Home /Processing/Processes

Upsampling (Sentinel-2)

An algorithm that improves the spatial resolution of RGB bands in Sentinel-2 imagery.

Overview

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

General

Specification Description
Provider Nara Space
Process type

Enhancement from 3 credits per km2

Requirements for input imagery

Input data items must be added to storage in 2023 or later.

CollectionData product

Sentinel‑2

Catalog: Level 2A

Input parameters

You must specify the data items you want to apply the process to.

You must specify the title of the output data item.

API input

Use the upsampling-ns-sentinel name ID for the processing API.

JSON
{
  "inputs": {
    "title": "Processing imagery over Berlin",
    "item": "https://api.up42.com/v2/assets/stac/collections/21c0b14e-3434-4675-98d1-f225507ded99/items/23e4567-e89b-12d3-a456-426614174000"
  }
}
ParameterOverview
inputs.title

object | required

The title of the output data item.
inputs.item

object | required

A link to the data item in the following format: https://api.up42.com/v2/assets/stac/collections/{collection-id}/items/{item-id}.

Learn more