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  <idinfo>
    <citation>
      <citeinfo>
        <origin>Landscape Fire and Resource Management Planning Tools (LANDFIRE)</origin>
        <origin>Earth Resources Observation and Science Center (EROS)</origin>
        <origin>U.S. Geological Survey (USGS)</origin>
        <origin>Timothy Hatten, USGS PM</origin>
        <pubdate>20230726</pubdate>
        <title>LANDFIRE Existing Vegetation Cover</title>
        <edition>LF 2014</edition>
        <geoform>raster digital data</geoform>
        <onlink>https://doi.org/10.5066/P9YKVN2R</onlink>
        <onlink>http://www.landfire.gov</onlink>
      </citeinfo>
    </citation>
    <descript>
      <abstract>The Existing Vegetation Cover (EVC) product depicts percent canopy cover by life form and is an important input to other LANDFIRE mapping efforts. EVC is generated separately for tree, shrub and herbaceous life forms using training data and a series of geospatial predictor layers. Plots from the Forest Inventory and Analysis (FIA) program of USDA Forest Service (https://www.fia.fs.usda.gov/) were used as the training data for tree canopy cover mapping, with canopy cover of the plots estimated from stem-mapped tree data and calibrated with line intercept field measurements of canopy cover (Toney and others 2009). Shrub and herbaceous canopy cover training data were also derived from plot-level, ground-based visual assessments. More information regarding contributors of field plot data can be found at http://www.landfire.gov/participate_acknowledgements.php. Regression tree models were developed separately for each life form using the training data and a combination of multitemporal Landsat data, terrain data from a digital elevation model, and biophysical gradient data layers. Cubist software was used for modeling. The derived regression tree equations were then applied to the geospatial predictor data to create 30-m resolution, life form specific data layers (i.e., separate data layers are generated for tree, shrub and herbaceous vegetation cover). Each of the derived data layers (tree, shrub, herbaceous) has a potential range of 0-100 percent canopy cover. Tree, shrub and herbaceous values were binned into discrete classes (up to 10 bins at 10 percent intervals for tree, shrub and herbaceous canopy cover).

The final EVC layer was evaluated and rectified through a series of QA/QC measures to ensure that the life form of the canopy cover code matched the life form of the LANDFIRE Existing Vegetation Type (EVT) layer. EVC is used in the development of subsequent LANDFIRE data layers. LF 2014 (lf_1.4.0) used modified LF 2010 (lf_1.2.0) data as a launching point to incorporate disturbance and its severity, both managed and natural, which occurred on the landscape 2013 and 2014. Specific examples of disturbance are: fire, vegetation management, weather, and insect and disease. 

The final disturbance data used in LANDFIRE is the result of several efforts that include data derived in part from remotely sensed land change methods, Monitoring Trends in Burn Severity (MTBS), and the LANDFIRE Events data call. Vegetation growth was modeled where both disturbance and non-disturbance occurs. Urban, agriculture, and wetlands were refined to reflect a 2012 landscape using the National Conservation Easement Database, National Wetlands Inventory (NWI), and Common Land Unit database (CLU) data.</abstract>
      <purpose>The LANDFIRE existing vegetation layers describe the following elements of existing vegetation for each LANDFIRE mapping zone: existing vegetation type, existing vegetation canopy cover, and existing vegetation height. Vegetation is mapped using predictive landscape models based on extensive field reference data, satellite imagery, biophysical gradient layers, and classification and regression trees. 

