6-007959 Chap7 Maps.pdf

Morgan Faulkner Pencil

Morgan Faulkner Pencil

Imagery................................................NAIP, January 2010 Roads..............................................©2006-2010 Tele Atlas Names...............................................................GNIS, 2010 Hydrography.................National Hydrography Dataset, 2010 Contours............................National Elevation Dataset, 2010

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MARSING BENCH RD

GAME FARM

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CONSUMERS RD

CONSUMERS RD

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SPRING

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CIOCHETTO

C ANYON RD

SHOOTERS ALLEY RD

N CASTLE GATE RD

W SPRING CANYON RD

Oak Spring

N Fork GordonCr

Price River

N Fork Gordon Cr

Price River

Cedar Bench

Helper

Standardville

Peerless

Royal

Wildcat

Latuda

Storrs

Trail Canyon

Hardscrabble Canyon

Hardscrabble Canyon

Gentile Wash

Garley Canyon

Left Fork Spring Canyon

Rains Canyon

Spring Canyon

Burnt Tree Fork

Ciochetto Canyon

Sowbelly Gulch

Robinson Gulch

Consumers Wash

Price Canyon

Gilson Gulch

Wildcat Canyon

Bear Canyon

Ford Ridge

Mutual

Rains

The Castle Gate

Bull Point

FEET

39°

30"

30"

42'

30"

000m

111°

30"

30"

57'

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500'

40'

03 45'

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000m 110°

UTAH

QUADRANGLE LOCATION

STANDARDVILLE QUADRANGLE

UTAH-CARBON CO.

7.5-MINUTE SERIES

STANDARDVILLE, UT

Expressway Local Connector

ROAD CLASSIFICATION

Ramp 4WD Secondary Hwy Local Road

Interstate Route State RouteUS RouteWX ./ H

STANDARDVILLE, UT

ROAD CLASSIFICATION

Check with local Forest Service unit for current travel conditions and restrictions.

FS Primary Route FS High Clearance Route

FS Passenger Routeª« - ▬

Interstate Route State RouteUS RouteWX ./ H

Expressway Local Connector

Ramp 4WD Secondary Hwy Local Road

This map was produced to conform with the National Geospatial Program US Topo Product Standard, 2011.

A metadata file associated with this product is draft version 0.6.16

CONTOUR INTERVAL 40 FEET

NORTH AMERICAN VERTICAL DATUM OF 1988

SCALE 1:24 000

1000 500 0 METERS 1000 2000

21KILOMETERS00.51

1 0.5 0

MILES

1000 0 1000 2000 3000 4000 5000 6000 7000 8000 9000 10000

FEET

U.S. DEPARTMENT OF THE INTERIOR

U.S. GEOLOGICAL SURVEY

1 Colton

8 Price

2 Kyune 3 Matts Summit 4 Jump Creek 5 Helper 6 Wattis 7 Pinnacle Peak

ADJOINING QUADRANGLES

1 2 3

4 5

6 7 8

Imagery...............................................NAIP, August 2011 Roads....................................................... HERE, ©2013 Names..........................................................GNIS, 2013 Hydrography....................National Hydrography Dataset, 2011 Contours............................National Elevation Dataset, 2002 Boundaries............Multiple sources; see metadata file 1972 - 2013 Public Land Survey System..................................BLM, 2011

North American Datum of 1983 (NAD83) World Geodetic System of 1984 (WGS84). Projection and 1 000-meter grid: Universal Transverse Mercator, Zone 12S

Produced by the United States Geological Survey

10 000-foot ticks: Utah Coordinate System of 1983 (central zone) This map is not a legal document. Boundaries may be generalized for this map scale. Private lands within government reservations may not be shown. Obtain permission before entering private lands.

North American Datum of 1983 (NAD83) World Geodetic System of 1984 (WGS84). Projection and 1 000-meter grid: Universal Transverse Mercator, Zone 12S

Produced by the United States Geological Survey

10 000-foot ticks: Utah Coordinate System of 1983 (central zone)

This map is not a legal document. Boundaries may be generalized for this map scale. Private lands within government reservations may not be shown. Obtain permission before entering private lands.

