Change Detection Using AlphaEarth Foundations (Part 2)

Change detection with AlphaEarth Foundations measures how a place changes over time directly in embedding space, without hand-built spectral indices. This post scores temporal change using leave-one-out medoid distance and robust z-scoring per pixel, then runs it at scale on RasterFlow with a Colorado demonstration. The output flags where the landscape shifted and how strongly, ready to vectorize into geometries in WherobotsDB.

AlphaEarth Embeddings, Zonal Statistics, and PCA

Aggregate AlphaEarth embeddings over Iowa fields and visualize them with PCA.

Detecting Objects From Text Prompts with RasterFlow and Segment Anything 3

Exploring the capabilities of Segment Anything 3 on high-resolution Earth observation data.

How We Delivered “Fields of The World” with RasterFlow: A Planetary-Scale GeoAI Pipeline

See how we used RasterFlow to run a 100TB+ global GeoAI pipeline, from feature mosaics to predictions and vectors, with reproducible workflows.

Take-aways from the 2026 Geospatial Embeddings Workshop at Clark University

Some brief take-aways from a workshop to set standards for storing and sharing geospatial embeddings.

How Agricultural Fields Change in AlphaEarth Foundations

Explore how Alpha Earth Embeddings reveal crop cycles and field change over time using RGB views, PCA, and embedding-distance analysis.