USGS US Topo 7.5-minute map for Saint Louis, OK 2012

Resource lineage description

source

source description  Source Contribution: ImageSource Type digital data

representative resolution scale:

Scale denominator: 24000

source citation

Title Orthoimagery

publication  Date   2010-05-04

presentationForm  RASTER DIGITAL DATA OR DIGITAL ORTHORECTIFIED IMAGE OR NAIP DIGITAL ORTHO PHOTO IMAGE

other Citation Details  An orthorectified image is a layer in every product and is provided by the USDA-FSA-APFO from the National Agriculture Image Program (NAIP). This offers the USGS a nationally consistent image product, normally with a one meter resolution in natural color.

cited responsible party - originator

organisation Name  National Agriculture Image Program (NAIP) administered by the Aerial Photography Field Office (APFO) for the United States Department of Agriculture.

cited responsible party -

organisation Name  

Contact information

Linkage for online resource

URL: http://www.fsa.usda.gov/

source

source description  Source Contribution: Road centerlines, route numbers, road classification, street namesSource Type digital data

representative resolution scale:

Scale denominator: 24000

source citation

Title Transportation, commercial roads

publication  Date   2011-01-01

presentationForm  mapDigital

other Citation Details  TomTom Multinet dataset, licensed to the USGS for use in US Topo (1:24,000-scale topographic maps in GeoPDF format). TomTom retains copyright to these data. The USGS license allows these data to be freely used and redistributed in US Topo instances, provided this copyright notice is retained. TomTom data are filtered and may be generalized by USGS for protrayal in this product. TomTom roads are not mixed with other road data sources within a 7.5-minute quadrangle, with the exception of U.S. Forest Service lands, where public domain data from the Forest Service are used.

cited responsible party - originator

organisation Name  TomTom

cited responsible party -

organisation Name  

Contact information

Linkage for online resource

URL: http://www.tomtom.com

source

source description  Source Contribution: Road centerlines, route numbers, road classification, street namesSource Type digital data

representative resolution scale:

Scale denominator: 24000

source citation

Title Transportation, USFS FSTopo roads

publication  Date   2012-01-01

presentationForm  mapDigital

other Citation Details  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.

cited responsible party - originator

organisation Name  USFS

cited responsible party -

organisation Name  

Contact information

Linkage for online resource

URL: http://www.fs.fed.us/gstc/

source

source description  Source Contribution: Main track centerlinesSource Type digital data

representative resolution scale:

Scale denominator: 24000

source citation

Title Transportation, Railroads

publication  Date   2011-01-01

presentationForm  mapDigital

other Citation Details  Railroads are based on unpublished data provided to USGS by the Federal Railroad Administration (FRA). These data were collected by FRA as part of the Automated Track Inspection Program (ATIP). Though not originally intended for mapping purposes, the data are judged by USGS to have high positional accuracy and to be suitable for 1:24,000-scale mapping. The original data were GPS points, which were thinned, filtered, and consolidated by USGS to create the data shown in US Topo. These data are not complete, and the levels of actual completeness within a map cell or for the dataset as a whole are not precisely known. ATIP is an ongoing program, FRA has committed to continue working with USGS, and the data will become more complete with each US Topo production cycle. The USGS has elected to use this mechanism and source of railroad data because no sufficiently current, accurate, and non-proprietary railroad dataset with national coverage can be found. The names of rail lines will be added at some future date.

cited responsible party - originator

organisation Name  Federal Railroad Administration

source

source description  Source Contribution: runwaysSource Type digital data

representative resolution scale:

Scale denominator: 24000

source citation

Title Airports

publication  Date   2012-01-01

presentationForm  mapDigital

other Citation Details  Runway outlines are for Federal Aviation Administration (FAA)-recognized public and private airports in the United States. The FAA runway coordinates, FAA_RunwayID, and Airport Location Codes were used by the USGS to digitize runway outlines on recent NAIP orthoimagery. The digitized data were inspected for accuracy and completeness then loaded into the USGS national transportation database.

cited responsible party - originator

organisation Name  Federal Aviation Administration

cited responsible party -

organisation Name  

Contact information

Linkage for online resource

URL: http://www.faa.gov

source

source description  Source Contribution: Source Type digital data

representative resolution scale:

Scale denominator: 24000

source citation

Title Fire Stations

publication  Date   2012-01-01

presentationForm  mapDigital

other Citation Details  Any location where fire fighters are stationed or based out of, 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. Fire Departments which are Mobile Units and not having a permanent location, are included, in which case their location has been depicted at the city/town hall or at the center of their service area if a city/town hall does not exist. This dataset includes those locations primarily engaged in forest or grasslands fire fighting, including fire lookout towers if the towers are in current use for fire protection purposes. 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.

