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="">GPL v2.0</a>.