anchor.diff:            </dl>
             <dl class='sources_row even'>
               <dt>Date of content</dt>
  -            <dd>January 2000–2012</dd>
  +            <dd>2001–2012</dd>
             </dl>
             <dl class='sources_row'>
               <dt>Tree cover canopy density</dt>
  
positive.code: 
          <div class='source_summary'>
            <h3 class='overview_title'>Overview</h3>
            <p>This data set measures areas of tree cover gain across all global land (except Antarctica and other Arctic islands) at 30 × 30 meter resolution, displayed as a 12-year cumulative layer. The data were generated using multispectral satellite imagery from the <a href='http://landsat.usgs.gov/science_L7_cpf.php' target='_blank'>Landsat 7 thematic mapper plus (ETM+)</a> sensor. Over 600,000 Landsat 7 images were compiled and analyzed using Google Earth Engine, a cloud platform for earth observation and data analysis. The clear land surface observations (30 × 30 meter pixels) in the satellite images were assembled and a supervised learning algorithm was then applied to identify per pixel tree cover gain..</p>
            
  
  
  
negative.code:       <div class='source_header'>
          <strong class='source_title'>University of Maryland/Google tree cover gain</strong>
          <i class='expand_arrow'></i>
          <em class='source_description'>(12 years, 30m, global)</em>
        </div>
  
        <div class='source_body'>
  