U.S. Geological Survey
20130920
USGS US Topo 7.5-minute map for Barceloneta, PR 2013
map, raster digital data
Rolla, MO and Denver, CO
USGS - National Geospatial Technical Operations Center (NGTOC)
U.S. Geological Survey
2018
US Topo Historical
https://www.sciencebase.gov/catalog/item/5061bc99e4b0ce47085a8d03
Layered GeoPDF 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 = 2383; {"inventory":"8097c821-5703-dc03-d708-cab7e4bb2581","cellId":2383,"scale":20000,"pageWidth":29,"pageHeight":33.5}
1950
2013
publication date
Irregular
-66.625
-66.5
18.5
18.375
ISO 19115 Topic Category
imageryBaseMapsEarthCover
EarthCover
Imagery and Base Maps
None
topographic
transportation
structures
geographic names
hydrography
boundary
Public Land Survey System
woodland
orthoimage
contour
U.S. National Grid
Geographic Names Information System
US
United States
Puerto Rico
Barceloneta
Arecibo
Manatí
Florida
None
Barceloneta, PR
The National Map Type Thesaurus
Downloadable Data
The National Map Theme Thesaurus
Map
The National Map Collection Thesaurus
US Topo Historical
US Topo
The National Map Product Extent Thesaurus
7.5 x 7.5 minute
The National Map Product Format Thesaurus
GeoPDF
None
This product may be freely copied, redistributed, and printed. Most content is derived from public domain data with no reuse constraints. The following data layers are from commercial sources and are not public domain: 1) 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 Users should be aware that temporal changes may have occurred since these data were collected and some data may no longer represent actual surface conditions.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.
https://prd-tnm.s3.amazonaws.com/StagedProducts/Maps/USTopo/PDF/PR/PR_Barceloneta_20130920_TM_tn.jpg
Thumbnail JPG image of map
JPEG
Cartographic content is derived from USGS national geospatial databases. The data is owned and hosted by the USGS, but does not preclude using data sources owned and hosted by other organizations, provided that these sources have been approved by the USGS data program.
This product is a layered GeoPDF file. GeoPDF is a copyright format with implementation rights held exclusively by TerraGo Technologies. This design is based on use of specific commercial software systems therefore any changes to the software specifications and dependencies will be followed by the USGS and codified in the product standard.
Each layer of the GeoPDF is extracted from the USGS national geospatial databases. These data are intended to be cartographically complete at a 1:20,000 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.
U.S. Army Corps of Engineers, Jacksonville District, Geomatics Section
20110101
Orthoimagery - Puerto Rico and the U.S. Virgin Islands
Raster digital data or Digital Orthorectified Image
The source imagery was obtained from October 2009 through January 2010 and used to produce orthophotos with a 0.3 meter (approximately 1 foot) ground sample distance (GSD). The raw imagery was captured at 12-bit radiometric resolution and converted to 8-bit radiometry during post processing. The imagery was captured with the equivalent of approximately 60% forward overlap between adjacent exposures and 30% sidelap between all adjacent flight lines utilizing a Leica ADS40 digital sensor. The orthographic imagery is available as 4-band (RGBI) GeoTIFF formatted digital images. The projected coordinate system of the source imagery is State Plane Puerto Rico / US Virgin Islands (Zone 5200), NAD 83, GRS 80, Units Meters. The source imagery was then mosaiced, the fourth band was removed, the subsequent image was reprojected to UTM, NAD 83, GRS 80, Unit Meters and resampled to 1 meter GSD . Quarter Quad tiles were extracted with 300 meters over edge to prevent gaps and compressed to JPEG2000 format.
20000
digital data
20110101
20110101
publication date
Imagery
Image
TomTom
2012
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 - For Puerto Rico and the Virgin Islands only , 1:20,000-scale). TomTom retains copyright to these data. The USGS license allows these data to be freely used and redistributed in US Topo instances, provided this copyright notice is retained. TomTom data are filtered and may be generalized by USGS for protrayal in this product. TomTom roads are not mixed with other road data sources within a 7.5-minute quadrangle, with the exception of U.S. Forest Service lands, where public domain data from the Forest Service are used.
http://www.tomtom.com
20000
digital data
2006
2012
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 - For Puerto Rico and the Virgin Islands only , 1:20,000-scale. 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/
20000
digital data
2009
2013
publication date
Roads - USFS FSTopo
Road centerlines, route numbers, road classification, street names
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 (For Puerto Rico and the Virgin Islands only, 1:20,000-scale). 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.
20000
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
20000
digital data
2011
2012
publication date
Transportation - Airports
runways
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
20000
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
20000
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/
20000
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/
20000
digital data
2013
2013
publication date
Structures - Post Offices
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/
20000
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.
20110101
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. -- For Puerto Rico only, NHD data were originally captured from the 1:20,000 USGS topographic map series. These data are being continually upgraded by the USGS and partner organizations in Puerto Rico. Currency, accuracy, and resolution therefore vary.
http://nhd.usgs.gov/
http://nhd.usgs.gov/gnis.html
20000
digital data
20110101
20110101
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
20000
digital data
2011
2011
publication date
Hydrography - Gaging Stations
Hydrography features and gaging stations
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
20000
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
20000
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.
