Wind turbine detection

An algorithm that detects wind turbines in SPOT imagery.


The algorithm uses object detection in SPOT display imagery to detect wind turbines. The result is a GeoJSON file with polygons drawn around detected wind turbines.

Wind turbine detection can be used for energy production monitoring, infrastructure management, and construction monitoring.

See more on the marketplace.

Training data and accuracy

The algorithm has been developed using a 40,000-object dataset created specifically for this purpose.

Requirements for input imagery

Checkmark inline-icon The STAC item should be a SPOT image of the display radiometric processing level.

Checkmark inline-icon The STAC item should be CNAM-compatible. Check that the STAC item has been added to storage in 2023 or later.

Input parameters

Required parameters

Input imagery

You need to specify the STAC items you want to apply the process to.

Output title

You need to specify the title of the output objects. This title will be assigned to the resulting STAC item and STAC collection.

API input

A sample input payload for the process


      "title": "Wind turbine detection over Scotland",
      "item": ""

inputs.titleobject / required
The title of the output objects: STAC item and STAC collection.
inputs.itemobject / required
The STAC item link in the following format:{collection-id}/items/{item-id}