cited responsible party - originator

organisation Name  State and Federal Partners

cited responsible party -

organisation Name  

Contact information

Linkage for online resource

URL: http://nationalmap.usgs.gov

source

source description  Source Contribution: Source Type digital data

representative resolution scale:

Scale denominator: 24000

source citation

Title Hospitals

publication  Date   2011-01-01

presentationForm  mapDigital

other Citation Details  Includes general medical and surgical hospitals, psychiatric, substance abuse and specialty hospitals such as Children's hospitals, cancer, maternity and rehabilitation hospitals. Other types of hospitals are included if represented in data sets provided by various partners for this compilation. Hospitals operated by the US Department of Veterans Affairs are included. Nursing homes, long term care facilities and Urgent Care facilities are generally excluded. Locations that are administrative offices only are excluded from the dataset.

cited responsible party - originator

organisation Name  State and Federal Partners

cited responsible party -

organisation Name  

Contact information

Linkage for online resource

URL: http://nationalmap.usgs.gov

source

source description  Source Contribution: Source Type digital data

representative resolution scale:

Scale denominator: 24000

source citation

Title Schools

publication  Date   2008-01-01

presentationForm  mapDigital

other Citation Details  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.

cited responsible party - originator

organisation Name  State and Federal Partners

cited responsible party -

organisation Name  

Contact information

Linkage for online resource

URL: http://nationalmap.usgs.gov

source

source description  Source Contribution: Geographic feature namesSource Type digital data

representative resolution scale:

Scale denominator: 24000

source citation

Title Geographic Names Information System (GNIS)

publication  Date   2012-01-01

presentationForm  mapDigital

other Citation Details  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.

cited responsible party - originator

organisation Name  U.S. Geological Survey

cited responsible party -

organisation Name  

Contact information

Linkage for online resource

URL: http://geonames.usgs.gov/

source

source description  Source Contribution: Hydrography features and feature namesSource Type digital data

representative resolution scale:

Scale denominator: 24000

source citation

Title Hydrography

publication  Date   2010-05-04

presentationForm  mapDigital

other Citation Details  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.

cited responsible party - originator

organisation Name  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.

cited responsible party -

organisation Name  

Contact information

Linkage for online resource

URL: http://nhd.usgs.gov/

cited responsible party -

organisation Name  

Contact information

Linkage for online resource

URL: http://nhd.usgs.gov/gnis.html

cited responsible party -

organisation Name  

Contact information

Linkage for online resource

URL: http://nhdgeo.usgs.gov/metadata/nhd_high.htm

source

source description  Source Contribution: Hydrography features and gaging stationsSource Type digital data

representative resolution scale:

Scale denominator: 24000

source citation

Title Gaging Stations

publication  Date   2011-01-01

presentationForm  mapDigital

other Citation Details  This dataset, termed "GAGES II", an acronym for Geospatial Attributes of Gages for Evaluating Streamflow, version II, provides geospatial data and classifications for 9,322 stream gages maintained by the U.S. Geological Survey (USGS). It is an update to the original GAGES in 2010. The GAGES II dataset consists of gages which have had either 20+ complete years (not necessarily continuous) of discharge record since 1950, or are currently active, as of water year 2009, and whose watersheds lie within the United States, including Alaska, Hawaii, and Puerto Rico. Only active stations, as identified by the GAGES II dataset, are symbolized.

cited responsible party - originator

organisation Name  U.S. Geological Survey

cited responsible party -

organisation Name  

Contact information

Linkage for online resource

URL: http://water.usgs.gov/lookup/getspatial?gagesII_Sept2011

cited responsible party -

organisation Name  

Contact information

Linkage for online resource

URL: http://http://water.usgs.gov/GIS/metadata/usgswrd/XML/gagesII_Sept2011.xml

source

source description  Source Contribution: International Boundary between Canada and the United StatesSource Type digital data

source citation

Title U.S.-Canada National Boundary

publication  Date   2006-01-01

presentationForm  mapDigital

other Citation Details  The international boundary dataset between Canada and the United States was provided by Maine Office of Geographic Information Systems (MEGIS), University of New Hampshire, Vermont Center for Geographic Information, Inc (VCGI). The dataset was collected from multiple source agencies such as the U.S. Geological Survey, U.S. Department of Commerce, Bureau of Census, Bureau of Parks and Lands, Coastal Island Registry (CIREG) and various state agencies. The data and attribution accuracy was tested by manual comparison of the source with hard copy printouts and/or symbolized display of digital files and corrected by each state GIS department for use at a scale not greater than 1:24,000.

