anchor.diff:            <dl class='sources_row'>
               <dt>Cautions</dt>
               <dd>
  -              <p>Forest with > 25% tree canopy cover includes all types of forest, be it plantations, primary forest, secondary forest or any other type of tree cover. Hence, tree cover loss does not equate to deforestation; it may indicate a number of potential activities, such as timber harvesting, fires or disease, or conversion of natural forest to plantations. Tree cover gain may indicate natural regrowth of forests, forest restoration, or the growth of plantation trees.</p>
  +              <p>This data set measures change in all landscapes with tree cover, including plantations, "production forests," and natural forests. Tree cover loss may indicate a number of potential activities, such as timber harvesting, fires or disease, or conversion of natural forest to plantations. Tree cover gain may indicate natural regrowth of forests, forest restoration, or the growth of plantation trees.</p>
   
                 <p>In some cases tree cover loss appears in areas where there was no tree cover in 2000 according to the tree cover extent layer. This is because Landsat did not register tree cover in areas that had very low tree cover density (e.g. <5%) in 2000, but the process used to detect tree cover loss was capable of detecting drops in tree cover at even the lowest densities (e.g. 0-5%).</p>
               </dd>
  
positive.code: 
          <div class='source_summary'>
            <h3 class='overview_title'>Overview</h3>
            <p>This data set measures both area of tree cover loss and gain across the globe at 30 × 30 meter spatial resolution on an annual basis from 2001 to 2012. 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 in Google Earth Engine and the clear land surface observations from these images were then assembled into time series for characterization as either tree cover loss or no change. Tree cover loss was defined as “stand replacement disturbance,” or the complete removal of tree cover canopy at the Landsat pixel scale. Forest gain was defined as the inverse of loss, or the establishment of tree canopy from non-forest state. Both global forest loss and gain were related to tree cover density for climate domains, ecozones, and countries. Previously tested methods of high- (Quickbird) and medium- (Landsat) resolution satellite imagery interpretation for tree cover were used to delineate change and no change for training data and to determine areas of tree cover loss and gain.</p>
  
            <p class='credits'><strong>Citation:</strong> Hansen, M. C., P. V. Potapov, R. Moore, M. Hancher, S. A. Turubanova, A. Tyukavina, D. Thau, S. V. Stehman, S. J. Goetz, T. R. Loveland, A. Kommareddy, A. Egorov, L. Chini, C. O. Justice, and J. R. G. Townshend. 2013. “High-Resolution Global Maps of 21st-Century Forest Cover Change.” Science 342 (15 November): 850–53.</p>
  
            <p class='credits'><strong>Suggested citations for data as displayed on GFW:</strong> Hansen, M. C., P. V. Potapov, R. Moore, M. Hancher, S. A. Turubanova, A. Tyukavina, D. Thau, S. V. Stehman, S. J. Goetz, T. R. Loveland, A. Kommareddy, A. Egorov, L. Chini, C. O. Justice, and J. R. G. Townshend. 2013. “UMD Tree Cover Loss and Gain Area.” University of Maryland and Google. Accessed through Global Forest Watch on [date]. <a href='http://www.globalforestwatch.org' target='_blank'>www.globalforestwatch.org</a>.</p>
  
            <p class='read_more hidden'><em><%= link_to 'Learn more or download data', sources_path %></em>
          </div>
  
negative.code:         <div class='source_table'>
            <dl class='sources_row'>
              <dt>Function</dt>
              <dd>SShows the baseline tree cover extent for the UMD tree cover loss and gain layers</dd>
            </dl>
            <dl class='sources_row even'>
              <dt>Resolution/scale</dt>
              <dd>30 × 30 meters</dd>
            </dl>
            <dl class='sources_row'>
              <dt>Geographical coverage</dt>
  