eolearn.core.eodata_merge

A module implementing EOPatch merging utility

eolearn.core.eodata_merge.merge_eopatches(*eopatches, features=Ellipsis, time_dependent_op=None, timeless_op=None)[source]

Merge features of given EOPatches into a new EOPatch.

Parameters:

  • eopatches (EOPatch) – Any number of EOPatches to be merged together.

  • features (eolearn.core.types.FeaturesSpecification) – A collection of features to be merged together. By default, all features will be merged.

  • time_dependent_op (Literal[None, 'concatenate', 'min', 'max', 'mean', 'median'] | ~typing.Callable | None) –

    An operation for joining data for time-dependent raster features. Before joining time slices of all arrays will be sorted. Supported options are:

    • None: If time slices with matching timestamps have the same values, take one. Raise an error otherwise.

    • ’concatenate’: Keep all time slices, even the ones with matching timestamps

    • ’min’: Join time slices with matching timestamps by taking minimum values. Ignore NaN values.

    • ’max’: Join time slices with matching timestamps by taking maximum values. Ignore NaN values.

    • ’mean’: Join time slices with matching timestamps by taking mean values. Ignore NaN values.

    • ’median’: Join time slices with matching timestamps by taking median values. Ignore NaN values.

  • timeless_op (Literal[None, 'concatenate', 'min', 'max', 'mean', 'median'] | ~typing.Callable | None) –

    An operation for joining data for timeless raster features. Supported options are:

    • None: If arrays are the same, take one. Raise an error otherwise.

    • ’concatenate’: Join arrays over the last (i.e. bands) dimension

    • ’min’: Join arrays by taking minimum values. Ignore NaN values.

    • ’max’: Join arrays by taking maximum values. Ignore NaN values.

    • ’mean’: Join arrays by taking mean values. Ignore NaN values.

    • ’median’: Join arrays by taking median values. Ignore NaN values.

Returns:

A merged EOPatch

Return type:

EOPatch