Welcome to pyFRESCO documentation!

PyFRESCO is a Free and Open Source Python module made to open, extract, preprocess and analyze spectral data gathered from the Compact Reconnaissance Imaging Spectromoter for Mars (CRISM). This Python package features 4 different modules:

• RGB maps: possibility to create RGB maps from spectral paramters datacube. It is made up of a Python function that permits the user to open the CRISM MTRDR reflectance and spectral parameters datacubes, and a class that permits the creation and the interactive adjustement of RGB maps;

• Spectra Extraction: three different means of spectra extraction from the CRISM datacube. It is made up by a single class with which it possible to either draw on a given RGB map a polygon, a square or a point from which to select the spectra from the corresponding pixel position in the refelctance datacube;

• Spectra Normalization: various methods to normalize and pre process the target spectrum. It is made up of a single Python class in which 5 different methods for spectra continuum removal are implemented. Moreover two methods for smoothing are conceived inside the class and two methods for final normalization are possible;

• Spectra Analysis: possibility to either make analogue comparisons and/or spectral deconvolution. It is made up by 2 Python classes, one for direct spectral comparison with the spectra from the MICA files (Viviano-Beck et al., 2015) and for Machine Learning driven Modified Gaussian Models (Sunshine et al., 1990). The other class permits the analysis of mafic-related spectra with a pipeline adapted from Horgan et al., 2014.

• Installation
  • Step 1: Installing Anaconda
  • Step 2: Installing pyFRESCO
  • Step 2.1: Installing from PyPi
  • Step 2.2: Installing from source
  • Step 2.3: Where to run
  • Troubleshooting
• Notebooks
  • Notebook replicating a typical hyperspectral datacube analysis done using pyfresco
  • Notebook showing all the spectral extraction methods implemented in pyFRESCO
  • Notebook showing all the spectral normalization methods implemented in pyFRESCO
  • Notebook showing the MaficAnalysis method implemented in pyFRESCO
  • Notebook showing the ML-MGM method implemented in pyFRESCO
• PyFRESCO Modules
  • RGBImageManipulator
  • open_raw()
  • SpectraExtract
  • SpectraNorm
  • MaficAnalysis
  • SpectraAnalysis

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