Listing Thumbnail

    TESSERA (Temporal Embeddings of Surface Spectra for Earth Representation and Analysis)

     Info
    Open data
    |
    Deployed on AWS
    TESSERA is a global geospatial foundation model that turns the European Space Agency's raw Sentinel1 (SAR) + Sentinel2 (optical) time series into compact, gap-free, 128dimensional, 10meter 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 spectraltemporal 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.

    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

    This dataset is part of the Open Data Sponsorship Program, an AWS program that covers the cost of storage for publicly available high-value cloud-optimized datasets.

    Pricing

    This is a publicly available data set. No subscription is required.

    How can we make this page better?

    Tell us how we can improve this page, or report an issue with this product.
    Tell us how we can improve this page, or report an issue with this product.

    Legal

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    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

    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