U.S. Geological Survey
20150312
USGS US Topo 7.5-minute map for Wiley Well, CA 2015
map, raster digital data
Rolla, MO and Denver, CO
USGS - National Geospatial Technical Operations Center (NGTOC)
U.S. Geological Survey
2018
US Topo Historical
https://www.sciencebase.gov/catalog/item/5061bc99e4b0ce47085a8d03
Layered GeoPDF 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 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. The geospatial data in this map are from selected National Map data holdings and other government sources.
GNIS Cell ID = 72068; {"inventory":"98ba4138-4da3-0acc-de9e-def197e8fded","cellId":72068,"scale":24000,"pageWidth":24,"pageHeight":29}
1950
2015
publication date
Irregular
-115
-114.875
33.5
33.375
ISO 19115 Topic Category
imageryBaseMapsEarthCover
EarthCover
Imagery and Base Maps
None
topographic
transportation
structures
geographic names
hydrography
boundary
Public Land Survey System
woodland
orthoimage
contour
U.S. National Grid
Geographic Names Information System
US
United States
California
Riverside
Imperial
None
Wiley Well, CA
The National Map Type Thesaurus
Downloadable Data
The National Map Theme Thesaurus
Map
The National Map Collection Thesaurus
US Topo Historical
US Topo
The National Map Product Extent Thesaurus
7.5 x 7.5 minute
The National Map Product Format Thesaurus
GeoPDF
None
This product may be freely copied, redistributed, and printed. Most content is derived from public domain data with no reuse constraints. The following data layers are from commercial sources and are not public domain: 1) road layer for all maps (except in National Forests) published after mid-2010 in the conterminous 48 states, Hawaii, and Puerto Rico/Virgin Islands, 2) road layer in some Alaska maps, depending on map vintage and coverage area, 3) orthoimages in Alaska, and 4) orthoimages in Hawaii. These layers are copyrighted and have some reuse restrictions; see the relevant data source sections (srcinfo tag) in this file. Users should be aware that temporal changes may have occurred since these data were collected and some data may no longer represent actual surface conditions.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.
https://prd-tnm.s3.amazonaws.com/StagedProducts/Maps/USTopo/PDF/CA/CA_Wiley_Well_20150312_TM_tn.jpg
Thumbnail JPG image of map
JPEG
Cartographic content is derived from USGS national geospatial databases. The data is owned and hosted by the USGS, but does not preclude using data sources owned and hosted by other organizations, provided that these sources have been approved by the USGS data program.
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.
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.
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.
Vertical accuracy report: US Topo contours are derived from the USGS National Elevation Dataset (NED). Accuracy of the NED is inherited from various sources of digital elevation models used to populate the NED. These data sources vary in vertical accuracy depending on collection method, control accuracy and density, and local terrain relief. The overall absolute vertical accuracy of the NED, as tested against HARN control elevations, is 4.78 meters at 95% confidence level (National Standards for Spatial Data Accuracy). US Topo contours are derived from the NED 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.
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.
20120423
Orthoimagery - CONUS
Raster digital data or Digital Orthorectified Image or NAIP Digital Ortho Photo Image or Raster digital data or Digital Orthorectified Image
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. The NAIP image in this product is public domain with no reuse constraints.
http://www.fsa.usda.gov/
24000
digital data
20120423
20120423
publication date
Imagery
Image
HERE
2014
Transportation, commercial roads
Vector digital data
HERE road data, licensed to the USGS for use in US Topo (1:24,000-scale topographic maps in GeoPDF format). HERE 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. Derived images that include the roads may also be freely copied and distributed, provided HERE is properly credited as the data source. HERE data are filtered and may be generalized by USGS for portrayal in this product. HERE roads are not mixed with other road data sources within a 7.5-minute US Topo quadrangle, with the exception of U.S. Forest Service lands, where public domain data from the Forest Service are used.
http://here.com
24000
digital data
2013
2014
publication date
Roads - HERE
Road centerlines, route numbers, road classification, street names
USFS
2015
Transportation, USFS FSTopo roads
Vector digital data
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.
