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Showing content from https://openeo.org/documentation/0.4/developers/examples/poc.html below:

Examples (proof of concept) | openEO

# Examples (proof of concept)

This page gives a detailed description of the openEO proof of concept use cases. After the proof of concept, this stays in the API to have some basic examples. The proof of concept covered three clearly defined example use cases and how they are translated to sequences of API calls:

  1. Deriving minimum NDVI measurements over pixel time series of Sentinel 2 imagery
  2. Create a monthly aggregated Sentinel 1 product from a custom Python script
  3. Compute time series of zonal (regional) statistics of Sentinel 2 imagery over user-specified polygons

Note: CORS and authentication is not included in these examples for simplicity. Repeating calls are also not included as it would not make much sense to list the same discovery requests (see Use Case 1, requests 1 to 6) for each use case individually.

# Use Case 1

Deriving minimum NDVI measurements over pixel time series of Sentinel 2 imagery.

A similar example (computing an EVI) is also available. (opens new window)

  1. Requesting the API versions available at the back-end

    Request

  2. Requesting the capabilities of the back-end

    Note: The actual request path depends on the response of the previous request.

    Request

  3. Check which collections are available at the back-end

    Request

  4. Request details about a specific collection (e.g. Sentinel 2)

    Note: The actual collection ID in the path depends on the response of the previous request.

    Request

  5. Check that needed processes are available

    Request

  6. Request the supported secondary web service types

    Request

  7. Create a WMS service

    Request

    Response

  8. Requesting the service information

    Request

  9. Download the data on demand from the WMS

    Omitted, not part of the openEO API.

# Use Case 2

Create a monthly aggregated Sentinel 1 product from a custom Python script.

  1. Upload python script

    Request

  2. Create a batch job

    Request

    Response

  3. Start batch processing the job

    Request

  4. Create a TMS service

    Request

    Response

  5. Requesting the service information

    Request

  6. Download the data on demand from the WMS

    Omitted, not part of the openEO API.

# Use Case 3

Compute time series of zonal (regional) statistics of Sentinel 2 imagery over user-specified polygons.

  1. Create a batch job

    Request

    Response

  2. Start batch processing the job

    Request

  3. Retrieve download links (after the job has finished)

    Request

    Response

  4. Download file(s)

    Request

    Response

    A JSON file containing the results, content omitted.

Last Updated: 7/16/2025, 11:07:21 PM


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