<?xml version="1.0" encoding="utf-8"?>
<metadata>
  <idinfo>
    <citation>
      <citeinfo>
        <origin>U.S. Geological Survey</origin>
        <pubdate>20180206</pubdate>
        <title>US Topo 7.5-minute map for Colfax, IL</title>
        <geoform>map, raster digital data</geoform>
        <pubinfo>
          <pubplace>Rolla, MO and Denver, CO</pubplace>
          <publish>USGS - National Geospatial Technical Operations Center (NGTOC)</publish>
        </pubinfo>
      </citeinfo>
    </citation>
    <descript>
      <abstract>US Topo map converted from GeoPDF/Geospatial PDF to GeoTIFF. Geospatial data included in each map varies, but may include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. US Topo GeoPDF maps were designed specifically for the capability to turn individual layers on and off. GeoTIFFs do not provide for that capability and thus, certain layers will not be available on the GeoTIFFs that are available in the PDFs. The selection of layers to show on the GeoTIFFs was based solely on cartographic design, and so it is recommended that the PDF be downloaded if there is interest in the full set of layers. For each PDF published since October 2013, two GeoTIFFs are available. PDF maps published prior to that date are not available in GeoTIFF. Both GeoTIFFs exclude shaded relief, woodland, and several Federal Administrative Land boundary layers (National Cemetery, Department of Defense, Bureau of Land Management, Fish and Wildlife and Native Lands) specifically for reasons of clarity based upon the cartographic design. One of the GeoTIFFs has the orthoimage layer turned off, and the other has the orthoimage turned on. In the latter case, contours and wetlands layers also are turned off, again for cartographic clarity. Data layers not included in the GeoTIFFs can be added to the map depiction in a GIS by downloading the associated file from The National Map (TNM), or by linking to a map service. For example, the woodland polygon data layer is available for download. This data was derived and generalized from the National Land Cover Dataset (NLCD) which is also available as a map service from TNM provide a woodland representation.</abstract>
      <purpose>This map depicts geographic features on the surface of the earth. It is a general purpose map for users who are not GIS experts. One
        intended purpose is to support emergency response at all levels of government.</purpose>
      <supplinf>GNIS Cell ID = 9563</supplinf>
    </descript>
    <timeperd>
      <timeinfo>
        <rngdates>
          <begdate>19800115</begdate>
          <enddate>20170816</enddate>
        </rngdates>
      </timeinfo>
      <current>publication date</current>
    </timeperd>
    <status>
      <progress>Complete</progress>
      <update>Irregular</update>
    </status>
    <spdom>
      <bounding>
        <westbc>-88.5</westbc>
        <eastbc>-88.625</eastbc>
        <northbc>40.625</northbc>
        <southbc>40.5</southbc>
      </bounding>
    </spdom>
    <keywords>
      <theme>
        <themekt>ISO 19115 Topic Category</themekt>
        <themekey>imageryBaseMapsEarthCover</themekey>
        <themekey>EarthCover</themekey>
        <themekey>Imagery and Base Maps</themekey>
      </theme>
      <theme>
        <themekt>None</themekt>
        <themekey>topographic</themekey>
        <themekey>transportation</themekey>
        <themekey>structures</themekey>
        <themekey>geographic names</themekey>
        <themekey>hydrography</themekey>
        <themekey>boundary</themekey>
        <themekey>Public Land Survey System</themekey>
        <themekey>woodland</themekey>
        <themekey>orthoimage</themekey>
        <themekey>contour</themekey>
        <themekey>U.S. National Grid</themekey>
      </theme>
      <theme>
        <themekt>The National Map Product Format Thesaurus</themekt>
        <themekey>Geospatial PDF</themekey>
      </theme>
      <place>
        <placekt>Geographic Names Information System</placekt>
        <placekey>US</placekey>
        <placekey>Illinois</placekey>
        <placekey>McLean County</placekey>
        <placekey>Livingston County</placekey>
      </place>
      <place>
        <placekt>None</placekt>
        <placekey>Colfax, IL</placekey>
      </place>
    </keywords>
    <accconst>None</accconst>
    <useconst>This product may be freely copied, redistributed, and printed. Most content is derived from public domain data with no reuse
      constraints. The primary exceptions are the orthoimage layers for maps in Alaska and Hawaii, which are copyrighted and have some reuse
      restrictions; see the relevant data source sections (srcinfo tag) in this file. US Topo maps with dates 2010-2015 may contain commercial road
      data that is also copyrighted with use restrictions; see the credit note and metadata file for individual products. Even maps that contain
      copyrighted data may be freely used and redistributed, provided the appropriate copyright notices are retained; normal fair-use principles
      apply. Users should be aware that temporal changes may have occurred since these data were collected and some data may no longer represent
      actual surface conditions. Users should not use these data for critical applications without a full awareness of their limitations.
