U.S. Geological Survey 20260706 map, raster digital data Rolla, MO and Denver, CO USGS - National Geospatial Technical Operations Center (NGTOC) U.S. Geological Survey 2025 https://www.sciencebase.gov/catalog/item/60afb6bad34e4043c85648ab 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. 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. GNIS Cell ID: 33942; {"inventory":"78849e51-7d5d-0ab0-a5e7-a1e0bd027e63","cellId":33942,"scale":24000,"pageWidth":24,"pageHeight":29} 20260706 20260706 publication date Complete Irregular -86.125 -86.0 34.375 34.25 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 Alabama DeKalb County Marshall County The National Map Type Thesaurus Downloadable Data The National Map Theme Thesaurus Map The National Map Collection Thesaurus US Topo Current US Topo The National Map Product Extent Thesaurus 7.5 x 7.5 minute The National Map Product Format Thesaurus Geospatial PDF None 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. https://prd-tnm.s3.amazonaws.com/StagedProducts/Maps/USTopo/PDF/AL/AL_Painter_20260706_TM_tn.jpg Thumbnail JPG image of map JPEG 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. This product is a layered PDF file. 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. 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 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. National Geospatial-Intelligence Agency U.S. Department of Transportation 2016 vector digital data Tunnel data is acquired from the National Geospatial-Intelligence Agency (NGA) and U.S. Department of Transportation (DOT) Federal Highways Administration (FHWA). The National Transportation Dataset (NTD) contains tunnels as a functional road classification. 24000 digital data 2016 2016 publication date Roads- Tunnels Road centerlines, route numbers, road classification, street names U.S. Geological Survey 2020 vector digital data This dataset contains points representing city hall and town hall government buildings in the U.S., This dataset contains points representing city hall and town hall government buildings in the U.S., Puerto Rico, and the U.S. Virgin Islands. This includes a building or building complex that serves as a primary location for a local or municipal government’s administrative functions. These buildings are generally called City Hall, Town Hall, Village Hall, Municipal Building, Municipal Center, City Building or similar designation. The purpose of this dataset is to document the spatial location of such buildings for general cartographic representation purposes on USGS mapping products at 1:24,000 scale. Supplemental information: Excluded are county, state, or federal level administration buildings or historical buildings that are no longer used for government administration. This dataset is dynamic and not complete at this time. Additions and updates are provided by volunteers through the USGS' The National Map Corps (TNMCorps) crowdsourcing project. Although these data and associated metadata have been reviewed for accuracy and completeness, no warranty expressed or implied is made regarding the display 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. https://www.usgs.gov/core-science-systems/national-geospatial-program/national-map 24000 digital data 2020 2020 ground condition Structures - City/Town Hall Geographic features and feature names U.S. Geological Survey 2018 vector digital data This dataset contains point features representing some types of courthouse buildings in the U.S., Puerto Rico, and the U.S. Virgin Islands. This includes county courthouses, state supreme courthouses, and the Supreme Court of the United States. The purpose is to document the spatial location and physical address of courthouse buildings for general cartographic representation purposes on USGS mapping products at 1:24,000 scale. This dataset does not contain appellate courts, federal courts, tribal courts, municipal, village, or town courts, specialty courts (e.g., family, probate, juvenile, or bankruptcy courts), or historic courthouse buildings which no longer function as an active court. The information in this dataset was collected between 2017 and 2018 by volunteers through the USGS The National Map Corps (TNMCorps) crowdsourcing project. Although these data and associated metadata have been reviewed for accuracy and completeness, no warranty expressed or implied is made regarding the display 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. Supplemental information: The County level court buildings handle the bulk of county-level court functions, usually located in the city designated as a county seat. The state supreme courthouse data represents the court buildings, usually located in the city designated as the state capital, which house the ultimate judicial tribunal in a state's court system. The Supreme Court of the United States is represented by a single data point. County level courts are referred to differently in different states. The data points for county courthouses may also contain superior, circuit, and district courts where the "County" court designation does not apply within an individual state court system. https://www.usgs.gov/core-science-systems/national-geospatial-program/national-map 24000 digital data 2018 2018 ground condition Structures - Courthouse Geographic features and feature names U.S. Geological Survey, National Geospatial Technical Operations Center - 3D Elevation Program is a component of a comprehensive base geospatial data model 2023 Vector digital data This contour featureclass was generated from the 1/3 arc-second version of the 3D Elevation Program. The intendedviewing scale for these features is 1:24,000. The contours are derived from a filtered elevation raster to achievesmoother arcs. In some areas, the 3DEP