anchor.diff:  <article id='earth_engine'>
     <h2 class='source_category_title'>GFW on Google Earth Engine</h2>
     <div class='single-source-item'>
  -    <p>The following data sets on Global Forest Watch were created using <a href="http://earthengine.google.org" target="_blank">Google Earth Engine</a>, Google's geospatial analysis tool: the University of Maryland's annual tree cover loss, tree cover gain, and tree cover extent data, and the Landsat base maps.</p>
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  -    <p>Additionally, the tropical forest carbon stocks layer is being stored and served from <a href="http://mapsengine.google.com/" target="_blank">Google Maps Engine</a> and styled by Earth Engine, the Imazon SAD data are created using Imazon's algorithms on Earth Engine, and analyses of the University of Maryland data, as well as computations of area, are being performed by Earth Engine.</p>
  +    <p>The following data sets on Global Forest Watch were created using <a href="http://earthengine.google.org" target="_blank">Google Earth Engine</a>, Google's geospatial analysis tool: the University of Maryland/Google's annual tree cover loss, tree cover gain, and tree cover extent data, and the Landsat base maps.</p>
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  +    <p>Additionally, the tropical forest carbon stocks layer is being stored and served from <a href="http://mapsengine.google.com/" target="_blank">Google Maps Engine</a> and styled by Earth Engine, the Imazon SAD data are created using Imazon's algorithms on Earth Engine, and analyses of the University of Maryland/Google data, as well as computations of area, are being performed by Earth Engine.</p>
   
       <p><a href="http://earthengine.google.org/signup" target="_blank">Sign up here</a> to access the full suite of Earth Engine tools and data, including data available on Global Forest Watch, 40+ years of Landsat data, many additional satellite data sets, elevation data, atmospheric data, and data you upload yourself. For information about how to analyze Global Forest Watch data, please visit our <a href="https://sites.google.com/site/earthengineapidocs/global-forest-watch-tutorial" target="_blank">tutorial</a>.</p>
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positive.code: 
            <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>
  
            <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>
  
            <p class='read_more hidden'><em><%= link_to 'Learn more or download data', "#{sources_path}#forest_cover" %></em></p>
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negative.code: 
            <p class='credits'><strong>Citation:</strong> Margono, B. Primary forest cover loss in Indonesia over 2000–2012. Nature Climate Change,doi:10.1038/nclimate2277. Retrieved June 30, 2014, from <a href="http://www.nature.com/nclimate/journal/vaop/ncurrent/full/nclimate2277.html">Nature</a></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, 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', "#{sources_path}#forest_cover" %></em></p>
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