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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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