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Accessing Your Imagery

FHI writes every generated image directly into a storage container associated with your account — there is no per-file delivery API. This page walks through requesting access and browsing/downloading your imagery with a storage tool of your choice.

1. Request a storage access token

Call the SAS token endpoint to get time-limited, read-only access to your imagery: see Get Storage Access (SAS Token) for the full request and response shape. The response includes an account_name, a file_system, a sas_token, and a path prefix.

2. Connect a storage browser tool

The returned token works with any storage-compatible SDK, CLI, or graphical browser tool that supports connecting via a shared access signature (SAS) URL — for example, a storage-browser desktop application, a cloud provider's CLI, or your own code using a storage SDK. Connecting typically looks like:

  1. Open your storage browser tool and choose the option to attach/connect to an existing resource using a SAS URL or connection string.
  2. Provide a name for the connection (e.g., FHI files) and the SAS URL made up of your account_name / file_system and sas_token values.
  3. Connect. You should see your customer folder listed at the root of the container.

3. Navigate the folder structure

Imagery is organized using a deterministic hierarchy:

{customer}/fhi/planet/{field_id}/{date}/{image_type}.tiff

Where field_id is the identifier you supplied at enrollment, date is the imagery date (YYYY-MM-DD), and image_type is one of the outputs described in FHI Overview — Output types.

Example: bayer/fhi/planet/FIELD_001/2025-02-15/ndvi.tiff

4. Download files

Select one or more files under a {field_id}/{date}/ folder and download them using your tool's standard download action. Files can be downloaded individually or in bulk, depending on the capabilities of the tool you're using.

What you'll see

A natural-color reference image helps you confirm imagery quality (e.g., cloud cover) before interpreting analytics:

True color reference imagery

Vegetation maps give an absolute, ready-to-read interpretation of crop health:

Vegetation map example

Scouting maps highlight areas that may need field scouting. These are a relative interpretation — avoid comparing scouting maps across different dates directly:

Scouting map example