anchor.diff:  
             <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>This working paper 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>
  +          <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>
  
positive.code: 
            <p>The CASA team updates the global QUICC products as soon as the newest quarterly MODIS worldwide VI image is produced. After September (Q3) 2012, the data were adjusted to exclude forest areas located >37 degrees north as a result of confusion caused by year-to-year variations in seasonal snow cover.</p>
  
            <p class='credits'><strong>Citation:</strong> NASA-CASA Project. “CASA ‘Quarterly Indicator of Cover Change’ (QUICC).” Accessed on [date].<br /><a href='http://geo.arc.nasa.gov/sge/casa/latest.html' target='_blank'>geo.arc.nasa.gov/sge/casa/latest.html</a>.</p>
  
            <p class='credits'><strong>Suggested citation for data as displayed on GFW:</strong> “QUICC Alerts.” NASA Ames Research Center and California State University. Accessed through Global Forest Watch on [date].<br /><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:           <h3 class='overview_title'>Overview</h3>
            <p>The <a href='http://intactforests.org/' target='_blank'>Intact Forest Landscapes</a> (IFL) data set identifies unbroken expanses of natural ecosystems within the zone of forest extent, areas that show no signs of significant human activity and are large enough that all native biodiversity, including viable populations of wide-ranging species, could be maintained.  To map IFL areas, a set of criteria was developed and designed to be globally applicable and easily replicable to allow for repeated assessments over time as well for verification.  The criteria were separated into two groups to assess the spatial extent of developed areas and the fragmentation of these areas.  These were then mapped and identified from <a href='http://landsat.usgs.gov/' target='_blank'>Landsat</a> satellite imagery for the year 2000. The landscapes identified as unfragmented were at least 50,000 hectares in size with a minimum width of 10 kilometers. This data can be used to assess forest intactness, alteration, and degradation at global and regional scales. </p>
  
            <p class='credits'><strong>Citation:</strong> Potapov, P., A. Yaroshenko, S. Turubanova, M. Dubinin, L. Laestadius, C. Thies, D. Aksenov, A. Egorov, Y. Yesipova, I. Glushkov, M. Karpachevski, A. Kostickova, A. Manisha, E. Tsybikova, and I. Zhuravleva. 2008. “Mapping the World’s Intact Forest Landscapes by Remote Sensing.” <em>Ecology and Society</em> 13, no. 2: Art. 51. <a href='http://www.ecologyandsociety.org/vol13/iss2/art51' target='_blank'>www.ecologyandsociety.org/vol13/iss2/art51</a>.</p>
  
            <p class='read_more hidden'><em>Learn more or download data at the <a href='http://intactforests.org/' target='_blank'>Intact Forest Landscapes website</a></em>
          </div>
  