Introduction to the Python Hyperspectral Analysis Tool (PyHAT)
Spectroscopic data are rich in information and are commonly used in planetary research. Many mission teams, research labs, and individual research scientists derive thematic products from multi- and hyperspectral data sets and apply spectroscopic analysis techniques to derive new understanding. The PyHAT is a powerful and versatile, free, and open-source Python library designed to support exploratory spectral data analysis, the derivation of mission generated thematic products, and the application of statistical learning methods to spectral data. We present a general overview of the software architecture and identify the classes of users we seek to support. Four case studies demonstrate the use for both orbital and in-situ (landed) hyperspectral data.
Citation Information
Publication Year | 2022 |
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Title | Introduction to the Python Hyperspectral Analysis Tool (PyHAT) |
DOI | 10.1016/B978-0-12-818721-0.00012-4 |
Authors | Jason Laura, Lisa R. Gaddis, Ryan Anderson, Itiya Aneece |
Publication Type | Book Chapter |
Publication Subtype | Book Chapter |
Index ID | 70249418 |
Record Source | USGS Publications Warehouse |
USGS Organization | Astrogeology Science Center; Western Geographic Science Center |