<?xml version='1.0' encoding='UTF-8'?>
<metadata>
  <idinfo>
    <citation>
      <citeinfo>
        <origin>U.S. Geological Survey</origin>
        <pubdate>20180802</pubdate>
        <title>USGS US Topo 7.5-minute map for O'Leary Peak, AZ 2018</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>
        <lworkcit>
          <citeinfo>
            <origin>U.S. Geological Survey</origin>
            <pubdate>2023</pubdate>
            <title>US Topo Historical</title>
            <onlink>https://www.sciencebase.gov/catalog/item/5061bc99e4b0ce47085a8d03</onlink>
          </citeinfo>
        </lworkcit>
      </citeinfo>
    </citation>
    <descript>
      <abstract>Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.</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: 32696; {"inventory":"280688e9-d3cc-2672-f079-ef8be5b073eb","cellId":32696,"scale":24000,"pageWidth":24,"pageHeight":29}</supplinf>
    </descript>
    <timeperd>
      <timeinfo>
        <rngdates>
          <begdate>19640101</begdate>
          <enddate>20180530</enddate>
        </rngdates>
      </timeinfo>
      <current>publication date</current>
    </timeperd>
    <status>
      <progress>Complete</progress>
      <update>Irregular</update>
    </status>
    <spdom>
      <bounding>
        <westbc>-111.5</westbc>
        <eastbc>-111.625</eastbc>
        <northbc>35.5</northbc>
        <southbc>35.375</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>
      <place>
        <placekt>Geographic Names Information System</placekt>
        <placekey>US</placekey>
        <placekey>Arizona</placekey>
        <placekey>Coconino County</placekey>
      </place>
      <place>
        <placekt>None</placekt>
        <placekey>O'Leary Peak, AZ</placekey>
      </place>
      <theme>
        <themekt>The National Map Type Thesaurus</themekt>
        <themekey>Downloadable Data</themekey>
      </theme>
      <theme>
        <themekt>The National Map Theme Thesaurus</themekt>
        <themekey>Map</themekey>
      </theme>
      <theme>
        <themekt>The National Map Collection Thesaurus</themekt>
        <themekey>US Topo Historical</themekey>
        <themekey>US Topo</themekey>
      </theme>
      <theme>
        <themekt>The National Map Product Extent Thesaurus</themekt>
        <themekey>7.5 x 7.5 minute</themekey>
      </theme>
      <theme>
        <themekt>The National Map Product Format Thesaurus</themekt>
        <themekey>Geospatial PDF</themekey>
      </theme>
    </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>
    <browse>
      <browsen>https://prd-tnm.s3.amazonaws.com/StagedProducts/Maps/USTopo/PDF/AZ/AZ_O%27Leary_Peak_20180802_TM_tn.jpg</browsen>
      <browsed>Thumbnail JPG image of map</browsed>
      <browset>JPEG</browset>
    </browse>
  </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>This product is a layered geospatial PDF file.</logic>
    <complete>Each PDF layer is derived from data extracted from USGS national geospatial databases. These data are intended to be cartographically complete at 1:24,000 scale.</complete>
    <posacc>
      <horizpa>
        <horizpar>This US Topo map product is 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. However, other vector layers do generally register well with the orthoimage, which is evidence that the overall accuracy is close to meeting NMAS.</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>Publication Date</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>20150617</begdate>
              <enddate>20150826</enddate>
            </rngdates>
          </timeinfo>
          <srccurr>publication date</srccurr>
        </srctime>
        <srccitea>Imagery</srccitea>
        <srccontr>Image</srccontr>
      </srcinfo>
      <srcinfo>
        <srccite>
          <citeinfo>
            <origin>USFS</origin>
            <pubdate>2015</pubdate>
            <title>Transportation, USFS FSTopo roads</title>
            <geoform>Vector digital data</geoform>
            <othercit>The FSTopo database was originally populated with Cartographic Feature File (CFF) data. CFF data were derived from the standard Forest Service Primary Base Series (PBS) or Single Edition Series (SES) map as part of the Forest Service National Geographic Information System Plan. PBS and SES maps were developed from the U.S. Geological Survey 1:24,000-scale, 7.5-minute topographic map series, with enhancements and regular revisions to satisfy Forest Service needs. Except in Alaska, where 1:63,360-scale maps are used, the original USGS 1:24,000-scale source maps were constructed to meet National Map Accuracy Standards, which require that 90 percent of all well-defined features shown on the map are within .02 inches of their true location. CFF data were collected using methods and the best technologies available to ensure that digitized elements were captured within .003 inches of corresponding elements shown on source maps. The USDA Geospatial Service and Technology Center (GSTC) uses the same data collection accuracy standard for additions and revisions to the data. Only maps in USDA Forest Service areas will contain USDA Forest roads.</othercit>
            <onlink>http://www.fs.fed.us/gstc/</onlink>
          </citeinfo>
        </srccite>
        <srcscale>24000</srcscale>
        <typesrc>digital data</typesrc>
        <srctime>
          <timeinfo>
            <rngdates>
              <begdate>20140618</begdate>
              <enddate>20180530</enddate>
            </rngdates>
          </timeinfo>
          <srccurr>publication date</srccurr>
        </srctime>
        <srccitea>Roads - USFS FSTopo</srccitea>
        <srccontr>Road centerlines, route numbers, road classification, street names</srccontr>
      </srcinfo>
      <srcinfo>
        <srccite>
          <citeinfo>
            <origin>USFS</origin>
            <pubdate>Publication Date</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>20140618</begdate>
              <enddate>20180530</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>Federal land management agencies</origin>
            <pubdate>2016</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</origin>
            <pubdate>Publication Date</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>19800208</begdate>
