The US National Park Service manages 84.4 million acres that include the nation's 59 national parks, many national monuments, and other conservation and historical properties. These lands range from the 13 million acre Wrangell-St. Elias National Park and Preserve in Alaska to the 0.02 acre Thaddeus Kosciuszko National Memorial in Pennsylvania.Dataset SummaryPhenomenon Mapped: Administrative boundaries of units in the United States National Park Service system. Not all lands within the administrative boundaries are owned by the National Park Service.Coordinate System: Web Mercator Auxiliary SphereExtent: 50 United States, District of Columbia, Puerto Rico, US Virgin Islands, Guam, American Samoa, and Northern Mariana IslandsVisible Scale: The data is visible at all scalesSource: NPS Administrative Boundaries National Park System Units layerPublication Date: January 2024This layer is a view of the USA Federal Lands layer. A filter has been used on this layer to eliminate non-Park Service lands. For more information on layers for other agencies see the USA Federal Lands layer.What can you do with this layer? This layer is suitable for both visualization and analysis across the ArcGIS system. This layer can be combined with your data and other layers from the ArcGIS Living Atlas of the World in ArcGIS Online and ArcGIS Pro to create powerful web maps that can be used alone or in a story map or other application.Because this layer is part of the ArcGIS Living Atlas of the World it is easy to add to your map:In ArcGIS Online you can add this layer to a map by selecting Add then Browse Living Atlas Layers. A window will open. Type "national park service" in the search box and browse to the layer. Select the layer then click Add to Map.In ArcGIS Pro open a map and select Add Data from the Map Tab. Select Data at the top of the drop down menu. The Add Data dialog box will open on the left side of the box expand Portal if necessary then select Living Atlas. Type "national park service" in the search box, browse to the layer then click OK.In both ArcGIS Online and Pro you can change the layer's symbology and view its attribute table. You can filter the layer to show subsets of the data using the filter button in Online or a definition query in Pro.The data can be exported to a file geodatabase, a shape file or other format and downloaded using the Export Data button on the top right of this webpage.This layer can be used as an analytic input in both Online and Pro through the Perform Analysis window Online or as an input to a geoprocessing tool, model, or Python script in Pro.The ArcGIS Living Atlas of the World provides an easy way to explore many other beautiful and authoritative maps on hundreds of topics like this one.

The National Parks dataset is frequently updated by the National Park Service (NPS) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). This dataset depicts National Park Service boundary data that was created by the Land Resources Division. NPS Director's Order #25 states: "Land status maps will be prepared to identify the ownership of the lands within the authorized boundaries of the park unit. These maps, showing ownership and acreage, are the 'official record' of the acreage of Federal and non-federal lands within the park boundaries. While these maps are the official record of the lands and acreage within the unit's authorized boundaries, they are not of survey quality and not intended to be used for survey purposes." As such this data is intended for use as a tool for GIS analysis. It is in no way intended for engineering or legal purposes. For the full data description, please go to https://irma.nps.gov/DataStore/Reference/Profile/2224545?lnv=True. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529046

A current, accurate spatial representation of all historic properties listed on the National Register of Historic Places is of interest to Federal agencies, the National Park Service, State Historic and Tribal Historic Preservation Offices, local government and certified local governments, consultants, academia, and the interested public. This interest stems from the regulatory processes of managing cultural resources that are consistent with the National Historic Preservation Act as Amended (NHPA), the National Environmental Policy Act as Amended, the Archaeological Resources Protection Act, and other laws related to cultural resources. The regulations promulgating these laws require the use of spatial data in support of various decisions and actions related to cultural resource management. Collectively, the National Register geo-spatial dataset is intended to be a comprehensive inventory of all cultural resources that are listed on the National Register of Historic Places.

Great Smoky Mountains National Park 1949 Park Topographic Map

How should this data set be cited?

United States Geologic Survey, 1949 , Topographic Map. Great Smoky Mountains National Park. Tennessee and North Carolina. Online Links:

http://science.nature.nps.gov/nrdata

What geographic area does the data set cover?

West_Bounding_Coordinate: -84.007769 East_Bounding_Coordinate: -83.037582 North_Bounding_Coordinate: 35.790660 South_Bounding_Coordinate: 35.418718

What does it look like?

Does the data set describe conditions during a particular time period?

Calendar_Date: 09-Mar-2015Currentness_Reference: publication date

What is the general form of this data set?

Geospatial_Data_Presentation_Form: raster digital data

How does the data set represent geographic features?

How are geographic features stored in the data set? This is a Raster data set.

What coordinate system is used to represent geographic features? Horizontal positions are specified in geographic coordinates, that is, latitude and longitude. Latitudes are given to the nearest 0.000000. Longitudes are given to the nearest 0.000000. Latitude and longitude values are specified in Decimal degrees.

The horizontal datum used is North American Datum of 1983. The ellipsoid used is Geodetic Reference System 80. The semi-major axis of the ellipsoid used is 6378137.000000. The flattening of the ellipsoid used is 1/298.257222.

Vertical_Coordinate_System_Definition:

Altitude_System_Definition:

Altitude_Datum_Name: North American Vertical Datum of 1988 Altitude_Resolution: 0.000025 Altitude_Distance_Units: feet Altitude_Encoding_Method:

Explicit elevation coordinate included with horizontal coordinates

How does the data set describe geographic features?

Entity_and_Attribute_Overview:

Where possible entity attribute population is completed automatically by the GIS/SQL database software. Enclosed herein are Attribute Domains and lists of legal values (LOV) where attributes are populated by "Picklists".

Who produced the data set?

Who are the originators of the data set? (may include formal authors, digital compilers, and editors)

United States Geologic Survey

Who also contributed to the data set?

To whom should users address questions about the data?

National Park Service Attn: Thomas Colson GIS Specialist 107 Park Headquarters Road Gatlinburg, Tennessee 37738 United States

(865)436-1701 (voice) GRSM_Resource_Management@nps.gov

Hours_of_Service: 0800-1730

Why was the data set created?

For the display, query, and analysis of spatial and tabular data.

How was the data set created?

From what previous works were the data drawn?

How were the data generated, processed, and modified?

Date: 28-Mar-2015 (process 1 of 1)

These data contain location values from numerous resource research, inventory, and monitoring projects spanning over many decades. The National Park Service is unable to determin the process steps used to depict many locations, citing lack of reliable data. When known, map source is given as a range of values.

