anchor.diff:              <li>From REDD to Green: A Global Incentive System to Stop Tropical Forest Clearing (CGD Working Paper 282, December 2011) [<a href='http://www.cgdev.org/sites/default/files/1425830_file_Wheeler_et_al_REDD_to_Green.pdf' target='_blank'>pdf</a>]</li>
               <li>Forest Clearing in the Pantropics: December 2005-2011 (CGD Working Paper 283, December 2011) [<a href='http://www.cgdev.org/publication/forest-clearing-pantropics-december-2005%E2%80%93august-2011-working-paper-283' target='_blank'>pdf</a>] Data Set for Working Paper 283</li>
               <li>FORMA and fCPR: Accelerating a Performance-Based Payment System for REDD+ (CGD Policy Paper 006, June 2012) [<a href='http://www.cgdev.org/publication/forma-and-fcpr-accelerating-performance-based-payment-system-redd' target='_blank'>pdf</a>]</li>
  -            <li>FORMA: Comparative Analysis in the Brazilian Amazon (forthcoming WRI Working Paper, expected publication date January 2014)</li>
  +            <li>FORMA: Comparative Analysis in the Brazilian Amazon (forthcoming WRI Working Paper, expected publication date February 2014)</li>
             </ul>
   
             <p><strong>GitHub Repositories:</strong></p>
  
positive.code:           <h3 class='overview_title'>Overview</h3>
            <p>This data set shows the global percent tree cover for the year 2000 at 30 × 30 meter spatial resolution and covers all global lands except for Antarctica and a number of Arctic islands. The extent data was 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, and all images were compiled in the Google Earth Engine. The clear surface observations from over 600,000 images employed for the analysis were then assembled into a per pixel forest probability time series to classify tree cover. For the classification threshold of tree cover, trees were defined as all vegetation taller than 5 meters in height.</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.” <i>Science</i> 342 (15 November): 850–53.</p>
  
            <p class='credits'><strong>Suggested citation 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. “Tree Cover Extent.” 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>
  
  
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>
  