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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.
| General Information | Description |
|---|---|
| Block Type | Processing (data preparation) |
| Supported Input Types | AOI Clipped, any georeferenced GeoTIFF |
| Resolution | identical to the input |
| Performance | Some ML algorithms can incur errors with tiles if they only support RGB. |
Learn more about the documentation here.
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Sample image ce500621