anchor.diff:            <h3 class='overview_title'>Cameroon forest management units</h3>
             <p class='download'><a href='http://wri-public-data.s3.amazonaws.com/Forest_Atlas/Cameroon/GIS_Data/cmr_ufa_2013.zip'>Download</a></p>
   
  -          <p>Logging in Cameroon’s forests is permitted within Forest Management Units (FMUs). This data set displays the FMUs within Cameroon’s permanent forest estate. Selective logging is permitted in Cameroon’s FMUs, which are further divided into logging concessions called annual allowable cuts (AACs).  These logging permits require owners and operators to maintain permanent forest cover. This data set was produced in collaboration between the Cameroon Ministry of Forestry and Wildlife and WRI. For more information and data sets, see the <a href='http://www.wri.org/project/interactive-forest-atlas-cameroon' target='_blank'>Interactive Forest Atlas for Cameroon</a>.</p>
  +          <p>Logging in Cameroon’s forests is permitted within Forest Management Units (FMUs). This data set displays the FMUs within Cameroon’s permanent forest estate. Selective logging is permitted in Cameroon’s FMUs, which are further divided into logging concessions called annual allowable cuts (AACs). These logging permits require owners and operators to maintain permanent forest cover. This data set was produced in collaboration between the Cameroon Ministry of Forestry and Wildlife and WRI. For more information and data sets, see the <a href='http://www.wri.org/project/interactive-forest-atlas-cameroon' target='_blank'>Interactive Forest Atlas for Cameroon</a>.</p>
   
             <p class='credits'><strong>Credit:</strong> Cameroon Ministry of Forestry and Wildlife, World Resources Institute.</p>
   
             <h3 class='overview_title'>Canada forest tenures</h3>
             <p class='download'><a href='http://wri-public-data.s3.amazonaws.com/gfw2/Original/Canada_forest_tenures_2013.zip' target='_blank'>Download</a></p>
   
  -          <p>This data set provides the boundaries of forest areas licensed to companies for forestry and is a compilation of provincial forest tenure datasets across Canada. Tenures for Nova Scotia are not provided, due to changes underway in forest management in that province, and will be added to this data set when available. Much of Canada’s logging activity occurs on Crown (often referred to as “public”) land and is regulated by various provincial commercial forest tenure systems that allocate cutting rights to and confer obligations on recipients of the tenures. It is these tenure systems on Crown forest land that are the focus of this data product. The information in this data set was gathered in order to continue to develop an understanding of how much of Canada’s forest area is under commercial forest tenures, where these tenures (including the operating areas of major forest companies) are located, and who is most likely to control them. This information and these data sets are important because of the extent of tenures and the resulting logging activity over vast areas of Canada’s Crown forest land.</p>
  +          <p>This data set provides the boundaries of forest areas licensed to companies for forestry and is a compilation of provincial forest tenure data sets across Canada. Tenures for Nova Scotia are not provided, due to changes underway in forest management in that province, and will be added to this data set when available. Much of Canada’s logging activity occurs on Crown (often referred to as “public”) land and is regulated by various provincial commercial forest tenure systems that allocate cutting rights to and confer obligations on recipients of the tenures. It is these tenure systems on Crown forest land that are the focus of this data product. The information in this data set was gathered in order to continue to develop an understanding of how much of Canada’s forest area is under commercial forest tenures, where these tenures (including the operating areas of major forest companies) are located, and who is most likely to control them. This information and these data sets are important because of the extent of tenures and the resulting logging activity over vast areas of Canada’s Crown forest land.</p>
   
             <p class='credits'><strong>Credit:</strong> Global Forest Watch Canada, 2013.</p>
   
  
positive.code: 
        <div class='source_body'>
          <div class='source_summary'>
            <p class='first'>This base map depicts the highest points in the forest canopy. Its spatial resolution is 0.6 miles (1 km) and was validated against data from a network of nearly 70 ground sites around the world. It was developed by a team of scientists from NASA’s Jet Propulsion Laboratory, Pasadena, California; the University of Maryland, College Park; and Woods Hole Research Center, Falmouth, Massachusetts.  The map was created using 2.5 million carefully screened, globally distributed laser pulse measurements from space. The light detection and ranging (Lidar) data were collected in 2005 by the Geoscience Laser Altimeter System instrument on NASA’s Ice, Cloud, and land Elevation Satellite (ICESat).</p>
  
            <p class='credits'><strong>Source:</strong> <a href='http://www.nasa.gov/topics/earth/features/forest20120217.html' target='_blank'>www.nasa.gov/topics/earth/features/forest20120217.html</a></p>
          </div>
  
negative.code: <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>
  
      <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>
  
  