<?xml version="1.0" encoding="utf-8"?>
<metadata>
  <idinfo>
    <citation>
      <citeinfo>
        <origin>U.S. Geological Survey</origin>
        <pubdate>20180821</pubdate>
        <title>US Topo 7.5-minute map for Table Mountain D-5 SW, AK</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 = 336626</supplinf>
    </descript>
    <timeperd>
      <timeinfo>
        <rngdates>
          <begdate>20010101</begdate>
          <enddate>20180416</enddate>
        </rngdates>
      </timeinfo>
      <current>publication date</current>
    </timeperd>
    <status>
      <progress>Complete</progress>
      <update>Irregular</update>
    </status>
    <spdom>
      <bounding>
        <westbc>-143.7</westbc>
        <eastbc>-144.0</eastbc>
        <northbc>68.875</northbc>
        <southbc>68.75</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>Alaska</placekey>
        <placekey>North Slope Borough</placekey>
      </place>
      <place>
        <placekt>None</placekt>
        <placekey>Table Mountain D-5 SW, AK</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>Fugro EarthData, Inc.</origin>
            <origin>Aero-Metric, Inc.</origin>
            <origin>Alaska Department of Natural Resources (DNR)</origin>
            <origin>AlaskaMapped / Alaska Statewide Digital Mapping Initiative (SDMI)</origin>
            <origin>University of Alaska - Geographic Information Network of Alaska (GINA)</origin>
            <pubdate>20180821</pubdate>
            <title>Alaska SDMI Statewide Ortho-Imagery Collection</title>
            <edition>SPOT5.SDMI.ORTHO.2011</edition>
            <geoform>remote-sensing image, raster digital data</geoform>
            <pubinfo>
              <pubplace>Fairbanks, Alaska, United States of America</pubplace>
              <publish>State of Alaska, Statewide Digital Mapping Initiative</publish>
            </pubinfo>
            <othercit> Cite as: "Alaska Statewide Digital Mapping Initiative, Ortho-Imagery Program, www.alaskamapped.org" For further information on
              this data set, contact the following: Aero-Metric, Inc. 2014 Merrill Field Rd, Anchorage, AK 99501 +1-907-272-4495. Fugro EarthData,
              Inc. 7320 Executive Way, Frederick, MD 21704 301-948-8550.</othercit>
            <onlink>http://browse.alaska.edu/display/SPOT5.SDMI.ORTHO.2011.0900_1090</onlink>
          </citeinfo>
        </srccite>
        <srcscale>25000</srcscale>
        <typesrc>digital data</typesrc>
        <srctime>
          <timeinfo>
            <rngdates>
              <begdate>20100606</begdate>
              <enddate>20100606</enddate>
            </rngdates>
          </timeinfo>
          <srccurr>publication date</srccurr>
        </srctime>
        <srccitea>Imagery</srccitea>
        <srccontr>Image</srccontr>
      </srcinfo>
      <srcinfo>
        <srccite>
          <citeinfo>
            <origin>Federal land management agencies</origin>
            <pubdate>20180821</pubdate>
            <title>Points of Interest</title>
            <geoform>vector digital data</geoform>
            <othercit>Includes campgrounds, trailheads, visitor centers. Point data was provided by various federal agencies, such as NPS, US Forest
              Service, BLM, US FWS.</othercit>
            <onlink>http://nationalmap.usgs.gov</onlink>
          </citeinfo>
        </srccite>
        <srcscale>24000</srcscale>
        <typesrc>digital data</typesrc>
        <srctime>
          <timeinfo>
            <rngdates>
              <begdate>2016</begdate>
              <enddate>2016</enddate>
            </rngdates>
          </timeinfo>
          <srccurr>ground condition</srccurr>
        </srctime>
        <srccitea>Structures - various</srccitea>
        <srccontr>Geographic features and 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>20180821</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>
            <onlink>http://nhdgeo.usgs.gov/metadata/nhd_high.htm</onlink>
          </citeinfo>
        </srccite>
        <srcscale>24000</srcscale>
        <typesrc>digital data</typesrc>
        <srctime>
          <timeinfo>
            <rngdates>
              <begdate>20010802</begdate>
              <enddate>20150413</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. Census Bureau</origin>
            <pubdate>20180821</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, and
              publishes the results as TIGER files. The USGS uses the TIGER data without editing or alteration.</othercit>
            <onlink>http://www.census.gov/geo/maps-data/data/tiger.html</onlink>
          </citeinfo>
        </srccite>
        <typesrc>digital data</typesrc>
        <srctime>
          <timeinfo>
            <rngdates>
              <begdate>20170928</begdate>
              <enddate>20170928</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>20180821</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 the TIGER data without editing or alteration for US Topo.</othercit>
            <onlink>http://www.census.gov/geo/maps-data/data/tiger.html</onlink>
          </citeinfo>
        </srccite>
        <typesrc>digital data</typesrc>
        <srctime>
          <timeinfo>
            <rngdates>
              <begdate>20160601</begdate>
              <enddate>20170501</enddate>
            </rngdates>
          </timeinfo>
          <srccurr>publication date</srccurr>
        </srctime>
        <srccitea>County Boundaries</srccitea>
        <srccontr>County and Equivalent Boundary</srccontr>
      </srcinfo>
