EnFROSP 0.3.2

EnMAP Fast Retrieval Of Snow Properties

EnFROSP is a Python package for advanced atmospheric correction of EnMAP hyperspectral satellite data over snow and ice. It implements several snow parameter retrieval algorithms originally developed in FORTRAN by Alexander Kokhanovsky, enabling the retrieval of key snow properties such as grain size, albedo, and impurities for both clean and polluted snow. EnFROSP takes the official EnMAP L1C data product, provided by the German Aerospace Center (DLR), as input and delivers the retrieval results as ENVI BSQ files.

• Free software: Apache Software License 2.0

• Documentation: https://EnMAP.git-pages.gfz-potsdam.de/GFZ_Tools_EnMAP_BOX/enfrosp/doc/

Status

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

Feature overview

• Retrieval of snow properties from the EnMAP L1C product such as:

  • clean snow grain size and spectral albedo

  • polluted snow grain size, spectral albedo and impurity load

  • snow broadband albedo

History / Changelog

You can find the protocol of recent changes in the EnFROSP package here.

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.

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