Geospatial ML
Geospatial ML, Isaac Corley, Caleb RobinsonGeoSpatial ML is a weekly blog on geospatial machine learning — remote sensing, earth observation, foundation models, and applied ML for understanding our planet. Produced and edited by Isaac Corley & Caleb Robinson
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 13 | Founded | 8 months ago | Last Issue | 19 days ago |
| Active | |||||
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geospatialml.substack.comLatest Issues
Searching aerial imagery with DinoSats — Compressing Earth Embeddings, pt. 4
Cross-post from our blog at geospatialml.com/posts/dinosats with guest Blaž Rolih.
We made DinoSats, a web app for searching 380 km² of aerial imagery over San Diego by typing what you’re looking for. Type aircraft carrier and the U...
Q&A from the slop trenches
Cross-post from our blog at geospatialml.com/posts/reviewing-ai-slop
Between the two of us, we reviewed 22 paper submissions this summer, spread across NeurIPS, WACV, and TerraBytes (a geospatial workshop at ECCV). Fifteen of the 22...
Sentinel-2 Paint: Recreate Any Image from Real Satellite Imagery
A picture of one of the Sentinel-2 satellites, recreated by Sentinel-2 Paint (i.e. rebuilt entirely from 32×32 patches of its own imagery!)
Cross-post from our blog at geospatialml.com/posts/sentinel2-paint
Try it out here: https://calebr...
Similar but Different: A Benchmark for Measuring Whether Models Actually Use Multispectral Bands
Each row pairs two Sentinel-2 patches from different land-cover classes that look nearly identical in true color (left) but pull apart cleanly in the near-infrared (right). Building a dataset out of pairs like these is how we test whether a...
Running a U-Net Inside the GDAL CLI (Because Why Not)
Cross-post from our blog at geospatialml.com/posts/unet-in-gdal
Why would anyone want this
There is a specific kind of geospatial developer — you’ve met them — who believes the following things, in roughly this order:
- Pyth...
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Authors
The writers behind this newsletter.
GeoSpatial ML is a weekly blog on geospatial machine learning — remote sensing, earth observation, foundation models, and applied ML for understanding our planet. Produced and edited by Isaac Corley & Caleb Robinson
Director of AI/ML Research at Taylor Geospatial
Principal Research Scientist at Microsoft AI for Good Research Lab
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