.. image:: https://enmap.git-pages.gfz-potsdam.de/GFZ_Tools_EnMAP_BOX/EnPT/img/EnPT_logo_final.svg :width: 300px :alt: EnPT Logo

============================ EnPT - EnMAP Processing Tool

The EnPT Python package is an automated pre-processing pipeline for the new EnMAP hyperspectral satellite data. It provides free and open-source features to transform EnMAP Level-1B data to Level-2A. The package has been developed at the German Research Centre for Geosciences Potsdam (GFZ) as an alternative to the processing chain of the EnMAP Ground Segment.

Please check the documentation_ for installation and usage instructions and in depth information.
Information on how to cite the EnPT Python package can be found in the CITATION <https://git.gfz-potsdam.de/EnMAP/GFZ_Tools_EnMAP_BOX/EnPT/-/blob/main/CITATION>__ file.

License

Free software: GNU General Public License v3 or later (GPLv3+)

All images contained in any (sub-)directory of this repository are licensed under the CC0 license which can be found here <https://creativecommons.org/publicdomain/zero/1.0/legalcode.txt>__.

Feature overview

read EnMAP Level-1B input data
radiometric conversion to top-of-atmosphere radiance
dead pixel correction
atmospheric correction (based on SICOR for land and ACwater Polymer via Polymer_ for water surfaces)
optional export of additional results from atmospheric parameter retrieval
detection and correction of geometric misregistrations compared to user provided spatial reference (based on AROSICS_)
orthorectification
write EnMAP Level-2A output data

Status

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.. |badge2| image:: https://git.gfz-potsdam.de/EnMAP/GFZ_Tools_EnMAP_BOX/EnPT/badges/main/coverage.svg :target: https://enmap.git-pages.gfz-potsdam.de/GFZ_Tools_EnMAP_BOX/EnPT/coverage/

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.. |badge4| image:: https://img.shields.io/pypi/v/enpt.svg :target: https://pypi.python.org/pypi/enpt

.. |badge5| image:: https://img.shields.io/conda/vn/conda-forge/enpt.svg :target: https://anaconda.org/conda-forge/enpt

.. |badge6| image:: https://img.shields.io/pypi/l/enpt.svg :target: https://git.gfz-potsdam.de/EnMAP/GFZ_Tools_EnMAP_BOX/EnPT/-/blob/main/LICENSE

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.. |badge8| image:: https://img.shields.io/pypi/dm/enpt.svg :target: https://pypi.python.org/pypi/enpt

.. |badge9| image:: https://zenodo.org/badge/253474970.svg :target: https://zenodo.org/badge/latestdoi/253474970

See also the latest coverage report and the pytest HTML report.

History / Changelog

You can find the protocol of recent changes in the EnPT package here <https://git.gfz-potsdam.de/EnMAP/GFZ_Tools_EnMAP_BOX/EnPT/-/blob/main/HISTORY.rst>__.

Credits

This software was developed within the context of the EnMAP project supported by the DLR Space Administration with funds of the German Federal Ministry of Economic Affairs and Energy (on the basis of a decision by the German Bundestag: 50 EE 1529) and contributions from DLR, GFZ and OHB System AG.

Sentinel-2 spatial reference test data have been provided by ESA.

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

.. Cookiecutter: https://github.com/audreyr/cookiecutter .. audreyr/cookiecutter-pypackage: https://github.com/audreyr/cookiecutter-pypackage .. _documentation: https://enmap.git-pages.gfz-potsdam.de/GFZ_Tools_EnMAP_BOX/EnPT/doc .. _coverage: https://enmap.git-pages.gfz-potsdam.de/GFZ_Tools_EnMAP_BOX/EnPT/coverage/ .. _pytest: https://enmap.git-pages.gfz-potsdam.de/GFZ_Tools_EnMAP_BOX/EnPT/test_reports/report.html .. _SICOR: https://git.gfz-potsdam.de/EnMAP/sicor .. AROSICS: https://git.gfz-potsdam.de/danschef/arosics .. ACwater Polymer: https://gitlab.awi.de/phytooptics/acwater .. _Polymer: https://forum.hygeos.com