I also blog at geospatialml.com with Isaac Corley.
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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 (68%) contained entirely fabricated citations,…
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What colors does the Earth actually come in? We built Sentinel-2 Paint to find out: a script that scours the Sentinel-2 archive for patches of every color the planet shows, and a browser app for playing with the…
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The broad availability of multispectral data is one thing that separates satellite-based machine learning from mainstream computer vision. Sentinel-2 L2A data has 12 surface-reflectance bands, which include visible…
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Multi-temporal super-resolution of a Sentinel-2 scene. From left: a single S2 natural-color observation (10m), a 0.8m aerial basemap for visual reference, a bicubic 10× upsample of the S2 input, our Gaussian-splat…
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The abundance of open satellite imagery and advances in geospatial ML and remote sensing methods have made it possible to monitor a growing list of variables directly from orbit. Burke et al. (2021, Science), for…
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In our TerraBit post last time, we binary-quantized the global Clay v1.5 embeddings down to 128 bytes per patch and served 50M of them from static object storage — implementing planetary scale retrieval entirely in…
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Update (2026-03-26): OlmoEarth-nano results throughout have been recomputed with properly normalized inputs. The initial version we released used unnormalized inputs, which significantly underestimated…
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How well do segmentation models actually use long-range spatial information to make decisions? No existing benchmark directly measures this, especially in remote sensing where most datasets can be solved with…
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How can you join AEF embeddings to census blocks, and how well do they predict different variables? We wrote a script for doing this! We find, for example, that statistics of AEF embeddings can differentiate between…
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One notebook, a few hundred lines of Python, and you go from raw Sentinel-2 imagery to a georeferenced water map you can open in QGIS. That’s the premise of the TorchGeo tutorial we put together for the ICLR 2026…
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Welcome to GeoSpatial ML — a place to share what we’re exploring, building, and reading at the intersection of geospatial data and machine learning. Many of us already swap papers, datasets, and half-baked…
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