USGS US Topo 7.5-minute map for Orlando East, FL 2018


Identification Information:
Citation:
Citation Information:
Originator: U.S. Geological Survey
Publication Date: 20180524
Title: USGS US Topo 7.5-minute map for Orlando East, FL 2018
Geospatial Data Presentation Form: map, raster digital data
Publication Information:
Publication Place: Rolla, MO and Denver, CO
Publisher: USGS - National Geospatial Technical Operations Center (NGTOC)
Online Linkage: https://nationalmap.gov/ustopo/
Larger Work Citation:
Citation Information:
Originator: U.S. Geological Survey
Publication Date: 2018
Title: US Topo Current
Online Linkage: https://www.sciencebase.gov/catalog/item/4f554236e4b018de15819c85
Description:
Abstract: Layered geospatial PDF 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 is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
Purpose: 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.
Supplemental Information: {"gdaId" : 11626676, "cellId" : 33437, "scale" : 24000, "pageWidth" : 24, "pageHeight" : 29}
Time Period of Content:
Time Period Information:
Range of Dates/Times:
Beginning Date: 19791019
Ending Date: 20180227
Currentness Reference: publication date
Status:
Progress: Complete
Maintenance and Update Frequency: Irregular
Spatial Domain:
Bounding Coordinates:
West Bounding Coordinate: -81.25
East Bounding Coordinate: -81.375
North Bounding Coordinate: 28.625
South Bounding Coordinate: 28.5
Keywords:
Theme:
Theme Keyword Thesaurus: ISO 19115 Topic Category
Theme Keyword: imageryBaseMapsEarthCover
Theme Keyword: EarthCover
Theme Keyword: Imagery and Base Maps
Theme:
Theme Keyword Thesaurus: None
Theme Keyword: topographic
Theme Keyword: transportation
Theme Keyword: structures
Theme Keyword: geographic names
Theme Keyword: hydrography
Theme Keyword: boundary
Theme Keyword: Public Land Survey System
Theme Keyword: woodland
Theme Keyword: orthoimage
Theme Keyword: contour
Theme Keyword: U.S. National Grid
Theme:
Theme Keyword Thesaurus: The National Map Product Format Thesaurus
Theme Keyword: Geospatial PDF
Theme:
Theme Keyword Thesaurus: The National Map Type Thesaurus
Theme Keyword: Downloadable Data
Theme:
Theme Keyword Thesaurus: The National Map Theme Thesaurus
Theme Keyword: Map
Theme:
Theme Keyword Thesaurus: The National Map Collection Thesaurus
Theme Keyword: US Topo Current
Theme Keyword: US Topo
Theme:
Theme Keyword Thesaurus: The National Map Product Extent Thesaurus
Theme Keyword: 7.5 x 7.5 minute
Place:
Place Keyword Thesaurus: Geographic Names Information System
Place Keyword: US
Place Keyword: Florida
Place Keyword: Orange County
Place Keyword: Seminole County
Place:
Place Keyword Thesaurus: None
Place Keyword: Orlando East, FL
Access Constraints: None
Use Constraints: This product may be freely copied, redistributed, and printed. Most content is derived from public domain data with no reuse constraints. The primary exceptions are the orthoimage layers for maps in Alaska and Hawaii, which are copyrighted and have some reuse restrictions; see the relevant data source sections (srcinfo tag) in this file. US Topo maps with dates 2010-2015 may contain commercial road data that is also copyrighted with use restrictions; see the credit note and metadata file for individual products. Even maps that contain copyrighted data may be freely used and redistributed, provided the appropriate copyright notices are retained; normal fair-use principles apply. Users should be aware that temporal changes may have occurred since these data were collected and some data may no longer represent actual surface conditions. Users should not use these data for critical applications without a full awareness of their limitations. Acknowledgment of the U.S. Geological Survey is appreciated for products derived from these data.
