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Geospatial embeddings

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These are embeddings that take some Earth observation data (usually from satellites) for each point on the map, and turn it into an N-dimensional vector. This vector is very rich in meaning, so you can just look at the vector and make predictions about the point.

TESSERA earth embeddings: https://arxiv.org/abs/2506.20380
Geospatial embeddings and plants: https://toao.com/blog/can-we-really-see-brambles-from-space
Barlow Twins for embeddings: https://arxiv.org/abs/2103.03230
GIS datasets: https://gisgeography.com/gis-datasets/

Citation

If you find this work useful, please cite it as:

@article{yaltirakli,
  title   = "Geospatial embeddings",
  author  = "Yaltirakli, Gokberk",
  journal = "gkbrk.com",
  year    = "2025",
  url     = "https://www.gkbrk.com/geospatial-embeddings"
}

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IEEE Citation

Gokberk Yaltirakli, "Geospatial embeddings", September, 2025. [Online]. Available: https://www.gkbrk.com/geospatial-embeddings. [Accessed Sep. 29, 2025].

APA Style

Yaltirakli, G. (2025, September 29). Geospatial embeddings. https://www.gkbrk.com/geospatial-embeddings

Bluebook Style

Gokberk Yaltirakli, Geospatial embeddings, GKBRK.COM (Sep. 29, 2025), https://www.gkbrk.com/geospatial-embeddings

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