
Overview
TESSERA is a global geospatial foundation model that turns the European Space Agency's raw Sentinel‑1 (SAR) + Sentinel‑2 (optical) time series into compact, gap-free, 128‑dimensional, 10‑meter embeddings, producing an annual “representation map” for every 10m land pixel worldwide from 2017–2025 (rolling forward each new year) enabling detailed analysis of land cover dynamics, vegetation health, and environmental monitoring over time. Each 10m pixel encodes a full year’s spectral‑temporal behavior across the two major sensor modalities (optical + radar), enabling downstream tasks (carbon quantification, land cover, canopy height, change detection, hazards, habitat mapping, biodiversity) to start from a compact annual descriptor instead of petabytes of raw scenes. This collapses costs and latency for analysts and builders while enhancing accuracy and enabling indexing.
Features and programs
Open Data Sponsorship Program
Pricing
This is a publicly available data set. No subscription is required.
How can we make this page better?
Legal
Content disclaimer
Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Open data resources
Available with or without an AWS account.
- How to use
- To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more
- Description
- TESSERA v1.1 Embeddings
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::tessera-embeddings/v1.1/dclimate.icechunk
- AWS region
- us-west-2
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://tessera-embeddings/v1.1/dclimate.icechunk/
Resources
Vendor resources
Support
Contact
Questions about the data can be raised as an issue at https://github.com/ucam-eo/geotessera/issues
How to cite
TESSERA (Temporal Embeddings of Surface Spectra for Earth Representation and Analysis) was accessed on DATE from https://registry.opendata.aws/tessera .
License
CC‑BY‑SA
Similar products



![Digital Earth Africa Sentinel-2 Level-2A Surface Reflectance Collec[...]](https://d1ewbp317vsrbd.cloudfront.net/7f2007da-6334-4b11-a01f-aa6908e7d17a.png)