20000
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, http://www.census.gov/geo/www/bas/bashome.html), and publishes the results as TIGER files. The USGS uses the TIGER data without editing or alteration for US Topo.
http://www.census.gov/geo/www/tiger/index.html
ftp://ftp2.census.gov/geo/tiger/TIGER2010/STATE/2010/
20000
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/TIGER2010/COUNTY/2010/
http://www.census.gov/geo/www/bas/bashome.html
20000
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
20000
digital data
2002
2013
publication date
National Park Service Boundary
Current Administrative Boundaries of the National Park System Units
US Fish and Wildlife Service
2010
USFWS Simplified Wildlife Refuge Boundary
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
2010
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
Unknown
Public Land Survey System
Vector digital data
General: The Bureau of Land Management is the authoritative source for PLSS information. However, the management of these data is not completely uniform throughout the country; some variations in sources and characteristics are documented in the following sections. 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. -- For Alaska, PLSS data for US Topo in Alaska consist of protracted (computed, not surveyed) data only. Section boundaries were generated from geodetic latitude and longitude coordinate pairs as recorded on BLM's official protraction diagrams of the state of Alaska. The SDMS_PROD protraction tables were modified to include pro_pt83, section83, and township83. The latitude and longitude values in the pro_pt83 table were transformed from geographic NAD27 coordinates to geographic NAD83 coordinates using NADCON for Alaska. The Informix Section83 table is a spatially-enabled table that contains all of the protraction information for each of the 655,483 sections. Section shapes are stored as NAD83 geographic multipolygons. Each section was individually constructed from NAD83 geographic pro_pt (Protracted Point) table and is fully densified by including all township/section offset corners from adjacent ownship/sections. For more information and data on Alaska PLSS, see http://sdms.ak.blm.gov/sdms/data_protracted_grid_gis.html
http://www.geocommunicator.gov/geocomm/lsis_home/home/index.htm#plss
20000
digital data
Unknown
Unknown
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.
20100102
Hypsography
Vector digital data
The intended viewing scale for US Topo contours is approximately 1:24,000 - For Puerto Rico and the Virgin Islands only , 1:20,000-scale. US Topo contours are generated from the 1/3 arc-second layer of the National Elevation Dataset (NED). This NED layer is created using data from a variety of sources including stereoscopically-compiled contours from legacy USGS topographic maps, high-resolution stereo-compilation of mass-points and breaklines, and airborne lidar and ifsar (Alaska only) topographic measurement technologies. These sources yield varying ranges of vertical accuracy, although the USGS is continually improving the NED accuracy with ifsar and lidar derived elevations. Most US Topo contours in Alaska are derived from ifsar source which is collected to meet NMAS for only contour intervals of 20 feet or greater; however, 10 foot contour intervals are displayed on approximately 40% of Alaska quadrangles in order to provide some reasonable level of terrain detail. Alaska 10-foot interval quadrangles from ifsar contain a statement that they may not meet NMAS for that contour interval. 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 more specific information on NED source data and accuracy visit ned.usgs.gov. US Topo contour generation process: A low-pass filter is applied to the NED 1/3 arc-second data layer to smooth contours primarily in areas of lidar source. Except in areas of lidar source, the NED elevation surface is further modified to conform to flow lines and water bodies from the National Hydrography Dataset (NHD) in order to improve spatial agreement between the hypsography and updated hydrographic features. The contour lines are then interpolated from the raster grid and output in the UTM projection. 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 that some parts of these data may no longer represent actual surface conditions. Hydro-feature alignment and generalization also alter the spatial characteristics of the contours. Users should not rely on US Topo contours for high-accuracy applications, but instead, should obtain data of suitable resolution and accuracy from the NED or other sources.
http://ned.usgs.gov/
20000
digital data
20100102
20100102
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
20000
digital data
2001
2013
publication date
Land Cover - Woodland
National Landcover Dataset; National Hydrography Dataset; National Transportation Dataset
U.S. Geological Survey
20100102
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.
20000
digital data
20100102
20100102
publication date
Imagery Shaded Relief
National Elevation Dataset
U.S. Geological Survey
2012
Grids and Coordinate System
Geographic Coordinate, U.S. National Grid, and UTM grid 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.
20000
raster data
2013
2013
publication date
Grids and Coordinate Systems
2.5-minute geographic ticks, U.S. National Grid, UTM grid.
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.
20130920
Raster
Universal Transverse Mercator
19
0.9996
-69
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 1:20,000.
National Geospatial Program US Topo Product Standard, 2011.
U.S. Geological Survey
mailing and physical
Box 25046 Denver Federal Center
Lakewood
CO
80225
1-888-ASK-USGS (1-888-275-8747)
usgsstore@usgs.gov
Downloadable Data
Although these data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the accuracy or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. This disclaimer applies both to individual use of the data and aggregate use with other data. It is strongly recommended that these data are directly acquired from a U.S. Geological Survey server, and not indirectly through other sources which may have changed the data in some way. It is also strongly recommended that careful attention be paid to the contents of the metadata file associated with these data. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and/or contained herein.
GeoPDF
42.824275
https://prd-tnm.s3.amazonaws.com/StagedProducts/Maps/USTopo/PDF/PR/PR_Barceloneta_20130920_TM_geo.pdf
None
20210709
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