xcube-resampling provides efficient algorithms for transforming datasets into different spatial grid mappings. It is designed for geospatial workflows that need flexible resampling and reprojection.
- Affine resampling – simple resampling using affine transformations
- Reprojection – convert datasets between different coordinate reference systems (CRS)
- Rectification – transform irregular grids into regular, well-structured grids
All methods work seamlessly with chunked (lazily loaded) xarray.Datasets and are powered by Dask for scalable, out-of-core computation.
The package is independent of the core xcube framework and has minimal dependencies:
affine, dask, dask-image, numba, numpy, pyproj, xarray, zarr.
Find out more in the xcube-resampling Documentation.