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Blog
9 posts on Earth Observation.
Utility Vegetation Management at Scale with Earth Intelligence
We mapped the trees tall enough to reach power lines in King County, WA and Shasta County, CA, using open NAIP imagery, Meta's canopy height model and Wherobots.
Putting the HERE Technologies and Wherobots partnership to work
Every road out of Mount Hermon, California, runs beside high-risk power lines. Wherobots and HERE Location Reasoning measured the trade-off in miles and minutes.
Yulin Naval Base in Satellite Imagery: AI-Assisted Vessel Counts
We ran six Vantor satellite images of Yulin Naval Base on Hainan through Wherobots RasterFlow and SAM3, then measured and checked every large detection.
RasterFlow is now available in Public Preview
RasterFlow makes planetary-scale earth intelligence workflows easy and costs predictable. We are excited to announce that RasterFlow is now in Public Preview, opening up the power of planetary scale Earth Intelligence to all Wherobots Professional Edition customers! RasterFlow let’s you solve complex monitoring challenges with vision-language models or tailored models for specific use cases, without […]
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.
Raster Processing at Scale: The Out-of-Database Architecture Behind WherobotsDB
Learn how WherobotsDB's out-of-database architecture processes terabyte-scale satellite imagery, elevation models, and sensor data at scale, enabling zonal statistics, raster algebra, and planetary-scale AI inference without custom infrastructure.
