The standard mechanism by which any data is brought in and out of a Spark Dataframe is the Spark SQL DataSource. RasterFrames provides specialized DataSources for geospatial raster data and maintains compatibility with existing general purpose DataSources, such as Parquet.
- Catalog Readers
- Raster Readers
raster: the standard reader for most raster data, including single raster files or catalogs
geotiff: a simplified reader for reading a single GeoTIFF file
geotrellis: for reading a GeoTrellis layer
- Raster Writers
There is also support for vector data for masking and data labeling.