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CHANGES.md

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## Changes in 1.10.1 (in development)
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## Changes in 1.11.0
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### Enhancements
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* Introduced a more efficient and robust approach for dataset reprojection:
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This release is fully dedicated to a more efficient and robust approach
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for dataset reprojection:
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* **New method:** Added `xcube.core.resampling.reproject_dataset`, a high-performance
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alternative to `xcube.core.resampling.resample_in_space` for reprojecting datasets
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to different coordinate reference systems (CRS).
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* **New method:** Added `xcube.core.resampling.reproject_dataset`, a high-performance
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alternative to `xcube.core.resampling.resample_in_space` for reprojecting datasets
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to different coordinate reference systems (CRS).
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* **Recommended usage:** Ideal for reprojection between regular grids. It improves
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computational efficiency and simplifies the reprojection process.
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It is not addressing _rectification_ from irregular to regular grids (e.g., Sentinel-3).
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* **Recommended usage:** Ideal for reprojection between regular grids. It improves
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computational efficiency and simplifies the reprojection process.
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It is not addressing _rectification_ from irregular to regular grids (e.g., Sentinel-3).
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* **Validation:** The notebook `examples/notebook/resampling/reproject_esa_cci_landcover_new_method.ipynb`
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shows that `reproject_dataset` and `resample_in_space` produce nearly identical
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results when reprojecting to a different CRS, with only negligible differences.
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* **Validation:** The notebook `examples/notebook/resampling/reproject_esa_cci_landcover_new_method.ipynb`
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shows that `reproject_dataset` and `resample_in_space` produce nearly identical
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results when reprojecting to a different CRS, with only negligible differences.
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* **Backward compatibility:** `resample_in_space` remains available to preserve
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compatibility with existing services. Once `reproject_dataset` proves stable in
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production use, it may be integrated into `resample_in_space`.
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* **Backward compatibility:** `resample_in_space` remains available to preserve
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compatibility with existing services. Once `reproject_dataset` proves stable in
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production use, it may be integrated into `resample_in_space`.
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* **Technical context:** `resample_in_space` currently uses either affine transforms
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or the [Spatial Rectification Algorithm](https://xcube.readthedocs.io/en/latest/rectify.html#spatial-rectification-algorithm),
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which is specialized for non-regular 2D grids (e.g., Sentinel-3). While applicable
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to regular grid reprojection, the algorithm is unnecessarily complex for such cases.
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* **Technical context:** `resample_in_space` currently uses either affine transforms
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or the [Spatial Rectification Algorithm](https://xcube.readthedocs.io/en/latest/rectify.html#spatial-rectification-algorithm),
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which is specialized for non-regular 2D grids (e.g., Sentinel-3). While applicable
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to regular grid reprojection, the algorithm is unnecessarily complex for such cases.
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## Changes in 1.10.0

xcube/version.py

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# Permissions are hereby granted under the terms of the MIT License:
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# https://opensource.org/licenses/MIT.
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version = "1.10.1.dev0"
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version = "1.11.0"

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