      <srcinfo>
        <srccite>
          <citeinfo>
            <origin>U.S. Department of Interior, U.S. Fish and Wildlife Service</origin>
            <pubdate>20180821</pubdate>
            <title>FWS Interest Simplified Boundaries</title>
            <geoform>vector digital data</geoform>
            <othercit>This data set depicts simplified boundaries of lands administered by the U.S. Fish and Wildlife Service including National
              Wildlife Refuges, National Fish Hatcheries, FWS administrative sites, and other conservation areas. The Alaska National Wildlife Refuge
              Boundaries data set depicts the legislative boundary of the 16 National Wildlife Refuges in Alaska at a source scale of 1:63,360. The
              dataset was created by the U.S. Fish and Wildlife Service, Region 7, Division of Realty and Natural Resources. The USGS substituted the
              Alaska National Wildlife Refuge boundaries for the USFWS Simplified Wildlife Refuge Boundaries in Alaska for cartographic purposes. The
              USFWS Simplified Wildlife Refuge Boundaries are simplified from the U.S. Fish and Wildlife Service Real Estate Interest data layer
              containing polygons representing tracts of land (parcels) in which the Service has a property or management interest. These interests
              include full land ownership, secondary interests in property primarily managed and reported by other federal agencies, leased property,
              property managed by agreement with other parties, and, within National Wildlife Refuges, property governed by conservation easements. A
              conservation easement is a permanent, legally enforceable land preservation agreement between a landowner and a government agency that
              restricts real estate, commercial and industrial development of the land, which remains private property. Inholdings of private property
              within Refuge areas not covered by conservation easements are excluded from these boundaries. The Hawaiian Islands National Wildlife
              Refuge and Waterfowl production area easements acquired through the small wetlands program have been omitted. Interior boundaries
              between parcels were dissolved to produce a single set of simplified external boundaries for each feature. These are resource grade
              mapping representations of the U.S. Fish and Wildlife Service boundaries. For legal descriptions of the land represented here contact
              the USFWS Realty Office. This map layer was compiled by the U.S. Fish and Wildlife Service. The Alaska National Wildlife Refuges dataset
              was derived from the following digital sources and legal documents: 1) Federal Register, Vol. 48, No. 38 Thursday, February 24, 1983
              Notices Pages 7890-8029. 2) USGS 1:250,000 scale Alaska Boundary Series maps entitled: Alaska National Interest Lands Conservation Act
              December 2, 1980 P.L. 96-487 3) Various legal documents such as survey plats, legal metes and bounds descriptions, Deeds, and Titles. 4)
              USGS 1:63,360 scale revised hydrography Digital Line Graphs depicting ground conditions from 1955 to 1986. Although these Fish and
              Wildlife boundaries represent lands administered by the U.S. Fish and Wildlife Service, not all areas are open to the public. Some
              fragile habitats need to be protected from human traffic, some management areas are closed, and the terms of some conservation easements
              preclude public access. The public is urged to contact specific Refuges or other conservation areas before visiting.</othercit>
            <onlink/>
          </citeinfo>
        </srccite>
        <typesrc>digital data</typesrc>
        <srctime>
          <timeinfo>
            <rngdates>
              <begdate>20121129</begdate>
              <enddate>20121129</enddate>
            </rngdates>
          </timeinfo>
          <srccurr>publication date</srccurr>
        </srctime>
        <srccitea>U. S. Fish and Wildlife Service Boundary</srccitea>
        <srccontr>Boundary polygons and names</srccontr>
      </srcinfo>
      <srcinfo>
        <srccite>
          <citeinfo>
            <origin>Bureau of Land Management</origin>
            <pubdate>20180821</pubdate>
            <title>Alaska Bureau of Land Management Boundary</title>
            <geoform>Vector digital data</geoform>
            <othercit>Selected BLM unit boundaries were provided to USGS by BLM Alaska State Office as unpublished datasets. The dataset is for
              general mapping purposes for use on the Alaska US Topo product. These boundaries include National Petroleum Reserve, Steese National
              Conservation Area, White Mountains National Recreation Area. Other BLM units in Alaska are not shown on US Topo maps as of this date,
              though more will be shown in the future. Any hardcopies or published datasets using this data shall clearly indicate their source. Any
              users wishing to modify this data are obligated to report the extent of their modifications. User specifically agrees not to
              misrepresent modification to this data as approved or endorsed by the BLM. No warranty is made by the Bureau of Land Management as to
              the accuracy, reliability, or completeness of these data for individual use or aggregate use with other data.</othercit>
          </citeinfo>
        </srccite>
        <srcscale>63360</srcscale>
