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With this code you can open CRISM MTRDR data cubes, visualize the data, produce RGB mineral maps (browse products), and extract spectra with 3 different methods (point, 5x5 ROI, polygon drawing).

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beatricebs/crism-python-data-analysis

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crism-python-data-analysis

Introduction

In this repository you will find some code to open and carry out basic analysis of the CRISM MTRDR data cubes.

Main functionalities:

CRISM_cube_visualization_and_analysis.ipynb

  • Hyperspectral cube visualization;
  • Production of RGB browse product;
  • Spectra extraction (with spectral ratioing) from ROIs.

CRISM_ratioed_cube_MTRDR.ipynb

  • Computes a "ratioed" CRISM cube, where every pixel of the scene is a ratioed spectrum.

Dataset

Acknowledgements

This code was developed with the help of Dr. Mario D'Amore (DLR, Berlin, Germany) and Marco Baroni (University of Padova, Italy).

License

MIT

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With this code you can open CRISM MTRDR data cubes, visualize the data, produce RGB mineral maps (browse products), and extract spectra with 3 different methods (point, 5x5 ROI, polygon drawing).

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