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.
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.
Both data items must be the same supported data product:
Both data items must be CNAM-compatible. Check that the data items have been added to storage in 2023 or later.
The geometries of the data items must overlap by at least 30%.
You must specify the data items you want to apply the process to.
You must specify the title of the output data item.
Use the detection-change-spacept
name ID for the processing API.
{ "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" ] }}
Parameter | Overview |
---|---|
inputs.title | object | required The title of the output data item. |
inputs.items | array of strings | required Links to the data items in the following format: |