Browse Graphic:
Browse Graphic File Name: https://prd-tnm.s3.amazonaws.com/StagedProducts/Maps/USTopo/PDF/FL/FL_Orlando_East_20180524_TM_tn.jpg
Browse Graphic File Description: Thumbnail JPG image of map
Browse Graphic File Type: JPEG
Data Quality Information:
Attribute Value Accuracy Information:
Attribute Accuracy Report: Cartographic content is derived from USGS national geospatial databases. Most the data are owned and hosted by the USGS, but this does not preclude using data sources owned or hosted by other organizations, provided that these sources have been approved by the USGS data program.
Logical Consistency Report: This product is a layered geospatial PDF file.
Completeness Report: Each PDF layer is derived from data extracted from USGS national geospatial databases. These data are intended to be cartographically complete at 1:24,000 scale.
Positional Accuracy:
Horizontal Positional Accuracy:
Horizontal Positional Accuracy Report: 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. However, other vector layers do generally register well with the orthoimage, which is evidence that the overall accuracy is close to meeting NMAS.
Vertical Positional Accuracy:
Vertical Positional Accuracy Report: Vertical accuracy report: US Topo contours are derived from the USGS 3D Elevation Program (3DEP) 1/3 arc-second DEM data. Accuracy of 3DEP is inherited from various sources. These data sources vary in vertical accuracy depending on time of collection, collection method, control accuracy and density, and local terrain relief. The overall absolute vertical accuracy of the 1/3 arcsecond DEM data, as tested against GPS control, is about 3 meters at 95% confidence level (National Standards for Spatial Data Accuracy). US Topo contours are derived from the DEMs 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.
Lineage:
Source Information:
Source Citation:
Citation Information:
Originator: 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.
Publication Date: Publication Date
Title: Orthoimagery - CONUS
Geospatial Data Presentation Form: Raster digital data or Digital Orthorectified Image or NAIP Digital Ortho Photo Image or Raster digital data or Digital Orthorectified Image
Other Citation Details: An orthorectified image is a layer in every product and is provided by the USDA-FSA-APFO from the National Agriculture Image Program (NAIP) 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, though resolution varies by collection date, and higher-res source data may be downsampled to 1 or 1.5 meter resolution for US Topo maps. The NAIP image in this product is public domain with no reuse constraints.
Online Linkage: https://www.fsa.usda.gov/programs-and-services/aerial-photography/imagery-programs/naip-imagery/
Source Scale Denominator: 24000
Type of Source Media: digital data
Source Time Period of Content:
Time Period Information:
Range of Dates/Times:
Beginning Date: 20151017
Ending Date: 20160201
Source Currentness Reference: publication date
Source Citation Abbreviation: Imagery
Source Contribution: Image
Source Information:
Source Citation:
Citation Information:
Originator: U.S. Census Bureau, Geography Division
Publication Date: 2014
Title: Transportation, Census Roads
Geospatial Data Presentation Form: vector digital data
Other Citation Details: Dataset source is Census Bureau MAF/TIGER database extracts in the form of TIGER/Line Shapefiles. The TIGER/Line shapefiles and related database files are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File/Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent dataset, or they can be combined to cover the entire nation. The U.S. Geological Survey filters Census roads to remove short road segments which are less than 500 feet in length, are not named and are classified as local roads. The USGS National Transportation Dataset functional road classification system is applied to the Census datasets. The original TIGER/Line Shapefile products are not copyrighted however TIGER/Line and Census TIGER are registered trademarks of the U.S. Census Bureau. The horizontal spatial accuracy information present in the TIGER/Line shapefiles is provided for the purposes of statistical analysis and census operations only and the data may not be suitable for high-precision measurement applications. Full metadata for TIGER/Line shapefiles is available from U.S. Census Bureau
Online Linkage: https://www.census.gov/geo/maps-data/data/tiger.html
Source Scale Denominator: 24000
Type of Source Media: digital data
Source Time Period of Content:
Time Period Information:
Range of Dates/Times:
Beginning Date: 20161121
Ending Date: 20161121
Source Currentness Reference: publication date
Source Citation Abbreviation: Roads - Census
Source Contribution: Road centerlines, route numbers, road classification, street names
Source Information:
Source Citation:
Citation Information:
Originator: Alaska Department of Transportation
Publication Date: 2013
Title: Transportation, public domain roads
Geospatial Data Presentation Form: Vector digital data
Other Citation Details: This record applies to Alaska data only. Roads gathered from various state and local sources, integrated by the Alaska Department of Transportation (ADOT) and provided to USGS for use in USGS map products. This specific road dataset is unpublished, but earlier versions are published on the ADOT web site.
