Land Cover Classifier for Pléiades/SPOT
Classifies imagery into discrete land cover classes.
Description
A processing block that assigns each of the input image pixels to a discrete land cover class.
See this block on the marketplace.
Compatibility
Catalog collections
Use in combination with Processing from Storage.
How it works
| Parameter | Overview |
|---|---|
nclasses | integer / required The number of land cover classes. The allowed values:
4. |
Land cover classes
| Class | Overview |
|---|---|
1 | Water |
2 | High vegetation (including trees) |
3 | Low vegetation (including bushes and grass) |
4 | Barren land |
5 | Urban (including roads and buildings) |
Accuracy assessment
| Accuracy metrics | With 4 classes | With 5 classes |
|---|---|---|
| Accuracy | 0.75 | 0.64 |
| Jaccard | 0.22 | 0.51 |
Capabilities
Input
raster
| up42_standard | |
|---|---|
bands | [
"red",
"green",
"blue",
"nir"
] |
dtype | uint16 |
format | GTiff |
sensor | {
"or": [
"Pleiades",
"SPOT"
]
} |
processing_level | l2 |
Output
raster
| up42_standard | |
|---|---|
bands | [
"landcover"
] |
dtype | uint8 |
format | > (propagated) |
sensor | > (propagated) |
resolution | > (propagated) |
To know more please check the block capabilities specifications.