COAL 0.5.2 released

We are proud to announce the immediate release and availability of COAL 0.5.2. We urge all users of the pycoal Python package to upgrade to this release immediately.

What is COAL?

COAL is a Python library for processing hyperspectral imagery 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 classifying land cover, identifying mines and other geographic features, and correlating them with environmental data sets. COAL is Free and Open Source Software with the pycoal toolkit licensed under the terms of the GPL v2.0.

How do I install it?

The Python COAL package pycoal can be installed from the cheeseshop

$ pip install pycoal

or from conda

$ conda install -c conda-forge pycoal

How do I get started?

See our Quickstart Documentation.

Community and Development

To become involved or if you require help using the project request to join our mailing list. If you have issue using COAL, please log a ticket in our Github issue tracker.