Online Linkage: https://www.dot.state.ak.us/stwdplng/mapping/
Source Scale Denominator: 25000
Type of Source Media: digital data
Source Time Period of Content:
Time Period Information:
Range of Dates/Times:
Beginning Date: 20161121
Ending Date: 20161121
Source Currentness Reference: publication date
Source Citation Abbreviation: Roads - Alaska Department of Transportation
Source Contribution: Road centerlines, road classification, street names
Source Information:
Source Citation:
Citation Information:
Originator: Federal land management agencies
Publication Date: 2016
Title: Points of Interest
Geospatial Data Presentation Form: vector digital data
Other Citation Details: Includes campgrounds, trailheads, visitor centers. Point data was provided by various federal agencies, such as NPS, US Forest Service, BLM, US FWS.
Online Linkage: https://nationalmap.usgs.gov
Source Scale Denominator: 24000
Type of Source Media: digital data
Source Time Period of Content:
Time Period Information:
Range of Dates/Times:
Beginning Date: 2016
Ending Date: 2016
Source Currentness Reference: ground condition
Source Citation Abbreviation: Structures - various
Source Contribution: Geographic features and feature names
Source Information:
Source Citation:
Citation Information:
Originator: Federal Railroads Administration
Publication Date: 2011
Title: Transportation, Railroads
Geospatial Data Presentation Form: Vector digital data
Other Citation Details: Railroad are acquired annually from the FRA. Rail lines and sidings are converted into the National Transportation Dataset. The rail lines layer represents the freight lines of the nation's railroad system. The data set covers all 50 states and the District of Columbia, as well as territories and possessions of the United States. No rail lines exist in American Samoa, Guam, Northern Mariana Islands, and the Virgin Islands of the US.
Source Scale Denominator: 24000
Type of Source Media: digital data
Source Time Period of Content:
Time Period Information:
Range of Dates/Times:
Beginning Date: 20170516
Ending Date: 20170516
Source Currentness Reference: publication date
Source Citation Abbreviation: Federal Railroads Administration
Source Contribution: Main track centerlines
Source Information:
Source Citation:
Citation Information:
Originator: Federal Aviation Administration
Publication Date: 2012
Title: Airports
Geospatial Data Presentation Form: Vector digital data
Other Citation Details: Airport points and runway polygons are for Federal Aviation Administration (FAA)-recognized public and private airports in the United States. FAA airports and runway shapefiles are used to the update the existing airports and runways in the National Transportation Dataset. Digital data were inspected for attribute accuracy, spatial accuracy, and completeness.
Online Linkage: https://www.faa.gov
Source Scale Denominator: 24000
Type of Source Media: digital data
Source Time Period of Content:
Time Period Information:
Range of Dates/Times:
Beginning Date: 20170412
Ending Date: 20180227
Source Currentness Reference: publication date
Source Citation Abbreviation: Transportation - Airports
Source Contribution: runways
Source Information:
Source Citation:
Citation Information:
Originator: State and Federal Partners, updates from USGS' The National Map Corps volunteers
Publication Date: 20120101
Title: Fire Stations
Geospatial Data Presentation Form: Vector digital data
Other Citation Details: Any location where fire fighters are stationed or based out of, or where equipment that such personnel use in carrying out their jobs is stored for ready use. Fire 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.
Online Linkage: https://nationalmap.usgs.gov
Source Scale Denominator: 24000
Type of Source Media: None
Source Time Period of Content:
Time Period Information:
Range of Dates/Times:
Beginning Date: 20160727
Ending Date: 20170826
Source Currentness Reference: ground condition
Source Citation Abbreviation: Structures - Fire Stations
Source Contribution: Geographic features and feature names
Source Information:
Source Citation:
Citation Information:
Originator: State and Federal Partners, updates from USGS' The National Map Corps volunteers
Publication Date: 20110101
Title: Hospitals
Geospatial Data Presentation Form: Vector digital data
Other Citation Details: Includes general medical and surgical hospitals, psychiatric, substance abuse and specialty hospitals such as Children's hospitals, cancer, maternity and rehabilitation hospitals. Other types of hospitals are included if represented in data sets provided by various partners for this compilation. Hospitals operated by the US Department of Veterans Affairs are included. Nursing homes, long term care facilities and Urgent Care facilities are generally excluded. Locations that are administrative offices only are excluded from the dataset.
