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A package to resample, reproject, and rectify geospatial datasets.

Project description

xcube-resampling

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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.

✨ Features

  • 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.

⚡ Lightweight & Independent

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.

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