      Acknowledgment of the U.S. Geological Survey is appreciated for products derived from these data.</useconst>
  </idinfo>
  <dataqual>
    <attracc>
      <attraccr>Cartographic content is derived from USGS national geospatial databases. Most the data are owned and hosted by the USGS, but this does
        not preclude using data sources owned or hosted by other organizations, provided that these sources have been approved by the USGS data
        program.</attraccr>
    </attracc>
    <logic>Two GeoTIFF maps converted from each US Topo layered PDF map published since October 2013.</logic>
    <complete>Feature content is extracted from the USGS national geospatial databases. These data are intended to be cartographically complete at the scales that the map is produced, 1:24,000 scale in the conterminous 48 states and Hawaii, 1:25,000 scale in Alaska, and 1:20,000 scale in Puerto Rico and the Virgin Islands.</complete>
    <posacc>
      <horizpa>
        <horizpar>US Topo map products in GeoPDF are compiled to meet National Map Accuracy Standards (NMAS). NMAS horizontal accuracy requires that at least 90 percent of well-defined points tested are within 0.02 inch of the true position. In this product, the projection line, grids, and orthoimage are believed to meet NMAS. Positional accuracy of the other data layers is less controllable because of diversity of data sources, and may not meet NMAS. The digital GeoTIFF version of the map was created with a methodology that preserves, but does not exceed, the accuracy of the original GeoPDF/Geospatial PDF map.</horizpar>
      </horizpa>
      <vertacc>
        <vertaccr>Vertical accuracy report: US Topo contours are derived from the USGS 3D Elevation Program (3DEP) 1/3 arc-second DEM data. Accuracy
          of 3DEP is inherited from various sources. These data sources vary in vertical accuracy depending on time of collection, collection method,
          control accuracy and density, and local terrain relief. The overall absolute vertical accuracy of the 1/3 arcsecond DEM data, as tested
          against GPS control, is about 3 meters at 95% confidence level (National Standards for Spatial Data Accuracy). US Topo contours are derived
          from the DEMs to generally meet National Map Accuracy Standards (90% of well-defined points in reasonably level terrain test within one-half
          contour interval of the true ground elevation); however, actual vertical accuracies of individual US Topo quadrangles may not meet that
          standard. Quadrangles containing collar notes stating contours "May not meet National Map Accuracy Standards" are in areas where the source
          is known to be questionable for meeting NMAS for the stated contour interval.</vertaccr>
      </vertacc>
    </posacc>
    <lineage>
      <srcinfo>
        <srccite>
          <citeinfo>
            <origin>For the conterminous 48 states - National Agriculture Image Program (NAIP) administered by the Aerial Photography Field Office
              (APFO) for the United States Department of Agriculture.</origin>
            <pubdate>20180206</pubdate>
            <title>Orthoimagery - CONUS</title>
            <geoform>Raster digital data or Digital Orthorectified Image or NAIP Digital Ortho Photo Image or Raster digital data or Digital
              Orthorectified Image</geoform>
            <othercit>An orthorectified image is a layer in every product and is provided by the USDA-FSA-APFO from the National Agriculture Image
              Program (NAIP) in the conterminous US. This offers the USGS a consistent image product for the conterminous 48 states, normally with a
              one meter resolution in natural color, though resolution varies by collection date, and higher-res source data may be downsampled to 1
              or 1.5 meter resolution for US Topo maps. The NAIP image in this product is public domain with no reuse constraints.</othercit>
            <onlink>https://www.fsa.usda.gov/programs-and-services/aerial-photography/imagery-programs/naip-imagery/</onlink>
          </citeinfo>
        </srccite>
        <srcscale>24000</srcscale>
        <typesrc>digital data</typesrc>
        <srctime>
          <timeinfo>
            <rngdates>
              <begdate>20150731</begdate>
              <enddate>20151021</enddate>
            </rngdates>
          </timeinfo>
          <srccurr>publication date</srccurr>
        </srctime>
        <srccitea>Imagery</srccitea>
        <srccontr>Image</srccontr>
      </srcinfo>
      <srcinfo>
        <srccite>
          <citeinfo>
            <origin>U.S. Census Bureau</origin>
            <pubdate>20180206</pubdate>
            <title>Transportation, roads</title>
            <geoform>Vector digital data</geoform>
            <othercit>US Census Bureau's MAF/TIGER dataset is the primary source of roads in the USGS National Transportation Dataset (NTD). USGS
              converts TIGER roads to USGS NTD schema, performs minimal QC/edit, and loads the data into the NTD for use in The National Map viewer
              and US Topo maps. USFS roads replace TIGER roads on US Topo maps over US Forest Service National Forests and National Grasslands. Due to
              different vintages of the data and different road requirements of the agencies, misjoins along USFS boundaries are possible. In 2016,
              USGS started integrating National Parks Service into the NTD. As other federal agencies road data becomes available, their data may be
              incorporated into US Topo maps as well. US Topo maps created in the period of 2010-2015 contain commercially licensed road data with
              copyright restrictions; see individual product credit notes and metadata files for information.</othercit>
            <onlink>https://www.census.gov/geo/maps-data/data/tiger.html</onlink>
          </citeinfo>
        </srccite>
        <srcscale>24000</srcscale>
        <typesrc>digital data</typesrc>
        <srctime>
          <timeinfo>
            <rngdates>
              <begdate>2013</begdate>
              <enddate>2013</enddate>
            </rngdates>
          </timeinfo>
          <srccurr>publication date</srccurr>
        </srctime>
        <srccitea>Roads - Census Bureau</srccitea>
        <srccontr>Road centerlines, route numbers, road classification, street names</srccontr>
      </srcinfo>
      <srcinfo>
        <srccite>
          <citeinfo>
            <origin>Alaska Department of Transportation</origin>
            <pubdate>20180206</pubdate>
            <title>Transportation - Roads</title>
            <geoform>vector digital data</geoform>
            <othercit>Roads gathered from various state and local sources, integrated by the Alaska Department of Transportation (ADOT) and provided
              to USGS for use in USGS map products. This specific road dataset is unpublished, but earlier versions are published on the ADOT web
