Science Support

Landsat Commercial Cloud Data Access

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Landsat Collection 2 data can be accessed from the Amazon Web Services (AWS) cloud platform. Leveraging the storage and processing that cloud services provide places the data next to the processing for the first time, offering new ways to explore the growing record of Landsat observations. 

Landsat Collection 2 Level-1 and Level-2 global scene-based data products are located in an Amazon Simple Storage Service (S3) s3://usgs-landsat requester pays bucket within the Oregon us-west-2 region.   (Note: this capability does not change existing user data access or workflows.) 

Tutorials

The following files are available to guide users while working with Landsat data in the AWS cloud. Each tutorial includes the Jupyter Notebook (.ipynb) file, along with .html output file. Additional tutorials will be added as they are developed. 

Simple Notification Service (SNS) Topic

The following Amazon Resource Name (ARN) is for an Amazon SNS topic that provides notifications whenever a new Landsat scene has been added to Landsat on AWS:    Learn more about subscribing to SNS topics

  • arn:aws:sns:us-west-2:673253540267:public-c2-notify
  • This topic publishes an Amazon S3 event message whenever a scene-level index.html file has been created, which is the last step in the process to make scene data available on Amazon S3. It will only accept subscriptions via Amazon SQS or AWS Lambda.

    SpatioTemporal Asset Catalog (STAC)

    All Landsat data stored in the AWS cloud platform include SpatioTemporal Asset Catalog (STAC) metadata. Key features of STAC metadata include:

    • Interoperability between satellite metadata (e.g., Landsat 8 + Sentinel 2 instruments)
    • Exposes data in a common, machine-readable JavaScript Object Notation (JSON) format for both end users and internal processes
    • Includes direct links to Amazon Simple Storage Service (S3) objects
    • Provides the ability to quickly search large collections of data using spatial and temporal areas of interest
    • Lives alongside product-level metadata (Landsat Metadata (MTL), Extensible Markup Language (XML)

    Visit the STAC GitHub Repo for more information about STAC, including examples and updates. Additional information regarding STAC metadata can be found at https://stacspec.org/.

      STAC Metadata Version Updates

      NOTICE July 26, 2021: The USGS has completed the regeneration of the STAC 1.0.0 records in our production environment. The software now generates STAC records containing the alt-assets extension to allow multiple HREFS, projection extension, corner point updates, and checksum. In addition, we have deployed a new STAC Server that no longer has a 10k record return limit.

      Occasional updates are made to STAC Metadata. Specifics about each update are listed at https://github.com/radiantearth/stac-spec/blob/master/CHANGELOG.md.

      Link to STAC Server API URL: https://ibhoyw8md9.execute-api.us-west-2.amazonaws.com/prod

      STAC Samples - C2 Level-2 Scenes

      The files listed below contain STAC metadata for Level-2 Surface Reflectance and Surface Temperature data for Landsat 8 OLI/TIRS Path 44 Row 34, Acquired January 14, 2020.

      STAC Samples - C2 Analayis Ready Data (C2 ARD)

      C2 ARD STAC records include a new Landsat-ARD STAC extension that includes the fields related to the tiled data, including grid_horizonal, grid_vertical, grid_region, scene_count, cloud_shadow_cover, snow_ice_cover, and fill. STAC records also provide reference to the Level-2 Albers scenes that are used in the production of each ARD tile. 

      The samples listed below contain STAC metadata for C2 ARD Landsat 7 Alaska tile AK_H015V004) acquired June 10, 2021. 

      STAC Browser

      The STAC browser is a web-based Graphical User Interface (GUI) that allows users to browse and review STAC records and thumbnails for Landsat data in the cloud. The tool can be found at http://landsatlook.usgs.gov/stac-browser.

      Documentation

      The Landsat Commercial Cloud Direct Access Users Guide provides basic information on how users leverage the Landsat data in the cloud in order to enhance existing workflows by utilizing common tools available in the commercial cloud environment.

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