Workshop on Satellite Embeddings
Embeddings for the rest of us
This page contains all you need to follow our hands-on workshop introducing satellite (geo-)embeddings and their practical applications, delivered at GISRUK’26. The workshop focuses on demystifying what satellite embeddings are, and how they can be used in real-world tasks such as semantic search, change detection, and predictive modelling, with live coding in Python.
Workshop Details
Date: Tuesday 14th April 2026
Time: 13:45 – 15:45
Location:
Room G26, Old Engineering Building (Y3)
Come here to learn about:
- What geo-embeddings are and why they matter
- How to work with embeddings in practical, real-world scenarios
- Techniques for semantic search and predictive modelling
- Hands-on Python labs
Schedule
| Time | Session |
|---|---|
| 13:45 – 14:00 | Embeddings Overview: what are they and why should I care? |
| 14:00 – 14:15 | Interactive exploration of embeddings |
| 14:15 – 14:35 | Semantic similarity [P] |
| 14:35 – 15:05 | Exploring change over time with embeddings [P] |
| 15:05 – 15:45 | Predictive modelling with embeddings [P] |
[P] - Section based on Python
Requirements
To get the most out of the workshop, participants should:
- Bring a laptop
- Be comfortable with basic Python (no prior experience with embeddings required)
However, we think there’s enough interesting stuff that does not rely on Python, so don’t make that deal breaker!
🛠️ Contributing
This is an open resource hosted on Github. We welcome contributions of all kinds—code, documentation, ideas, and more!
Please read our Contributing Guidelines for step-by-step instructions on how to:
- Fork and clone the repository
- Create a new branch for your changes
- Use issue and pull request templates
- Get acknowledged with the All Contributors Bot
- Resolve merge conflicts
If you’re new to open source, our guidelines are designed to make it easy for you to get started.
If you have questions, open an issue or start a discussion!
🙋 License
This repository uses a dual-licensing approach:
- MIT License for all software code (see LICENSE)
- Creative Commons Attribution 4.0 International (CC BY 4.0) for documentation, data, and non-code content
See the LICENSE file for full details.