The Enhanced Contrast Map (World Edition) web map provides a detailed vector basemap for the world symbolized using enhanced contrast and a color-vision-deficient-safe palette. It is designed for use as part of a presentation that aims to meet the WCAG (Web Content Accessibility Guidelines) AA standard, and US Government Section 508 compliance. The base layer includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, and building footprints. The reference layer includes all labels and administrative boundary lines. Label size has been increased where possible, but not to the point where it conceals the map detail. The 'Ubuntu' font is used throughout, to be clear and legible while maintaining some character.This basemap, included in the ArcGIS Living Atlas of the World, uses the Enhanced Contrast Reference and Enhanced Contrast Base vector tile layers.The vector tile layers in this web map are built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.Learn more about this basemap from the cartographic designer in Working with Enhanced Contrast basemaps to improve accessibility.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layer item referenced in this map.

This dataset was created by the DC Office of Planning and provides a simplified representation of the neighborhoods of the District of Columbia. These boundaries are used by the Office of Planning to determine appropriate locations for placement of neighborhood names on maps. They do not reflect detailed boundary information, do not necessarily include all commonly-used neighborhood designations, do not match planimetric centerlines, and do not necessarily match Neighborhood Cluster boundaries. There is no formal set of standards that describes which neighborhoods are represented or where boundaries are placed. These informal boundaries are not appropriate for display, calculation, or reporting. Their only appropriate use is to guide the placement of text labels for DC's neighborhoods. This is an informal product used for internal mapping purposes only. It should be considered draft, will be subject to change on an irregular basis, and is not intended for publication.

Contains:World HillshadeWorld Street Map (with Relief) - Base LayerLarge Scale International Boundaries (v11.3)World Street Map (with Relief) - LabelsDoS Country Labels DoS Country LabelsCountry (admin 0) labels that have been vetted for compliance with foreign policy and legal requirements. These labels are part of the US Federal Government Basemap, which contains the borders and place names that have been vetted for compliance with foreign policy and legal requirements.Source: DoS Country Labels - Overview (arcgis.com)Large Scale International BoundariesVersion 11.3Release Date: December 19, 2023DownloadFor more information on the LSIB click here: https://geodata.state.gov/ A direct link to the data is available here: https://data.geodata.state.gov/LSIB.zipAn ISO-compliant version of the LSIB metadata (in ISO 19139 format) is here: https://geodata.state.gov/geonetwork/srv/eng/catalog.search#/metadata/3bdb81a0-c1b9-439a-a0b1-85dac30c59b2 Direct inquiries to internationalboundaries@state.govOverviewThe Office of the Geographer and Global Issues at the U.S. Department of State produces the Large Scale International Boundaries (LSIB) dataset. The current edition is version 11.3 (published 19 December 2023). The 11.3 release contains updates to boundary lines and data refinements enabling reuse of the dataset. These data and generalized derivatives are the only international boundary lines approved for U.S. Government use. The contents of this dataset reflect U.S. Government policy on international boundary alignment, political recognition, and dispute status. They do not necessarily reflect de facto limits of control.National Geospatial Data AssetThis dataset is a National Geospatial Data Asset managed by the Department of State on behalf of the Federal Geographic Data Committee's International Boundaries Theme.DetailsSources for these data include treaties, relevant maps, and data from boundary commissions and national mapping agencies. Where available and applicable, the dataset incorporates information from courts, tribunals, and international arbitrations. The research and recovery process involves analysis of satellite imagery and elevation data. Due to the limitations of source materials and processing techniques, most lines are within 100 meters of their true position on the ground.Attribute