content:

from pathlib import Path
requirements = Path.cwd().parent.parent / 'binder' / 'requirements.txt'

!pip install -r $requirements

There is also an environment.yml file that can be used to create a conda environment.

conda env create -n my-environment -f environment-dev.yml

Windows Users

Some users were experiencing issues when trying to use rasterio.warp functions in a Windows environment. This is likely due to this issue, which was fixed in version 1.2. If you are experiencing issues with rasterio.warp on Windows please verify that you are using rasterio>=1.2.0.