index.html

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{% include header.html %}

      <!-- carousel -->
      <!-- images should be 900x600 px -->
      <div id="coalCarousel" class="carousel slide" data-ride="carousel">

        <ol class="carousel-indicators">
          <li data-target="#coalCarousel" data-slide-to="0" class="active"></li>
          <li data-target="#coalCarousel" data-slide-to="1"></li>
          <li data-target="#coalCarousel" data-slide-to="2"></li>
          <li data-target="#coalCarousel" data-slide-to="3"></li>
          <li data-target="#coalCarousel" data-slide-to="4"></li>
        </ol>

        <div class="carousel-inner" role="listbox">

          <div class="item active">
            <img src="images/carousel-escondida.jpg" alt="Hyperspectral imagery of the Escondida Mine in Chile.
Courtesy NASA/JPL-Caltech." title="Hyperspectral imagery of the Escondida Mine in Chile.
Courtesy NASA/JPL-Caltech." />
            <div class="container">
              <div class="carousel-caption">
                <h1>Process Imagery</h1>
                <p>Load and process georeferenced hyperspectral imagery.</p>
              </div>
            </div>
          </div>

          <div class="item">
            <img src="images/carousel-hypercube.png" alt="Three-dimensional visualization of hyperspectral imagery
displaying spectral bands" title="Three-dimensional visualization of hyperspectral imagery
displaying spectral bands." />
            <div class="container">
              <div class="carousel-caption">
                <h1>Analyze Spectra</h1>
                <p>Characterize images using spectral reflectance curves.</p>
              </div>
            </div>
          </div>

          <div class="item">
            <img src="images/carousel-minerals.png" alt="Mineral-classified image showing land surface types
surrounding a coal facility in Craig, Colorado." title="Mineral-classified image showing land surface types
surrounding a coal facility in Craig, Colorado." />
            <div class="container">
              <div class="carousel-caption">
                <h1>Identify Minerals</h1>
                <p>Classify land cover with spectral libraries.</p>
              </div>
            </div>
          </div>

          <div class="item">
            <img src="images/carousel-mining.png" alt="Map of coal mine, waste classifications, water resources, and
surrounding geography." title="Map of coal mine, waste classifications, water resources, and
surrounding geography." />
            <div class="container">
              <div class="carousel-caption">
                <h1>Map Mines</h1>
                <p>Locate mines and other surface features.</p>
              </div>
            </div>
          </div>

          <div class="item">
            <img src="images/carousel-environment.png" alt="Distribution of coal mining waste classifications along streams and water bodies." title="Distribution of coal mining waste classifications along streams and water bodies." />
            <div class="container">
              <div class="carousel-caption">
                <h1>Environmental Impact</h1>
                <p>Correlate mining with environmental impacts on water resources.</p>
              </div>
            </div>
          </div>

          <a class="left carousel-control" href="#coalCarousel" role="button" data-slide="prev">
            <span class="glyphicon glyphicon-chevron-left" aria-hidden="true"></span>
            <span class="sr-only">Previous</span>
          </a>
          <a class="right carousel-control" href="#coalCarousel" role="button" data-slide="next">
            <span class="glyphicon glyphicon-chevron-right" aria-hidden="true"></span>
            <span class="sr-only">Next</span>
          </a>

        </div>
      </div>

      <!-- overview -->
      <h1>Coal and Open-pit surface mining impacts on American Lands (COAL)</h1>
      <p>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 provides 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 <code>pycoal</code> library licensed under the <a class="external" href="https://github.com/capstone-coal/pycoal/blob/master/LICENSE">GNU GPLv2.0</a>.</p>

      <!-- site map -->
      <div class="row">

        <!-- documentation -->
        <div class="col-lg-4">
          <h2>Docs</h2>
          <p>Read the <a href="docs">documentation</a> to learn how to install and use the Python COAL package <a class="external" href="https://pypi.python.org/pypi/pycoal"><code>pycoal</code></a>.</p>
          <p>For more information:</p>
          <ul>
            <li>Browse the <a class="external" href="https://pycoal.readthedocs.io/en/latest/">API reference</a> for detailed class and method documentation,</li>
            <li>Visit our <a class="external" href="https://github.com/capstone-coal">GitHub Organization</a> for the source code and issue tracker, or</li>
            <li>View development documentation on our <a class="external" href="https://github.com/capstone-coal/pycoal/wiki">wiki</a>.</li>
          </ul>
        </div>

        <!-- blog -->
        <div class="col-lg-4">
          <h2>Blog</h2>
          <p>Our most recent posts:</p>
          <ul>
            {% for post in site.posts limit:5 %}
            <li><a href="{{ site.baseurl }}{{ post.url }}">{{post.title}}</a></li>
            {% endfor %}
          </ul>
          <p>View all of our posts on our <a href="blog">blog</a>.</p>
        </div>

        <!-- team -->
        <div class="col-lg-4">
          <h2>Team</h2>
          <p>COAL was originally developed as a 2016&thinsp;&ndash;&thinsp;2017 a <b>Oregon State University (OSU)</b> senior capstone project.</p>
          <p>COAL development continued as a 2017&thinsp;&ndash;&thinsp;2018 senior capstone collaboration and community Free and Open Source Software project.</p>
          <p>Read about our <a href="team">team</a> to contact us or learn more.</p>
        </div>

      </div>

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      <!-- <h2></h2> -->
      <!-- <p></p> -->

{% include footer.html %}