MAPPING
drrckmaplnney
MountSaintHelens.pdf
Mount Mitchell
Spirit Lake East
Elk Rock
Smith Creek Butte
Cedar FlatsCougar
Spirit Lake West
Mount Saint
Helens Goat
Mountain
ADJOINING 7.5' QUADRANGLES
Imagery................................................NAIP, January 2010 Roads..............................................©2006-2010 Tele Atlas Names...............................................................GNIS, 2010 Hydrography.................National Hydrography Dataset, 2010 Contours............................National Elevation Dataset, 2010
USGS: USFS:
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T8N R4E
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T7N R5E
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NAT FOR
DEV RD 8303
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GIFFORD PINCHOT NATIONAL FOREST
GIFFORD PINCHOT NATIONAL FOREST
GIFFORD PINCHOT NATIONAL FOREST
SK AM
AN IA
CO CO
W LI
TZ CO
CO W
LI TZ
CO SK
AM AN
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CO W
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Shoestring Glacier
Crater Glacier
Nelson Glacier
Forsyth Glacier
Ape Glacier
Talus Glacier
Swift Glacier
Dryer Glacier
Toutle Glacier
Loowit Falls
S Fork Toutle River
Sw ift
Cr
Sw ift
Cr
Muddy Rive r
Pine Cr
N Fork Toutle River
S Fork Toutle River
Muddy River Spirit Lake
Swift Creek Flow
Lava Dome
Worm Flows
Floating Island
Lava Flow
1980 Crater
Sheep Canyon
Ape Canyon
Butte Camp Dome
Pumice Butte
Alpine Butte
Dogs Head
Mt Saint Helens
E Dome
Windy Ridge
Monitor Ridge
Crescent Ridge
Studebaker Ridge
Windy Ridge
Windy Ridge
Windy Ridge Viewpoint
Windy Ridge Viewpoint
Windy Pass
The Breach
Bedrock Pass
Plains of AbrahamSugar
Bowl
Sasquatch Steps
Pumice Plain
62
12'
5
09
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5 61
51
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FEET
46°
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51
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5635 66
N
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51
WASHINGTON
QUADRANGLE LOC ATION
U.S. DEPARTMENT OF THE INTERIOR U. S. GEOLOGICAL SURVEY
MOUNT SAINT HELENS QUADRANGLE WASHINGTON
7.5-MINUTE SERIES
MOUNT SAINT HELENS, WA 2013
ROAD CLASSIFICATION
Check with local Forest Service unit for current travel conditions and restrictions.
FS Primary Route FS High Clearance Route FS Passenger
RouteJ K L
Interstate Route State RouteUS RouteWX ./ H
Expressway Local Connector
Ramp 4WD Secondary Hwy Local Road
MOUNT SAINT HELENS, WA 2013
Expressway Local Connector ROAD CLASSIFICATION
Ramp 4WD Secondary Hwy Local Road
Interstate Route State RouteUS RouteWX ./ H
Imagery<IMG_LEADER><IMG_CITATION> Roads<TRANS_LEADER>©2006-2013 TomTom Names<GNIS_LEADER>GNIS, 2013 Hydrography<HYDRO_LEADER>National Hydrography Dataset, <HYDRO_DATE> Contours<HYPSO_LEADER><HYPSO_CITATION> Boundaries....................Census, IBWC, IBC, USGS, 1972 - 2012 <OPTIONAL_CITATIONS>
North American Datum of 1983 (NAD83) World Geodetic System of 1984 (WGS84). Projection and 1 000-meter grid: Universal Transverse Mercator, Zone 10T
Produced by the United States Geological Survey
10 000-foot ticks: Washington Coordinate System of 1983 (south 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 10T
Produced by the United States Geological Survey
10 000-foot ticks: Washington Coordinate System of 1983 (south 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...............................................NAIP, August 2011 Roads..............................................©2006-2013 TomTom Roads within US Forest Service Lands.............FSTopo Data with limited Forest Service updates, 2013 Names...............................................................GNIS, 2013 Hydrography....................National Hydrography Dataset, 2011 Contours............................National Elevation Dataset, 1999 Boundaries....................Census, IBWC, IBC, USGS, 1972 - 2012 Public Land Survey System..................................BLM, 2011
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 0.6.15
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
1
1000 0 1000 2000 3000 4000 5000 6000 7000 8000 9000 10000 FEET
U.S. National Grid 100,000-m Square ID
Grid Zone Designation
ES
10T
×
Ù MN
GN
UTM GRID AND 2013 MAGNETIC NORTH DECLINATION AT CENTER OF SHEET
0° 35´ 10 MILS
16° 3´ 285 MILS
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.
