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Raster Tiling
Clips rasters into tiles for machine learning algorithms.
Description
Raster Tiling is a generic preprocessing block that clips rasters into rectangle-shaped tiles and makes them ready for consumption by analytics algorithms. Tiling is especially important for large raster datasets that should be broken up into more manageable pieces to improve performance. Output tiles are GeoTIFFs with the same bands and resolution as the input data. Simple data augmentation is also supported.
Performance
Some ML algorithms can incur errors with tiles if they only support RGB.
Technical Documentation
Please see the technical documentation.
Capabilities
Input Capabilities
raster
up42_standard
- format
GTiff
Output Capabilities
raster
custom
- match_extents
${match_extents}- augmentation_factor
${augmentation_factor}
up42_standard
- bands
> (Propagated)
- dtype
> (Propagated)
- format
GTiff
- sensor
> (Propagated)
- resolution
> (Propagated)
- tile_width
${tile_width}- tile_height
${tile_height}- processing_level
> (Propagated)
End User License Agreement
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Sample image 9bf4f318