http://www.fs.fed.us/gstc/
24000
digital data
2012
2015
publication date
Roads - USFS FSTopo
Road centerlines, route numbers, road classification, street names
Various government agencies and volunteer organizations
2014
Recreational Trails
Vector digital data
The first recreational trails were added to US Topo maps in 2013. The data for trails come from a variety of sources. Accuracy and currency is the responsibility of the data owner; USGS evaluates the authoritativeness of the source but does not independently verify data accuracy. Trails are not complete, and will not be complete for the foreseeable future. Trails will be added as data become available from land management agencies and other authoritative sources. All recreational trails information presented on US Topo maps is public domain, though the original source data is not necessarily public domain. This metadata section documents all data sources for all maps, not this specific map. Trails listed here are not guaranteed to be present on all relevant maps, due to schedule differences between data delivery and US Topo production schedules. Feature-level metadata is not provided in the US Topo product; there is no link between a line on the map and the source of that specific trail. Notes on data sources follow --------- For the 11 National Scenic Trails (NST): Ice Age National Scenic Trail: data provided by the volunteer organization Ice Age Trail Alliance, http://www.iceagetrail.org, in cooperation with National Park Service and Wisconsin Department of Natural Resources. -- Pacific Crest National Scenic Trail: unpublished data provided by US Forest Service -- Appalachian National Scenic Trail: data published by the Appalachian Trial Conservancy, http://appalachiantrail.org/about-the-trail/mapping-gis-data, in cooperation with National Park Service -- North Country National Scenic Trail: unpublished dataset provided by National Park Service -- Arizona National Scenic Trail: data from AZGEO Clearinghouse, https://azgeo.az.gov/azgeo/, in cooperation with U.S. Forest Service -- Pacific Northwest National Scenic Trail: unpublished data provided by US Forest Service -- Natchez Trace National Scenic Trail: unpublished dataset provided by National Park Service ---------- For other trail types and sources: US Fish and Wildlife Service lands: the USFWS Hiking Trails Inventory is administered by the US Department of Transportation Federal Highway Administration, and Pacific Western Technologies, LTD. The purpose of the dataset is to create a baseline inventory of all non-motorized trails on US Fish and Wildlife Service Stations. -- US Forest Service lands: trails within National Forests are from unpublished data provided by USFS. These data are developed from sources of differing accuracy. US Topo does not portray access and travel management information indicating which trails are managed for or open to specific modes of travel (motorized/non-motorized) or associated seasons of use. USFS trails (other than selected NSTs described above) are currently shown on US Topo only in Colorado. -- The International Mountain Bicycling Association, IMBA, shares their bicycle trails data with USGS as part of an ongoing partnership. IMBA-collected trails are generally not shown inside delineated Federal lands (e.g., National Forests) on US Topo maps.
http://www.nps.gov/ncrc/programs/nts/nts_trails.html
http://www.pnts.org
http://www.fws.gov/gis/data/national/
https://www.imba.com/
24000
digital data
2006
2014
publication date
Recreational Trails
Trail centerline
Oak Ridge National Laboratory
2014
Transportation, Railroads
Vector digital data
Railroads are derived from an unpublished data set provided to USGS by Oak Ridge National Laboratory (ORNL) Geographic Information Science and Technology Group (GIST). Following is an excerpt from the GIST description of the data set; the original data contain attributes not used by US Topo: The rail lines layer represents the freight lines of the nation's railroad system. The data set covers all 50 states and the District of Columbia, as well as territories and possessions of the United States. No rail lines exist in American Samoa, Guam, Northern Mariana Islands, and the Virgin Islands of the US. Phase 1 of this product is a completed deliverable. This phase involved adding and validating network attribute data including railroad ownership, trackage and haulage rights, operational status, operating subdivisions, signaling systems, track class and traffic density. Phase 2 adjusted the topological alignment of the track using the best available remote sensing imagery. Information originally based on the Department of Transportation (DOT) Federal Railroad Administration (FRA) 1:100K rail network. The data have been updated by Oak Ridge National Laboratory (ORNL) Geographic Information Science and Technology Group (GIST).
