WISER - A Customizable, Extendable Visualization and Analysis Tool for Imaging Spectroscopy Data
Abstract
Imaging spectroscopy data are becoming increasingly widespread in the earth, environmental, and planetary sciences, yet there are few tools available to facilitate the visualization of this data, develop and share codebases for novel analytical approaches, or provide dataset access for students and the public at-large. The most widely used image processing software packages are designed to work with two dimensional datasets and cannot handle the third, spectral dimension of imaging spectroscopy data. Commercial tools have burdensome licensing fees that hinder use in academic and research environments. Further complicating this problem is data volume with some imaging spectroscopy datasets well into the TB range. The Workbench for Imaging Spectroscopy Exploration and Research (WISER) is a visualization and analysis tool aimed at addressing this capability gap, making it both easy and free for researchers and students to explore imaging spectroscopy datasets and perform scientific analyses. Implemented in Python 3, and leveraging Python libraries used widely in scientific computing, WISER uses modern techniques to provide a user-friendly and responsive interface for exploring imaging spectroscopy data. Over the last year, WISER has gained several key capabilities, primarily focused on custom analysis tasks. WISER now supports user-implemented plugins for integrating custom processing, which may expose their own graphical workflows. A rich band-math capability is also provided, allowing users to generate and visualize computed results directly within the application. The band-math support may also be extended with user-implemented functions that encapsulate more advanced computations. We will be using WISER with field and laboratory imaging spectroscopy data, MRO/CRISM imaging spectroscopy and Mars-2020/Mastcam-Z multispectral imager data from Mars, upcoming EMIT Earth imaging spectrometer data, and upcoming Lunar Trailblazer imaging spectrometer and multispectral imager datasets from the Moon.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2021
- Bibcode:
- 2021AGUFMGC15B0696P