Infrastructure change detection (Pléiades)

An algorithm that detects infrastructure changes between two different Pléiades images.


The algorithm detects changes in infrastructure across two Pléiades images. The result is a GeoJSON file with polygons drawn around the detected changes.

Infrastructure change detection can be used for urban planning, construction, fire risk estimation, land use management, and infrastructure monitoring.

See more on the marketplace.

Training data and accuracy

The algorithm has been developed using SPOT and Pléiades imagery.

For optimal results, the algorithm must be applied to imagery over urban areas with man-made infrastructure.

Requirements for input imagery

Checkmark inline-icon Both STAC items must be a display data product from Pléiades.

Checkmark inline-icon Both STAC items must be CNAM-compatible. Check that the STAC items have been added to storage in 2023 or later.

Checkmark inline-icon The geometries of the STAC items must overlap by at least 30%.

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 object. This title will be assigned to the resulting STAC item and STAC collection.

API input

A sample input payload for the process


  "inputs": {
    "title": "Processing imagery over Berlin",
    "items": [

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