What similar or related data should the user be aware of?

How reliable are the data; what problems remain in the data set?

How well have the observations been checked? Attribute accuracy is tested by manual comparison of the source with hard copy plots and/or symbolized display of the map data on an interactive computer graphic system. Selected attributes that cannot be visually verified on plots or on screen are interactively queried and verified on screen. In addition, the attributes are tested against a master set of valid attributes. All attribute data conform to the attribute codes in the signed classification and correlation document and amendment(s).

How accurate are the geographic locations? These data contain location values from numerous resource research, inventory, and monitoring projects spanning over many decades. The National Park Service is unable to asses the positional accuracy of many locations, citing lack of reliable data. When known, estimated horizontal precision is given as a range of possible values.

Statements of horizontal positional accuracy are based on accuracy statements made for U.S. Geological Survey topographic quadrangle maps. These maps were compiled to meet National Map Accuracy Standards. For horizontal accuracy, this standard is met if at least 90 percent of points tested are within 0.02 inch (at map scale) of the true position. Additional offsets to positions may have been introduced where feature density is high to improve the legibility of map symbols. In addition, the digitizing of maps is estimated to contain a horizontal positional error of less than or equal to 0.003 inch standard error (at map scale) in the two component directions relative to the source maps. Visual comparison between the map graphic (including digital scans of the graphic) and plots or digital displays of points, lines, and areas, is used as control to assess the positional accuracy of digital data. Digital map elements along the adjoining edges of data sets are aligned if they are within a 0.02 inch tolerance (at map scale). Features with like dimensionality (for example, features that all are delineated with lines), with or without like characteristics, that are within the tolerance are aligned by moving the features equally to a common point. Features outside the tolerance are not moved; instead, a feature of type connector is added to join the features.

This hardcopy map was scanned and georectified using current USGS 1:24k-scale topographic maps. This map is for reference purpose only, and there are likey several gross horizontal errors committed during rectification.

How accurate are the heights or depths? Statements of vertical positional accuracy for elevation of these points are based on accuracy statements made for U.S. Geological Survey topographic quadrangle maps. These maps were compiled to meet National Map Accuracy Standards. For vertical accuracy, this standard is met if at least 90 percent of well-defined points tested are within one-half contour interval of the correct value. Elevations of points printed on the published map meet this standard; the contour intervals of the maps vary. These elevations were transcribed into the digital data; the accuracy of this transcription was checked by visual comparison between the data and the map. This statement is generally true for the most common sources of these data. Other sources and methods may have been used to create or update these data. In some cases, additional information may be found in the feature-level metadata report.

Where are the gaps in the data? What is missing? Data completeness for these data reflect content of the source data. Features may have been eliminated or generalized on the source data due to scale and legibility constraints. For information on collection and inclusion criteria, see U.S. Geological Survey, 1994, Standards for 1:24,000-Scale Digital Line Graphs and Quadrangle Maps: National Mapping Program Technical Instructions and U.S. Geological Survey, 1994, Standards for Digital Line Graphs: National Mapping Program Technical Instructions.

How consistent are the relationships among the observations, including topology? No duplicate features exist nor duplicate points in a data string. Point data are represented by two sets of coordinate pairs, each with the same coordinate values, contained in the "Shape" Column, and "X_COORD, Y_COORD" Columns.

Database engine scripts automatically populate many of the possible "List of Values" for those columns that derive their attrtibute from other source data (see Entity Attribute Section of this document for details), thereby enforcing Attribute Accuracy. Database engine scripts also prevent the entry of duplication location coordinates, ensure the consistency and format of binary data representing geographic coordinates, and spatial and attribute index integrity.

How can someone get a copy of the data set?

Are there legal restrictions on access or use of the data?

Who distributes the data set? (Distributor 1 of 1)

Thomas Colson National Park Service GIS Specialist 107 Park Headquarters Rd. Gatlinburg, Tennessee 37738 United States

(865)436-1701 (voice) GRSM_Resource_Management@nps.gov

Hours_of_Service: 0800-1730 EST

What's the catalog number I need to order this data set? Downloadable Data

What legal disclaimers am I supposed to read?

The National Park Service shall not be held liable for improper or incorrect use of the data described and/or contained herein. These data and related graphics (i.e. GIF or JPG format files) are not legal documents and are not intended to be used as such. The information contained in these data is dynamic and may change over time. The data are not better than the original sources from which they were derived. It is the responsibility of the data user to use the data appropriately and consistent within the limitations of geospatial data in general and these data in particular. The related graphics are intended to aid the data user in acquiring relevant data; it is not appropriate to use the related graphics as data. The National Park Service gives no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these data. It is strongly recommended that these data are directly acquired from an NPS server and not indirectly through other sources which may have changed the data in some way. Although these data have been processed successfully on computer systems at the National Park Service, no warranty expressed or implied is made regarding the utility of the data on other

Provided here is a link to the National Park Service boundaries for the state of Hawaii. Maps are provided as an interactive web viewer as well as PDF doucments.

Wilderness areas are federally-owned public lands managed by the federal government through four agencies, the Bureau of Land Management, Fish and Wildlife Service, Forest Service, and National Park Service. When the National Wilderness Preservation System started in 1964, only 54 wilderness areas were included. Since then, the system has grown nearly every year to include more than 800. The time component of this service is based on the year in which the wilderness was originally designated (additions may have occurred in subsequent years). Overall, however, only about 5% of the entire United States—an area slightly larger than the state of California— is protected as wilderness. Because Alaska contains just over half of America's wilderness, only about 2.7% of the contiguous United States—an area about the size of Minnesota—is protected as wilderness. To learn more about wilderness areas, visit Wilderness Connect, the authoritative source for wilderness information online. Wilderness Connect also publishes two other map resources:An interactive wilderness map allows visitors to search for and explore all wilderness areas in the United States. Fact-filled storymaps on the benefits of wilderness illustrate how wilderness protects values including clean water, wildlife habitat, nearby recreation, cultural sites and more. Although wilderness areas are federally-owned, some areas contain non-federal parcels within their boundaries. Non-federal lands within some wilderness areas are included as part of this feature dataset as a separate layer. Termed inholdings or edgeholdings, these lands are privately-owned or owned by local governments, state governments or Indigenous Nations. Hundreds of inholdings and edgeholdings exist across the wilderness system. Generally, however, they are small compared to the size of the wilderness itself. Since the rules and regulations that apply to wilderness areas do not apply to these non-federally-owned parcels, it is important for wilderness visitors to know their location to avoid trespassing where access is not allowed. The owners of inholdings and edgeholdings can develop these parcels (as long as developments do not affect the character of the surrounding wilderness lands) and they retain special and limited access to them, sometimes, but not always, by motorized means.

