anchor.diff:              <dd>Landsat Global Land Survey Collection</dd>
             </dl>
             <dl class='sources_row'>
  -            <dt>Frecuency of updates</dt>
  +            <dt>Frequency of updates</dt>
               <dd>None planned</dd>
             </dl>
             <dl class='sources_row'>
  
positive.code:           <dl class='sources_row'>
              <dt>Cautions</dt>
              <dd>
                <p>Not all fires are detected. There are several reasons why MODIS may not have detected a certain fire. The fire may have started and ended between satellite overpasses. The fire may have been too small or too cool to be detected in the (approximately) 1 km<sup>2</sup> pixel. Cloud cover, heavy smoke, or tree canopy may completely obscure a fire.</p>
                <p>It is not recommended to use active fire locations to estimate burned area due to spatial and temporal sampling issues.</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>
  
negative.code: 
          <div class='source_summary'>
            <h3 class='overview_title'>Overview</h3>
            <p>The Intact Forest Landscapes (IFL) data set identifies unbroken expanses of natural ecosystems within the zone of forest extent 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 degradation of these areas. These were then mapped and identified from Landsat satellite imagery for the year 2013. Degraded areas were identified as areas that had changed from 2000-2013 based on comparison with the 2000 IFL data – either through tree cover loss or fragmentation by roads or other infrastructure. 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. More information about the data set and methodology is available on <a href="www.intactforests.org">www.intactforests.org</a></p>
            <p class='credits'><strong>Citation:</strong> Potapov P., Yaroshenko A., Turubanova S., Dubinin M., Laestadius L., Thies C., Aksenov D., Egorov A., Yesipova Y., Glushkov I., Karpachevskiy M., Kostikova A., Manisha A., Tsybikova E., Zhuravleva I. 2008. Mapping the World's Intact Forest Landscapes by Remote Sensing. Ecology and Society, 13 (2) http://www.ecologyandsociety.org/vol13/iss2/art51/ </p>
  
            <p class='credits'><strong>Suggested citations for data as displayed on GFW:</strong> Greenpeace, University of Maryland, World Resources Institute and Transparent World. 2014. Intact Forest Landscapes: update and degradation from 2000-2013. Accessed through Global Forest Watch on [date]. www.globalforestwatch.org</p>
  