data may be modified by the National Hydrography Dataset (NHD) flow lines and waterbodies to facilitate improved integration between the hypsography and hydrography on USGS map products. These contourswere generated primarily for use as a layer in GeoPDFs created in the digital mapping program. The raster data source ofcontours 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 theDEM prior to contour generation. The goals of the hydro-enforcement are to prevent contour lines from extending over thesurface of water bodies and to align the contour reentrants with the NHD single- line streams. The 3DEP raster cells areconverted to points. Those points, along with the NHD flow lines are input into an interpolation tool to create a newsurface. The NHD water bodies and areas are preprocessed to attach the minimum and maximum elevation to each polygon. Fromthese precalculated values, an appropriate value is calculated by which to raise the elevation cells under the NHDpolygons. The NHD polygons are then converted into rasters, which in turn will be used to generate a mosaic that includesthe new raster surface. The mosaic is filtered to provide smoother contour lines. Contours are generated and depressionand index contours are identified. There is no guarantee or warranty concerning the accuracy of the data. Users should beaware that temporal changes may have occurred since these data were collected and generated and that some parts of thesedata may no longer represent actual surface conditions. Hydro-enforcement and generalization can also significantly alterthe spatial characteristics of the contours. Users should not use these data for critical applications without a fullawareness of its limitations. https://www.usgs.gov/core-science-systems/ngp/3dep 24000 digital data 2023 2023 publication date Hypsography Contours U.S. Geological Survey 2024 Vector digital data The Woodland Tint is a derivative land cover product created using the most recent National Land Cover Database (NLCD) raster data, as well as vector data from the National Hydrography Dataset and National Transportation Dataset. For CONUS, Hawaii, and Puerto Rico/U.S. Virgin Islands, NLCD Tree Canopy Cover is masked with NLCD Percent Developed Imperviousness (values from 1-100). The resulting dataset with Tree Canopy Cover of 20-100% is used as the input raster to generate woodland polygons. For Alaska, 3 values (41 -Deciduous Forest, 42 - Evergreen Forest, and 43 - Mixed Forest) are extracted from NLCD Land Cover to create the input raster used to generate woodland polygons. 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. Resulting woodland vector polygons are smoothed via the PAEK Algorithm. https://nationalmap.gov https://www.mrlc.gov/ 24000 digital data 1985 2024 publication date Land Cover - Woodland National Landcover Dataset; National Hydrography Dataset; National Transportation Dataset 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. 2022 vector digital data The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies thestream segments or reaches that make up the nation's surface water drainage system. The high-resolution NHD was originallycreated using 1:24,000-scale data. State and Local Stewards are improving the data by incorporating local updates based onmore current and more accurate source data. Water features in the real world are relatively dynamic and the differences atthe time of data collection mean that water features may not register exactly to other layers. The hydrographic featurenames 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. https://www.usgs.gov/core-science-systems/ngp/national-hydrography 24000 digital data 2005 2022 publication date Hydrography Hydrography features and feature names Global Land Ice Measurements from Space initiative (GLIMS) 2003 vector digital data This dataset, termed "GAGES II", an acronym for Geospatial Attributes of Gages for Evaluating Streamflow, versionII, 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+ completeyears (not necessarily continuous) of discharge record since 1950, or are currently active, as of water year 2009, andwhose watersheds lie within the United States, including Alaska, Hawaii, and Puerto Rico. Only active stations, asidentified by the GAGES II dataset, are symbolized. https://water.usgs.gov/lookup/getspatial?gagesII_Sept2011 https://water.usgs.gov/GIS/metadata/usgswrd/XML/gagesII_Sept2011.xml 24000 digital data 2003 2003 publication date Hydrography - Gaging Stations Hydrography features and gaging stations Federal Railroads Administration 2025 Vector digital data Railroads 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. 24000 digital data 2025 2025 publication date Federal Railroads Administration Main track centerlines Federal Aviation Administration 2026 Vector digital data Airport points and runway polygons are for Federal Aviation Administration (FAA)-recognized public and private airports in the United States. USGS updates the National Transportation Dataset (NTD) airports, runways approximately bi-monthly from FAA’s modification reports. In April 2020, USGS started creating the seaplane base and heliport layers. FAA is the primary source for seaplane bases and heliports. The National Geospatial-Intelligence Agency provided heliport updates for IN, KY, MI, MS, OH, and TN. Digital data were inspected for attribute accuracy, spatial accuracy, and completeness. https://www.faa.gov 24000 digital data 2026 2026 publication date Transportation - Airports runways U.S. Census Bureau, Geography Division 2017 vector digital data 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 driveways and short local unnamed road segments which are less than 500 feet in length. The USGS National Transportation Dataset functional road classification system is applied to the Census datasets. The functional road class includes, limited access highway, secondary highway, local connector, local road 4wd, tunnel, ferry route, and closed. Closed roads were approved in 2020 to align with USFS schema and will be incorporated into the NTD in 2021. 