In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within California’s State Waters. The program supports a large number of coastal-zone- and ocean-management issues, including the California Marine Life Protection Act (MLPA) (California Department of Fish and Wildlife, 2008), which requires information about the distribution of ecosystems as part of the design and proposal process for the establishment of Marine Protected Areas. A focus of CSMP is to map California’s State Waters with consistent methods at a consistent scale. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data (the undersea equivalent of satellite remote-sensing data in terrestrial mapping), acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology. It is emphasized that the more interpretive habitat and geology data rely on the integration of multiple, new high-resolution datasets and that mapping at small scales would not be possible without such data. This approach and CSMP planning is based in part on recommendations of the Marine Mapping Planning Workshop (Kvitek and others, 2006), attended by coastal and marine managers and scientists from around the state. That workshop established geographic priorities for a coastal mapping project and identified the need for coverage of “lands” from the shore strand line (defined as Mean Higher High Water; MHHW) out to the 3-nautical-mile (5.6-km) limit of California’s State Waters. Unfortunately, surveying the zone from MHHW out to 10-m water depth is not consistently possible using ship-based surveying methods, owing to sea state (for example, waves, wind, or currents), kelp coverage, and shallow rock outcrops. Accordingly, some of the data presented in this series commonly do not cover the zone from the shore out to 10-m depth. This data is part of a series of online U.S. Geological Survey (USGS) publications, each of which includes several map sheets, some explanatory text, and a descriptive pamphlet. Each map sheet is published as a PDF file. Geographic information system (GIS) files that contain both ESRI ArcGIS raster grids (for example, bathymetry, seafloor character) and geotiffs (for example, shaded relief) are also included for each publication. For those who do not own the full suite of ESRI GIS and mapping software, the data can be read using ESRI ArcReader, a free viewer that is available at http://www.esri.com/software/arcgis/arcreader/index.html (last accessed September 20, 2013). The California Seafloor Mapping Program is a collaborative venture between numerous different federal and state agencies, academia, and the private sector. CSMP partners include the California Coastal Conservancy, the California Ocean Protection Council, the California Department of Fish and Wildlife, the California Geological Survey, California State University at Monterey Bay’s Seafloor Mapping Lab, Moss Landing Marine Laboratories Center for Habitat Studies, Fugro Pelagos, Pacific Gas and Electric Company, National Oceanic and Atmospheric Administration (NOAA, including National Ocean Service–Office of Coast Surveys, National Marine Sanctuaries, and National Marine Fisheries Service), U.S. Army Corps of Engineers, the Bureau of Ocean Energy Management, the National Park Service, and the U.S. Geological Survey. These web services for the Offshore of Point Conception map area includes data layers that are associated to GIS and map sheets available from the USGS CSMP web page at https://walrus.wr.usgs.gov/mapping/csmp/index.html. Each published CSMP map area includes a data catalog of geographic information system (GIS) files; map sheets that contain explanatory text; and an associated descriptive pamphlet. This web service represents the available data layers for this map area. Data was combined from different sonar surveys to generate a comprehensive high-resolution bathymetry and acoustic-backscatter coverage of the map area. These data reveal a range of physiographic including exposed bedrock outcrops, large fields of sand waves, as well as many human impacts on the seafloor. To validate geological and biological interpretations of the sonar data, the U.S. Geological Survey towed a camera sled over specific offshore locations, collecting both video and photographic imagery; these “ground-truth” surveying data are available from the CSMP Video and Photograph Portal at https://doi.org/10.5066/F7J1015K. The “seafloor character” data layer shows classifications of the seafloor on the basis of depth, slope, rugosity (ruggedness), and backscatter intensity and which is further informed by the ground-truth-survey imagery. The “potential habitats” polygons are delineated on the basis of substrate type, geomorphology, seafloor process, or other attributes that may provide a habitat for a specific species or assemblage of organisms. Representative seismic-reflection profile data from the map area is also include and provides information on the subsurface stratigraphy and structure of the map area. The distribution and thickness of young sediment (deposited over the past about 21,000 years, during the most recent sea-level rise) is interpreted on the basis of the seismic-reflection data. The geologic polygons merge onshore geologic mapping (compiled from existing maps by the California Geological Survey) and new offshore geologic mapping that is based on integration of high-resolution bathymetry and backscatter imagery seafloor-sediment and rock samplesdigital camera and video imagery, and high-resolution seismic-reflection profiles. The information provided by the map sheets, pamphlet, and data catalog has a broad range of applications. High-resolution bathymetry, acoustic backscatter, ground-truth-surveying imagery, and habitat mapping all contribute to habitat characterization and ecosystem-based management by providing essential data for delineation of marine protected areas and ecosystem restoration. Many of the maps provide high-resolution baselines that will be critical for monitoring environmental change associated with climate change, coastal development, or other forcings. High-resolution bathymetry is a critical component for modeling coastal flooding caused by storms and tsunamis, as well as inundation associated with longer term sea-level rise. Seismic-reflection and bathymetric data help characterize earthquake and tsunami sources, critical for natural-hazard assessments of coastal zones. Information on sediment distribution and thickness is essential to the understanding of local and regional sediment transport, as well as the development of regional sediment-management plans. In addition, siting of any new offshore infrastructure (for example, pipelines, cables, or renewable-energy facilities) will depend on high-resolution mapping. Finally, this mapping will both stimulate and enable new scientific research and also raise public awareness of, and education about, coastal environments and issues. Web services were created using an ArcGIS service definition file. The ArcGIS REST service and OGC WMS service include all Offshore of Point Conception map area data layers. Data layers are symbolized as shown on the associated map sheets.

