Change detection

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


Overview

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

Both STAC items must be the same supported data product:

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

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

Use the detection-change-spacept name ID for the processing API.

A sample input payload for the process

JSON

    {
  "inputs": {
    "title": "Processing imagery over Berlin",
    "items": [
      "https://api.up42.com/v2/assets/stac/collections/68567134-27ad-7bd7-4b65-d61adb11fc78/items/23e4567-e89b-12d3-a456-426614174000",
      "https://api.up42.com/v2/assets/stac/collections/21c0b14e-3434-4675-98d1-f225507ded99/items/edeb6310-ea9a-4d8e-943d-11a5f3757824"
    ]
  }
}

  
ParameterOverview
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: https://api.up42.com/v2/assets/stac/collections/{collection-id}/items/{item-id}