Earth Embeddings as Products: Taxonomy, Ecosystem, and Standardized Access

Heng Fang, Adam J. Stewart, Isaac Corley, Xiao Xiang Zhu, Hossein Azizpour
1/19/2026
cs.SEcs.CV

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Abstract

Geospatial Foundation Models (GFMs) provide powerful representations, but high compute costs hinder their widespread use. Pre-computed embedding data products offer a practical "frozen" alternative, yet they currently exist in a fragmented ecosystem of incompatible formats and resolutions. This lack of standardization creates an engineering bottleneck that prevents meaningful model comparison and reproducibility. We formalize this landscape through a three-layer taxonomy: Data, Tools, and Value. We survey existing products to identify interoperability barriers. To bridge this gap, we extend TorchGeo with a unified API that standardizes the loading and querying of diverse embedding products. By treating embeddings as first-class geospatial datasets, we decouple downstream analysis from model-specific engineering, providing a roadmap for more transparent and accessible Earth observation workflows.

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@article{fang2026earth,
  title  = {Earth Embeddings as Products: Taxonomy, Ecosystem, and Standardized Access},
  author = {Heng Fang and Adam J. Stewart and Isaac Corley and Xiao Xiang Zhu and Hossein Azizpour},
  year   = {2026},
  eprint = {2601.13134},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2601.13134v2}
}

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