Ready to take your geospatial analysis beyond traditional pixel-shuffling? This week, we are diving into the cutting edge of GeoAI. We’re moving past standard classifiers to explore how Alpha Embeddings and advanced AI can unlock deeper patterns in satellite imagery.

Instead of just looking at raw spectral values, we’ll show you how to represent geographic data in high-dimensional space for more robust and intelligent classification. We will wrap everything up with a real-world use case to show exactly how these models perform in the field.

What’s on the Agenda?

• Introduction to GeoAI: How deep learning and embeddings are changing the way we interpret the Earth.

• Alpha Embeddings Explained: Understanding how to transform complex geospatial data into vector representations for better AI performance.

• Advanced Classification Workflow: Moving beyond Random Forest to leverage AI-driven classification within the Earth Engine ecosystem.

• Real-World Use Case: A step-by-step walkthrough of a practical application (e.g., complex crop mapping or urban change detection).

• Performance Benchmarking: Comparing AI-driven results against traditional GEE supervised methods.

🛠 Prerequisites

• A solid grasp of the GEE Code Editor and API.

• Familiarity with Machine Learning concepts (training vs. testing).

• Comfortable with JavaScript or Python workflows in Earth Engine.

• An active Google Earth Engine account.

📅 When & Where

• Date: 28 March 2026

• Time: 8:00 PM EAT

• Location: Virtual

👉 Don't settle for "good enough" maps. Join us to learn how to implement the next generation of spatial intelligence. Register now and elevate your geospatial career!