StructureThe dataset uses thefollowing attributes:Attribute NameCC1COUNTRY1CC2COUNTRY2RANKSTATUSLABELNOTES These attributes are logically linked:Linked AttributesCC1COUNTRY1CC2COUNTRY2RANKSTATUS These attributes have external sources:Attribute NameExternal Data SourceCC1GENCCOUNTRY1DoS ListsCC2GENCCOUNTRY2DoS ListsThe eight attributes listed above describe the boundary lines contained within the LSIB dataset in both a human and machine-readable fashion. Other attributes in the release include "FID", "Shape", and "Shape_Leng" are components of the shapefile format and do not form an intrinsic part of the LSIB."CC1" and "CC2" fields are machine readable fields which contain political entity codes. These codes are derived from the Geopolitical Entities, Names, and Codes Standard (GENC) Edition 3 Update 18. The dataset uses the GENC two-character codes. The code ‘Q2’, which is not in GENC, denotes a line in the LSIB representing a boundary associated with an area not contained within the GENC standard.The "COUNTRY1" and "COUNTRY2" fields contain human-readable text corresponding to the name of the political entity. These names are names approved by the U.S. Board on Geographic Names (BGN) as incorporated in the list of Independent States in the World and the list of Dependencies and Areas of Special Sovereignty maintained by the Department of State. To ensure the greatest compatibility, names are presented without diacritics and certain names are rendered using commonly accepted cartographic abbreviations. Names for lines associated with the code ‘Q2’ are descriptive and are not necessarily BGN-approved. Names rendered in all CAPITAL LETTERS are names of independent states. Other names are those associated with dependencies, areas of special sovereignty, or are otherwise presented for the convenience of the user.The following fields are an intrinsic part of the LSIB dataset and do not rely on external sources:Attribute NameMandatoryContains NullsRANKYesNoSTATUSYesNoLABELNoYesNOTESNoYesNeither the "RANK" nor "STATUS" field contains null values; the "LABEL" and "NOTES" fields do.The "RANK" field is a numeric, machine-readable expression of the "STATUS" field. Collectively, these fields encode the views of the United States Government on the political status of the boundary line.Attribute NameValueRANK123STATUSInternational BoundaryOther Line of International Separation Special Line A value of "1" in the "RANK" field corresponds to an "International Boundary" value in the "STATUS" field. Values of "2" and "3" correspond to "Other Line of International Separation" and "Special Line", respectively.The "LABEL" field contains required text necessarily to describe the line segment. The "LABEL" field is used when the line segment is displayed on maps or other forms of cartographic visualizations. This includes most interactive products. The requirement to incorporate the contents of the "LABEL" field on these products is scale dependent. If a label is legible at the scale of a given static product a proper use of this dataset would encourage the application of that label. Using the contents of the "COUNTRY1" and "COUNTRY2" fields in the generation of a line segment label is not required. The "STATUS" field is not a line labeling field but does contain the preferred description for the three LSIB line types when lines are incorporated into a map legend. Using the "CC1", "CC2", or "RANK" fields for labeling purposes is prohibited.The "NOTES" field contains an explanation of any applicable special circumstances modifying the lines. This information can pertain to the origins of the boundary lines, any limitations regarding the purpose of the lines, or the original source of the line. Use of the "NOTES" field for labeling purposes is prohibited.External Data SourcesGeopolitical Entities, Names, and Codes Registry: https://nsgreg.nga.mil/GENC-overview.jspU.S. Department of State List of Independent States in the World: https://www.state.gov/independent-states-in-the-world/U.S. Department of State List of Dependencies and Areas of Special Sovereignty: https://www.state.gov/dependencies-and-areas-of-special-sovereignty/The source for the U.S.