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.
The algorithm has been developed using a 40,000-object dataset created specifically for this purpose.
The STAC item must be a display data product from SPOT.
The STAC item must be CNAM-compatible. Check that the STAC item has been added to storage in 2023 or later.
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.
Use the detection-wind-turbines-airbus name ID for the processing API.
A sample input payload for the process
JSON
{
"inputs": {
"title": "Processing imagery over Berlin",
"item": "https://api.up42.com/v2/assets/stac/collections/21c0b14e-3434-4675-98d1-f225507ded99/items/23e4567-e89b-12d3-a456-426614174000"
}
}
| Parameter | Overview |
|---|---|
inputs.title | object / required The title of the output objects: STAC item and STAC collection. |
inputs.item | object / required The STAC item link in the following format: https://api.up42.com/v2/assets/stac/collections/{collection-id}/items/{item-id} |