24000
digital data
2014
2014
publication date
Railroads - Oak Ridge National Laboratory
Main track centerlines
Federal Aviation Administration
2015
Airports
Vector digital data
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.
http://www.faa.gov
24000
digital data
2013
2015
publication date
Transportation - Airports
runways
State and Federal Partners
2015
Fire Stations
Vector digital data
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.
http://nationalmap.gov
24000
digital data
2007
2015
ground condition
Structures - Fire Stations
Geographic features and feature names
State and Federal Partners
2015
Hospitals
Vector digital data
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.
http://nationalmap.gov
24000
digital data
2005
2015
ground condition
Structures - Hospitals
Geographic features and feature names
State and Federal Partners
2015
Schools
Vector digital data
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.
http://nationalmap.gov
24000
digital data
2008
2015
ground condition
Structures - Schools
Geographic features and feature names
U.S. Geological Survey
2015
Cemeteries
Vector digital data
The Geographic Names Information System (GNIS) is the Federal and national standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS in support of the U.S. Board on Geographic Names as the official repository of domestic geographic names data, the official vehicle for geographic names use by all departments of the Federal Government, and the source for applying geographic names to Federal electronic and printed products. Cemeteries are one feature from the GNIS data base.
http://geonames.usgs.gov/
24000
digital data
2013
2015
publication date
Structures - Cemeteries
Geographic features and feature names
U.S. Geological Survey
2014
National Cemetery
Vector digital data
National Cemeteries are under the jurisdiction of the National Cemetery Administration (NCA), U.S. Department of Veterans Affairs. The NCA provided USGS with a list of National Cemeteries to show in USGS spatial data products. Boundaries for these cemeteries for 1:24,000 scale maps were created by USGS using parcel data and aerial imagery. National Cemetery names are also stored in the USGS Geographic Names Information System (GNIS).
http://geonames.usgs.gov/
http://www.cem.va.gov/
24000
digital data
2013
2014
publication date
National Cemetery
Geographic features and feature names
U.S. Geological Survey
2015
Post Offices
Vector digital data
The Geographic Names Information System (GNIS) is the Federal and national standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS in support of the U.S. Board on Geographic Names as the official repository of domestic geographic names data, the official vehicle for geographic names use by all departments of the Federal Government, and the source for applying geographic names to Federal electronic and printed products. Post Offices are one feature from the GNIS data base.
http://geonames.usgs.gov/
24000
digital data
2013
2015
publication date
Structures - Post Offices
Geographic features and feature names
State and Federal Partners
2015
Law Enforcement
Vector digital data
Includes locations where sworn officers of a law enforcement agency are regularly based or stationed, primarily local police station locations. State and federal law enforcement agencies are generally excluded from this dataset.
http://nationalmap.gov
24000
digital data
2005
2015
ground condition
Structures - Law Enforcement
Geographic features and feature names
State and Federal Partners
2015
Prisons
Vector digital data
Includes government operated prisons and facilities privately operated for the government such as medium and high security prisons and correctional institutions. Low and minimum security institutions such as local jails, prison camps, correctional farms or work farms, detention and treatment centers are excluded.
http://nationalmap.gov
24000
digital data
2007
2015
ground condition
Structures - Prisons
Geographic features and feature names
U.S. Geological Survey
2015
Geographic Names Information System (GNIS)
Vector digital data
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.
http://geonames.usgs.gov/
24000
digital data
2015
2015
publication date
Geographic Names
Geographic feature names
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.
20120423
Hydrography
Vector digital data
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.
http://nhd.usgs.gov/
http://nhd.usgs.gov/gnis.html
24000
digital data
20120423
20120423
publication date
Hydrography
Hydrography features and feature names
U.S. Geological Survey
2012
Gaging Stations
Vector digital data
This dataset provides the location of approximately 10,000 active stream gages maintained by the U.S. Geological Survey (USGS). This data is a subset of National Water Information System (NWIS) stream gages available in all U.S. States and Territories. Only Active stations with either Partial or Continuous records for water year 2012 are symbolized.
http://waterdata.usgs.gov/nwis/
http://waterdata.usgs.gov/nwis/rt
24000
digital data
2012
2012
publication date
Hydrography - Gaging Stations
Hydrography features and gaging stations
Global Land Ice Measurements from Space initiative (GLIMS)
2012
Glaciers - Alaska
Vector digital data
The Randolph Glacier Inventory (RGI 2.0) is a global inventory of glacier outlines. It is supplemental to the Global Land Ice Measurements from Space initiative (GLIMS). Production of the RGI was motivated by the forthcoming Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR5). Updates beyond the IPCC 2012 deadlines will take the form of additions to the GLIMS Glacier Database. As resources allow, all these data will be incorporated into the GLIMS Glacier Database. The RGI data are used without alteration by the U.S. Geological Survey for US Topo maps and are not yet integrated with other hydrography features from USGS datasets. Glacier names are from the Geographic Names Information System (GNIS). RGI polygon boundaries are not shown in the US Topo representation.