Online Linkage: https://nationalmap.usgs.gov
Source Scale Denominator: 24000
Type of Source Media: None
Source Time Period of Content:
Time Period Information:
Range of Dates/Times:
Beginning Date: 20160727
Ending Date: 20160727
Source Currentness Reference: ground condition
Source Citation Abbreviation: Structures - Hospitals
Source Contribution: Geographic features and feature names
Source Information:
Source Citation:
Citation Information:
Originator: State and Federal Partners, updates from USGS' The National Map Corps volunteers
Publication Date: 20080101
Title: Schools
Geospatial Data Presentation Form: Vector digital data
Other Citation Details: The schools within this dataset are composed of Public elementary and secondary education in the US as defined and tracked by the National Center for Education Statistics (NCES), Common Core Dataset (CCD). Private schools in this dataset are composed of Private elementary and secondary education in the US as defined by the Private School Survey, NCES. The colleges and Universities are composed of postsecondary education facilities as defined by the Integrated Post Secondary Education System (IPEDS), NCES. Included are Doctoral and Research Universities, Masters Colleges and Universities, Baccalaureate Colleges, Associates Colleges, Theological seminaries, Medical schools and other health care professions, schools of engineering and technology, business and management, art, music, design, Law schools, Teachers colleges, Tribal colleges and other specialized institutions.
Online Linkage: https://nationalmap.usgs.gov
Source Scale Denominator: 24000
Type of Source Media: None
Source Time Period of Content:
Time Period Information:
Range of Dates/Times:
Beginning Date: 20080101
Ending Date: 20081231
Source Currentness Reference: ground condition
Source Citation Abbreviation: Structures - Schools
Source Contribution: Geographic features and feature names
Source Information:
Source Citation:
Citation Information:
Originator: U.S. Geological Survey
Publication Date: Publication Date
Title: Cemeteries
Geospatial Data Presentation Form: Vector digital data
Other Citation Details: The Geographic Names Information System (GNIS) is the Federal and national standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS in support of the U.S. Board on Geographic Names as the official repository of domestic geographic names data, the official vehicle for geographic names use by all departments of the Federal Government, and the source for applying geographic names to Federal electronic and printed products. Cemeteries are one feature from the GNIS data base. Cemetery data are currently maintained in part with crowdsourcing methods by the USGS National Map Corps project
Online Linkage: https://nationalmap.gov/TheNationalMapCorps/
Online Linkage: https://geonames.usgs.gov/
Source Scale Denominator: 24000
Type of Source Media: digital data
Source Time Period of Content:
Time Period Information:
Range of Dates/Times:
Beginning Date: 19791019
Ending Date: 20160926
Source Currentness Reference: publication date
Source Citation Abbreviation: Structures - Cemeteries
Source Contribution: Geographic features and feature names
Source Information:
Source Citation:
Citation Information:
Originator: U.S. Geological Survey
Publication Date: Publication Date
Title: Post Offices
Geospatial Data Presentation Form: Vector digital data
Other Citation Details: The Geographic Names Information System (GNIS) is the Federal and national standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS in support of the U.S. Board on Geographic Names as the official repository of domestic geographic names data, the official vehicle for geographic names use by all departments of the Federal Government, and the source for applying geographic names to Federal electronic and printed products. Post Offices are one feature from the GNIS data base. Post office data are currently maintained in part with crowdsourcing methods by the USGS National Map Corps project, especially for establishing correct geographic positions.