13SEPT2013,ver3.0
Lock Chamber/Spillway
Rock X
Spring E'
Waterfall
Well
Canal/Ditch
Earthen Dam Nonearthen Dam
Levee
Rapids
HYDROGRAPHY
Underground Pipeline
13SEPT2013,ver3.0
STRUCTURES
Cemetery #"!
Fire Station F
Hospital H
School
Post Office
n
POPO
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«240 420
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
LAND COVER
Woodland
13SEPT2013,ver3.0
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 20131219 US Topo 7.5-minute map for Mount Saint Helens, WA 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 = 30793 1950 2013 publication date Complete Irregular -122.25 -122.125 46.25 46.125 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 Washington Skamania Cowlitz None Mount Saint Helens, WA 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) roads in all areas, 2) orthoimages in Alaska, and 3) 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 this data for critical applications without a full awareness of its 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. 20110816 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 20110816 20110816 publication date Imagery Image TomTom 2013 Transportation, commercial roads Vector digital data TomTom Multinet dataset, licensed to the USGS for use in US Topo (1:24,000-scale topographic maps in GeoPDF format). TomTom retains copyright to these data. The USGS license allows these data to be freely used and redistributed in US Topo instances, provided this copyright notice is retained. TomTom data are filtered and may be generalized by USGS for portrayal in this product. TomTom roads are not mixed with other road data sources within a 7.5-minute quadrangle, with the exception of U.S. Forest Service lands, where public domain data from the Forest Service are used. http://www.tomtom.com 24000 digital data 2006 2013 publication date Roads - TomTom Road centerlines, route numbers, road classification, street names USFS 2013 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 2009 2013 publication date Roads - USFS FSTopo Road centerlines, route numbers, road classification, street names Various government agencies and volunteer organizations 2013 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 24000 digital data 2006 2013 publication date Recreational Trails Trail centerline Federal Railroad Administration 2012 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. 24000 digital data 2012 2012 publication date Railroads - Federal Railroad Administration Main track centerlines Federal Aviation Administration 2012 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 2011 2012 publication date Transportation - Airports runways State and Federal Partners 2012 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 2006 2012 ground condition Structures - Fire Stations Geographic features and feature names State and Federal Partners 2013 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 2006 2013 ground condition Structures - Hospitals Geographic features and feature names State and Federal Partners 2008 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 2008 ground condition Structures - Schools Geographic features and feature names U.S. Geological Survey 2013 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 2013 publication date Structures - Cemeteries Geographic features and feature names U.S. Geological Survey 2013 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 2013 publication date Structures - Post Offices Geographic features and feature names State and Federal Partners 2013 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 2013 ground condition Structures - Law Enforcement Geographic features and feature names State and Federal Partners 2013 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 2006 2013 ground condition Structures - Prisons Geographic features and feature names U.S. Geological Survey 2013 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 2013 2013 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. 20110816 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 20110816 20110816 publication date Hydrography Hydrography features and feature names U.S. Geological Survey 2011 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 24000 digital data 2011 2011 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 2006 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 24000 digital data 2006 2006 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). 2012 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 2012 2012 publication date USDA Forest Service Boundaries National Forest Service Boundaries U.S. Census Bureau 2012 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 2012 2012 publication date State Boundaries State and Equivalent Boundary U.S. Census Bureau 2012 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 2012 2012 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 2013 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 2013 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. 19990407 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 19990407 19990407 publication date Hypsography Contours U.S. Geological Survey 2013 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. http://nationalmap.gov 24000 digital data 2001 2013 publication date Land Cover - Woodland National Landcover Dataset; National Hydrography Dataset; National Transportation Dataset U.S. Geological Survey 19990407 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 19990407 19990407 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. 20131219 Raster Universal Transverse Mercator 10 0.9996 -123 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. 20131219 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
