Skip to main content
U.S. flag

An official website of the United States government

Introduction to the Python Hyperspectral Analysis Tool (PyHAT)

March 25, 2022

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.

Publication Year 2022
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