              site.</othercit>
            <onlink>http://www.dot.state.ak.us/stwdplng/mapping/</onlink>
          </citeinfo>
        </srccite>
        <typesrc>digital data</typesrc>
        <srctime>
          <timeinfo>
            <rngdates>
              <begdate>2015</begdate>
              <enddate>2016</enddate>
            </rngdates>
          </timeinfo>
          <srccurr>publication date</srccurr>
        </srctime>
        <srccitea>Roads - Alaska Department of Transportation</srccitea>
        <srccontr>Road centerlines, route numbers, road classification, street names</srccontr>
      </srcinfo>
      <srcinfo>
        <srccite>
          <citeinfo>
            <origin>USFS</origin>
            <pubdate>20180206</pubdate>
            <title>Transportation, National Park Service roads</title>
            <geoform>Vector digital data</geoform>
            <othercit>In 2016, The National Parks Service (NPS) began contributing roads to the USGS National Transportation Database (NTD) for use in
              The National Map and US Topo maps. The Intermountain Region and Alaska Region were the first covered areas. USGS converts NPS roads into
              NTD schema, performs minimal QC/edit, joins the edges between NPS and Census MAF/TIGER at the NPS boundary (AK DOT in Alaska), and loads
              the data into the NTD for use in The National Map viewer and US Topo maps. Due to different vintages of the data and different road
              requirements of the agencies, misjoins along NPS boundaries are possible.</othercit>
          </citeinfo>
        </srccite>
        <srcscale>24000</srcscale>
        <typesrc>digital data</typesrc>
        <srctime>
          <timeinfo>
            <rngdates>
              <begdate>2014</begdate>
              <enddate>2017</enddate>
            </rngdates>
          </timeinfo>
          <srccurr>publication date</srccurr>
        </srctime>
        <srccitea>Roads - National Park Service</srccitea>
        <srccontr>Road centerlines, route numbers, road classification, street names</srccontr>
      </srcinfo>
      <srcinfo>
        <srccite>
          <citeinfo>
            <origin>Various government agencies</origin>
            <pubdate>20180206</pubdate>
            <title>Recreational Points of Interest</title>
            <geoform>Vector digital data</geoform>
            <othercit>Federal government land management agencies, including U.S. Forest Service, National Park Service, Fish and Wildlife Service,
              and Bureau of Land Management, have begun providing recreational points to USGS for inclusion on USGS topographic maps. These points
              include visitor centers, trailheads, campgrounds, picnic areas, ranger stations, and backcountry shelters. Coverage is not complete, and
              may not be consistent between agencies and land units. The number of these features, and consistency of coverage, will increase in the
              coming years. Most of these data are not yet published by the source agency.</othercit>
            <onlink>https://data.fs.usda.gov/geodata/</onlink>
          </citeinfo>
        </srccite>
        <srcscale>24000</srcscale>
        <typesrc>digital data</typesrc>
        <srctime>
          <timeinfo>
            <rngdates>
              <begdate>2012</begdate>
              <enddate>2017</enddate>
            </rngdates>
          </timeinfo>
          <srccurr>publication date</srccurr>
        </srctime>
        <srccitea>Recreational Points of Interest</srccitea>
        <srccontr>Center points</srccontr>
      </srcinfo>
      <srcinfo>
        <srccite>
          <citeinfo>
            <origin>Federal Railroad Administration</origin>
            <pubdate>20180206</pubdate>
            <title>Transportation, Railroads</title>
            <geoform>Vector digital data</geoform>
            <othercit>Railroads are derived from data provided by the Federal Railroad Administration (FRA), U.S. Department of Transportation. This
              dataset was developed by Oak Ridge National Laboratory (ORNL) Geographic Information Science and Technology Group (GIST), but
              responsibility for maintenance was transferred to FRA in 2016, and is provided to USGS through an inter-agency agreement. The rail lines
              layer represents the freight lines of the nation's railroad system. The data set covers all 50 states and the District of Columbia, as
              well as territories and possessions of the United States. No rail lines exist in American Samoa, Guam, Northern Mariana Islands, and the
              Virgin Islands of the US.</othercit>
          </citeinfo>
        </srccite>
        <srcscale>24000</srcscale>
        <typesrc>digital data</typesrc>
        <srctime>
          <timeinfo>
            <rngdates>
              <begdate>20170516</begdate>
              <enddate>20170516</enddate>
            </rngdates>
          </timeinfo>
          <srccurr>publication date</srccurr>
        </srctime>
        <srccitea>Railroads - Oak Ridge National Laboratory</srccitea>
        <srccontr>Main track centerlines</srccontr>
      </srcinfo>
      <srcinfo>
        <srccite>
          <citeinfo>
            <origin>State and Federal Partners</origin>
            <pubdate>20180206</pubdate>
            <title>Fire Stations</title>
            <geoform>Vector digital data</geoform>
            <othercit>For purposes of USGS mapping, fire stations are defined as a location where fire fighters are stationed or based, or where
              equipment that such personnel use in carrying out their jobs is stored for ready use. Fire fighting training academies or locations are
              included. This dataset includes those locations primarily engaged in forest or grasslands fire fighting. This dataset includes both
              private and governmental entities. Locations that serve only administrative function are excluded. Locations serving both administrative
              and operational functions are included. This dataset was originally populated from a variety of sources, and is currently maintained in
              part with crowdsourcing methods by the USGS National Map Corps project.</othercit>
            <onlink>http://nationalmap.gov</onlink>
            <onlink>https://nationalmap.gov/TheNationalMapCorps/</onlink>
          </citeinfo>
        </srccite>
        <srcscale>24000</srcscale>
        <typesrc>digital data</typesrc>
        <srctime>
          <timeinfo>
            <rngdates>
              <begdate>20160727</begdate>
              <enddate>20170816</enddate>
            </rngdates>
          </timeinfo>
          <srccurr>ground condition</srccurr>
        </srctime>
        <srccitea>Structures - Fire Stations</srccitea>
        <srccontr>Geographic features and feature names</srccontr>
      </srcinfo>
      <srcinfo>
        <srccite>
          <citeinfo>