LANDFIRE data products are designed to facilitate national- and regional-level strategic planning and reporting of management activities. Data products are created at a 30-meter grid spatial resolution raster data set; however, the applicability of data products varies by location and specific use. Principal purposes of the data products include providing, 1) national-level, landscape-scale geospatial products to support fire and fuels management planning, and, 2) consistent fuels data to support fire planning, analysis, and budgeting to evaluate fire management alternatives. Users are advised to evaluate the data carefully for their applications.</purpose>
    </descript>
    <timeperd>
      <timeinfo>
        <sngdate>
          <caldate>2014</caldate>
        </sngdate>
      </timeinfo>
      <current>ground condition</current>
    </timeperd>
    <status>
      <progress>Complete</progress>
      <update>As needed</update>
    </status>
    <spdom>
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        <eastbc>-65.2544</eastbc>
        <northbc>51.6202</northbc>
        <southbc>22.7657</southbc>
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    </spdom>
    <keywords>
      <theme>
        <themekt>ISO 19115 Topic Category</themekt>
        <themekey>imageryBaseMapsEarthCover</themekey>
        <themekey>biota</themekey>
      </theme>
      <theme>
        <themekt>None</themekt>
        <themekey>raster digital data</themekey>
        <themekey>EVC</themekey>
        <themekey>Existing Vegetation Cover</themekey>
        <themekey>U.S. Forest Service (USFS)</themekey>
        <themekey>U.S. Geological Survey (USGS)</themekey>
        <themekey>LANDFIRE 2014</themekey>
        <themekey>LF 2014</themekey>
      </theme>
      <theme>
        <themekt>USGS Thesaurus</themekt>
        <themekey>fires</themekey>
        <themekey>hazard preparedness</themekey>
        <themekey>remote sensing</themekey>
        <themekey>image collection</themekey>
        <themekey>geospatial dataset</themekey>
        <themekey>geographic information systems</themekey>
        <themekey>NGDA</themekey>
        <themekey>National Geospatial Data Asset</themekey>
      </theme>
      <theme>
        <themekt>USGS Metadata Identifier</themekt>
        <themekey>USGS:64beabb7d34e70357a31c4e5</themekey>
      </theme>
      <place>
        <placekt>Common geographic areas</placekt>
        <placekey>US</placekey>
        <placekey>United States</placekey>
        <placekey>CONUS</placekey>
        <placekey>Conterminous United States</placekey>
        <placekey>Continental U.S.</placekey>
      </place>
    </keywords>
    <accconst>None</accconst>
    <useconst>None</useconst>
    <ptcontac>
      <cntinfo>
        <cntorgp>
          <cntorg>LANDFIRE, Earth Resources Observation and Science Center (EROS), U.S. Geological Survey</cntorg>
        </cntorgp>
        <cntpos>Customer Service Representative</cntpos>
        <cntaddr>
          <addrtype>physical</addrtype>
          <address>47914 252nd Street</address>
          <city>Sioux Falls</city>
          <state>SD</state>
          <postal>57198-0001</postal>
          <country>US</country>
        </cntaddr>
        <cntvoice>605-594-6151</cntvoice>
        <cntemail>helpdesk@landfire.gov</cntemail>
      </cntinfo>
    </ptcontac>
    <datacred>These products were created by the LF team at USGS EROS, Sioux Falls, SD. Refer to the contact information throughout this metadata to contact the LF team.</datacred>
    <secinfo>
      <secsys>None in place</secsys>
      <secclass>Unclassified</secclass>
      <sechandl>If there is ever doubt, contact the appropriate resource staff who has stewardship responsibility and the GIS Coordinator.</sechandl>
    </secinfo>
    <native>Microsoft Windows 10; ESRI ArcGIS Suite</native>
    <crossref>
      <citeinfo>
        <origin>Toney, Chris; Shaw, John D.; Nelson, Mark D.</origin>
        <pubdate>20090101</pubdate>
        <title>A stem-map model for predicting tree canopy cover of Forest Inventory and Analysis (FIA) plots</title>
        <geoform>publication</geoform>
        <othercit>RMRS-P-56CD. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 19 p.</othercit>
        <onlink>https://www.fs.usda.gov/research/treesearch/33381</onlink>
      </citeinfo>
    </crossref>
  </idinfo>
  <dataqual>
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      <attraccr>Products were tested to ensure that each attribute is represented consistently across all data sets. Attributes were not validated against in person observations.</attraccr>
      <qattracc>
        <attraccv>0.0</attraccv>
        <attracce>Assessment not applied</attracce>
      </qattracc>
    </attracc>
    <logic>The products were pixel "truth" tested for consistency of land or water characteristics across all products.</logic>
    <complete>Products were formally tested to ensure that valid data was produced for all pixels. Each product was then validated and tested for duplicates, omissions, and errors.</complete>
    <lineage>
      <procstep>
        <procdesc>LF 2014 is a vegetation and fuels mapping effort to update the base product suite. LF 2014 incorporates landscape change and disturbances, such as wildland fire, fuel and vegetation treatments, insects and disease, storm damage, and invasive plants that occurred in 2013 and 2014.

This update includes: responses to vegetation successional change in forested types, and revisions to address discrepancies between map products and known field conditions. 

