anchor.diff:            </dl>
             <dl class='sources_row even'>
               <dt>Date of content</dt>
  -            <dd>2001–2013</dd>
  +            <dd>2001–2014</dd>
             </dl>
             <dl class='sources_row'>
               <dt>Tree cover canopy density</dt>
  -            <dd>Varies according to selection (click the gear icon on the map to change the minimum tree cover canopy density threshold)</dd>
  +            <dd>Varies according to selection (use the legend on the map to change the minimum tree cover canopy density threshold)</dd>
             </dl>
             <dl class='sources_row even'>
               <dt>Cautions</dt>
               <dd>
  -              <p>This data layer was updated in January 2015 to extend the tree cover loss analysis to 2013. The 2013 data update included new Landsat 8 data (launched in February 2013) as well as re-processed 2010-2012 data from Landsat TM and ETM+, which increased the amount of change that could be detected, resulting in some changes in calculated tree cover loss for 2011 (global increase of 6%) and 2012 (increase of 22%). Calculated tree cover loss for 2001-2010 remains unchanged. The integrated use of the original 2001-2012 (Version 1.0) data and the updated 2011–2013 data (Version 1.1) should be performed with caution.</p>
  +              <p>This data layer was updated in January 2015 to extend the tree cover loss analysis to 2013, and in August 2015 to extend the tree cover loss analysis to 2014. The updates include new data for the target year and re-processed data for the previous two years (2011 and 2012 for the 2013 update, 2012 and 2013 for the 2014 update). The re-processing increased the amount of change that could be detected, resulting in some changes in calculated tree cover loss for 2011-2013 compared to the previous versions. Calculated tree cover loss for 2001-2010 remains unchanged. The integrated use of the original 2001-2012 (Version 1.0) data and the updated 2011–2014 (Version 1.1) data should be performed with caution.</p>
   
                 <p>For the purpose of this study, “tree cover” was defined as all vegetation taller than 5 meters 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 (< zoom level 13), pixels of loss are shaded according to the density of loss at the 30 x 30 meter scale. Pixels with darker shading represent areas with a higher concentration of tree cover loss, whereas pixels with lighter shading indicate a lower concentration of tree cover loss. There is no variation in pixel shading when the data is at full resolution (≥ zoom level 13).</p>
  -
  -              <p>A validation assessment of the 2000 – 2012 UMD change data was carried out independently from the mapping exercise at the global and biome (tropical, subtropical, temperate, and boreal) scale. A stratified random sample (for no change, loss, and gain) of 1500 blocks, each 120 × 120 meters, was used as validation data.  The amount of tree cover loss within each block was estimated using Landsat, MODIS, and Google Earth high-resolution imagery and compared to the map. Overall accuracies for loss were over 99% globally and for all biomes. However, since the overall accuracy calculations are positively skewed due to the high percentage of no change pixels, it is also important to assess the accuracy of the change predictions. The user’s accuracy (i.e. the percentage of pixels labelled as tree cover loss that actually lost tree cover) was 87.0% at the global level. At the biome level, user’s accuracies were 87.0%, 79.3%, 88.2%, and 88.0% for the tropical, subtropical, temperate, and boreal biomes, respectively. A separate test was conducted to determine the temporal accuracy of the tree cover loss data. Within the 1500 blocks, the year of the largest drop in annual MODIS NDVI was compared to the year of tree cover loss from the map. The year of disturbance matched for 75.2% of tree cover loss events, and was within one year for 96.7% of tree cover loss events.</p>
               </dd>
             </dl>
           </div>
   
