EnFROSP — EnMAP Fast Retrieval Of Snow Properties

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Authors: Daniel Scheffler, Alexander A. Kokhanovsky, Karl Segl
Cited by: 0

Abstract

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.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
8 January 2026