            <origin>State and Federal Partners</origin>
            <pubdate>20180206</pubdate>
            <title>Schools</title>
            <geoform>Vector digital data</geoform>
            <othercit>The schools within this dataset are composed of Public elementary and secondary education in the US as defined and tracked by
              the National Center for Education Statistics (NCES), Common Core Dataset (CCD). Private schools in this dataset are composed of Private
              elementary and secondary education in the US as defined by the Private School Survey, NCES. The colleges and Universities are composed
              of postsecondary education facilities as defined by the Integrated Post Secondary Education System (IPEDS), NCES. Included are Doctoral
              and Research Universities, Masters Colleges and Universities, Baccalaureate Colleges, Associates Colleges, Theological seminaries,
              Medical schools and other health care professions, schools of engineering and technology, business and management, art, music, design,
              Law schools, Teachers colleges, Tribal colleges and other specialized institutions. This dataset is currently maintained in part with
              crowdsourcing methods by the USGS National Map Corps project.</othercit>
            <onlink>http://nationalmap.gov</onlink>
            <onlink>https://nationalmap.gov/TheNationalMapCorps/</onlink>
          </citeinfo>
        </srccite>
        <srcscale>24000</srcscale>
        <typesrc>digital data</typesrc>
        <srctime>
          <timeinfo>
            <rngdates>
              <begdate>20080101</begdate>
              <enddate>20081231</enddate>
            </rngdates>
          </timeinfo>
          <srccurr>ground condition</srccurr>
        </srctime>
        <srccitea>Structures - Schools</srccitea>
        <srccontr>Geographic features and feature names</srccontr>
      </srcinfo>
      <srcinfo>
        <srccite>
          <citeinfo>
            <origin>U.S. Geological Survey</origin>
            <pubdate>20180206</pubdate>
            <title>Cemeteries</title>
            <geoform>Vector digital data</geoform>
            <othercit>The Geographic Names Information System (GNIS) is the Federal and national standard for geographic nomenclature. The U.S.
              Geological Survey developed the GNIS in support of the U.S. Board on Geographic Names as the official repository of domestic geographic
              names data, the official vehicle for geographic names use by all departments of the Federal Government, and the source for applying
              geographic names to Federal electronic and printed products. Cemeteries are one feature from the GNIS data base. Cemetery data are
              currently maintained in part with crowdsourcing methods by the USGS National Map Corps project</othercit>
            <onlink>https://nationalmap.gov/TheNationalMapCorps/</onlink>
            <onlink>http://geonames.usgs.gov/</onlink>
          </citeinfo>
        </srccite>
        <srcscale>24000</srcscale>
        <typesrc>digital data</typesrc>
        <srctime>
          <timeinfo>
            <rngdates>
              <begdate>19800115</begdate>
              <enddate>20160926</enddate>
            </rngdates>
          </timeinfo>
          <srccurr>publication date</srccurr>
        </srctime>
        <srccitea>Structures - Cemeteries</srccitea>
        <srccontr>Geographic features and feature names</srccontr>
      </srcinfo>
      <srcinfo>
        <srccite>
          <citeinfo>
            <origin>U.S. Geological Survey</origin>
            <pubdate>20180206</pubdate>
            <title>Post Offices</title>
            <geoform>Vector digital data</geoform>
            <othercit>The Geographic Names Information System (GNIS) is the Federal and national standard for geographic nomenclature. The U.S.
              Geological Survey developed the GNIS in support of the U.S. Board on Geographic Names as the official repository of domestic geographic
              names data, the official vehicle for geographic names use by all departments of the Federal Government, and the source for applying
              geographic names to Federal electronic and printed products. Post Offices are one feature from the GNIS data base. Post office data are
              currently maintained in part with crowdsourcing methods by the USGS National Map Corps project, especially for establishing correct
              geographic positions.</othercit>
            <onlink>https://nationalmap.gov/TheNationalMapCorps/</onlink>
            <onlink>http://geonames.usgs.gov/</onlink>
          </citeinfo>
        </srccite>
        <srcscale>24000</srcscale>
        <typesrc>digital data</typesrc>
        <srctime>
          <timeinfo>
            <rngdates>
              <begdate>19970515</begdate>
              <enddate>19990326</enddate>
            </rngdates>
          </timeinfo>
          <srccurr>publication date</srccurr>
        </srctime>
        <srccitea>Structures - Post Offices</srccitea>
        <srccontr>Geographic features and feature names</srccontr>
      </srcinfo>
      <srcinfo>
        <srccite>
          <citeinfo>
            <origin>State and Federal Partners</origin>
            <pubdate>20180206</pubdate>
            <title>Law Enforcement</title>
            <geoform>Vector digital data</geoform>
            <othercit>Includes locations where sworn officers of a law enforcement agency are regularly based or stationed, primarily local police
              station locations. State and federal law enforcement agencies are generally excluded from this dataset. These data are currently
              maintained in part with crowdsourcing methods by the USGS National Map Corps project, especially for establishing correct geographic
              positions.</othercit>
            <onlink>https://nationalmap.gov/TheNationalMapCorps/</onlink>
            <onlink>http://nationalmap.gov</onlink>
          </citeinfo>
        </srccite>
        <srcscale>24000</srcscale>
        <typesrc>digital data</typesrc>
        <srctime>
          <timeinfo>
            <rngdates>
              <begdate>20160727</begdate>
              <enddate>20160727</enddate>
            </rngdates>
          </timeinfo>
          <srccurr>ground condition</srccurr>
        </srctime>
        <srccitea>Structures - Law Enforcement</srccitea>
        <srccontr>Geographic features and feature names</srccontr>
      </srcinfo>
      <srcinfo>
        <srccite>
          <citeinfo>
            <origin>U.S. Geological Survey</origin>
            <pubdate>20180206</pubdate>
            <title>Geographic Names Information System (GNIS)</title>
            <geoform>Vector digital data</geoform>
            <othercit>The Geographic Names Information System (GNIS) is the Federal and national standard for geographic nomenclature. The U.S.
