Repo for undergraduate textbook
- Angelo Pio Rossi
- Stephan van Gasselt
- Mario d'Amore
- Trent Hare
- Nicola Tosi
- Sebastiano Padovan
- Matteo Niccoli
- ...
Use of Anaconda python advised. Parameter file for creating a conda virtual environment (to be checked if it covers all notebooks...)
for nbexntensions, see conda nb extension guide
name: pgbook
dependencies:
- python=3.4
- bokeh=0.9.2
- gdal
- numpy=1.9.*
- flask
- jupyter
- matplotlib (basemap)
- pandas
channels:
- conda-forge
dependencies:
- jupyter_contrib_nbextensions
- Common planetary map projections
- Hypsometry of the Terrestrial planets (sample notebook)
- Thermal emission spectral data
- Planetary imaging basics
- Hyperspecral data
- PCA to compress NASA's Pluto images
Part I: Methods and Tools
- Geologic Tools
- Exploration Tools :
- Planetary imaging basics
- PCA to compress NASA's Pluto images
- Hypsometry of the Terrestrial planets
- Hyperspecral data
- Thermal emission spectral data
- HRSC imagery and machine learning
- Cartography Tools :
- Ground Truth
Part II: Processes and Sources
- Meteorites
- Impact Cratering
- Endogenic Processes :
- Surface Processes
- Interiors and Atmospheres
Part III: Integration and Geological Syntheses
- The Terrestrial Planets:
- Icy and Rocky–Icy Satellites
- Small Bodies and Dwarf Planets
Part IV: Frontiers
- Astrobiology, the Emergence of Life, and Planetary Exploration
- Spaceand Planetary Resources
Appendix: Planetary Facts, Data and Tools Part V Index Terms
Eventual input files should be in a directory with the same name of the Jupyter notebook (or script, or alike) with the _input
suffix, e.g.. Similar approach for outputs, i.e. _output
.
├── hypsometry_terrestrial_planets.ipynb
└── hypsometry_terrestrial_planets_input
├── data-sources.md
└── topography
├── earth.etopo1.cea.tif
├── mars.mola.cea.tif
├── mars.mola.iau2000.cea.tif
├── mercury.mla.cea.tif
├── moon.lola.cea.tif
└── venus.magellan.filled.cea.tif