betaearth-segformer

betaearth-segformer

BetaEarth SegFormer-B2 no FiLM (ISPRS baseline) — no timestamp needed

Part of the BetaEarth family — fully trainable, without temporal conditioning.

Usage

pip install betaearth

from betaearth import BetaEarth

model = BetaEarth.from_pretrained("asterisk-labs/betaearth-segformer")
embedding = model.predict(
    s2_l2a=s2_l2a,   # (9, H, W) uint16
    s1=s1,            # (2, H, W) float32
    dem=dem,          # (1, H, W) float32
    doy=182,
)
# embedding: (H, W, 64) numpy array

All BetaEarth models

Citation

@inproceedings{czerkawski2026betaearth,
  title     = {BetaEarth: Emulating Closed-Source Earth Observation Foundation Models Through Their Public Embeddings},
  author    = {Czerkawski, Mikolaj},
  booktitle = {ISPRS Congress 2026},
  year      = {2026}
}

License

CC-BY 4.0. Training data attribution: "The AlphaEarth Foundations Satellite Embedding dataset is produced by Google and Google DeepMind."