Online Linkage: https://nationalmap.gov/TheNationalMapCorps/
Online Linkage: https://geonames.usgs.gov/
Source Scale Denominator: 24000
Type of Source Media: digital data
Source Time Period of Content:
Time Period Information:
Range of Dates/Times:
Beginning Date: 20080717
Ending Date: 20180202
Source Currentness Reference: publication date
Source Citation Abbreviation: Structures - Post Offices
Source Contribution: Geographic features and feature names
Source Information:
Source Citation:
Citation Information:
Originator: State and Federal Partners, updates from USGS' The National Map Corps volunteers
Publication Date: 20150203
Title: Law Enforcement
Geospatial Data Presentation Form: Vector digital data
Other Citation Details: Included are locations where sworn officers of a law enforcement agency are regularly based or stationed. This dataset includes local police, county sheriff's offices, state police or highway patrol locations. Most federal law enforcement agency locations are not included.
Online Linkage: https://nationalmap.usgs.gov
Source Scale Denominator: 24000
Type of Source Media: None
Source Time Period of Content:
Time Period Information:
Range of Dates/Times:
Beginning Date: 20160727
Ending Date: 20170419
Source Currentness Reference: ground condition
Source Citation Abbreviation: Structures - Law Enforcement
Source Contribution: Geographic features and feature names
Source Information:
Source Citation:
Citation Information:
Originator: U.S. Geological Survey
Publication Date: Publication Date
Title: Geographic Names Information System (GNIS)
Geospatial Data Presentation Form: Vector digital data
Other Citation Details: The Geographic Names Information System (GNIS) is the Federal and national standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS in support of the U.S. Board on Geographic Names as the official repository of domestic geographic names data, the official vehicle for geographic names use by all departments of the Federal Government, and the source for applying geographic names to Federal electronic and printed products.
Online Linkage: https://geonames.usgs.gov/
Source Scale Denominator: 24000
Type of Source Media: digital data
Source Time Period of Content:
Time Period Information:
Range of Dates/Times:
Beginning Date: 19791019
Ending Date: 20180202
Source Currentness Reference: publication date
Source Citation Abbreviation: Geographic Names
Source Contribution: Geographic feature names
Source Information:
Source Citation:
Citation Information:
Originator: 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.
Publication Date: 20100820
Title: Hydrography
Geospatial Data Presentation Form: vector digital data
Other Citation Details: The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. The high-resolution NHD was originally created using 1:24,000-scale data. State and Local Stewards are improving the data by incorporating local updates based on more current and more accurate source data. Water features in the real world are relatively dynamic and the differences at the time of data collection mean that water features may not register exactly to other layers. The hydrographic feature names contained in and displayed by the NHD are extracted and validated from the Geographic Names Information System (GNIS). Spatial objects may be filtered or generalized to achieve a 1:24,000-scale representation.
Online Linkage: https://nhd.usgs.gov/
Online Linkage: https://nhd.usgs.gov/gnis.html
Online Linkage: https://nhdgeo.usgs.gov/metadata/nhd_high.htm
Source Scale Denominator: 24000
Type of Source Media: digital data
Source Time Period of Content:
Time Period Information:
Range of Dates/Times:
Beginning Date: 20030814
Ending Date: 20170728
Source Currentness Reference: publication date
Source Citation Abbreviation: Hydrography
Source Contribution: Hydrography features and feature names
Source Information:
Source Citation:
Citation Information:
Originator: U.S. Fish and Wildlife Service
Publication Date: Publication Date
Title: Wetlands - Emergent and Forest/Shrub
Geospatial Data Presentation Form: vector digital data
Other Citation Details: This data set represents the extent, approximate location and type of wetlands and deepwater habitats in the United States and its Territories. While the Fish and Wildlife Service produces a variety of wetland categories, only two (Emergent and Forest/Shrub wetlands as defined by Cowardin et al. (1979)) are included on US Topo Maps.The emergent wetlands depicted do not include lakes, rivers, open water ponds, deepwater marine and estuarine features or non-vegetated, farmed, intermittent and temporarily flooded wetlands. The goal is to provide a visual depiction of the approximate location and extent of Emergent and Forest/Shrub wetlands. Digital wetlands data are intended for use with base maps and digital aerial photography at a scale of 1:12,000 or smaller. Due to the scale, the primary intended use is for data display on the US Topo Maps. This data display is not intended for analysis. The map products were neither designed or intended to represent legal or regulatory products. Questions or comments regarding the interpretation or classification of wetlands can be addressed by visiting https://www.fws.gov/wetlands/FAQs.html These data were developed in conjunction with the publication Cowardin, L.M., V. Carter, F.C. Golet, and E.T. LaRoe. 1979. Classification of Wetlands and Deepwater Habitats of the United States. U.S. Department of the Interior, Fish and Wildlife Service, Washington, DC. FWS/OBS-79/31. For more information on the wetland classification codes visit https://www.fws.gov/wetlands/Data/Wetland-Codes.html. Note that coastline delineations were drawn to follow the extent of wetland features as described by this project and may not match the coastline shown in other base maps.
