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A year of satellite observation, made lighter to carry.

TESSERA provides 10-meter, pixel-wise annual embeddings learned from Copernicus Sentinel-1 and Sentinel-2. ESA says the model first launched in 2025; its repository and a peer-reviewed CVPR 2026 paper now document the work.

Maturity
Demonstrated, stage 3 of 4
Support
3 sources · institution, repository
Scale
● ≈ 12,700 km · a year of Earth observation
Evidence detail
How we know ↓

Small research teams may need patterns from large satellite archives without the storage and compute to process every raw scene.

Earth-observation archives are large, multi-sensor, and costly to preprocess for each downstream task.

The model compresses a year of radar and optical observations into reusable per-pixel representations.

What was shown, and what wasn’t

Shown

ESA announced the peer-reviewed CVPR work on 4 June 2026; the paper reports 10-meter annual embeddings, and the linked repository provides implementation material. The available sources do not establish that every artifact was first released on that date.

Not shown · limits

  • An embedding discards information and is not a universal map.
  • Local crop, fire, or land-use claims require labels and independent validation.
  • Repository and data licenses must be checked separately.

Bright editorial interpretation

Reusable representations can lower the starting cost of a local mapping project while leaving validation with the user.

Still open

Which regions and seasons show weaker representations?

How much compute and expertise does local fine-tuning require?

What tasks fail compared with raw imagery?

How we know3 sources · checked 2026-09-19 · no corrections

Original sources

  1. Tessera AI model offers accessible way to view Earth ↗ · institution
  2. TESSERA — A pixel-wise earth observation foundation model ↗ · repository
  3. ucam-eo/tessera: TESSERA is a foundation model that can process time-series satellite imagery ↗ · repository

Institutions: European Space Agency · University of Cambridge Earth Observation

Maturity
Demonstrated
Claim confidence
high
Event date
2026-06-04
Source published
2026-06-04
Captured
2026-09-19
Last source review
2026-09-19
Editorial method
AI-assisted source review
Place / relevance
Global Earth observation · global-study

Bright compared this account with the linked original and supporting sources and kept reported, budgeted, projected, and observed claims distinct. Bright did not independently audit the underlying records.

Maturity describes the tested or operational setting. Confidence describes support for the particular claim; one does not determine the other.

Revision & correction history

2026-09-19 · Initial open Earth-embedding draft.

No corrections recorded.

Keep exploring

Explore the shared question in another setting. These connections do not imply replication.

An editorial connection recorded in Bright’s evidence catalog.An Earth model runs above the Earth. ↗An editorial connection recorded in Bright’s evidence catalog.An open model learns the Moon's surface. ↗A shared question: open science.When a model changed, its open recipe helped trace why. ↗QuestionWhat changes when computing leaves Earth? ↗QuestionWhat changes when powerful models become open-weight? ↗Related development · not a replicationAn open model learns the Moon's surface. ↗Related development · not a replicationAn Earth model runs above the Earth. ↗

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