cited responsible party - originator

organisation Name  International Boundary Commission

cited responsible party -

organisation Name  

Contact information

Linkage for online resource

URL: http://www.internationalboundarycommission.org/

cited responsible party -

organisation Name  

Contact information

Linkage for online resource

URL: http://www.internationalboundarycommission.org/products.html#nad83

source

source description  Source Contribution: International Boundary between Mexico and the United StatesSource Type digital data

source citation

Title U.S.-Mexico National Boundary

publication  Date   2006-01-01

presentationForm  mapDigital

other Citation Details  The international boundary between Mexico and the United States, defined as a joint venture between the U.S. Department of Agriculture (USDA) and the Instituto Nacional de Estad stica y Geograf a of Mexico (INEGI), resulted in an unofficial United States-Mexico boundary dataset that was further enhanced by the U.S. Geological Survey's Border Environmental Health Initiative (BEHI). With the data frame scale set to 1:5,000 in ArcMap, the center of the Rio Grande/R o Bravo was digitized using the NAIP 2004 Imagery. In areas with dense stands of salt cedar (bounding box = UL -104.714 30.038, UR -104.664 30.037, LR -104.666 29.933, LL -104.717 29.934; NAD83), the center of the channel was difficult, and sometimes impossible, to easily determine. To determine the location of the boundary, the GIS analyst compared the location of the line in the INEGI 1:250K Limite feature class with the NAIP 2004 Imagery and adjusted the boundary to the image, thus, the delineation of the international boundary is less certain in these areas. The remaining part of the border was extracted from the INEGI 1:250K Limite feature class and appended to the line feature class created along the Rio Grande/R o Bravo. The U.S. Geological Survey reviewed the original USDA data against 2007 NAIP imagery and further edited 9 line segments in the Rio Grande areas to conform to National Map Accuracy Standards.

cited responsible party - originator

organisation Name  U.S. Geological Survey, U.S. Department of Agriculture, and the Instituto Nacional de Estad stica y Geograf a of Mexico.

cited responsible party -

organisation Name  

Contact information

Linkage for online resource

URL: http://borderhealth.cr.usgs.gov/projectindex.html

cited responsible party -

organisation Name  

Contact information

Linkage for online resource

URL: http://extract.cr.usgs.gov/BorderHealth/Boundaries/Int_Boundary/International_Boundary_Shapefile.zip

source

source description  Source Contribution: National Forest Service BoundariesSource Type digital data

representative resolution scale:

Scale denominator: 24000

source citation

Title USDA Forest Service Boundary

publication  Date   2009-01-01

presentationForm  mapDigital

other Citation Details  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.

cited responsible party - originator

organisation Name  U.S. Department of Agriculture (USDA) Forest Service - Washington Office Automated Lands Program (ALP).

source

source description  Source Contribution: State and Equivalent BoundarySource Type digital data

source citation

Title State and Equivalent Boundary

publication  Date   2010-01-01

presentationForm  mapDigital

other Citation Details  The Census Bureau collects boundaries from state and county governments through the Boundary and Annexation Survey (BAS, http://www.census.gov/geo/www/bas/bashome.html), and publishes the results as TIGER files. The USGS uses the TIGER data without editing or alteration for US Topo.

cited responsible party - originator

organisation Name  U.S. Census Bureau

cited responsible party -

organisation Name  

Contact information

Linkage for online resource

URL: http://www.census.gov/geo/www/tiger/index.html

cited responsible party -

organisation Name  

Contact information

Linkage for online resource

URL: ftp://ftp2.census.gov/geo/tiger/TIGER2010/STATE/2010/

source

source description  Source Contribution: County and Equivalent BoundarySource Type digital data

source citation

Title County and Equivalent Boundary

publication  Date   2010-01-01

presentationForm  mapDigital

other Citation Details  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.

cited responsible party - originator

organisation Name  U.S. Census Bureau

cited responsible party -

organisation Name  

Contact information

Linkage for online resource

URL: http://www.census.gov/geo/www/tiger/index.html

cited responsible party -

organisation Name  

Contact information

Linkage for online resource

URL: ftp://ftp2.census.gov/geo/tiger/TIGER2010/COUNTY/2010/

cited responsible party -

organisation Name  

Contact information

Linkage for online resource

URL: http://www.census.gov/geo/www/bas/bashome.html

source

source description  Source Contribution: Townships and ranges, sectionsSource Type digital data

representative resolution scale:

Scale denominator: not applicable

source citation

Title Public Land Survey System

publication  Date   9999-01-01

presentationForm  mapDigital

other Citation Details  Section boundaries were generated from geodetic latitude and longitude coordinate pairs as recorded on BLM's official protraction diagrams of the state of Alaska. The SDMS_PROD protraction tables were modified to include pro_pt83, section83, and township83. The latitude and longitude values in the pro_pt83 table were transformed from geographic NAD27 coordinates to geographic NAD83 coordinates using NADCON for Alaska. The Informix Section83 table is a spatially-enabled table that contains all of the protraction information for each of the 655,483 sections. Section shapes are stored as NAD83 geographic multipolygons. Each section was individually constructed from NAD83 geographic pro_pt (Protracted Point) table and is fully densified by including all township/section offset corners from adjacent township/sections.

cited responsible party - originator

organisation Name  U.S. Dept. of Interior, Bureau of Land Management, Division of Support Services, Branch of Information Resource Management

cited responsible party -

organisation Name  

Contact information

Linkage for online resource

URL: http://sdms.ak.blm.gov/sdms/data_protracted_grid_gis.html

source

source description  Source Contribution: ContoursSource Type digital data

representative resolution scale:

Scale denominator: 24000

source citation

Title Hypsography

publication  Date   2000-10-01

presentationForm  mapDigital

other Citation Details  This contour featureclass was generated from the 1/3 arc-second version of the National Elevation Dataset (NED). The intended viewing scale for these features is 1:24,000. The contours are derived from a filtered elevation raster to achieve smoother arcs. The NED data were 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 US Topo digital mapping program. The raster data source of contours is the National Elevation Dataset (NED) 1/3 arc-second layer. The 1/3 arc-second NED contains resampled data from the 1/9 arc-second layer of NED. 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 NED 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.

cited responsible party - originator

organisation Name  USGS - National Elevation Dataset is a component of a comprehensive base geospatial data model.

cited responsible party -

organisation Name  

Contact information

Linkage for online resource

URL: http://ned.usgs.gov/

source

source description  Source Contribution: National Landcover Dataset; National Hydrography Dataset; National Transportation DatasetSource Type digital data

representative resolution scale:

Scale denominator: 24000

source citation

Title Land Cover - Woodland

publication  Date   2012-01-01

presentationForm  mapDigital

other Citation Details  The Woodland Tint is a derivative land cover product created using several national map layers: three National Land Cover Database (NLCD) 2001 raster layers (Tree Canopy, Imperviousness, and Land Cover); and two vector layers (National Hydrography Dataset and Transportation). The process begins with masking the NLCD 2001 Canopy Data with NLCD 2001 Imperviousness V1 (values from 1-100), and Land Cover V1 (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.

cited responsible party - originator

organisation Name  U.S. Geological Survey

cited responsible party -

organisation Name  

Contact information

Linkage for online resource

URL: http://nationalmap.usgs.gov

source

source description  Source Contribution: 2.5-minute geographic ticks, U.S. National Grid, UTM grid, State Plane Coordinate System ticks.Source Type raster data

source citation

Title Grids and Coordinate System

publication  Date   9999-01-01

other Citation Details  U.S. National Grid, UTM grid, and State Plane Coordinate System values are displayed along the map projection. State Plane Coordinate System State and Zone values are abbreviated per Appendix A in the following document: Stem, J.E., 1990, 'State Plane Coordinate System of 1983', NOAA Manual NOS NGS 5, available at http://www.ngs.noaa.gov/PUBS_LIB/ManualNOSNGS5.pdf.

cited responsible party - originator

organisation Name  U.S. Geological Survey

AbsoluteExternalPositionalAccuracy

name Of Measure Horizontal Positional Accuracy Report

evaluation Method Description  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.

AbsoluteExternalPositionalAccuracy

name Of Measure Vertical Positional Accuracy Report

evaluation Method Description  The accuracy of the National Elevation Dataset (NED) is inherited from the source digital elevation models (DEMs). The overall absolute vertical accuracy expressed as the root mean square error (RMSE) is 2.44 meters. The measured vertical RMSE was converted to equivalent NMAS and NSSDA expressions. The accuracy is expressed in terms of the National Map Accuracy Standards (NMAS), which use a 90 percent confidence interval, and in terms of the National Standard for Spatial Data Accuracy (NSSDA), which uses a 95 percent confidence interval.

Completeness Commission

evaluation Method Description  Each layer of the GeoPDF is extracted from the USGS national geospatial databases. These data are intended to be cartographically complete at a 1:24,000 scale.

Completeness Omission

evaluation Method Description  Each layer of the GeoPDF is extracted from the USGS national geospatial databases. These data are intended to be cartographically complete at a 1:24,000 scale.

ConceptualConsistency

measure Description  This product is a layered GeoPDF file. GeoPDF is a copyright format with implementation rights held exclusively by TerraGo Technologies. This design is based on use of specific commercial software systems therefore any changes to the software specifications and dependencies will be followed by the USGS and codified in the product standard.