GitHub / beatricebs / crism-python-data-analysis
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).
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/beatricebs%2Fcrism-python-data-analysis
PURL: pkg:github/beatricebs/crism-python-data-analysis
Stars: 0
Forks: 0
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 3.77 MB
Dependencies parsed at: Pending
Created at: almost 2 years ago
Updated at: almost 2 years ago
Pushed at: over 1 year ago
Last synced at: over 1 year ago
Commit Stats
Commits: 8
Authors: 3
Mean commits per author: 2.67
Development Distribution Score: 0.25
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/beatricebs/crism-python-data-analysis
Topics: hyperspectral-imaging, planetary-data, remote-sensing, spectroscopy