The LF 2014 update also: supports wildland fire and natural resource management, planning, research, analysis, and assessments
uses Landsat imagery, point, and polygon data 2013-2014, incorporates new or updated institutional data sources, changes data only where vegetation changed due to successional change or disturbance, and updates fuel products based on vegetation products.

The LF 2014 update strategy applies a consistent approach to combine geospatial data depicting areas of disturbance with Remote Sensing of Landscape Change (RSLC) derived data to develop the disturbance layers. Data from combinations of Landsat satellite imagery, fire program data (e.g., Monitoring Trends in Burn Severity (MTBS)), cooperator-provided field data, and other ancillary data (e.g., Protected Area Database (PAD)) are used to locate and characterize large wildfires.</procdesc>
        <procdate>20161031</procdate>
      </procstep>
    </lineage>
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            <edomv>125</edomv>
            <edomvd>Herb Cover greater than or equal to 50 and less than 60%</edomvd>
            <edomvds>LANDFIRE</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>126</edomv>
            <edomvd>Herb Cover greater than or equal to 60 and less than 70%</edomvd>
            <edomvds>LANDFIRE</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>127</edomv>
            <edomvd>Herb Cover greater than or equal to 70 and less than 80%</edomvd>
            <edomvds>LANDFIRE</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>128</edomv>
            <edomvd>Herb Cover greater than or equal to 80 and less than 90%</edomvd>
            <edomvds>LANDFIRE</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>129</edomv>
            <edomvd>Herb Cover greater than or equal to 90 and less than or equal to 100%</edomvd>
            <edomvds>LANDFIRE</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>150</edomv>
            <edomvd>Sparse Vegetation Canopy</edomvd>
            <edomvds>LANDFIRE</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>151</edomv>
            <edomvd>Tree Canopy greater than or equal to  10 and less than 25%</edomvd>
            <edomvds>LANDFIRE</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>152</edomv>
            <edomvd>Tree Canopy greater than or equal to  25 and less than 60%</edomvd>
            <edomvds>LANDFIRE</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>153</edomv>
            <edomvd>Tree Canopy greater than or equal to  60 and less than or equal to 100%</edomvd>
            <edomvds>LANDFIRE</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>161</edomv>
            <edomvd>Shrub Canopy greater than or equal to  10 and less than 25%</edomvd>
            <edomvds>LANDFIRE</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>162</edomv>
            <edomvd>Shrub Canopy greater than or equal to  25 and less than 60%</edomvd>
            <edomvds>LANDFIRE</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>163</edomv>
            <edomvd>Shrub Canopy greater than or equal to  60 and less than or equal to 100%</edomvd>
            <edomvds>LANDFIRE</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>171</edomv>
            <edomvd>Herb Canopy greater than or equal to  10 and less than 60%</edomvd>
            <edomvds>LANDFIRE</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>172</edomv>
            <edomvd>Herb Canopy greater than or equal to  60 and less than or equal to 100%</edomvd>
            <edomvds>LANDFIRE</edomvds>
          </edom>
        </attrdomv>
      </attr>
      <attr>
        <attrlabl>Count</attrlabl>
        <attrdef>Number of pixels</attrdef>
        <attrdefs>LANDFIRE</attrdefs>
        <attrdomv>
          <udom>Number of pixels</udom>
        </attrdomv>
      </attr>
      <attr>
        <attrlabl>CLASSNAMES</attrlabl>
        <attrdef>Existing vegetation cover name</attrdef>
        <attrdefs>LANDFIRE</attrdefs>
        <attrdomv>
          <udom>Name</udom>
        </attrdomv>
      </attr>
      <attr>
        <attrlabl>R</attrlabl>
        <attrdef>Red color value</attrdef>
        <attrdefs>LANDFIRE</attrdefs>
        <attrdomv>
          <rdom>
            <rdommin>0</rdommin>
            <rdommax>1</rdommax>
          </rdom>
        </attrdomv>
      </attr>
      <attr>
        <attrlabl>G</attrlabl>
        <attrdef>Green color value</attrdef>
        <attrdefs>LANDFIRE</attrdefs>
        <attrdomv>
          <rdom>
            <rdommin>0</rdommin>
            <rdommax>1</rdommax>
          </rdom>
        </attrdomv>
      </attr>
      <attr>
        <attrlabl>B</attrlabl>
        <attrdef>Blue color value</attrdef>
        <attrdefs>LANDFIRE</attrdefs>
        <attrdomv>
          <rdom>
            <rdommin>0</rdommin>
            <rdommax>1</rdommax>
          </rdom>
        </attrdomv>
      </attr>
      <attr>
        <attrlabl>Red</attrlabl>
        <attrdef>Red color value/255</attrdef>
        <attrdefs>LANDFIRE</attrdefs>
        <attrdomv>
          <rdom>
            <rdommin>1</rdommin>
            <rdommax>255</rdommax>
          </rdom>
        </attrdomv>
      </attr>
      <attr>
        <attrlabl>Green</attrlabl>
        <attrdef>Green color value/255</attrdef>
        <attrdefs>LANDFIRE</attrdefs>
        <attrdomv>
          <rdom>
            <rdommin>1</rdommin>
            <rdommax>255</rdommax>
          </rdom>
        </attrdomv>
      </attr>
      <attr>
        <attrlabl>Blue</attrlabl>
        <attrdef>Blue color value/255</attrdef>
        <attrdefs>LANDFIRE</attrdefs>
        <attrdomv>
          <rdom>
            <rdommin>1</rdommin>
            <rdommax>255</rdommax>
          </rdom>
        </attrdomv>
      </attr>
    </detailed>
    <overview>
      <eaover>LANDFIRE (LF) 2014 Existing Vegetation Cover (EVC) CONUS. An Attribute Table is included with each product download as a .csv and embedded in the metadata. The Attribute Data Dictionary (ADD) can be found at https://www.landfire.gov/.</eaover>
      <eadetcit>https://www.landfire.gov/evc.php</eadetcit>
    </overview>
  </eainfo>
  <distinfo>
    <distrib>
      <cntinfo>
        <cntorgp>
          <cntorg>U.S. Geological Survey</cntorg>
          <cntper>GS ScienceBase</cntper>
        </cntorgp>
        <cntaddr>
          <addrtype>mailing address</addrtype>
          <address>Denver Federal Center, Building 810, Mail Stop 302</address>
          <city>Denver</city>
          <state>CO</state>
          <postal>80225</postal>
          <country>United States</country>
        </cntaddr>
        <cntvoice>1-888-275-8747</cntvoice>
        <cntemail>sciencebase@usgs.gov</cntemail>
      </cntinfo>
    </distrib>
    <distliab>This product is reproduced from geospatial information prepared by the U.S. Department of the Interior (DOI) USGS EROS. By removing the contents of this package or taking receipt of these files via electronic file transfer methods, you understand that the data stored on this media can be updated at any time. Represented features may not be in an accurate geographic location. USGS EROS makes no expressed or implied warranty, including warranty of merchantability and fitness, with respect to the character, function, or capabilities of the data or their appropriateness for any user's purposes. USGS EROS reserves the right to correct, update, modify, or replace this geospatial information without notification. 

Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.</distliab>
    <stdorder>
      <digform>
        <digtinfo>
          <formname>ARCG</formname>
          <formvern>ArcGIS 9.3</formvern>
          <formspec>LF 2014</formspec>
          <transize>42.886</transize>
        </digtinfo>
        <digtopt>
          <onlinopt>
            <computer>
              <networka>
                <networkr>https://doi.org/10.5066/P9YKVN2R</networkr>
              </networka>
            </computer>
          </onlinopt>
        </digtopt>
      </digform>
      <fees>None</fees>
    </stdorder>
  </distinfo>
  <metainfo>
    <metd>20230928</metd>
    <metc>
      <cntinfo>
        <cntorgp>
          <cntorg>LANDFIRE, Earth Resources Observation and Science Center (EROS), U.S. Geological Survey</cntorg>
        </cntorgp>
        <cntpos>Customer Service Representative</cntpos>
        <cntaddr>
          <addrtype>physical</addrtype>
          <address>47914 252nd Street</address>
          <city>Sioux Falls</city>
          <state>SD</state>
          <postal>57198-0001</postal>
          <country>US</country>
        </cntaddr>
        <cntvoice>605-594-6151</cntvoice>
        <cntemail>helpdesk@landfire.gov</cntemail>
      </cntinfo>
    </metc>
    <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>
    <metstdv>FGDC-STD-001-1998</metstdv>
    <mettc>local time</mettc>
    <metsi>
      <metscs>None</metscs>
      <metsc>Unclassified</metsc>
      <metshd>None</metshd>
    </metsi>
  </metainfo>
</metadata>