http://www.glims.org/RGI/randolph.html
http://www.glims.org/RGI/RGI_Tech_Report_V2.0.pdf
50000
digital data
2010
2012
publication date
Hydrography - Glaciers
Hydrography features and glaciers
International Boundary Commission
2014
Vector digital data
U.S.-Canada National Boundary
The boundary is a digital representation of the International boundary between the United States and Canada as per the Treaty of 1908. It has been generated from a combination of recent surveys and datum conversions. It is intended for general mapping purposes only. The boundary dataset is composed of 29 segments that correspond to the original 256 boundary maps. Attributes of each segment define the scale in which the line in that area may be accurately depicted. It is produced for mapping purposes only and not intended to illustrate the boundary beyond the limits of the scale for any given segment.
http://www.internationalboundarycommission.org/
http://www.internationalboundarycommission.org/products.html#nad83
24000
digital data
2014
2014
publication date
U.S. / Canada International Boundary
International Boundary between Canada and the United States
U.S. Geological Survey, U.S. Department of Agriculture, and the Instituto Nacional de Estadística y Geografía of Mexico.
2006
Vector digital data
U.S.-Mexico National Boundary
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 Estadística y Geografía 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/Río 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/Río 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.
http://borderhealth.cr.usgs.gov/projectindex.html
http://extract.cr.usgs.gov/BorderHealth/Boundaries/Int_Boundary/International_Boundary_Shapefile.zip
24000
digital data
1972
2006
publication date
U.S. / Mexico International Boundary
International Boundary between Mexico and the United States
U.S. Department of Agriculture (USDA) Forest Service - Washington Office Automated Lands Program (ALP).
2014
Vector digital data
USDA Forest Service Boundary
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.
24000
digital data
2014
2014
publication date
USDA Forest Service Boundaries
National Forest Service Boundaries
U.S. Census Bureau
2014
Vector digital data
State and Equivalent Boundary
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.
http://www.census.gov/geo/www/tiger/index.html
ftp://ftp2.census.gov/geo/tiger/TIGER2012/STATE/
http://www.census.gov/geo/www/bas/bashome.html
24000
digital data
2013
2014
publication date
State Boundaries
State and Equivalent Boundary
U.S. Census Bureau
2014
Vector digital data
County and Equivalent Boundary
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.
http://www.census.gov/geo/www/tiger/index.html
ftp://ftp2.census.gov/geo/tiger/TIGER2012/COUNTY/
http://www.census.gov/geo/www/bas/bashome.html
24000
digital data
2013
2014
publication date
County Boundaries
County and Equivalent Boundary
Office of the Deputy Under Secretary of Defense for Installations and Environment, Business Enterprise Integration Directorate
2011
U.S. Military Installations, Ranges, and Training Areas
vector digital data
This dataset depicts the authoritative boundaries of the most commonly known Department of Defense (DoD) sites, installations, ranges, and training areas in the United States and Territories. These sites encompass land which is federally owned or otherwise managed. This dataset was compiled by the Defense Installation Spatial Data Infrastructure (DISDI) Program. This dataset represents the baseline for georeferenced boundaries of sites selected from the 2010 Base Structure Report. The boundary locations are intended for planning purposes only and do not represent the legal or surveyed land parcel boundaries. This list does not necessarily represent a comprehensive collection of all DoD facilities, and only those in the fifty United States and US Territories were considered for inclusion. Maps produced at a scale of 1:50,000 or larger which otherwise comply with National Map Accuracy Standards will remain compliant if this data is incorporated. Although these data have been provided by the DoD components, no warranty expressed or implied is made regarding the utility of the data on any other system, in derived products or data alterations, nor shall the act of distribution constitute such warranty.
http://www.acq.osd.mil/ie/index.shtml
http://geo.data.gov/geoportal
50000
digital data
2011
2011
publication date
U.S. Department of Defense Military Installations
Boundary lines, installation names
National Park Service - Land Resources Division
2014
National Park Service Boundary
Vector digital data
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.
https://irma.nps.gov/App/Portal
24000
digital data
2002
2014
publication date
National Park Service Boundary
Current Administrative Boundaries of the National Park System Units
US Fish and Wildlife Service
2012
Simplified FWS Boundaries
Vector digital data
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.
