Change detection

An algorithm that detects changes between two different SPOT or Pléiades images from the same collection and returns a change map.


The algorithm normalizes lighting and detects changes across two SPOT or Pléiades images from the same collection. The result is a GeoTIFF file that maps changes between the imagery and a GeoJSON file with polygons drawn around the detected changes.

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

See more on the marketplace.

Requirements for input imagery

Checkmark inline-icon Both STAC items must be a display data product from one of the following collections: Pléiades or SPOT. They must be sourced from the same collection.

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 objects. This title will be assigned to the resulting STAC items 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}