The AρρEEARS API: Open for Business!

Author's Note: February 14, 2024 The AppEEARS resources have been updated since the publishing of this news announcement. Please visit: https://github.com/nasa/AppEEARS-Data-Resources to see the most recent AppEEARS Data Resources.

The Application for Extracting and Exploring Analysis Ready Samples (AρρEEARS) Application Programming Interface (API) has been operationally released. Most of the functionality you know and love from the AρρEEARS Graphical User Interface (GUI) is now available via the AρρEEARS API. The AρρEEARS API allows users to submit and download AρρEEARS requests via the command line or within software programming languages such as R and Python. Additionally, the API offers endpoints for other valuable AρρEEARS services such as the AρρEEARS quality service, which will decode bit-packed quality layers and return readable descriptions, much like the GUI does within the AρρEEARS visualizations.

There are a number of resources available to begin working with the AρρEEARS API:

• AρρEEARS API Documentation:
  • https://appeears.earthdatacloud.nasa.gov/api/
• Getting Started with the AρρEEARS API: Submitting and Downloading Point and Area Requests in Python Using Jupyter Notebooks:
  • https://lpdaac.usgs.gov/resources/e-learning/getting-started-with-the-a%CF%81%CF%81eears-api-submitting-and-downloading-a-point-request/ (point)
  • https://lpdaac.usgs.gov/resources/e-learning/getting-started-with-the-a%CF%81%CF%81eears-api-submitting-and-downloading-an-area-request/ (area)
• Using the AρρEEARS API in a Landsat ARD Workflow in Python (Xarray):
  • https://lpdaac.usgs.gov/resources/e-learning/using-the-a%CF%81%CF%81eears-api-in-a-landsat-ard-workflow-getting-started/

Have questions? Contact LP DAAC User Services.