           <div class='source_summary'>
             <h3 class='overview_title'>Overview</h3>
  -          <p>This data set measures areas of tree cover loss across all global land (except Antarctica and other Arctic islands) at approximately 30 × 30 meter resolution. 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>, and <a href='http://landsat.usgs.gov/science_L7_cpf.php' target='_blank'>Landsat 7 thematic mapper plus (ETM+)</a>, and <a href='http://landsat.usgs.gov/landsat8.php' target='_blank'>Landsat 8</a> Operational Land Imager (OLI) sensors. Over 1 million satellite images were processed and analyzed, including over 600,000 Landsat 7 images for the 2000-2012 interval, and approximately 400,000 Landsat 5, 7 and 8 images for the 2010-2013 interval. The clear land surface observations in the satellite images were assembled and a supervised learning algorithm was applied to identify per pixel tree cover loss.</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 be the result of human activities, including forestry practices such as timber harvesting or deforestation (the conversion of natural forest to other land uses), as well as natural causes such as disease or storm damage.  Fire is another widespread cause of tree cover loss, and can be either natural or human-induced.</p>
  +          <p>This data set measures areas of tree cover loss across all global land (except Antarctica and other Arctic islands) at approximately 30 × 30 meter resolution. The data were generated using multispectral satellite imagery from the <a href="http://landsat.usgs.gov/about_landsat5.php" target="_blank">Landsat 5</a> thematic mapper (TM), the <a href="http://landsat.usgs.gov/science_L7_cpf.php" target="_blank">Landsat 7</a> thematic mapper plus (ETM+), and the <a href="" target="_blank">Landsat 8</a> Operational Land Imager (OLI) sensors. Over 1 million satellite images were processed and analyzed, including over 600,000 Landsat 7 images for the 2000-2012 interval, and approximately 400,000 Landsat 5, 7, and 8 images for updates for the 2011-2014 interval. The clear land surface observations in the satellite images were assembled and a supervised learning algorithm was applied to identify per pixel tree cover loss.</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 be the result of human activities, including forestry practices such as timber harvesting or deforestation (the conversion of natural forest to other land uses), as well as natural causes such as disease or storm damage. Fire is another widespread cause of tree cover loss, and can be either natural or human-induced.</p>
             <p><strong>2015 Update (Version 1.1)</strong></p>
  -          <p>This data set was recently updated and now includes a 2013 loss layer and revised layers for 2011 and 2012. The analysis method has been modified in numerous ways, and the update should be seen as part of a transition to a future “version 2.0” of this data set that is more consistent over the entire 2001 and onward period. Key changes include:</p>
  +          <p>This data set has been updated twice since its creation, and now includes loss up to 2014. The analysis method has been modified in numerous ways, and the update should be seen as part of a transition to a future “version 2.0” of this data set that is more consistent over the entire 2001 and onward period. Key changes include:</p>
             <ul class="bullets">
  -            <li>The use of Landsat 8 data for 2013 and Landsat 5 data for 2010-2011</li>
  -            <li>The reprocessing of data from 2011 to 2012 in measuring loss</li>
  +            <li>The use of Landsat 8 data for 2013-2014 and Landsat 5 data for 2011-2012</li>
  +            <li>The reprocessing of data from the previous two years in measuring loss (2011 and 2012 for the 2013 update, 2012 and 2013 for the 2014 update)</li>
               <li>Improved training data for calibrating the loss model</li>
               <li>Improved per sensor quality assessment models to filter input data</li>
               <li>Improved input spectral features for building and applying the loss model</li>
             </ul>
  -          <p>These changes lead to a different and improved detection of global tree cover loss. However, the years preceding 2011 have not yet been reprocessed with the revised analysis methods, and users will notice inconsistencies between versions 1.0 (2001-2012) and 1.1 (2001-2013) as a result. It must also be noted that a full validation of the results incorporating Landsat 8 has not been undertaken. Such an analysis may reveal a more sensitive ability to detect and map forest disturbance using Landsat 8 data. If this is the case then there will be a more fundamental limitation to the consistency of this data set before and after the inclusion of Landsat 8 data. Validation of Landsat 8-incorporated loss detection is planned.</p>
  -          <p>Some examples of improved change detection in the 2011–2013 update include the following:</p>
  +          <p>These changes lead to a different and improved detection of global tree cover loss. However, the years preceding 2011 have not yet been reprocessed with the revised analysis methods, and users will notice inconsistencies between versions 1.0 (2001-2012) and 1.1 (2011-2014) as a result. It must also be noted that a full validation of the results incorporating Landsat 8 has not been undertaken. Such an analysis may reveal a more sensitive ability to detect and map forest disturbance using Landsat 8 data. If this is the case then there will be a more fundamental limitation to the consistency of this data set before and after the inclusion of Landsat 8 data. Validation of Landsat 8-incorporated loss detection is planned.</p>
  +          <p>Some examples of improved change detection in the 2011–2014 update include the following:</p>
             <ul class="bullets">
               <li>Improved detection of boreal forest loss due to fire</li>
               <li>Improved detection of smallholder rotation agricultural clearing in dry and humid tropical forests</li>
               <li>Improved detection of selective logging</li>
             </ul>
  -          <p>These are examples of dynamics that may be differentially mapped over the 2001-2013 period in Version 1.1. A version 2.0 reprocessing of the 2001 and onward record is planned, but no delivery date is yet confirmed.</p>
  +          <p>These are examples of dynamics that may be differentially mapped over the 2011-2014 period in Version 1.1. A version 2.0 reprocessing of the 2001 and onward record is planned, but no delivery date is yet confirmed.</p>
             <p>The original version 1.0 data remains available for download <a href='http://earthenginepartners.appspot.com/science-2013-global-forest/download_v1.0.html' target='_blank'>here</a>.</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. Data available online from: <a href='http://earthenginepartners.appspot.com/science-2013-global-forest' target='_blank'>http://earthenginepartners.appspot.com/science-2013-global-forest</a>.</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. “Hansen/UMD/Google/USGS/NASA Tree Cover Loss and Gain Area.” University of Maryland, Google, USGS, and NASA. Accessed through Global Forest Watch on [date]. <a href='http://www.globalforestwatch.org' target='_blank'>www.globalforestwatch.org</a>.</p>
  -
  +          <p class='credits'>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. “Hansen/UMD/Google/USGS/NASA Tree Cover Loss and Gain Area.” University of Maryland, Google, USGS, and NASA. 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', "http://data.globalforestwatch.org/datasets/93ecbfa0542c42fdaa8454fa42a6cc27", :class => 'download-mobile-link' %></em></p>
           </div>
         </div>
  
positive.code:           </dl>
            <dl class='sources_row even'>
              <dt>Source data</dt>
              <dd>Landsat 5 TM, <a href='http://landsat.usgs.gov/' target='_blank'>Landsat 7 ETM+, and Landsat 8 OLI</a></dd>
            </dl>
            <dl class='sources_row'>
              <dt>Frequency of updates</dt>
  
negative.code:         </div>
        </div>
      </li>
      <li id='loss' class='source-item first'>
        <div class='source_header'>
          <strong class='source_title'>University of Maryland/Google tree cover loss</strong>
          <i class='expand_arrow'></i>
          <em class='source_description'>(annual, 27.8m, global)</em>
        </div>
  
        <div class='source_body'>
  