The process upsamples the spatial resolution of the red, green, and blue (RGB) spectral bands in Sentinel-2 imagery using convolutional neural networks.
The result is a GeoTIFF file with an upsampled spatial resolution of 3.20 m.
Upsampling can be used as a preprocessing step before change detection, vegetation detection, infrastructure detection, fire risk estimation, and land use management.
An input Sentinel-2 image of California (USA)
An upsampled output image
See more on the marketplace.
The STAC item must be a supported data product:
- Sentinel-2 catalog: Level 2A
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 upsampling-ns-sentinel name ID for the processing API.
A sample input payload for the process
JSON
{
"inputs": {
"title": "Image augmentation for Sentinel-2 imagery",
"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} |