              Geological Survey developed the GNIS in support of the U.S. Board on Geographic Names as the official repository of domestic geographic
              names data, the official vehicle for geographic names use by all departments of the Federal Government, and the source for applying
              geographic names to Federal electronic and printed products.</othercit>
            <onlink>http://geonames.usgs.gov/</onlink>
          </citeinfo>
        </srccite>
        <srcscale>24000</srcscale>
        <typesrc>digital data</typesrc>
        <srctime>
          <timeinfo>
            <rngdates>
              <begdate>19800115</begdate>
              <enddate>20170428</enddate>
            </rngdates>
          </timeinfo>
          <srccurr>publication date</srccurr>
        </srctime>
        <srccitea>Geographic Names</srccitea>
        <srccontr>Geographic feature names</srccontr>
      </srcinfo>
      <srcinfo>
        <srccite>
          <citeinfo>
            <origin>U.S. Geological Survey in cooperation with U.S. Environmental Protection Agency, USDA Forest Service, and other Federal, State and
              local partners. National Hydrography Dataset is a component of a comprehensive base geospatial data model.</origin>
            <pubdate>20180206</pubdate>
            <title>Hydrography</title>
            <geoform>Vector digital data</geoform>
            <othercit>The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream
              segments or reaches that make up the nation's surface water drainage system. The high-resolution NHD was originally created using
              1:24,000-scale data. State and Local Stewards are improving the data by incorporating local updates based on more current and more
              accurate source data. Water features in the real world are relatively dynamic and the differences at the time of data collection mean
              that water features may not register exactly to other layers. The hydrographic feature names contained in and displayed by the NHD are
              extracted and validated from the Geographic Names Information System (GNIS). Spatial objects may be filtered or generalized to achieve a
              1:24,000-scale representation.</othercit>
            <onlink>http://nhd.usgs.gov/</onlink>
            <onlink>http://nhd.usgs.gov/gnis.html</onlink>
          </citeinfo>
        </srccite>
        <srcscale>24000</srcscale>
        <typesrc>digital data</typesrc>
        <srctime>
          <timeinfo>
            <rngdates>
              <begdate>20061018</begdate>
              <enddate>20170110</enddate>
            </rngdates>
          </timeinfo>
          <srccurr>publication date</srccurr>
        </srctime>
        <srccitea>Hydrography</srccitea>
        <srccontr>Hydrography features and feature names</srccontr>
      </srcinfo>
      <srcinfo>
        <srccite>
          <citeinfo>
            <origin>U.S. Fish and Wildlife Service</origin>
            <pubdate>20180206</pubdate>
            <title>Wetlands - Emergent and Forest/Shrub</title>
            <geoform>vector digital data</geoform>
            <othercit>This data set represents the extent, approximate location and type of wetlands and deepwater habitats in the United States and
              its Territories. While the Fish and Wildlife Service produces a variety of wetland categories, only two (Emergent and Forest/Shrub
              wetlands as defined by Cowardin et al. (1979)) are included on US Topo Maps.The emergent wetlands depicted do not include lakes, rivers,
              open water ponds, deepwater marine and estuarine features or non-vegetated, farmed, intermittent and temporarily flooded wetlands. The
              goal is to provide a visual depiction of the approximate location and extent of Emergent and Forest/Shrub wetlands. Digital wetlands
              data are intended for use with base maps and digital aerial photography at a scale of 1:12,000 or smaller. Due to the scale, the primary
              intended use is for data display on the US Topo Maps. This data display is not intended for analysis. The map products were neither
              designed or intended to represent legal or regulatory products. Questions or comments regarding the interpretation or classification of
              wetlands can be addressed by visiting http://www.fws.gov/wetlands/FAQs.html These data were developed in conjunction with the
              publication Cowardin, L.M., V. Carter, F.C. Golet, and E.T. LaRoe. 1979. Classification of Wetlands and Deepwater Habitats of the United
              States. U.S. Department of the Interior, Fish and Wildlife Service, Washington, DC. FWS/OBS-79/31. For more information on the wetland
              classification codes visit http://www.fws.gov/wetlands/Data/Wetland-Codes.html. Note that coastline delineations were drawn to follow
              the extent of wetland features as described by this project and may not match the coastline shown in other base maps.</othercit>
            <onlink>http://www.fws.gov/wetlands/</onlink>
            <onlink>http://www.fws.gov/wetlands/FAQs.html</onlink>
            <onlink>http://www.fws.gov/wetlands/Data/Wetland-Codes.html</onlink>
          </citeinfo>
        </srccite>
        <typesrc>digital data</typesrc>
        <srctime>
          <timeinfo>
            <rngdates>
              <begdate>19840401</begdate>
              <enddate>19840401</enddate>
            </rngdates>
          </timeinfo>
          <srccurr>publication date</srccurr>
        </srctime>
        <srccitea>Wetlands - Emergent and Forest/Shrub</srccitea>
        <srccontr>Spatial information</srccontr>
      </srcinfo>
      <srcinfo>
        <srccite>
          <citeinfo>
            <origin>U.S. Census Bureau</origin>
            <pubdate>20180206</pubdate>
            <title>State and Equivalent Boundary</title>
            <geoform>Vector digital data</geoform>
            <othercit>The Census Bureau collects boundaries from state and county governments through the Boundary and Annexation Survey (BAS), and
