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Releases: sentinel-hub/eo-learn

Version 0.4.1

09 Jan 10:39
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Change log:

  • Added eolearn.features.radiometric_normalization module with EOTasks: ReferenceScenes, HistogramMatching, BlueCompositing, HOTCompositing, MaxNDVICompositing, MaxNDWICompositing and MaxRatioCompositing. Contributed by @JohannesSchmid
  • Jupyter notebooks about LULC restructured and updated.
  • Implemented eolearn.core.FeatureTypeSet class.
  • eolearn.core.FeatureParser has new parameter allowed_feature_types.
  • Fixed masking in InterpolationTask.
  • Added MaskFeature task.
  • Binary masks in eolearn.io and eolearn.mask are now cast to numpy.bool dtype.

Version 0.4.0

11 Dec 18:07
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Change log:

  • Core changes:

    • Support for Python 3.7 added.
    • EOPatch now supports vector features in geopandas.GeoDataFrame format and makes checks that they can't be added in any other format.
    • EOPatch checks that each discrete feature type has only numpy arrays with integer or bool dtype. If that is not the case a DeprecationWarning is thrown.
    • EOPatch now checks correct form of bbox and timestamp feature types. BBox has to be of type sentinelhub.BBox and timestamp a list of datetime.datetime or datetime.date objects.
    • Better error propagation while executing EOWorkflow or EOExecutor
    • Packages attrs, geopandas and sentinelhub are now core dependencies of eo-learn.
    • EOExecutor parameter file_path replaced by logs_folder
    • Improvements of EOExecutor multiprocessing functionalities
    • Parameters of EOWorkflow.dependency_graph method changed.
    • Minor improvements and fixes.
  • Other changes:

    • Added KrigingInterpolation task to eolearn.features - contributed by @jO-Osko
    • Added ErosionTask and RasterToVector task to eolearn.geometry.
    • Minor improvements and fixes of various tasks.

Version 0.3.3

23 Oct 14:44
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Change log:

  • Added example notebook with a complete processing chain of land use/land cover classification
  • Improvements of eolearn.features.InterpolationTask
  • Added eolearn.io.S1IWWMSInput and eolearn.io.S1IWWCSInput tasks - contributed by @wouellette

Version 0.3.2

08 Oct 17:17
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Change log:

  • Improved saving functionalities of EOPatch:
    • overwrite parameter replaced by overwrite_permission which can be either OverwritePermission.ADD_ONLY or OverwritePermission.OVERWRITE_FEATURES or OverwritePermission.OVERWRITE_PATCH.
    • compress parameter removed, uncompressed data can be saved by compress_level=0.
  • Added BlobTask, HOGTask and LocalBinaryPatternTask tasks to eolearn.features - contributed by @HugoFRN
  • Improvements of eolearn.features.InterpolationTask. Parameter resample_range can now also receive a list of new dates.
  • Fixed issue with EOExecutor missing a report.html file.
  • Various minor improvements and docs updates.

Version 0.3.0

21 Aug 22:21
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First official release of the package. Recent changes:

  • major improvements of all basic elements in eo-learn-core subpackage (i.e. EOPatch, EOTask, EOWorkflow and EOExecutor),
  • various new EOTasks added,
  • multiple EOTasks were renamed or their initialization parameters were changed,
  • documentation released (link),
  • package released to PyPI and can now be installed with pip (instructions).