Example notebook for S6 - Generation of spectral indexes

Practical activity during the Geology & Planetary Mapping Winter School Program

• Name : S6 - Generation of spectral indexes
• Lead: Francesca Altieri (INAF); Francesca Zambon (INAF)
• Description : Exploiting spectral data to generate compositional indexes.
• Instructors : Cristian Carli (INAF); Sabrina Ferrari (UNIPD); Mario D'Amore (DLR); Jacopo Nava (UNIPD)
• Data preparation : Francesca Altieri (INAF); Francesca Zambon (INAF)
• Data Source : Data from NASA MESSENGER/MDIS camera from Mercury. Data available here below.
  • MESSENGER > Explore > Quick Map-Orbital-Data
  • MESSENGER Imaging Node Mission Page
  • PDS Geosciences Node Data and Services: MESSENGER Mission
• Code : Mario D'Amore (DLR, mario.damore@dlr.de)

This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 776276 & No. 871149.

Exploiting spectral data to generate compositional indexes. See attacched presentations.

Setup working enviroment

You can install python modules in any way you want to run this notebook, if you have the following packages available :

pip install jupyterlab numpy pandas matplotlib ipython rasterio skimage

The easy way is to install anaconda for your OS > Installation — Anaconda documentation then :

## create an enviroment with the desired packages
conda create -n spectral-indexes-workshop -c conda-forge jupyterlab numpy pandas matplotlib ipython rasterio skimage

## activate it
conda acrivate spectral-indexes-workshop

## run jupyter lab
jupyter lab

## then open this ipynb : ipython notebook