These are the main layers that were used in the mapping and analysis for the Santa Monica Mountains Local Coastal Plan, which was adopted by the Board of Supervisors on August 26, 2014, and certified by the California Coastal Commission on October 10, 2014. Below are some links to important documents and web mapping applications, as well as a link to the actual GIS data:

Plan Website – This has links to the actual plan, maps, and a link to our online web mapping application known as SMMLCP-NET. Click here for website. Online Web Mapping Application – This is the online web mapping application that shows all the layers associated with the plan. These are the same layers that are available for download below. Click here for the web mapping application. GIS Layers – This is a link to the GIS layers in the form of an ArcGIS Map Package, click here (LINK TO FOLLOW SOON) for ArcGIS Map Package (version 10.3). Also, included are layers in shapefile format. Those are included below.

Below is a list of the GIS Layers provided (shapefile format):

Recreation (Zipped - 5 MB - click here)

Coastal Zone Campground Trails (2012 National Park Service) Backbone Trail Class III Bike Route – Existing Class III Bike Route – Proposed

Scenic Resources (Zipped - 3 MB - click here)

Significant Ridgeline State-Designated Scenic Highway State-Designated Scenic Highway 200-foot buffer Scenic Route Scenic Route 200-foot buffer Scenic Element

Biological Resources (Zipped - 45 MB - click here)

National Hydrography Dataset – Streams H2 Habitat (High Scrutiny) H1 Habitat H1 Habitat 100-foot buffer H1 Habitat Quiet Zone H2 Habitat H3 Habitat

Hazards (Zipped - 8 MB - click here)

FEMA Flood Zone (100-year flood plain) Liquefaction Zone (Earthquake-Induced Liquefaction Potential) Landslide Area (Earthquake-Induced Landslide Potential) Fire Hazard and Responsibility Area

Zoning and Land Use (Zipped - 13 MB - click here)

Malibu LCP – LUP (1986) Malibu LCP – Zoning (1986) Land Use Policy Zoning

Other Layers (Zipped - 38 MB - click here)

Coastal Commission Appeal Jurisdiction Community Names Santa Monica Mountains (SMM) Coastal Zone Boundary Pepperdine University Long Range Development Plan (LRDP) Rural Village

Contact the L.A. County Dept. of Regional Planning's GIS Section if you have questions. Send to our email.

Great Smoky Mountains National Park 1931 Park East Topographic Map

How should this data set be cited?

United States Geologic Survey, 1931, Topographic Map. Great Smoky Mountains National Park. Tennessee and North Carolina. (East Half). Online Links:

http://science.nature.nps.gov/nrdata

What geographic area does the data set cover?

West_Bounding_Coordinate: -84.007769 East_Bounding_Coordinate: -83.037582 North_Bounding_Coordinate: 35.790660 South_Bounding_Coordinate: 35.418718

What does it look like?

Does the data set describe conditions during a particular time period?

Calendar_Date: 09-Mar-2015Currentness_Reference: publication date

What is the general form of this data set?

Geospatial_Data_Presentation_Form: raster digital data

How does the data set represent geographic features?

How are geographic features stored in the data set? This is a Raster data set.

What coordinate system is used to represent geographic features? Horizontal positions are specified in geographic coordinates, that is, latitude and longitude. Latitudes are given to the nearest 0.000000. Longitudes are given to the nearest 0.000000. Latitude and longitude values are specified in Decimal degrees.

The horizontal datum used is North American Datum of 1983. The ellipsoid used is Geodetic Reference System 80. The semi-major axis of the ellipsoid used is 6378137.000000. The flattening of the ellipsoid used is 1/298.257222.

Vertical_Coordinate_System_Definition:

Altitude_System_Definition:

Altitude_Datum_Name: North American Vertical Datum of 1988 Altitude_Resolution: 0.000025 Altitude_Distance_Units: feet Altitude_Encoding_Method:

Explicit elevation coordinate included with horizontal coordinates

How does the data set describe geographic features?

Entity_and_Attribute_Overview:

Where possible entity attribute population is completed automatically by the GIS/SQL database software. Enclosed herein are Attribute Domains and lists of legal values (LOV) where attributes are populated by "Picklists".

Who produced the data set?

Who are the originators of the data set? (may include formal authors, digital compilers, and editors)

United States Geologic Survey

Who also contributed to the data set?

To whom should users address questions about the data?

National Park Service Attn: Thomas Colson GIS Specialist 107 Park Headquarters Road Gatlinburg, Tennessee 37738 United States

(865)436-1701 (voice) GRSM_Resource_Management@nps.gov

Hours_of_Service: 0800-1730

Why was the data set created?

For the display, query, and analysis of spatial and tabular data.

How was the data set created?

From what previous works were the data drawn?

How were the data generated, processed, and modified?

Date: 28-Mar-2015 (process 1 of 1)

These data contain location values from numerous resource research, inventory, and monitoring projects spanning over many decades. The National Park Service is unable to determin the process steps used to depict many locations, citing lack of reliable data. When known, map source is given as a range of values.

What similar or related data should the user be aware of?

How reliable are the data; what problems remain in the data set?

How well have the observations been checked? Attribute accuracy is tested by manual comparison of the source with hard copy plots and/or symbolized display of the map data on an interactive computer graphic system. Selected attributes that cannot be visually verified on plots or on screen are interactively queried and verified on screen. In addition, the attributes are tested against a master set of valid attributes. All attribute data conform to the attribute codes in the signed classification and correlation document and amendment(s).

How accurate are the geographic locations? These data contain location values from numerous resource research, inventory, and monitoring projects spanning over many decades. The National Park Service is unable to asses the positional accuracy of many locations, citing lack of reliable data. When known, estimated horizontal precision is given as a range of possible values.

Statements of horizontal positional accuracy are based on accuracy statements made for U.S. Geological Survey topographic quadrangle maps. These maps were compiled to meet National Map Accuracy Standards. For horizontal accuracy, this standard is met if at least 90 percent of points tested are within 0.02 inch (at map scale) of the true position. Additional offsets to positions may have been introduced where feature density is high to improve the legibility of map symbols. In addition, the digitizing of maps is estimated to contain a horizontal positional error of less than or equal to 0.003 inch standard error (at map scale) in the two component directions relative to the source maps. Visual comparison between the map graphic (including digital scans of the graphic) and plots or digital displays of points, lines, and areas, is used as control to assess the positional accuracy of digital data. Digital map elements along the adjoining edges of data sets are aligned if they are within a 0.02 inch tolerance (at map scale). Features with like dimensionality (for example, features that all are delineated with lines), with or without like characteristics, that are within the tolerance are aligned by moving the features equally to a common point. Features outside the tolerance are not moved; instead, a feature of type connector is added to join the features.

