Sentinel-2 Paint: Recreate Any Image from Real Satellite Imagery
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This post is published on geospatialml.com, the blog I write with Isaac Corley.

Principal Research Scientist at Microsoft's AI for Good Lab - Geospatial ML center
Published:
This post is published on geospatialml.com, the blog I write with Isaac Corley.
Published:
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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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…