Imagery<IMG_LEADER><IMG_CITATION> Roads<TRANS_LEADER> HERE, ©2013 Roads within US Forest Service Lands.............FSTopo Data with limited Forest Service updates, 2013 Names...............................................................GNIS, 2013 Hydrography<HYDRO_LEADER>National Hydrography Dataset, <HYDRO_DATE> Contours<HYPSO_LEADER><HYPSO_CITATION> Boundaries............Multiple sources; see metadata file 1972 - 2013

<OPTIONAL_CITATIONS>

U.S. National Grid 100,000-m Square ID

Grid Zone Designation

WK

WJ

12S

Ù

MN

GN

UTM GRID AND 2014 MAGNETIC NORTH

DECLINATION AT CENTER OF SHEET

0° 2´

1 MILS

11° 17´

201 MILS

N

SN

N G

A R

EF

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U S

G S

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US Department of the Interior US Geological Survey

US Topo Map Symbols

What is a US Topo map?

A US Topo map is a digital topographic map that covers 7.5-minutes of longitude by 7.5-minutes of latitude and is produced at a scale of 1:24,000. US Topo maps are freely distributable and are available for download on the Web from the USGS Store (http://store.usgs.gov) in Portable Document Format (PDF) with geospatial extensions (GeoPDF®, a registered trademark of TerraGo Technologies). PDF maps can be viewed and printed with any conforming PDF software. Versions 9.x and 10.x of Adobe® Reader® and Acrobat® software provide access to the geospatial functionality of the US Topo map. Adobe Reader is available for free at http://get.adobe.com/reader. Geospa-tial functionality is enhanced with the TerraGo® Toolbar™, a plug-in to the Adobe software that may be downloaded for free at http:// usgs.terragotech.com/home. More information about US Topo maps and their use is available at http://nationalmap.gov/ustopo.

The base data layer of a US Topo map is a recent orthographic aerial photograph. These orthoimages have been corrected to remove scale distortions that result from the varying terrain and deviations of the aircraft’s position from the true vertical. The maps include contours that show the shape of the Earth’s surface, hydrographic features such as lakes and rivers, roads, boundaries, and geograph-ic names. Additional data from the geographic data themes of transportation, names, elevation, hydrography, boundaries, structures (such as fire stations) and land cover (such as woodland tint) is being added to the maps as they are updated, resulting in a product that will become progressively more robust over time. Feature data is incorporated from national Geographic Information System (GIS) databases under the stewardship of USGS data programs. The US Topo map is intended for conventional map users, not for advanced GIS analysis. However, most of the data sources used are in the public domain and may be downloaded for free from The National Map (TNM) (http://nationalmap.gov).

US Topo maps are revised on a three-year production cycle.

Symbols on US Topo Maps

The underlying orthoimage for each US Topo map shows those features on the Earth’s surface that are visible to the eye. Because each map is made at a scale of 1:24,000 (one inch on the map represents 24,000 inches or 2,000 feet on the ground), selected features are also shown and emphasized by symbols, geographic names, and highway route numbers.

Map features may be represented as points, lines, or polygons. They incorporate different colors and patterns to distinguish between feature types and to show each feature’s importance. For example, a perennial stream is symbolized by a solid blue line while an intermittent stream is shown by a blue dashed and dotted line. A large reservoir is depicted by a polygon while a small reservoir may be shown by a point symbol if it is too small to show as a polygon.

Point symbols of different shapes and sizes depict features such as structures, dams, gates, rocks, waterfalls, and wells. Linear map symbols (lines) show such features as roads, rivers, boundaries, and contours. Color is used to show the class of information: topo-graphic contours in brown, streams and rivers and other hydrographic features in blue, and roads in black and red. Areal features are outlined to depict the areal extent and may also be emphasized by a color tint. Names and labels are shown in different type fonts, sizes, and colors.

