anchor.diff:            </dl>
             <dl class='sources_row even'>
               <dt>Date of content</dt>
  -            <dd>January 2001–2012</dd>
  +            <dd>January 2000–2012</dd>
             </dl>
             <dl class='sources_row'>
               <dt>Cautions</dt>
               <dd>
  -              <p>This data set measures change in all landscapes with >25% canopy cover, including plantations, "production forests," primary forest, secondary forest, and any other type of tree cover. 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>
  +              <p>For the purpose of this study, “tree cover” was defined as all vegetation taller than 5m in height. “Tree cover” is the biophysical presence of trees and may take the form of natural forests or plantations existing over a range of canopy densities.  “Loss” indicates the removal or mortality of tree canopy cover and can be due to a variety of factors, including mechanical harvesting, fire, disease, or storm damage.  As such, “loss” does not equate to deforestation.</p>
  +
  +              <p>When zoomed out, it appears that all tree cover loss occurs in 2001, but in reality loss happened gradually over the study period. As you zoom out, adjacent pixels representing loss –which may have occurred in different years – must be combined into a single pixel to remain visible on a larger scale. Authors of the study decided to display these “aggregate pixels” according to the year loss first occurred in any of the constituent pixels (often 2001 for low zoom levels with very large aggregate pixels). Zoom in for greater detail of when and where loss has occurred for individual 30x30 meter pixels.</p>
               </dd>
             </dl>
           </div>
   
           <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. However, gain is only 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 in Google Earth Engine. 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>This data set measures areas of tree cover loss and tree cover gain across all global land areas (except Antarctica and other Arctic islands) at 30 × 30 meter resolution. Loss is presented annually (2000 through 2012), while gain is displayed as a 12-year cumulative layer. Loss and gain are displayed differently due to the underlying dynamics of tree cover loss (rapid) versus tree cover gain (slow).</p>
  +          <p>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 then assembled chronologically and a supervised learning algorithm applied to identify per pixel tree cover loss or gain.</p>
  +          <p>Tree cover loss is defined as “stand replacement disturbance,” or the complete removal of tree cover canopy at the Landsat pixel scale. Tree cover loss may indicate a number of potential activities, such as timber harvesting, fires or disease, the conversion of natural forest to other land uses, or the crop rotations cycle of tree plantations. Tree cover gain was defined as the inverse of loss, or the establishment of tree canopy in an area that previously had no tree cover.</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.” <em>Science</em> 342 (15 November): 850–53.</p>
   
  
positive.code:           </dl>
            <dl class='sources_row'>
              <dt>Geographical coverage</dt>
              <dd>Global forests (forests defined as >25% canopy cover)</dd>
            </dl>
            <dl class='sources_row even'>
              <dt>Source data</dt>
  
negative.code:         <div class='source_table'>
            <dl class='sources_row'>
              <dt>Function</dt>
              <dd>Identifies areas of tree cover loss and gain</dd>
            </dl>
            <dl class='sources_row even'>
              <dt>Resolution/scale</dt>
  