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. https://www.census.gov/programs-surveys/geography.html 24000 digital data 2016 2017 publication date Roads - Census Road centerlines, route numbers, road classification, street names U.S. Department of Commerce, U.S. Census Bureau, Geography Division 2026 vector digital data The TIGER/Line Shapefiles are the fully supported, core geographic product from the U.S. Census Bureau. They are extracts 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. The GU_StateOrTerritory feature class was derived from 1 State TIGER/Line shapefile downloaded from https://www2.census.gov/geo/tiger/TIGER2025/State/. Areas in Square Kilometers were obtained by reprojecting the areas into North America Albers Equal Area Conic projection. Attributions from the source data were transferred into the output schema where applicable. Population values were obtained from the 2020 decennial census tabulations. The USGS uses the TIGER data without spatial alteration. https://www2.census.gov/geo/tiger/TIGER2022/STATE/tl_2025_us_state.zip digital data 2025 2026 publication date U.S. Census Bureau, 2025 MAF/TIGER TIGER/Line Shapefile, 2025, Nation, U.S., State and Equivalent Entities U.S. Department of Commerce, U.S. Census Bureau, Geography Division 2026 vector digital data The TIGER/Line Shapefiles are the fully supported, core geographic product from the U.S. Census Bureau. They are extracts 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. The GU_CountyOrEquivalent feature class was derived from 1 County TIGER/Line shapefile downloaded from https://www2.census.gov/geo/tiger/TIGER2025/County/. Areas in Square Kilometers were obtained by reprojecting the areas into North America Albers Equal Area Conic projection. Attributions from the source data were transferred into the output schema where applicable. Population values were obtained from the 2020 decennial census tabulations. The USGS uses the TIGER data without spatial alteration. https://www2.census.gov/geo/tiger/TIGER2025/COUNTY/tl_2025_us_county.zip digital data 2025 2026 publication date U.S. Census Bureau, 2025 MAF/TIGER TIGER/Line Shapefile, 2025, Nation, U.S., County And Equivalent Entities U.S. Dept. of Interior, Bureau of Land Management, Division of Support Services, Branch of Information Resource Management 2020 vector digital data 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://navigator.blm.gov/home, 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 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. https://sdms.ak.blm.gov/sdms/ https://navigator.blm.gov/home 24000 digital data 2020 2020 publication date Public Land Survey System - BLM Townships and ranges, sections Federal land management agencies 2026 vector digital data Includes campgrounds, trailheads, visitor centers, picnic areas, Ranger stations and federal land management agency headquarters. Point data was provided by various federal agencies, such as NPS, US Forest Service, BLM, US FWS. This data is subject to change at any time. https://nationalmap.usgs.gov 24000 digital data 2026 2026 ground condition Structures - various Geographic features and feature names State and Federal Partners, updates from The National Map Corp volunteers 2020 vector digital data This dataset contains points representing building locations of fire stations in the United States, District of Columbia, Puerto Rico and the U.S. Virgin Islands. Included are manned fire stations and buildings from which a fire response occurs, such as a volunteer fire department building to which fire fighters report for duty, but which is not continuously manned. Some locations are approximate. Locations solely for storing or maintaining fire equipment, or fire stations without a permanent location, or locations with only administrative functions are generally excluded. This data set may not be complete and is subject to change at any time. https://nationalmap.usgs.gov 24000 digital data 2020 2020 ground condition Structures - Fire Stations Geographic features and feature names State and Federal Partners, updates from USGS' The National Map Corps volunteers 2020 Vector digital data 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. https://nationalmap.usgs.gov 24000 None 2020 2020 ground condition Structures - Law Enforcement Geographic features and feature names State and Federal Partners, updates from USGS' The National Map Corps volunteers 2025 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. https://nationalmap.usgs.gov 24000 None 2020 2025 ground condition Structures - Hospitals Geographic features and feature names U.S. Geological Survey 2023 Raster digital data or Digital Orthorectified Image or NAIP Digital Ortho Photo Image or Raster digital data or Digital Orthorectified Image The USGS NAIP Plus service from The National Map consists of National Agriculture Imagery Program (NAIP) and high resolution orthoimagery (HRO) that combine the visual attributes of an aerial photograph with the spatial accuracy and reliability of a map. Digital orthoimage resolution may vary from 6 inches to 1 meter. In the former resolution, every pixel in an orthoimage covers a six inch square of the earth’s surface, while in the latter resolution, each pixel represents a one meter square. Many states contribute orthoimagery to The National Map, and the USGS also relies on a partnership with the U.S. Department of Agriculture's Farm Service Agency. The National Map download client allows free downloads of public domain, 1-meter resolution orthoimagery in JPEG 2000 (jp2) format for the conterminous United States, with many urban areas and other locations at 1-foot (or better) resolution also in JPEG 2000 (jp2) format. For additional information on orthoimagery, go to https://nationalmap.gov/ortho.html. https://nationalmap.gov/ortho.html https://imagery.nationalmap.gov/arcgis/rest/services/USGSNAIPPlus/ImageServer digital data 2023 2023 publication date Imagery Image USFS 2021 Vector digital data This record applies to National Park data only. The U.S. Forest Service (USFS) provides the source dataset for roads in the National Transportation Dataset within National Parks. These roads are integrated with U.S. Census Bureau TIGER/Line Shapefile dataset as a seamless network. 