This hardcopy map was scanned and georectified using current USGS 1:24k-scale topographic maps. This map is for reference purpose only, and there are likey several gross horizontal errors committed during rectification.

How accurate are the heights or depths? Statements of vertical positional accuracy for elevation of these points are based on accuracy statements made for U.S. Geological Survey topographic quadrangle maps. These maps were compiled to meet National Map Accuracy Standards. For vertical accuracy, this standard is met if at least 90 percent of well-defined points tested are within one-half contour interval of the correct value. Elevations of points printed on the published map meet this standard; the contour intervals of the maps vary. These elevations were transcribed into the digital data; the accuracy of this transcription was checked by visual comparison between the data and the map. This statement is generally true for the most common sources of these data. Other sources and methods may have been used to create or update these data. In some cases, additional information may be found in the feature-level metadata report.

Where are the gaps in the data? What is missing? Data completeness for these data reflect content of the source data. Features may have been eliminated or generalized on the source data due to scale and legibility constraints. For information on collection and inclusion criteria, see U.S. Geological Survey, 1994, Standards for 1:24,000-Scale Digital Line Graphs and Quadrangle Maps: National Mapping Program Technical Instructions and U.S. Geological Survey, 1994, Standards for Digital Line Graphs: National Mapping Program Technical Instructions.

How consistent are the relationships among the observations, including topology? No duplicate features exist nor duplicate points in a data string. Point data are represented by two sets of coordinate pairs, each with the same coordinate values, contained in the "Shape" Column, and "X_COORD, Y_COORD" Columns.

Database engine scripts automatically populate many of the possible "List of Values" for those columns that derive their attrtibute from other source data (see Entity Attribute Section of this document for details), thereby enforcing Attribute Accuracy. Database engine scripts also prevent the entry of duplication location coordinates, ensure the consistency and format of binary data representing geographic coordinates, and spatial and attribute index integrity.

How can someone get a copy of the data set?

Are there legal restrictions on access or use of the data?

Who distributes the data set? (Distributor 1 of 1)

Thomas Colson National Park Service GIS Specialist 107 Park Headquarters Rd. Gatlinburg, Tennessee 37738 United States

(865)436-1701 (voice) GRSM_Resource_Management@nps.gov

Hours_of_Service: 0800-1730 EST

What's the catalog number I need to order this data set? Downloadable Data

What legal disclaimers am I supposed to read?

The National Park Service shall not be held liable for improper or incorrect use of the data described and/or contained herein. These data and related graphics (i.e. GIF or JPG format files) are not legal documents and are not intended to be used as such. The information contained in these data is dynamic and may change over time. The data are not better than the original sources from which they were derived. It is the responsibility of the data user to use the data appropriately and consistent within the limitations of geospatial data in general and these data in particular. The related graphics are intended to aid the data user in acquiring relevant data; it is not appropriate to use the related graphics as data. The National Park Service gives no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these data. It is strongly recommended that these data are directly acquired from an NPS server and not indirectly through other sources which may have changed the data in some way. Although these data have been processed successfully on computer systems at the National Park Service, no warranty expressed or implied is made regarding the utility of the data

This dataset provides annual maps of the snowoff (SO) date from 1988-2016 across Alaska and parts of Far East Russia and northwest Canada at a resolution of 6.25 km. SO date is defined as the last day of persistent snow and was derived from the MEaSUREs Calibrated Enhanced-Resolution Passive Microwave (PMW) EASE-Grid Brightness Temperature (Tb) Earth System Data Record (ESDR) product. The spatial _domain was intended to match MODIS Alaska Snow Metrics and extend its temporal fidelity beyond the MODIS era. SO date estimates were compared to snow depth measurements collected at SNOTEL stations across Alaska and to three SO datasets derived from MODIS, Landsat, and the Interactive Multisensor Snow and Ice Mapping System (IMS). There are 30 total files in GeoTIFF (.tif) format, one file for every year from 1988-2016 and a fractional water mask file.

Open the Data Resource: https://chesbay.maps.arcgis.com/apps/instant/basic/index.html?appid=2bb17ce56f67437cbd8130504c8e6c03 This interactive map from the Chesapeake Conservation Partnership depicts recognized and designated heritage resources, and is based on the following designations:

National Register of Historic Places: The National Register of Historic Places (NRHP) is the official list of the nation's historic places worthy of preservation. Authorized by the National Historic Preservation Act of 1966 and administered by the National Park Service, the NRHP is part of a national program to coordinate and support public and private efforts to identify, evaluate and protect America's historic and archeological resources. National Historic Landmarks: National Historic Landmarks (NHL) are nationally significant historic places designated by the Secretary of the Interior because they possess exceptional value or quality in illustrating or interpreting the heritage of the United States. Today, just over 2,500 historic places are designated nationwide. NHLs are one subset of resources listed in the NRHP. Historic Districts: This consists of historic districts listed on the National Register of Historic Places (see above) in Delaware, the District of Columbia, Maryland, New York, Pennsylvania, Virginia and West Virginia. National Historic and Scenic Trails: The National Trails System is the network of scenic, historic and recreation trails created by the National Trails System Act of 1968, as amended. These trails provide for outdoor recreation needs; promote the enjoyment, appreciation and preservation of open-air, outdoor areas and historic resources; and encourage public access and citizen involvement. These maps include designated national historic trails and national scenic trails in the Chesapeake watershed: Captain John Smith Chesapeake National Historic Trail, Star Spangled Banner National Historic Trail, Washington Rochambeau Revolutionary Route National Historic Trail, Appalachian National Scenic Trail and Potomac Heritage National Scenic Trail. American Battlefield Protection Program Core Areas: The American Battlefield Protection Program (ABPP) promotes the preservation of significant historic battlefields associated with wars on American soil. The goals of the program are to protect battlefields and sites associated with armed conflicts that influenced the course of our history; to encourage and assist all Americans in planning for the preservation, management and interpretation of these sites; and to raise awareness of the importance of preserving battlefields and related sites for future generations. National, State and Local Parks and Publicly Managed Conservation Lands: This includes local, state and national parks; state and national wildlife management areas and refuges; and state and national forests. State and National Scenic Byways: This includes designated scenic byways at the state and federal level. Generally, scenic byways help recognize, preserve and enhance selected roads based on criteria at the state or federal level. State Scenic Rivers: This includes state designated scenic rivers. Maryland, New York, Pennsylvania and Virginia have such programs. There are no national wild and scenic rivers designated within the Chesapeake watershed. (Data sources: MD Dept. of Natural Resources, NY State Dept. of Transportation, PA Dept. of Conservation and Natural Resources and VA Dept. of Conservation and Recreation.) National and State Heritage Areas: This includes designated state and national heritage areas. Appalachian Trail Landscape: Protecting land along the 2,200 mile Appalachian National Scenic Trail (A.T.) has been a priority since the Trail was established in 1923. In addition to protecting the Trail treadway, public and non-profit partners work to conserve landscapes along the Trail. This has resulted in a 250,000 acre greenway around the Trail that connects significant public lands in the eastern United States. The dataset included in this map was prepared by the Appalachian Trail Conservancy and represents the natural, cultural, historic, scenic, recreational and community values associated with the Trail and the spine of the Appalachian Mountain Range. Maryland Rural Legacy Focal Areas: Maryland's Rural Legacy Program provides funding to preserve large, contiguous tracts of land and to enhance natural resource, agricultural, forestry and environmental protection while supporting a sustainable land base for natural resource based industries. Pennsylvania Conservation Landscapes: These areas recognized by the Commonwealth represent large regions working collaboratively to drive strategic investment and actions around sustainability, conservation, community revitalization and recreational projects.