Online Linkage: https://www.fws.gov/wetlands/
Online Linkage: https://www.fws.gov/wetlands/FAQs.html
Online Linkage: https://www.fws.gov/wetlands/Data/Wetland-Codes.html
Type of Source Media: digital data
Source Time Period of Content:
Time Period Information:
Range of Dates/Times:
Beginning Date: 19840101
Ending Date: 20100101
Source Currentness Reference: publication date
Source Citation Abbreviation: Wetlands - Emergent and Forest/Shrub
Source Contribution: Spatial information
Source Information:
Source Citation:
Citation Information:
Originator: U.S. Census Bureau
Publication Date: 20140401
Title: State and Equivalent Boundary
Geospatial Data Presentation Form: vector digital data
Other Citation Details: The Census Bureau collects boundaries from state and county governments through the Boundary and Annexation Survey, and publishes the results as TIGER files. The USGS uses the TIGER data without editing or alteration.
Online Linkage: https://www.census.gov/geo/maps-data/data/tiger.html
Type of Source Media: digital data
Source Time Period of Content:
Time Period Information:
Range of Dates/Times:
Beginning Date: 20160819
Ending Date: 20160819
Source Currentness Reference: publication date
Source Citation Abbreviation: State Boundaries
Source Contribution: State and Equivalent Boundary
Source Information:
Source Citation:
Citation Information:
Originator: U.S. Census Bureau
Publication Date: 2014
Title: County and Equivalent Boundary
Geospatial Data Presentation Form: vector digital data
Other Citation Details: The Census Bureau collects boundaries from state and county governments through the Boundary and Annexation Survey (BAS), and publishes the results as TIGER files. The USGS uses the TIGER data without editing or alteration for US Topo.
Online Linkage: https://www.census.gov/geo/maps-data/data/tiger.html
Type of Source Media: digital data
Source Time Period of Content:
Time Period Information:
Range of Dates/Times:
Beginning Date: 20140601
Ending Date: 20160501
Source Currentness Reference: publication date
Source Citation Abbreviation: County Boundaries
Source Contribution: County and Equivalent Boundary
Source Information:
Source Citation:
Citation Information:
Originator: U.S. Dept. of Interior, Bureau of Land Management, Division of Support Services, Branch of Information Resource Management
Publication Date: 2012
Title: Public Land Survey System
Geospatial Data Presentation Form: vector digital data
Other Citation Details: The PLSS information 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 called Cadastral National Spatial Data Infrastructure or CadNSDI. 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 for only a few states. PLSS will be added to US Topo maps in more states in coming years as BLM authorized CadNSDI format is made available. The three layers USGS stores from PLSS are the Township, First Division and Special Surveys. Metadata for BLM PLSS data is at https://www.geocommunicator.gov/GeoComm/metadata/index.htm#PLSS, though this URL may change in the near future. Alternate sources of PLSS data will continued to be served mainly in western states where BLM is the data steward or the data is from a trusted source. Notes on individual states follow,----Alaska PLSS consists of protracted (computed, not surveyed) data only. For more information see https://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.