              publishes the results as TIGER files. The USGS uses the TIGER data without editing or alteration for US Topo.</othercit>
            <onlink>https://www.census.gov/geo/maps-data/data/tiger-line.html</onlink>
            <onlink>https://www.census.gov/programs-surveys/bas.html</onlink>
          </citeinfo>
        </srccite>
        <srcscale>24000</srcscale>
        <typesrc>digital data</typesrc>
        <srctime>
          <timeinfo>
            <rngdates>
              <begdate>20160819</begdate>
              <enddate>20160819</enddate>
            </rngdates>
          </timeinfo>
          <srccurr>publication date</srccurr>
        </srctime>
        <srccitea>State Boundaries</srccitea>
        <srccontr>State and Equivalent Boundary</srccontr>
      </srcinfo>
      <srcinfo>
        <srccite>
          <citeinfo>
            <origin>U.S. Census Bureau</origin>
            <pubdate>20180206</pubdate>
            <title>County and Equivalent Boundary</title>
            <geoform>Vector digital data</geoform>
            <othercit>The Census Bureau collects boundaries from state and county governments through the Boundary and Annexation Survey (BAS), and
              publishes the results as TIGER files. The USGS uses Census TIGER data without editing or alteration for US Topo.</othercit>
            <onlink>http://www.census.gov/geo/www/tiger/index.html</onlink>
            <onlink>https://www.census.gov/programs-surveys/bas.html</onlink>
          </citeinfo>
        </srccite>
        <srcscale>24000</srcscale>
        <typesrc>digital data</typesrc>
        <srctime>
          <timeinfo>
            <rngdates>
              <begdate>20140601</begdate>
              <enddate>20160501</enddate>
            </rngdates>
          </timeinfo>
          <srccurr>publication date</srccurr>
        </srctime>
        <srccitea>County Boundaries</srccitea>
        <srccontr>County and Equivalent Boundary</srccontr>
      </srcinfo>
      <srcinfo>
        <srccite>
          <citeinfo>
            <origin>National Park Service - Land Resources Division</origin>
            <pubdate>20180206</pubdate>
            <title>Administrative Boundaries of National Park System Units</title>
            <geoform>Vector digital data</geoform>
            <othercit>This dataset depicts National Park Service unit boundaries for display and general analysis purposes. This data set is complete
              but subject to continual updates to reflect boundary amendments, legislation, and acquisitions, and improved processing techniques. The
              data is being regularly updated with verified boundaries from NPS Land Resources Division. The data is intended for use as a tool for
              display and general GIS analysis purposes only. It is in no way intended for engineering or legal purposes. The data accuracy is checked
              against best available sources which may be dated. NPS assumes no liability for use of this data. Boundaries from the Land Resources
              Division have separate polygons for each type of unit. For example Denali National Park and Denali National Preserve are separate
              individual polygons.</othercit>
            <onlink>https://irma.nps.gov/Portal</onlink>
          </citeinfo>
        </srccite>
        <srcscale>24000</srcscale>
        <typesrc>digital data</typesrc>
        <srctime>
          <timeinfo>
            <rngdates>
              <begdate>2002</begdate>
              <enddate>2017</enddate>
            </rngdates>
          </timeinfo>
          <srccurr>publication date</srccurr>
        </srctime>
        <srccitea>National Park Service Boundary</srccitea>
        <srccontr>Current Administrative Boundaries of the National Park System Units</srccontr>
      </srcinfo>
      <srcinfo>
        <srccite>
          <citeinfo>
            <origin>U.S. Dept. of Interior, Bureau of Land Management, Division of Support Services, Branch of Information Resource
              Management</origin>
            <pubdate>20180206</pubdate>
            <title>Public Land Survey System</title>
            <geoform>Vector digital data</geoform>
            <othercit>General: US Topo maps are not legal documents. The PLSS information shown on these maps is for general reference purposes only,
              and should not be used to determine legal boundaries or land ownership. The Bureau of Land Management (BLM) is the authoritative source
              for PLSS information at the federal level, and the US Topo representation is derived from BLM GIS data files. The management of these
              data is not completely uniform throughout the country. Notes for selected individual states follow ---- Alaska PLSS consists of
              protracted (computed, not surveyed) data only. For more information see http://sdms.ak.blm.gov/sdms/data_protracted_grid_gis.html ----
              Ohio was the original PLSS state in the early 1800s, and the land network there is unusually complex. The source data include four
              first-division parcel types. These are all shown on US Topo maps, and are labeled according to BLM's attribution, with a leading letter
              followed by either a number or more letters. The meanings of the leading letters are: S=Section, F=Fractional Section, L=Lot, Q=Quarter
              Township.--- Surveys in some western states are too complex to depict completely on a general-purpose topographic map. Issues include
              separate and overlapping surveys, and land grants that pre-date the PLSS system. Old land grants are generally not shown on US Topo
              (though there are some exceptions), and in areas of overlapping surveys only one is shown. </othercit>
            <onlink>http://nationalcad.org/PLSSWorkgroup/PLSSWorkgroup.html </onlink>
          </citeinfo>
        </srccite>
        <srcscale>24000</srcscale>
        <typesrc>digital data</typesrc>
        <srctime>
          <timeinfo>
            <rngdates>
              <begdate>20170228</begdate>
              <enddate>20170228</enddate>