The Heritage Model is part of the Chesapeake Conservation Atlas, which groups a suite of conservation mapping analyses together to inform conservation planning.

The Nationwide Rivers Inventory(NRI) is a listing of free-flowing river segments in the United States and Puerto Rico that are believed to possess one or more "outstandingly remarkable" natural or cultural values judged to be at least regionally significant. Hence, NRI river segments are potential candidates for inclusion in the National Wild and Scenic River System. Under the Wild and Scenic Rivers Act section 5(d)(1), a 1979 Presidential Memorandum, and 1980 Council on Environmental Quality (CEQ) guidance, all federal agencies must seek to avoid or mitigate adverse impacts to NRI rivers. Associated Department of the Interior and National Park Service policy and guidance provides direction on Nationwide Rivers Inventory responsibilities.The NRI is a source of information for statewide river assessments and federal agencies involved with stream-related projects. Always coordinate with local land managers to see if there are other river resources that may need to be considered. For any group concerned with ecosystem management, the inventory can provide the location of the nearest naturally- functioning system which might serve as a reference for monitoring activities. For the recreationalist, it provides a listing of free-flowing, relatively undisturbed river segments.The National Park Service (NPS) maintains the Nationwide Rivers Inventory, which was originally compiled in 1982 in partial fulfillment of the Wild and Scenic Rivers Act (Section 5).An interactive map for users to search and filter for river segments listed in the NRI is available at nps.gov/nri.IRMA Data Store Reference

In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within California’s State Waters. The program supports a large number of coastal-zone- and ocean-management issues, including the California Marine Life Protection Act (MLPA) (California Department of Fish and Wildlife, 2008), which requires information about the distribution of ecosystems as part of the design and proposal process for the establishment of Marine Protected Areas. A focus of CSMP is to map California’s State Waters with consistent methods at a consistent scale. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data (the undersea equivalent of satellite remote-sensing data in terrestrial mapping), acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology. It is emphasized that the more interpretive habitat and geology data rely on the integration of multiple, new high-resolution datasets and that mapping at small scales would not be possible without such data. This approach and CSMP planning is based in part on recommendations of the Marine Mapping Planning Workshop (Kvitek and others, 2006), attended by coastal and marine managers and scientists from around the state. That workshop established geographic priorities for a coastal mapping project and identified the need for coverage of “lands” from the shore strand line (defined as Mean Higher High Water; MHHW) out to the 3-nautical-mile (5.6-km) limit of California’s State Waters. Unfortunately, surveying the zone from MHHW out to 10-m water depth is not consistently possible using ship-based surveying methods, owing to sea state (for example, waves, wind, or currents), kelp coverage, and shallow rock outcrops. Accordingly, some of the data presented in this series commonly do not cover the zone from the shore out to 10-m depth. This data is part of a series of online U.S. Geological Survey (USGS) publications, each of which includes several map sheets, some explanatory text, and a descriptive pamphlet. Each map sheet is published as a PDF file. Geographic information system (GIS) files that contain both ESRI ArcGIS raster grids (for example, bathymetry, seafloor character) and geotiffs (for example, shaded relief) are also included for each publication. For those who do not own the full suite of ESRI GIS and mapping software, the data can be read using ESRI ArcReader, a free viewer that is available at http://www.esri.com/software/arcgis/arcreader/index.html (last accessed September 20, 2013). The California Seafloor Mapping Program is a collaborative venture between numerous different federal and state agencies, academia, and the private sector. CSMP partners include the California Coastal Conservancy, the California Ocean Protection Council, the California Department of Fish and Wildlife, the California Geological Survey, California State University at Monterey Bay’s Seafloor Mapping Lab, Moss Landing Marine Laboratories Center for Habitat Studies, Fugro Pelagos, Pacific Gas and Electric Company, National Oceanic and Atmospheric Administration (NOAA, including National Ocean Service–Office of Coast Surveys, National Marine Sanctuaries, and National Marine Fisheries Service), U.S. Army Corps of Engineers, the Bureau of Ocean Energy Management, the National Park Service, and the U.S. Geological Survey. These web services for the Santa Barbara Channel map area includes data layers that are associated to GIS and map sheets available from the USGS CSMP web page at https://walrus.wr.usgs.gov/mapping/csmp/index.html. Each published CSMP map area includes a data catalog of geographic information system (GIS) files; map sheets that contain explanatory text; and an associated descriptive pamphlet. This web service represents the available data layers for this map area. Data was combined from different sonar surveys to generate a comprehensive high-resolution bathymetry and acoustic-backscatter coverage of the map area. These data reveal a range of physiographic including exposed bedrock outcrops, large fields of sand waves, as well as many human impacts on the seafloor. To validate geological and biological interpretations of the sonar data, the U.S. Geological Survey towed a camera sled over specific offshore locations, collecting both video and photographic imagery; these “ground-truth” surveying data are available from the CSMP Video and Photograph Portal at https://doi.org/10.5066/F7J1015K. The “seafloor character” data layer shows classifications of the seafloor on the basis of depth, slope, rugosity (ruggedness), and backscatter intensity and which is further informed by the ground-truth-survey imagery. The “potential habitats” polygons are delineated on the basis of substrate type, geomorphology, seafloor process, or other attributes that may provide a habitat for a specific species or assemblage of organisms. Representative seismic-reflection profile data from the map area is also include and provides information on the subsurface stratigraphy and structure of the map area. The distribution and thickness of young sediment (deposited over the past about 21,000 years, during the most recent sea-level rise) is interpreted on the basis of the seismic-reflection data. The geologic polygons merge onshore geologic mapping (compiled from existing maps by the California Geological Survey) and new offshore geologic mapping that is based on integration of high-resolution bathymetry and backscatter imagery seafloor-sediment and rock samplesdigital camera and video imagery, and high-resolution seismic-reflection profiles. The information provided by the map sheets, pamphlet, and data catalog has a broad range of applications. High-resolution bathymetry, acoustic backscatter, ground-truth-surveying imagery, and habitat mapping all contribute to habitat characterization and ecosystem-based management by providing essential data for delineation of marine protected areas and ecosystem restoration. Many of the maps provide high-resolution baselines that will be critical for monitoring environmental change associated with climate change, coastal development, or other forcings. High-resolution bathymetry is a critical component for modeling coastal flooding caused by storms and tsunamis, as well as inundation associated with longer term sea-level rise. Seismic-reflection and bathymetric data help characterize earthquake and tsunami sources, critical for natural-hazard assessments of coastal zones. Information on sediment distribution and thickness is essential to the understanding of local and regional sediment transport, as well as the development of regional sediment-management plans. In addition, siting of any new offshore infrastructure (for example, pipelines, cables, or renewable-energy facilities) will depend on high-resolution mapping. Finally, this mapping will both stimulate and enable new scientific research and also raise public awareness of, and education about, coastal environments and issues. Web services were created using an ArcGIS service definition file. The ArcGIS REST service and OGC WMS service include all Santa Barbara Channel map area data layers. Data layers are symbolized as shown on the associated map sheets.