Online Linkage: https://sdms.ak.blm.gov/sdms/
Online Linkage: https://navigator.blm.gov/home
Source Scale Denominator: 24000
Type of Source Media: digital data
Source Time Period of Content:
Time Period Information:
Range of Dates/Times:
Beginning Date: 20170228
Ending Date: 20170228
Source Currentness Reference: publication date
Source Citation Abbreviation: Public Land Survey System - BLM
Source Contribution: Townships and ranges, sections
Source Information:
Source Citation:
Citation Information:
Originator: U.S. Geological Survey, National Geospatial Technical Operations Center - National Elevation Dataset is a component of a comprehensive base geospatial data model.
Publication Date: 20020401
Title: Hypsography
Geospatial Data Presentation Form: Vector digital data
Other Citation Details: This contour featureclass was generated from the 1/3 arc-second version of the 3D Elevation Program. The intended viewing scale for these features is 1:24,000. The contours are derived from a filtered elevation raster to achieve smoother arcs. In some areas, the 3DEP data may be 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 digital mapping program. The raster data source of contours is the 3D Elevation Program 1/3 arc-second layer. 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 3DEP 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.
Online Linkage: https://Hs.gov/
Source Scale Denominator: 24000
Type of Source Media: digital data
Source Time Period of Content:
Time Period Information:
Range of Dates/Times:
Beginning Date: 19990113
Ending Date: 19990113
Source Currentness Reference: publication date
Source Citation Abbreviation: Hypsography
Source Contribution: Contours
Source Information:
Source Citation:
Citation Information:
Originator: U.S. Geological Survey
Publication Date: 2016
Title: Land Cover - Woodland
Geospatial Data Presentation Form: Vector digital data
Other Citation Details: The Woodland Tint is a derivative land cover product created using several national map layers: three National Land Cover Database (NLCD) 2011 raster layers (Tree Canopy, Imperviousness, and Land Cover); and two vector layers (National Hydrography Dataset and Transportation). The process begins with masking the NLCD 2011 Tree Canopy Data cartographic with NLCD 2011 Imperviousness (values from 1-100), and NLCD 2011 Land Cover (value 11 = Open Water). The resulting raster data with canopy values of 20 and greater are converted to woodland vector polygons and smoothed via the Paek Algorithm. The woodland polygons are masked with buffered Transportation (Roads, Airport Runways, and Railroads) and Hydrography (NHD Areas excluding Inundation Area and NHD Waterbodies excluding Swamp/Marsh). The resulting polygons are checked for scale appropriate size (minimum size of one acre), and the small woodland polygons as well as small clearings within the woodland polygons are deleted. For Hawaii and Puerto Rico, two National Land Cover Database (NLCD) raster layers (Tree Canopy 2011 and Imperviousness 2001): and two vector layers(National Hydrography Dataset and Transportation) are used. The resulting raster data is carried out as before to produce the polygon vector data. 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) 2011 (Land Cover); and four vector layers (National Hydrography Dataset, Transportation Roads, Transportation Airports and Transportation Railroads). The process begins with combining three NLCD 2011 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.
Online Linkage: https://nationalmap.gov
Online Linkage: https://www.mrlc.gov/nlcd2011.php
Source Scale Denominator: 24000
Type of Source Media: digital data
Source Time Period of Content:
Time Period Information:
Range of Dates/Times:
Beginning Date: 20010101
Ending Date: 20110101
Source Currentness Reference: publication date
Source Citation Abbreviation: Land Cover - Woodland
Source Contribution: National Landcover Dataset; National Hydrography Dataset; National Transportation Dataset
Source Information:
Source Citation:
Citation Information:
Originator: U.S. Geological Survey
Publication Date: Publication Date
Title: Shaded Relief
Geospatial Data Presentation Form: raster digital data
Other Citation Details: The Shaded relief is a derivative elevation product created from the USGS 3D Elevation Program (3DEP) 1/3 arc-second DEM data. 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.
Source Scale Denominator: 24000
Type of Source Media: digital data
Source Time Period of Content:
Time Period Information:
Range of Dates/Times:
Beginning Date: 19940101
Ending Date: 19940101
Source Currentness Reference: publication date
Source Citation Abbreviation: Shaded Relief
Source Contribution: 3D Elevation Program
Source Information:
Source Citation:
Citation Information:
Originator: U.S. Geological Survey
Publication Date: Publication Date
Title: Grids and Coordinate System
Other Citation Details: Geographic Coordinate, U.S. National Grid, and UTM grid values are displayed along the map projection.
