Workshop: Earth observation foundation models with Prithvi-EO-2.0 and TerraTorch
40Enhance your skills in leveraging state-of-the-art geospatial foundation models? Are you familiar with basic concepts of machine learning and Earth observation data? Then this hands-on workshop is perfect for you. It introduces how to utilize the powerful Prithvi-EO-2.0 foundation model with TerraTorch to perform flexible geospatial tasks.
Workshop Focus Areas
The workshop will cover three key use cases:
Image Classification: Learn to classify satellite imagery for land cover mapping.
Segmentation: Explore techniques for precise delineation of geographical features.
Regression: Discover how to predict continuous variables from satellite data.
Tools and Frameworks
Participants will gain hands-on experience with:
Prithvi-EO-2.0: A state-of-the-art geospatial foundation model trained on diverse Earth observation data.
TerraTorch: An efficient, open-source framework for geospatial deep learning developed by IBM.
Practical Applications: Real-world scenarios demonstrating the power of geospatial AI.
Workshop Agenda
Part 1: Introduction to Prithvi-EO-2.0 and TerraTorch
Overview of Prithvi-EO-2.0.
Setting up your environment.
Basic usage of TerraTorch.
Part 2: Hands-on Sessions
Participants are provided with an environment to run their code and notebooks tailored to explore the following tasks:
Image Classification: Perform land cover mapping using satellite imagery.
Segmentation: Extract and delineate geographical features with precision.
Regression: Predict environmental variables from satellite data.
Key Takeaways
Participants come away from the workshop understanding how to setup and use the TerraTorch environment, load and preprocess satellite imagery, fine-tune Prithvi-EO-2.0, as an example of one of the foundation models available in TerraTorch, for different AI tasks, and evaluate the model performance.
We only have 5 years to achieve the United Nations’ sustainable development goals, and AI is impacting people and the planet. We are the AI generation, and it is our responsibility to ensure that no one is left behind.
AI for Good is identifying trustworthy AI applications, building skills and standards, and advancing AI governance for sustainable development.
AI for Good is organized by ITU in partnership with over 40 UN Sister Agencies and co-convened with the Government of Switzerland.
Join the Neural Network!
👉 https://aiforgood.itu.int/neural-network/
The AI for Good networking community platform powered by AI.
Designed to help users build connections with innovators and experts, link innovative ideas with social impact opportunities, and bring the community together to advance the SDGs using AI.
🔴 Watch the latest #AIforGood videos!
📩 Stay updated and join our weekly AI for Good newsletter:
http://eepurl.com/gI2kJ5
🗞 Check out the latest AI for Good news:
https://aiforgood.itu.int/newsroom/
📱 Explore the AI for Good blog:
https://aiforgood.itu.int/ai-for-good-blog/
🌎 Connect on our social media:
Website: https://aiforgood.itu.int/
X: https://twitter.com/AIforGood
LinkedIn Page: https://www.linkedin.com/company/26511907
LinkedIn Group: https://www.linkedin.com/groups/8567748
Instagram: https://www.instagram.com/aiforgood
Facebook: https://www.facebook.com/AIforGood
Disclaimer:
The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.