Important Note: this item is marked as Deprecated and will no longer be maintained. Please use one of the following items instead:World Topographic Map Swiss Style (VT)World Topographic Map Swiss Style (VT) - deWorld Topographic Map (Vector Tile)This map is designed to be used as a basemap by GIS professionals and as a reference map by anyone. The map includes cities, water features, physiographic features, parks, landmarks, highways, roads, railways, airports, and administrative boundaries, overlaid on land cover and shaded relief imagery for added context. Alignment of boundaries is a presentation of the feature provided by our data vendors and does not imply endorsement by Esri or any governing authority.The map provides coverage for the world down to a scale of ~1:72k. Coverage is provided down to ~1:4k for the following areas: Africa, Australia and New Zealand; Europe and Russia; India; the continental United States and Hawaii; Canada; Mexico; most of the Middle East; Pacific Island nations; South America and Central America. Coverage down to ~1:1k and ~1:2k is available in select urban areas. This basemap was compiled from a variety of best available sources from several data providers, including the U.S. Geological Survey (USGS), U.S. Environmental Protection Agency (EPA) , U.S. National Park Service (NPS), Food and Agriculture Organization of the United Nations (FAO), Department of Natural Resources Canada (NRCAN), GeoBase, Agriculture and Agri-Food Canada, DeLorme, HERE, and Esri. Data for Africa and Pacific Island nations from ~1:288k to ~1:4k (~1:1k in select areas) was sourced from OpenStreetMap contributors. The data for the World Topographic Map is provided by the GIS community. You can contribute your data to this service and have it served by Esri. For details on the coverage in this map and the users who contributed data for this map via the Community Maps Program, view the list of Contributors for the World Topographic Map.Feedback: Have you ever seen a problem in the Esri World Topographic Map community basemap that you wanted to see fixed? You can use the Topographic Map Feedback web map to provide feedback on issues or errors that you see in the Esri World Topographic Map. The feedback will be reviewed by the ArcGIS Online team and considered for one of our updates.

In the United States, the federal government manages lands in significant parts of the country. These lands include 193 million acres managed by the US Forest Service in the nation's 154 National Forests and 20 National Grasslands, Bureau of Land Management lands that cover 247 million acres in Alaska and the Western United States, 150 million acres managed for wildlife conservation by the US Fish and Wildlife Service, 84 million acres of National Parks and other lands managed by the National Park Service and over 30 million acres managed by the Department of Defense. The Bureau of Reclamation manages a much smaller land base than the other agencies included in this layer but plays a critical role in managing the country's water resources.The agencies included in this layer are:Bureau of Land ManagementDepartment of DefenseNational Park ServiceUS Fish and Wildlife ServiceUS Forest ServiceDataset SummaryPhenomenon Mapped: United States lands managed by six federal agencies Coordinate System: Web Mercator Auxiliary SphereExtent: 50 United States plus Puerto Rico, US Virgin Islands, Guam, American Samoa, and Northern Mariana Islands. The layer also includes National Monuments and Wildlife Refuges in the Pacific Ocean, Atlantic Ocean, and the Caribbean Sea.Visible Scale: The data is visible at all scales but draws best at scales greater than 1:2,000,000Source: BLM, DoD, USFS, USFWS, NPS, PADUS 2.1Publication Date: Various - Esri compiled and published this layer in May 2023. See individual agency views for data vintage.There are six layer views available that were created from this service. Each layer uses a filter to extract an individual agency from the service. For more information about the layer views or how to use them in your own project, follow these links:USA Bureau of Land Management LandsUSA Department of Defense LandsUSA National Park Service LandsUSA Fish and Wildlife Service LandsUSA Forest Service LandsWhat can you do with this Layer? This layer is suitable for both visualization and analysis across the ArcGIS system. This layer can be combined with your data and other layers from the ArcGIS Living Atlas of the World in ArcGIS Online and ArcGIS Pro to create powerful web maps that can be used alone or in a story map or other application.Because this layer is part of the ArcGIS Living Atlas of the World it is easy to add to your map:In ArcGIS Online, you can add this layer to a map by selecting Add then Browse Living Atlas Layers. A window will open. Type "federal lands" in the search box and browse to the layer. Select the layer then click Add to Map.In ArcGIS Pro, open a map and select Add Data from the Map Tab. Select Data at the top of the drop down menu. The Add Data dialog box will open on the left side of the box, expand Portal if necessary, then select Living Atlas. Type "federal lands" in the search box, browse to the layer then click OK.In both ArcGIS Online and Pro you can change the layer's symbology and view its attribute table. You can filter the layer to show subsets of the data using the filter button in Online or a definition query in Pro.The data can be exported to a file geodatabase, a shapefile or other format and downloaded using the Export Data button on the top right of this webpage.This layer can be used as an analytic input in both Online and Pro through the Perform Analysis window Online or as an input to a geoprocessing tool, model, or Python script in Pro.The ArcGIS Living Atlas of the World provides an easy way to explore many other beautiful and authoritative maps on hundreds of topics like this one.