Source Scale Denominator: 24000
Type of Source Media: raster data
Source Time Period of Content:
Time Period Information:
Range of Dates/Times:
Beginning Date: Publication Date
Ending Date: Publication Date
Source Currentness Reference: publication date
Source Citation Abbreviation: Grids and Coordinate Systems
Source Contribution: U.S. National Grid, UTM grid.
Process Step:
Process Description: Grids and coordinate system annotation are computed for US Topo maps with Esri ArcGIS software.
Process Date: 20180524
Spatial Data Organization Information:
Direct Spatial Reference Method: Raster
Spatial Reference Information:
Horizontal Coordinate System Definition:
Planar:
Grid Coordinate System:
Grid Coordinate System Name: Universal Transverse Mercator
Universal Transverse Mercator:
UTM Zone Number: 17
Transverse Mercator:
Scale Factor at Central Meridian: 0.9996
Longitude of Central Meridian: -80.999
Latitude of Projection Origin: 0.0
False Easting: 500000
False Northing: 0.0
Planar Coordinate Information:
Planar Coordinate Encoding Method: coordinate pair
Coordinate Representation:
Abscissa Resolution: 2
Ordinate Resolution: 2
Planar Distance Units: meters
Geodetic Model:
Horizontal Datum Name: North American Datum of 1983
Ellipsoid Name: Geodetic Reference System 80
Semi-major Axis: 6378137
Denominator of Flattening Ratio: 298.2572221
Vertical Coordinate System Definition:
Altitude System Definition:
Altitude Datum Name: North American Vertical Datum of 1988
Altitude Resolution: 3
Altitude Units: meters
Altitude Encoding Method: Explicit elevation coordinate included with horizontal coordinates
Entity and Attribute Information:
Overview Description:
Entity and Attribute Overview: 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.
Entity and Attribute Detail Citation: National Geospatial Program US Topo Product Standard, 2011.
Distribution Information:
Distributor:
Contact Information:
Contact Organization Primary:
Contact Organization: U.S. Geological Survey
Contact Address:
Address Type: mailing and physical
Address: Box 25046 Denver Federal Center
City: Lakewood
State or Province: CO
Postal Code: 80225
Contact Voice Telephone: 1-888-ASK-USGS (1-888-275-8747)
Contact Electronic Mail Address: usgsstore@usgs.gov
Resource Description: Downloadable Data
Distribution Liability: 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.
Standard Order Process:
Digital Form:
Digital Transfer Information:
Format Name: Geospatial PDF
Transfer Size: 48.170394
Digital Transfer Option:
Online Option:
Computer Contact Information:
Network Address:
Network Resource Name: https://prd-tnm.s3.amazonaws.com/StagedProducts/Maps/USTopo/PDF/FL/FL_Orlando_East_20180524_TM_geo.pdf
Fees: None
Metadata Reference Information:
Metadata Date: 20180530
Metadata Contact:
Contact Information:
Contact Organization Primary:
Contact Organization: U.S. Geological Survey, National Geospatial Technical Operations Center
Contact Address:
Address Type: mailing and physical
Address: 1400 Independence Road
City: Rolla
State or Province: MO
Postal Code: 65401
Contact Address:
Address Type: mailing and physical
Address: Box 25046 Denver Federal Center
City: Lakewood
State or Province: CO
Postal Code: 80225
Contact Voice Telephone: 1-888-ASK-USGS (1-888-275-8747)
Contact Electronic Mail Address: https://www.usgs.gov/ask/
Hours: Monday through Friday 8:00 AM to 4:00 PM
Contact Instructions: Metadata information can also be obtained through online services using The National Map Viewer, at https://nationalmap.gov or EarthExplorer, at https://earthexplorer.usgs.gov or Ask USGS at https://www.usgs.gov/ask.
Metadata Standard Name: FGDC Content Standard for Digital Geospatial Metadata
Metadata Standard Version: FGDC-STD-001-1998