24000 digital data 2021 2021 publication date Roads - National Park Service Road centerlines, route numbers, road classification, street names U.S. Geological Survey 2022 Vector digital data This dataset contains point features representing cemeteries. This includes a place or area for burying the dead or storing ashes; such as cemetery, burial ground, grave, graveyard, memorial garden, mausoleum, columbarium, or crypt. The purpose of the dataset is to portray spatial locations and feature names on USGS mapping products at 1:24,000-scale. Base data was derived from the Cemetery feature class within the U.S. Board on Geographic Names Geographic Names Information System (GNIS). Updates and additions are provided by volunteers of the USGS’ The National Map Corps. Only cemetery features with a name and coordinate are included. Locations may be approximate. This dataset is not complete and is subject to change at any time. Although these data have been sampled for accuracy and completeness, no warranty expressed or implied is made regarding data currency or display 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. https://www.usgs.gov/core-science-systems/national-geospatial-program/national-map https://www.usgs.gov/core-science-systems/ngp/board-on-geographic-names 24000 digital data 2020 2022 publication date Structures - Cemeteries Geographic features and feature names State and Federal Partners, updates from The National Map Corp volunteers 2020 vector digital data Locations designated as a Post Office by the U.S. Postal Service (USPS). The dataset includes those locations which are operated by USPS personnel and offer retail counter services. A Contract Postal Unit (CPU) is generally excluded except for Community Post Office (CPO). Some Remotely Managed Post Office and Village Post Office locations may be included. This dataset may not be complete and is subject to change at any time. https://nationalmap.usgs.gov 24000 digital data 2020 2020 ground condition Structures - Post Offices Geographic features and feature names U.S. Geological Survey 2025 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. https://usgs.gov/geonames 24000 digital data 1980 2025 publication date Geographic Names Geographic feature names U.S. Fish and Wildlife Service 1981 vector digital data 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. https://www.fws.gov/wetlands/ https://www.fws.gov/wetlands/FAQs.html https://www.fws.gov/wetlands/Data/Wetland-Codes.html digital data 1980 1981 publication date Wetlands - Emergent and Forest/Shrub Spatial information U.S. Geological Survey 20210223 raster digital data 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. 24000 digital data 20170222 20210223 publication date Shaded Relief 3D Elevation Program U.S. Geological Survey 20260706 Geographic Coordinate, U.S. National Grid, and UTM grid values are displayed along the map projection. For Standards and Specifications on USNG visit https://www.fgdc.gov/standards/projects/FGDC-standards-projects/usng/fgdc_std_011_2001_usng.pdf 24000 raster data 20260706 20260706 publication date Grids and Coordinate Systems U.S. National Grid, UTM grid. Grids and coordinate system annotation are computed for US Topo maps with Esri ArcGIS software. 20260706 Raster Universal Transverse Mercator 16 0.9996 -87.0 0.0 500000 0.0 coordinate pair 2 2 meters North American Datum of 1983 Geodetic Reference System 80 6378137 298.2572221 North American Vertical Datum of 1988 3 meters Explicit elevation coordinate included with horizontal coordinates This is a general-purpose design and layout quadrangle map based on the traditional USGS quadrangle cells. The domain is a standard 7.5-minute cell. The scale is 1:24,000. National Geospatial Program US Topo Product Standard, 2011. U.S. Geological Survey mailing and physical

Box 25046 Denver Federal Center

Lakewood CO 80225 1-888-ASK-USGS (1-888-275-8747) usgsstore@usgs.gov Downloadable Data Although these data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the accuracy or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. This disclaimer applies both to individual use of the data and aggregate use with other data. It is strongly recommended that these data are directly acquired from a U.S. Geological Survey server, and not indirectly through other sources which may have changed the data in some way. It is also strongly recommended that careful attention be paid to the contents of the metadata file associated with these data. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and/or contained herein. Geospatial PDF 30.682948 https://prd-tnm.s3.amazonaws.com/StagedProducts/Maps/USTopo/PDF/AL/AL_Painter_20260706_TM_geo.pdf None 20260707 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) https://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 https://nationalmap.gov or EarthExplorer, at https://earthexporer.usgs.gov or Ask USGS at https://www.usgs.gov/ask. FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998