anchor.diff:            </dl>
             <dl class='sources_row even'>
               <dt>Date of content</dt>
  -            <dd>January 2006 - present</dd>
  +            <dd>January 2006-present</dd>
             </dl>
             <dl class='sources_row'>
               <dt>Cautions</dt>
               <dd>
                 <p>Viewing data for the first period available via the time slider may include alerts that reflect detections from the February 2000 to December 2005 training period as the algorithm "catches up" post-training. </p>
                 <p>The GFW team has clipped out some data in regions where data quality is suspected to be low because of persistent cloud cover over identified ecoregions. This covers parts of Liberia, Venezuela, Guyana, Vietnam, Laos, and Burma/Myanmar. The current extent of the FORMA alerts is available for viewing here—<a href='http://wri-01.cartodb.com/viz/3cc0f4c2-56d3-11e3-80bb-c8600054c0d1/embed_map?title=true&description=true&search=false&shareable=false&cartodb_logo=false&layer_selector=false&legends=false&scrollwheel=true&sublayer_options=1&sql=&zoom=3&center_lat=-1.845383988573187&center_lon=16.34765625' target='_blank'>FORMA geographic extent</a>.</p>
  -              <p>The <a href='https://github.com/wri/forma-clj' target='_blank'>algorithm</a> behind the FORMA alerts is constantly evolving to fix bugs and improve accuracy. As a result, what appears on the site and the results of analyses conducted on the site may change over time. It is important to always include the access date when citing FORMA. For questions, please contact <a href='mailto:gfw@wri.org'>gfw@wri.org</a>.</p>
  +              <p>The <a href='https://github.com/wri/forma-clj' target='_blank'>algorithm</a> behind the FORMA alerts is constantly evolving to fix bugs and improve accuracy. As a result, what appears on the site and the results of analyses conducted on the site may change over time. It is important to always include the access date when citing FORMA. Analysis of FORMA alerts on the map should be considered definitive, as analysis is based on raw FORMA data, whereas the data on the map are optimized for visual display. For questions, please join the <a href='https://groups.google.com/forum/#!forum/globalforestwatch' target='_blank'>GFW discussion forum</a> or <a href='mailto:gfw@wri.org'>email us</a>.</p>
  +              
  +              
                 <p>For the purpose of this study, “tree cover” was defined as areas with greater than 25% canopy cover (as determined by the <a href='http://journals.ametsoc.org/doi/abs/10.1175/1087-3562(2003)007%3C0001%3AGPTCAA%3E2.0.CO%3B2' target='_blank'>Vegetation Continuous Fields data set</a>), and change was measured without regard to forest land use. Tree cover assemblages that meet the 25% threshold include intact forests, plantations, and forest regrowth.</p>
                 <p>When zoomed out, this data layer displays some degree of inaccuracy because the data points must be collapsed to be visible on a larger scale. Zoom in for greater detail.</p>
               </dd>
  
positive.code:           </dl>
            <dl class='sources_row even'>
              <dt>Source data</dt>
              <dd><a href='http://modis.gsfc.nasa.gov/about/'>MODIS</a>, validated with <a href='http://landsat.usgs.gov/' target='_blank'>Landsat</a> and <a href='http://www.cbers.inpe.br/ingles/' target='_blank'>CBERS</a></dd>
            </dl>
            <dl class='sources_row'>
              <dt>Frequency of updates</dt>
  
negative.code: 
            <p>The GFW team is working aggressively to address potential inaccuracies in the data through rigorous validation methods. Specifically, the GFW team is comparing the growing data set of historical alerts to other validated data sets, which are being used for similar applications.</p>
  
            <p><a href='www.wri.org/publication/forest-clearing-detection' target='_blank'>This working paper</a> demonstrates the spatial correlation of the alerts with the PRODES and DETER data sets, produced by the Brazilian Space Agency for the Amazon. The conclusions from the working paper help to illustrate the potential pitfalls of the algorithm, along with its strengths. Through future refinement and proposed crowdsourcing efforts, the GFW team expects the data quality of the FORMA Alerts will continue to improve.</p>
  
            <h3 class='overview_title'>Additional resources on FORMA</h3>
            <p><strong>Working Papers:</strong></p>
  