        <typesrc>digital data</typesrc>
        <srctime>
          <timeinfo>
            <rngdates>
              <begdate>20150716</begdate>
              <enddate>20150716</enddate>
            </rngdates>
          </timeinfo>
          <srccurr>publication date</srccurr>
        </srctime>
        <srccitea>Bureau of Land Management Boundary</srccitea>
        <srccontr>Boundary polygons</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>20180821</pubdate>
            <title>Public Land Survey System</title>
            <geoform>vector digital data</geoform>
            <othercit>The PLSS information 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 called Cadastral National Spatial Data Infrastructure or CadNSDI. The management of
              these data is not completely uniform throughout the country. Although this metadata record is included with all maps, PLSS is currently
              shown on US Topo Maps for only a few states. PLSS will be added to US Topo maps in more states in coming years as BLM authorized CadNSDI
              format is made available. The three layers USGS stores from PLSS are the Township, First Division and Special Surveys. Metadata for BLM
              PLSS data is at http://www.geocommunicator.gov/GeoComm/metadata/index.htm#PLSS, though this URL may change in the near future. Alternate
              sources of PLSS data will continued to be served mainly in western states where BLM is the data steward or the data is from a trusted
              source. Notes on 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.</othercit>
            <onlink>https://sdms.ak.blm.gov/sdms/</onlink>
            <onlink>https://navigator.blm.gov/home</onlink>
          </citeinfo>
        </srccite>
        <srcscale>24000</srcscale>
        <typesrc>digital data</typesrc>
        <srctime>
          <timeinfo>
            <rngdates>
              <begdate>20080204</begdate>
              <enddate>20080204</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>U.S. Geological Survey, National Geospatial Technical Operations Center - National Elevation Dataset is a component of
              a comprehensive base geospatial data model.</origin>
            <pubdate>20180821</pubdate>
            <title>Hypsography</title>
            <geoform>Vector digital data</geoform>
            <othercit>This contour featureclass was generated from the 1/3 arc-second version of the 3D Elevation Program. The intended
              viewing scale for these features is 1:24,000. The contours are derived from a filtered elevation raster to achieve
              smoother arcs. In some areas, the 3DEP data may be modified by the National Hydrography Dataset (NHD) flow lines and water
              bodies to facilitate improved integration between the hypsography and hydrography on USGS map products. These contours
              were generated primarily for use as a layer in GeoPDFs created in the digital mapping program. The raster data source of
              contours is the 3D Elevation Program 1/3 arc-second layer. Secondary datasets include the high resolution flow lines,
              water bodies, and areas from the National Hydrography Dataset (NHD). The NHD layers are used in hydro-enforcement of the
              DEM prior to contour generation. The goals of the hydro-enforcement are to prevent contour lines from extending over the
              surface of water bodies and to align the contour reentrants with the NHD single- line streams. The 3DEP raster cells are
              converted to points. Those points, along with the NHD flow lines are input into an interpolation tool to create a new
              surface. The NHD water bodies and areas are preprocessed to attach the minimum and maximum elevation to each polygon. From
              these precalculated values, an appropriate value is calculated by which to raise the elevation cells under the NHD
              polygons. The NHD polygons are then converted into rasters, which in turn will be used to generate a mosaic that includes
              the new raster surface. The mosaic is filtered to provide smoother contour lines. Contours are generated and depression
              and index contours are identified. 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>http://Hs.gov/</onlink>
          </citeinfo>
        </srccite>
        <srcscale>24000</srcscale>
        <typesrc>digital data</typesrc>
        <srctime>
          <timeinfo>
            <rngdates>
              <begdate>20180116</begdate>
              <enddate>20180117</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>20180821</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>
            <onlink>https://www.mrlc.gov/nlcd2011.php</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>20180821</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>20160101</begdate>
              <enddate>20160101</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>20180821</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>20180821</procdate>
      </procstep>
    </lineage>
  </dataqual>
  <spdoinfo>
    <direct>Raster</direct>
  </spdoinfo>
  <spref>
    <horizsys>
      <planar>
        <mapproj>
          <mapprojn>Transverse Mercator</mapprojn>
          <transmer>
            <sfctrmer>0.9996</sfctrmer>
            <longcm>-143.85</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 1:25,000.</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>20180821</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>