The unique feature of a topographic map is the contour. These lines do not exist on the Earth’s surface. They join points of equal eleva-tion above a zero level surface (such as Mean Sea Level) and therefore show heights of the land and reveal the shape of the land surface. Heavier brown lines are index contours and are labeled with the elevation they represent. Closely spaced contours indicate a steep land slope; widely spaced contours show more level ground. The elevation difference between adjacent contours is the contour interval. A map of a relatively flat area may have a contour interval of 10 feet. In steep areas an interval of 100 feet or more may be used to avoid coalescence or convergence of the contour lines. The contour interval is always noted below the bar scale in the map marginalia.

The cartographic representation of roads has been updated from a characterization based on organizational maintenance (Interstates, US routes, State routes, etc.) to a functional classification defined as follows:

Expressway1: A controlled access, divided arterial highway for through traffic.

Secondary Highway1: Hard surface highways including secondary State routes, primary county routes, and other highways that connect principal cities and towns, and link these places with the primary highway system.

Local Connector1: Hard surface roads not included in a higher class and improved, loose surface roads passable in all kinds of weather. These roads are adjuncts to the primary and secondary highway system and represent major arteries through populated places.

Local Road1: Roads used primarily for local traffic.

1 Federal Highway Administration Planning Glossary - http://www.fhwa.dot.gov/planning/glossary/glossary_listing.cfm.

04DEC2013,ver3.0

Lock Chamber/Spillway

Rock X

Spring E'

Waterfall

Well

Canal/Ditch

Earthen Dam Nonearthen Dam

Levee

Rapids

HYDROGRAPHY

Underground Pipeline

STRUCTURES

Cemetery #"!

Fire Station F

Hospital H

School

Post Office n

Prison

Police

State Capitol

Oil/Gas Pipeline*

TRANSPORTATION

Airport Runway

Railroad

Road Features

§̈¦25

£830

¬«470

Tunnel

Ferry

4WD

Local Road

Local Connector

Ramp

Secondary Hwy

Expressway

Road Shields

Interstate Route

US Route

State Route

Forest Service Primary Route

Forest Service Secondary Route

Forest Service High Clearance Route

ª«240

PLSS

Township/Range

Township/Range (protracted)

Section

Section (protracted)

Area of Complex Channels

Inundation Area

Flume

Airport Features

Railroad Features

Dam

Gate |

Gaging Station

Ice Mass

Trail

T 34 NT 34 NTT 334 R 79 WR 79 W79 WW7979R 7799 WWT

1 — 363636

Swimming Pool

Intermittent Lake

Perennial Lake

Pipeline

Playa

Settling Pond

Tailings Pond

Reservoir

Intermittent Stream

Perennial Stream

Submerged Stream

Nonearthen Reservoir

Wash

Tunnel

T 34 N R 79 W

1 — 363636

PO

LAND COVER

Woodland

Shaded Relief

TERRAIN

IMAGES

Orthoimage

Contour Features

Index

Intermediate

Supplemental

Depression Index

Depression Intermediate

Depression Supplemental

40004000

HYDROGRAPHY – continued

BOUNDARIES

International

State or Territory

County or Equivalent

Forest Service

Shaded Relief

Jurisdictional Boundaries

Federal Administered Lands

National Park Service

Department of Defense

Bureau of Land Management*

Fish and Wildlife Service

AIANNH Area*

*Currently on Alaska US Topo maps only

ABBREVATIONS

Note: Symbols use transparent color. When these symbols overlap, the colors blend. This alters their appearance from how they are represented in the map legend. 80008000

Hwy

AIANNH

4WD

Highway American Indian, Alaska Native, and Native Hawaiian Area Four Wheel Drive

Coastline

Reef

Nonearthen Shore

Underground Conduit

Foreshore

Estuary

Ocean

U.S. Geological Survey 20140205 US Topo 7.5-minute map for Standardville, UT map, raster digital data

Rolla, MO and Denver, CO USGS - National Geospatial Technical Operations Center (NGTOC)

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 = 42860 publication date

Complete Irregular

-111 -110.875 39.75 39.625

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 Utah Carbon

Standardville, UT

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.