              <enddate>20171216</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>20100820</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>20040908</begdate>
              <enddate>20170202</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>Publication Date</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>19810601</begdate>
              <enddate>19810601</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. Department of Agriculture (USDA) Forest Service - Washington Office Automated Lands Program (ALP). </origin>
            <pubdate>2009</pubdate>
            <title>USDA Forest Service Boundary</title>
            <geoform>vector digital data</geoform>
            <othercit>The forest service boundaries defined by the USDA Forest Service encompassing the National Forest System (NFS) lands within the original proclaimed National Forests, along with lands added to the NFS which have taken on the status of 'reserved from the public domain' under the General Exchange Act. The following area types are included: National Forest, Experimental Area, Experimental Forest, Experimental Range, Land Utilization Project, National Grassland, Purchase Unit, and Special Management Area. The nationwide Proclaimed Forest dataset was created by the USDA Forest Service, Washington Office Automated Lands Program (ALP) staff from collected source data created by the Regional Offices. Only maps in USDA Forest Service areas will contain USDA Forest boundaries.</othercit>
          </citeinfo>
        </srccite>
        <srcscale>24000</srcscale>
        <typesrc>digital data</typesrc>
        <srctime>
          <timeinfo>
            <rngdates>
              <begdate>20170630</begdate>
              <enddate>20170630</enddate>
            </rngdates>
          </timeinfo>
          <srccurr>publication date</srccurr>
        </srctime>
        <srccitea>USDA Forest Service Boundaries</srccitea>
        <srccontr>National Forest Service Boundaries</srccontr>
      </srcinfo>
      <srcinfo>
        <srccite>
          <citeinfo>
            <origin>U.S. Census Bureau</origin>
            <pubdate>20140401</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>2014</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>National Park Service - Land Resources Division</origin>
            <pubdate>2014</pubdate>
            <title>National Park Service Boundary</title>
            <geoform>vector digital data</geoform>
            <othercit>This dataset depicts National Park Service unit boundaries for display and general analysis purposes. The USGS converted areas of generally 3 acres or less to point features to facilitate cartographic display on the US Topo digital map product. See Source URL for link to complete dataset. 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/App/Portal</onlink>
          </citeinfo>
        </srccite>
        <typesrc>digital data</typesrc>
        <srctime>
          <timeinfo>
            <rngdates>
              <begdate>20170331</begdate>
              <enddate>20170331</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>Bureau of Land Management</origin>
            <pubdate>Unknown</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>20150201</begdate>
              <enddate>20150201</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>2012</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>20170103</begdate>
              <enddate>20170103</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>20020401</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>20000119</begdate>
              <enddate>20000119</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>2016</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>Publication Date</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>19640101</begdate>
              <enddate>19640101</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>Publication Date</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>Grids and coordinate system annotation are computed for US Topo maps with Esri ArcGIS software.</procdesc>
        <procdate>20180802</procdate>
      </procstep>
    </lineage>
  </dataqual>
  <spdoinfo>
    <direct>Raster</direct>
  </spdoinfo>
  <spref>
    <horizsys>
      <planar>
        <gridsys>
          <gridsysn>Universal Transverse Mercator</gridsysn>
          <utm>
            <utmzone>12</utmzone>
            <transmer>
              <sfctrmer>0.9996</sfctrmer>
              <longcm>-110.99</longcm>
              <latprjo>0.0</latprjo>
              <feast>500000</feast>
              <fnorth>0.0</fnorth>
            </transmer>
          </utm>
        </gridsys>
        <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>National Geospatial Program US Topo Product Standard, 2011.</eadetcit>
    </overview>
  </eainfo>
  <distinfo>
    <distrib>
      <cntinfo>
        <cntorgp>
          <cntorg>U.S. Geological Survey</cntorg>
        </cntorgp>
        <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>usgsstore@usgs.gov</cntemail>
      </cntinfo>
    </distrib>
    <resdesc>Downloadable Data</resdesc>
    <distliab>Although these data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the accuracy or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. This disclaimer applies both to individual use of the data and aggregate use with other data. It is strongly recommended that these data are directly acquired from a U.S. Geological Survey server, and not indirectly through other sources which may have changed the data in some way. It is also strongly recommended that careful attention be paid to the contents of the metadata file associated with these data. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and/or contained herein.</distliab>
    <stdorder>
      <digform>
        <digtinfo>
          <formname>Geospatial PDF</formname>
          <transize>60.317634</transize>
        </digtinfo>
        <digtopt>
          <onlinopt>
            <computer>
              <networka>
                <networkr>https://prd-tnm.s3.amazonaws.com/StagedProducts/Maps/USTopo/PDF/AZ/AZ_O%27Leary_Peak_20180802_TM_geo.pdf</networkr>
              </networka>
            </computer>
          </onlinopt>
        </digtopt>
      </digform>
      <fees>None</fees>
    </stdorder>
  </distinfo>
  <metainfo>
    <metd>20250919</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>