http://www.fws.gov/GIS/data/CadastralDB/FWS_Simplified_Boundaries.zip
63360
digital data
1950
2012
publication date
U. S. Fish and Wildlife Service Boundary
Boundary polygons and names
U.S. Dept. of Interior, Bureau of Land Management, Division of Support Services, Branch of Information Resource Management
2011
Public Land Survey System
Vector digital data
General: US Topo maps are not legal documents. The PLSS information shown on these maps is for general reference purposes only, and should not be used to determine legal boundaries or land ownership. The Bureau of Land Management (BLM) is the authoritative source for PLSS information at the federal level, and the US Topo representation is derived from BLM GIS data files. The management of these data is not completely uniform throughout the country. Although this metadata record is included with all maps, PLSS is currently shown on US Topo maps in only a few states. PLSS will be added to US Topo maps in more states in the coming years. 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. 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.
http://www.geocommunicator.gov/geocomm/lsis_home/home/index.htm#plss
24000
digital data
2011
2011
publication date
Public Land Survey System - BLM
Townships and ranges, sections
USGS - National Elevation Dataset is a component of a comprehensive base geospatial data model.
20050401
Hypsography
Vector digital data
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.
http://ned.usgs.gov/
24000
digital data
20050401
20050401
publication date
Hypsography
Contours
U.S. Geological Survey
2014
Land Cover - Woodland
Vector digital data
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 USFS Tree Canopy cartographic product with NLCD 2011 Percent Developed 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 Alaska, the Woodland Tint is a derivative land cover product created using five national map layers: one raster layer, National Land Cover Database (NLCD) 2001 (Land Cover); and two vector layers (National Hydrography Dataset and Transportation). The process begins with combining three NLCD 2001 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.
http://nationalmap.gov
24000
digital data
2014
2014
publication date
Land Cover - Woodland
National Landcover Dataset; National Hydrography Dataset; National Transportation Dataset
U.S. Geological Survey
20050401
Shaded Relief
raster digital data
The Shaded relief is a derivative elevation product created from the National Elevation Dataset (NED) 1/3 arc second. 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.
24000
digital data
20050401
20050401
publication date
Imagery Shaded Relief
National Elevation Dataset
U.S. Geological Survey
2012
Grids and Coordinate System
Geographic Coordinate, 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.
24000
raster data
2013
2013
publication date
Grids and Coordinate Systems
2.5-minute geographic ticks, U.S. National Grid, UTM grid, State Plane Coordinate System ticks.
The GeoPDFs for this product are created as follows. All geospatial content is taken from national geospatial databases under the stewardship of USGS data programs. The NAIP imagery is provided by a seamless tile service that delivers image data at the resolution and quality of the source imagery. The raster and vector data, including grids and collar information, are processed using ESRI ArcGIS software and exported as a GeoPDF using the TerraGo ArcGIS software extension. Map formatting is performed using a custom application, which includes post-processing to embed the metadata XML document. GeoPDF is a copyrighted format, with implementation rights held exclusively by TerraGo Technologies. 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.
20150312
Raster
Universal Transverse Mercator
11
0.9996
-117
0.0
500000
0.0
coordinate pair
2
2
meters
North American Datum of 1983
Geodetic Reference System 80
6378137
298.2572221
North American Vertical Datum of 1988
3
meters
Explicit elevation coordinate included with horizontal coordinates
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.
National Geospatial Program US Topo Product Standard, 2011.
U.S. Geological Survey
mailing and physical
Box 25046 Denver Federal Center
Lakewood
CO
80225
1-888-ASK-USGS (1-888-275-8747)
usgsstore@usgs.gov
Downloadable Data
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.
GeoPDF
22.009814
https://prd-tnm.s3.amazonaws.com/StagedProducts/Maps/USTopo/PDF/CA/CA_Wiley_Well_20150312_TM_geo.pdf
None
20210706
U.S. Geological Survey, National Geospatial Technical Operations Center
Not Provided
mailing and physical
1400 Independence Road
Rolla
MO
65401
mailing and physical
Box 25046 Denver Federal Center
Lakewood
CO
80225
1-888-ASK-USGS (1-888-275-8747)
http://www.usgs.gov/ask/
Monday through Friday 8:00 AM to 4:00 PM
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.
FGDC Content Standard for Digital Geospatial Metadata
FGDC-STD-001-1998