Important Note: This item is in mature support as of July 2021. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version.World Topographic Map is designed to be used as a basemap by GIS professionals and as a reference map by anyone. The map includes cities, water features, physiographic features, contours, parks, landmarks, highways, roads, railways, airports, and administrative boundaries, overlaid on shaded relief imagery for added context.This basemap is compiled from a variety of authoritative sources from several data providers, including the U.S. Geological Survey (USGS), U.S. Environmental Protection Agency (EPA), U.S. National Park Service (NPS), Food and Agriculture Organization of the United Nations (FAO), Department of Natural Resources Canada (NRCAN), HERE, and Esri. Data for select areas is sourced from OpenStreetMap contributors. Specific country list and documentation of Esri's process for including OSM data is available to view. Additionally, data for the World Topographic Map is provided by the GIS community through the Community Maps Program. View the list of Contributors for the World Topographic Map.CoverageThe map provides coverage for the world down to a scale of ~1:72k. Coverage is provided down to ~1:4k for the following areas: Africa, Australia and New Zealand; Europe and Russia; India; most of the Middle East; Pacific Island nations; Alaska; Canada; Mexico; South America and Central America. Coverage is available down to ~1:2k and ~1:1k in select urban areas.CitationsThis layer includes imagery provider, collection date, resolution, accuracy, and source of the imagery. With the Identify tool in ArcGIS Desktop you can see topographic citations. Citations returned apply only to the available map at that location and scale.UseYou can add this layer to the ArcGIS Online Map Viewer, ArcGIS Desktop, or ArcGIS Pro. To view this layer in a web map, see this Topographic basemap.

Important Note: This item is in mature support as of September 2023 and will be retired in December 2025. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version.

The USGS Protected Areas Database of the United States (PAD-US) is the official inventory of public parks and other protected open space. The spatial data in PAD-US represents public lands held in trust by thousands of national, state and regional/local governments, as well as non-profit conservation organizations.Manager Type provides a coarse level land manager description from the PAD-US "Agency Type" Domain, "Manager Type" Field (for example, Federal, State, Local Government, Private).PAD-US is published by the U.S. Geological Survey (USGS) Science Analytics and Synthesis (SAS), Gap Analysis Project (GAP). GAP produces data and tools that help meet critical national challenges such as biodiversity conservation, recreation, public health, climate change adaptation, and infrastructure investment. See the GAP webpage for more information about GAP and other GAP data including species and land cover.Dataset SummaryPhenomenon Mapped: This layer displays protected areas symbolized by manager type.Coordinate System: Web Mercator Auxiliary SphereExtent: 50 United States plus Puerto Rico, the US Virgin Islands, the Northern Mariana Islands and other Pacific Ocean IslandsVisible Scale: 1:1,000,000 and largerSource: U.S. Geological Survey (USGS) Science Analytics and Synthesis (SAS), Gap Analysis Project (GAP) PAD-US version 3.0Publication Date: July 2022Attributes included in this layer are: CategoryOwner TypeOwner NameLocal OwnerManager TypeManager NameLocal ManagerDesignation TypeLocal DesignationUnit NameLocal NameSourcePublic AccessGAP Status - Status 1, 2, 3 or 4GAP Status DescriptionInternational Union for Conservation of Nature (IUCN) Description - I: Strict Nature Reserve, II: National Park, III: Natural Monument or Feature, IV: Habitat/Species Management Area, V: Protected Landscape/Seascape, VI: Protected area with sustainable use of natural resources, Other conservation area, UnassignedDate of EstablishmentThe source data for this layer are available here. What can you do with this Feature Layer?Feature layers work throughout the ArcGIS system. Generally your work flow with feature layers will begin in ArcGIS Online or ArcGIS Pro. Below are just a few of the things you can do with a feature service in Online and Pro.ArcGIS OnlineAdd this layer to a map in the map viewer. The layer is limited to scales of approximately 1:1,000,000 or larger but a vector tile layer created from the same data can be used at smaller scales to produce a webmap that displays across the full range of scales. The layer or a map containing it can be used in an application.Change the layer’s transparency and set its visibility rangeOpen the layer’s attribute table and make selections and apply filters. Selections made in the map or table are reflected in the other. Center on selection allows you to zoom to features selected in the map or table and show selected records allows you to view the selected records in the table.Change the layer’s style and filter the data. For example, you could set a filter for Gap Status Code = 3 to create a map of only the GAP Status 3 areas.Add labels and set their propertiesCustomize the pop-upArcGIS ProAdd this layer to a 2d or 3d map. The same scale limit as Online applies in ProUse as an input to geoprocessing. For example, copy features allows you to select then export portions of the data to a new feature class. Note that many features in the PAD-US database overlap. For example wilderness area designations overlap US Forest Service and other federal lands. Any analysis should take this into consideration. An imagery layer created from the same data set can be used for geoprocessing analysis with larger extents and eliminates some of the complications arising from overlapping polygons.Change the symbology and the attribute field used to symbolize the dataOpen table and make interactive selections with the mapModify the pop-upsApply Definition Queries to create sub-sets of the layerThis layer is part of the Living Atlas of the World that provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.