McGibbney, Lewis Brown, Taylor Alexander Clayton, Heidi Ann Wang, Xiaomei Whitehall, Kim Coal and Open-pit surface mining impacts on American Lands (COAL) COAL is a <b>Python</b> library for processing <b>hyperspectral imagery</b> from remote sensing devices such as the Airborne Visible/InfraRed Imaging Spectrometer (AVIRIS). COAL was originally developed as a 2016 – 2017 senior capstone collaboration between scientists at the Jet Propulsion Laboratory (JPL) and computer science students at Oregon State University (OSU). COAL aims to provide a suite of algorithms for <b>classifying</b> land cover, <b>identifying</b> mines and other geographic features, and <b>correlating</b> them with environmental data sets. COAL is <b>Free and Open Source Software</b> with the pycoal toolkit licensed under the terms of the <a href="https://www.gnu.org/licenses/gpl-2.0.html">GPL v2.0</a>. aviris-c;aviris-ng;Hyperspectral Imaging;Python scripting language;gis-based;Photogrammetry and Remote Sensing 2018-01-12
    https://esip.figshare.com/articles/poster/Coal_and_Open-pit_surface_mining_impacts_on_American_Lands_COAL_/5782131
10.6084/m9.figshare.5782131.v1