anchor.diff:                      <p>Different data sets measure different things and are derived using different methodologies. Such differences can lead to results that may manifest as contradictory layers on the GFW platform. In some cases, a lack of available high-quality data may cause a greater margin of error for certain data sets.</p>
   
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  -                      <li><p><strong>Intact Forest Landscapes vs. tree cover extent:</strong> These data sets measure different things. Tree cover extent shows all 30 x 30 meter areas that meet a minimum threshold of tree cover (25% canopy cover), whereas Intact Forest Landscapes only show forests that show no significant signs of human activity (see the <%= link_to 'Data page', "#{sources_path}#forest_cover" %> for specifics).</p>
  +                      <li><p><strong>Intact Forest Landscapes vs. tree cover extent:</strong> These data sets measure different things. “Tree cover extent” shows all 30 × 30 meter areas that meet a minimum threshold of tree cover (25% canopy cover), whereas “Intact Forest Landscapes” only shows forests that show no significant signs of human activity (see the <%= link_to 'Data page', "#{sources_path}#forest_cover" %> for specifics).</p>
   
                         <p>Users may find instances where tree cover extent does not fall within the boundaries of intact forest landscapes. This is because the Intact Forest Landscapes layer is based on MODIS (250 meter resolution satellite imagery), which is known to overestimate low tree cover densities, whereas the tree cover extent layer is based on Landsat (30 meter resolution satellite imagery). As a result, the tree cover extent layer may not show tree cover in an area that is covered by an intact forest landscape polygon.</p></li>
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                      <p>Each data set has an individual citation, which can be found on the <%= link_to 'Data page', sources_path %>. If you are referencing the source website or publication for a data set, please use the “Citation.”  If you are referencing a figure or number generated by GFW or data downloaded from the GFW website, please use the “Suggested citation for data as displayed on GFW.”  For data that are displayed in their original form or when users are directed to the original source to download data, a suggested citation is not listed.</p>
  
                      <p>To cite the website or initiative overall, please use:</p>
                      <p>Global Forest Watch. 2014. World Resources Institute. Accessed on (date). <a href='http://www.globalforestwatch.org'>www.globalforestwatch.org</a>.</p>
  
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                    <strong class='source_title'>What is tree cover canopy (TCC) density and what layers allow me to adjust it?</strong>
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                      <p>Not all forests have the same footprint. Some forests are dense, like the tropical Amazon, with canopies that blanket almost every inch of ground for miles. Others forests are sparse, such as the savannah woodlands of North Africa where the canopies do not close or interlace. There are many shades in between. As a result, there is no global consensus on how much tree cover is needed to constitute a forest and it is important to be able to adjust the tree cover canopy density according to different user or country definitions of “forest.”</p>
                      
                     <p>The minimum tree cover canopy density can only be adjusted within the UMD/Google tree cover extent and loss data sets. When these layers are activated in the map, you can adjust the minimum percentage of canopy density through the settings icon. This adjustment can also be made in other areas of the website where UMD/Google forest statistics are used, such as within the country profiles and rankings.</p> 
                     
                     <p>What do these percentages mean? Technically speaking, tree cover canopy density represents the estimated percent of a pixel that was covered by tree canopy in the year 2000, as determined from the analysis of satellite imagery. For the tree cover loss data, tree cover canopy density therefore corresponds to the density of tree cover before loss occurred. For example, if you select 25% as the minimum tree cover canopy density, you will only see tree cover loss pixels for which the original tree cover density was greater than 25%.</p>
                     
                     <p>Note: Adjustments to the minimum TCC density only affect UMD tree cover loss and extent data layers. This feature does not pertain to UMD tree cover gain or to other GFW data layers or statistics. UMD tree cover gain is displayed with a set minimum TCC density greater than 50%. The minimum TCC density cannot be changed independently for loss and extent. A change made to one data layer will immediately take effect in the other.</p>
                
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                    <strong class='source_title'>I am familiar with a particular geographic area and believe your data set is inaccurate. What can I do?</strong>
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