            </rngdates>
          </timeinfo>
          <srccurr>publication date</srccurr>
        </srctime>
        <srccitea>Public Land Survey System - BLM</srccitea>
        <srccontr>Townships and ranges, sections</srccontr>
      </srcinfo>
      <srcinfo>
        <srccite>
          <citeinfo>
            <origin>USGS - National Elevation Dataset is a component of a comprehensive base geospatial data model.</origin>
            <pubdate>20180206</pubdate>
            <title>Hypsography</title>
            <geoform>Vector digital data</geoform>
            <othercit>Contours are generated from the USGS 3D Elevation Program (3DEP) 1/3 arc-second DEM data. The intended viewing scale for these
              features is 1:24,000. The contours generated from the 1/3 arc-second DEM data are, in some cases, modified by hydro-enforcement with the
              National Hydrography Dataset (NHD) flow lines and water bodies to improve hydro-contour integraion. Contours in areas where the 1/3
              arc-second DEMs were generated for new high resolution lidar may not be hydro-enforced in this way, with the result that hydro features
              and contours may not visually align. Contours are generated primarily for use as a layer in GeoPDFs created in the US Topo digital
              mapping program, and for corresponding vector products. The 1/3 arc-second product is derived from a wide variety of sources, with
              varying accuracies. As of 2017, only about 30% of the country has been covered with lidar elevation data. There is no guarantee or
              warranty concerning the accuracy of the data. Users should be aware that temporal changes may have occurred since these data were
              collected and generated and that some parts of these data may no longer represent actual surface conditions. Hydro-enforcement and
              generalization can also significantly alter the spatial characteristics of the contours. Users should not use these data for critical
              applications without a full awareness of its limitations.</othercit>
            <onlink>https://nationalmap.gov/3DEP/</onlink>
          </citeinfo>
        </srccite>
        <srcscale>24000</srcscale>
        <typesrc>digital data</typesrc>
        <srctime>
          <timeinfo>
            <rngdates>
              <begdate>20170410</begdate>
              <enddate>20170710</enddate>
            </rngdates>
          </timeinfo>
          <srccurr>publication date</srccurr>
        </srctime>
        <srccitea>Hypsography</srccitea>
        <srccontr>Contours</srccontr>
      </srcinfo>
      <srcinfo>
        <srccite>
          <citeinfo>
            <origin>U.S. Geological Survey</origin>
            <pubdate>20180206</pubdate>
            <title>Land Cover - Woodland</title>
            <geoform>Vector digital data</geoform>
            <othercit>The Woodland Tint is a derivative land cover product created using several national map layers: three National Land Cover Database (NLCD) 2011 raster layers (Tree Canopy, Imperviousness, and Land Cover); and two vector layers (National Hydrography Dataset and Transportation). The process begins with masking the NLCD 2011 Tree Canopy Data cartographic with NLCD 2011 Imperviousness (values from 1-100), and NLCD 2011 Land Cover (value 11 = Open Water). The resulting raster data with canopy values of 20 and greater are converted to woodland vector polygons and smoothed via the Paek Algorithm. The woodland polygons are masked with buffered Transportation (Roads, Airport Runways, and Railroads) and Hydrography (NHD Areas excluding Inundation Area and NHD Waterbodies excluding Swamp/Marsh). The resulting polygons are checked for scale appropriate size (minimum size of one acre), and the small woodland polygons as well as small clearings within the woodland polygons are deleted. For Hawaii and Puerto Rico, two National Land Cover Database (NLCD) raster layers (Tree Canopy 2011 and Imperviousness 2001): and two vector layers(National Hydrography Dataset and Transportation) are used. The resulting raster data is carried out as before to produce the polygon vector data.  For Alaska, the Woodland Tint is a derivative land cover product created using five national map layers: one raster layer, National Land Cover Database (NLCD) 2011 (Land Cover); and four vector layers (National Hydrography Dataset, Transportation Roads, Transportation Airports and Transportation Railroads). The process begins with combining three NLCD 2011 Land Cover V1 Classes (41 - Deciduous Forest, 42 - Evergreen Forest, and 43 - Mixed Forest). The resulting raster data was converted to woodland vector polygons, and smoothed via the Paek Algorithm. The woodland polygons are masked with buffered Transportation (Roads, Airport Runways, and Railroads) and Hydrography (NHD Areas excluding Inundation Areas and NHD Waterbodies excluding Swamp/Marsh). The resulting polygons are checked for scale appropriate size (minimum size of one acre), and the small woodland polygons as well as small clearings within the woodland polygons are deleted.</othercit>
            <onlink>http://nationalmap.gov</onlink>
          </citeinfo>
        </srccite>
        <srcscale>24000</srcscale>
        <typesrc>digital data</typesrc>
        <srctime>
          <timeinfo>
            <rngdates>
              <begdate>20010101</begdate>
              <enddate>20110101</enddate>
            </rngdates>
          </timeinfo>
          <srccurr>publication date</srccurr>
        </srctime>
        <srccitea>Land Cover - Woodland</srccitea>
        <srccontr>National Landcover Dataset; National Hydrography Dataset; National Transportation Dataset</srccontr>
      </srcinfo>
      <srcinfo>
        <srccite>
          <citeinfo>
            <origin>U.S. Geological Survey</origin>
            <pubdate>20180206</pubdate>
            <title>Shaded Relief</title>
            <geoform>raster digital data</geoform>
            <othercit>The Shaded relief is a derivative elevation product created from the USGS 3D Elevation Program (3DEP) 1/3 arc-second DEM data.
