Run SNAP in Docker

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If you work with ESA SNAP for EO processing and want a cleaner, reproducible, and portable setup, this tutorial shows how to install and run SNAP directly from Docker images.

The guide covers:

  • Using the snap13_python image with Python, SNAP, and Snappy/SNAPISTA

  • Pulling official SNAP Docker images from quay.io

  • Running SNAP and Python workflows in Jupyter Lab environments

  • Accessing and running gpt from the command line inside the container

  • Understanding Docker images, containers, and deployment basics

  • Understanding the differences between the snap13_python and snap13 images

  • Using practical Docker commands to launch and manage containers

  • Working with remote Linux or VM-based environments for SNAP processing

Why use SNAP in Docker?

  • Faster environment setup across machines

  • Consistent and reproducible processing environments

  • Easier integration with automated workflows

  • Cleaner dependency management

  • Convenient deployment on servers and cloud platforms

Tutorial:

Have you already used SNAP Docker containers in your EO workflows? It would be great to hear about your experiences and use cases.

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