Introduction
For more information, please read the block description.
Block type: PROCESSING
This block takes an Sentinel-2 L1C/L2A MSI Full Scenes image and runs superresolution algorithm on it. This algorithm creates a 10m resolution for all the existing spectral bands within 20m and 60m resolutions by using a trained convolutional neural network.
This block works on a minimum image size of 192x192 pixels. This is equivalent to a minimum area of 4 km².
Supported parameters
bbox
: The bounding box to use as an AOI. Will clip to scenes that intersect with this box. Use onlybbox
orintersects
orcontains
.intersects
: A GeoJSON geometry to use as an AOI. Will clip to scenes that intersect with this geometry. Use onlybbox
orintersects
orcontains
.contains
: A GeoJSON geometry to use as an AOI. Will clip to scenes that intersect with this geometry. Use onlybbox
orintersects
orcontains
.clip_to_aoi
: When set totrue
, the area that defined inbbox
,contains
, orintersect
for previous data block will be clipped for processing. Note that by default this parameter isfalse
which means that the whole scene will be processed.copy_original_bands
: If set totrue
, the original 10m resolution band will also be included in the output image.
Example parameters using the Sentinel:2 L1C MSI Full Scenes block as data source and then applying s2-superresolution clipped to the specific AOI:
{
"sobloo:s2:l1c:fullscene:1": {
"ids": null,
"time": null,
"limit": 1,
"intersects": {
"type": "Polygon",
"coordinates": [
[
[
55.341868,
25.240834
],
[
55.350924,
25.240542
],
[
55.350666,
25.233244
],
[
55.342362,
25.233322
],
[
55.341868,
25.240834
]
]
]
}
},
"s2-superresolution:1": {
"intersects": {
"type": "Polygon",
"coordinates": [
[
[
55.341868,
25.240834
],
[
55.350924,
25.240542
],
[
55.350666,
25.233244
],
[
55.342362,
25.233322
],
[
55.341868,
25.240834
]
]
]
},
"clip_to_aoi": true,
"copy_original_bands": false
}
}
Output format
GeoTIFF format. Also in the output file all the spectral bands for 20m and 60m will be in 10m spatial resolution.
Capabilities
Input
raster
up42_standard | |
---|---|
bands | [
"coastal",
"blue",
"green",
"red",
"rededge",
"rededge2",
"rededge3",
"nir",
"nir2",
"watervapour",
"swir",
"swir2",
"swir3"
] |
dtype | uint16 |
format | SAFE |
sensor | Sentinel2 |
resolution | 10 |
processing_level | {
"or": [
"l1",
"l2"
]
} |
Output
raster
up42_standard | |
---|---|
bands | > (propagated) |
dtype | > (propagated) |
format | GTiff |
sensor | > (propagated) |
resolution | > (propagated) |
processing_level | > (propagated) |
Download example output
You can create example output to use when testing processing blocks built to work with this data by running the block in a workflow via the console, and downloading the results in the job overview.