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.

20110805 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

Imagery Image

HERE

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

Roads - HERE Road centerlines, route numbers, road classification, street names

USFS

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/

Roads - USFS FSTopo Road centerlines, route numbers, road classification, street names

Various government agencies and volunteer organizations

Recreational Trails Vector digital data The first recreational trails were added to US Topo maps in 2013. The data for these features come from a variety of sources. Trails are not complete, and will not be complete for the foreseeable future; the near-term objectives of the US Topo program are to show recreational trails on federal lands and those that are part of the National Trails System. Trails will be added as data become available from land management agencies and other authoritative sources. At this time all recreational trails data used for US Topo are public domain. General information about the National Trails System and its components can be found at http://www.nps.gov/ncrc/programs/nts/nts_trails.html and http://www.pnts.org and http://www.fws.gov/gis/data/national/index.html#NWRS This metadata section documents all data sources used for any map; the features and data described here are not necessarily present on this specific map. Notes on individual data sources follow -- Ice Age National Scenic Trail: one of 11 National Scenic Trails (NST). The Ice Age NST is in Wisconsin. The data used on US Topo were 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: Data used on US Topo provided by US Forest Service, and published at http://www.fs.usda.gov/detail/pct/home/ -- Pacific Northwest National Scenic Trail: data used on US Topo is an unpublished dataset provided by US Forest Service -- 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.

http://www.nps.gov/ncrc/programs/nts/nts_trails.html http://www.pnts.org http://www.fws.gov/gis/data/national/index.html#NWRS

Recreational Trails Trail centerline

Federal Railroad Administration Transportation, Railroads Vector digital data 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.

Railroads - Federal Railroad Administration Main track centerlines

Federal Aviation Administration

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

Transportation - Airports runways

State and Federal Partners

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 ground condition

Structures - Fire Stations Geographic features and feature names

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.

Structures - Hospitals

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.

Structures - Schools

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/

Structures - Cemeteries

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.

Structures - Post Offices

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.

Structures - Law Enforcement

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.

Structures - Prisons

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.

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.

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

Hydrography Hydrography features and feature names

Gaging Stations Vector digital data 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.

http://water.usgs.gov/lookup/getspatial?gagesII_Sept2011 http://water.usgs.gov/GIS/metadata/usgswrd/XML/gagesII_Sept2011.xml

Hydrography - Gaging Stations Hydrography features and gaging stations

Global Land Ice Measurements from Space initiative (GLIMS)

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

Hydrography - Glaciers Hydrography features and glaciers

International Boundary Commission

Vector digital data U.S.-Canada National Boundary 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.

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

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.

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

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).

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.

USDA Forest Service Boundaries National Forest Service Boundaries

U.S. Census Bureau

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

State Boundaries State and Equivalent Boundary

U.S. Census Bureau

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

County Boundaries County and Equivalent Boundary

Office of the Deputy Under Secretary of Defense for Installations and Environment, Business Enterprise Integration Directorate

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

U.S. Department of Defense Military Installations Boundary lines, installation names

National Park Service - Land Resources Division

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

National Park Service Boundary Current Administrative Boundaries of the National Park System Units

US Fish and Wildlife Service

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

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

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

Public Land Survey System - BLM Townships and ranges, sections

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

20020401 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/

Hypsography Contours

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) 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. 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 four vector layers (National Hydrography Dataset, Transportation Roads, Transportation Airports and Transportation Railroads). 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.

Land Cover - Woodland National Landcover Dataset; National Hydrography Dataset; National Transportation Dataset

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.

Imagery Shaded Relief National Elevation Dataset

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.

raster data

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.