              First there are five separate shaded relief datasets created from the original data. Each shaded relief has different azimuths and
              altitude values as follows: 00 450, 1350 600, 2700 450, 3150 450, 450 450. These five datasets are then combined into one feature class
              using map algebra to compute the raster layers using the following equation shadedrelief1 + shadedrelief2 + shadedrelief3 +
              (shadedrelief4 x 2) + shaded relief5 \ 6. This equation gives double importance to the 3150 azimuth and 450 elevation.</othercit>
          </citeinfo>
        </srccite>
        <srcscale>24000</srcscale>
        <typesrc>digital data</typesrc>
        <srctime>
          <timeinfo>
            <rngdates>
              <begdate>20120101</begdate>
              <enddate>20150101</enddate>
            </rngdates>
          </timeinfo>
          <srccurr>publication date</srccurr>
        </srctime>
        <srccitea>Shaded Relief</srccitea>
        <srccontr>3D Elevation Program</srccontr>
      </srcinfo>
      <srcinfo>
        <srccite>
          <citeinfo>
            <origin>U.S. Geological Survey</origin>
            <pubdate>20180206</pubdate>
            <title>Grids and Coordinate System</title>
            <othercit>Geographic Coordinate, U.S. National Grid, and UTM grid values are displayed along the map projection.</othercit>
          </citeinfo>
        </srccite>
        <srcscale>24000</srcscale>
        <typesrc>raster data</typesrc>
        <srctime>
          <timeinfo>
            <rngdates>
              <begdate>Publication Date</begdate>
              <enddate>Publication Date</enddate>
            </rngdates>
          </timeinfo>
          <srccurr>publication date</srccurr>
        </srctime>
        <srccitea>Grids and Coordinate Systems</srccitea>
        <srccontr>U.S. National Grid, UTM grid.</srccontr>
      </srcinfo>
      <procstep>
        <procdesc>All geospatial content is taken from national geospatial databases under the stewardship of USGS data programs. The NAIP and SPOT imagery is provided by a seamless tile service that delivers image data at a predetermined resolution and quality. The raster and vector data, including grids and collar information, are processed using ESRI ArcGIS software and exported as a geospatial PDF using ESRI ArcGIS software. Map formatting is performed using a custom application, which includes post-processing to embed the metadata XML document and legend. The final GeoTIFF produced from the PDF is downsampled to 300 PPI, compressed, and zipped with an external metadata file. In addition, the projection of the GeoTIFFs are modified to accommodate a rotation of the maps so that the data frame is square to the page(the central meridian is shifted, modifying the projection from Universal Transverse Mercator to Transverse Mercator). All properties of the original PDF projection are retained. Any use of trade, product, or firm names in this publication is for descriptive purposes only and does not imply endorsement by the U.S. Government</procdesc>
        <procdate>20180206</procdate>
      </procstep>
    </lineage>
  </dataqual>
  <spdoinfo>
    <direct>Raster</direct>
  </spdoinfo>
  <spref>
    <horizsys>
      <planar>
        <mapproj>
          <mapprojn>Transverse Mercator</mapprojn>
          <transmer>
            <sfctrmer>0.9996</sfctrmer>
            <longcm>-88.5625</longcm>
            <latprjo>0.0</latprjo>
            <feast>500000</feast>
            <fnorth>0.0</fnorth>
          </transmer>
        </mapproj>
        <planci>
          <plance>coordinate pair</plance>
          <coordrep>
            <absres>2</absres>
            <ordres>2</ordres>
          </coordrep>
          <plandu>meters</plandu>
        </planci>
      </planar>
      <geodetic>
        <horizdn>North American Datum of 1983</horizdn>
        <ellips>Geodetic Reference System 80</ellips>
        <semiaxis>6378137</semiaxis>
        <denflat>298.2572221</denflat>
      </geodetic>
    </horizsys>
    <vertdef>
      <altsys>
        <altdatum>North American Vertical Datum of 1988</altdatum>
        <altres>3</altres>
        <altunits>meters</altunits>
        <altenc>Explicit elevation coordinate included with horizontal coordinates</altenc>
      </altsys>
    </vertdef>
  </spref>
  <eainfo>
    <overview>
      <eaover>This is a general-purpose design and layout quadrangle map based on the traditional USGS quadrangle cells. The domain is a standard
        7.5-minute cell. The scale is 1:24,000.</eaover>
      <eadetcit>For general information on US Topo maps, refer to the National Geospatial Program US Topo Product Standard, 2011.</eadetcit>
    </overview>
  </eainfo>
  <metainfo>
    <metd>20180206</metd>
    <metc>
      <cntinfo>
        <cntorgp>
          <cntorg>U.S. Geological Survey, National Geospatial Technical Operations Center</cntorg>
          <cntper>Not Provided</cntper>
        </cntorgp>
        <cntaddr>
          <addrtype>mailing and physical</addrtype>
          <address>1400 Independence Road</address>
          <city>Rolla</city>
          <state>MO</state>
          <postal>65401</postal>
        </cntaddr>
        <cntaddr>
          <addrtype>mailing and physical</addrtype>
          <address>Box 25046 Denver Federal Center</address>
          <city>Lakewood</city>
          <state>CO</state>
          <postal>80225</postal>
        </cntaddr>
        <cntvoice>1-888-ASK-USGS (1-888-275-8747)</cntvoice>
        <cntemail>http://www.usgs.gov/ask/</cntemail>
        <hours>Monday through Friday 8:00 AM to 4:00 PM</hours>
        <cntinst>Metadata information can also be obtained through online services using The National Map Viewer, at http://nationalmap.gov or
          EarthExplorer, at http://earthexplorer.usgs.gov or Ask USGS at http://www.usgs.gov/ask.</cntinst>
      </cntinfo>
    </metc>
    <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>
    <metstdv>FGDC-STD-001-1998</metstdv>
  </metainfo>
</metadata>