—Canada international boundary (NGDAID97) is the International Boundary Commission: https://www.internationalboundarycommission.org/en/maps-coordinates/coordinates.phpThe source for the “International Boundary between the United States of America and the United States of Mexico” (NGDAID82) is the International Boundary and Water Commission: https://catalog.data.gov/dataset?q=usibwcCartographic UsageCartographic usage of the LSIB requires a visual differentiation between the three categories of boundaries. Specifically, this differentiation must be between:- International Boundaries (Rank 1);- Other Lines of International Separation (Rank 2); and- Special Lines (Rank 3).Rank 1 lines must be the most visually prominent. Rank 2 lines must be less visually prominent than Rank 1 lines. Rank 3 lines must be shown in a manner visually subordinate to Ranks 1 and 2. Where scale permits, Rank 2 and 3 lines must be labeled in accordance with the “Label” field. Data marked with a Rank 2 or 3 designation does not necessarily correspond to a disputed boundary.Additional cartographic information can be found in Guidance Bulletins (https://hiu.state.gov/data/cartographic_guidance_bulletins/) published by the Office of the Geographer and Global Issues.ContactDirect inquiries to internationalboundaries@state.gov.CreditsThe lines in the LSIB dataset are the product of decades of collaboration between geographers at the Department of State and the National Geospatial-Intelligence Agency with contributions from the Central Intelligence Agency and the UK Defence Geographic Centre.Attribution is welcome: U.S. Department of State, Office of the Geographer and Global Issues.Changes from Prior ReleaseThe 11.3 release is the third update in the version 11 series.This version of the LSIB contains changes and accuracy refinements for the following line segments. These changes reflect improvements in spatial accuracy derived from newly available source materials, an ongoing review process, or the publication of new treaties or agreements. Notable changes to lines include:• AFGHANISTAN / IRAN• ALBANIA / GREECE• ALBANIA / KOSOVO• ALBANIA/MONTENEGRO• ALBANIA / NORTH MACEDONIA• ALGERIA / MOROCCO• ARGENTINA / BOLIVIA• ARGENTINA / CHILE• BELARUS / POLAND• BOLIVIA / PARAGUAY• BRAZIL / GUYANA• BRAZIL / VENEZUELA• BRAZIL / French Guiana (FR.)• BRAZIL / SURINAME• CAMBODIA / LAOS• CAMBODIA / VIETNAM• CAMEROON / CHAD• CAMEROON / NIGERIA• CHINA / INDIA• CHINA / NORTH KOREA• CHINA / Aksai Chin• COLOMBIA / VENEZUELA• CONGO, DEM. REP. OF THE / UGANDA• CZECHIA / GERMANY• EGYPT / LIBYA• ESTONIA / RUSSIA• French Guiana (FR.) / SURINAME• GREECE / NORTH MACEDONIA• GUYANA / VENEZUELA• INDIA / Aksai Chin• KAZAKHSTAN / RUSSIA• KOSOVO / MONTENEGRO• KOSOVO / SERBIA• LAOS / VIETNAM• LATVIA / LITHUANIA• MEXICO / UNITED STATES• MONTENEGRO / SERBIA• MOROCCO / SPAIN• POLAND / RUSSIA• ROMANIA / UKRAINEVersions 11.0 and 11.1 were updates to boundary lines. Like this version, they also contained topology fixes, land boundary terminus refinements, and tripoint adjustments. Version 11.2 corrected a few errors in the attribute data and ensured that CC1 and CC2 attributes are in alignment with an updated version of the Geopolitical Entities, Names, and Codes (GENC) Standard, specifically Edition 3 Update 17.LayersLarge_Scale_International_BoundariesTerms of

The National Hydrography Dataset Plus (NHDplus) maps the lakes, ponds, streams, rivers and other surface waters of the United States. Created by the US EPA Office of Water and the US Geological Survey, the NHDPlus provides mean annual and monthly flow estimates for rivers and streams. Additional attributes provide connections between features facilitating complicated analyses. For more information on the NHDPlus dataset see the NHDPlus v2 User Guide.Dataset SummaryPhenomenon Mapped: Surface waters and related features of the United States and associated territories not including Alaska.Geographic Extent: The United States not including Alaska, Puerto Rico, Guam, US Virgin Islands, Marshall Islands, Northern Marianas Islands, Palau, Federated States of Micronesia, and American SamoaProjection: Web Mercator Auxiliary Sphere Visible Scale: Visible at all scales but layer draws best at scales larger than 1:1,000,000Source: EPA and USGSUpdate Frequency: There is new new data since this 2019 version, so no updates planned in the futurePublication Date: March 13, 2019Prior to publication, the NHDPlus network and non-network flowline feature classes were combined into a single flowline layer. Similarly, the NHDPlus Area and Waterbody feature classes were merged under a single schema.Attribute fields were added to the flowline and waterbody layers to simplify symbology and enhance the layer's pop-ups. Fields added include Pop-up Title, Pop-up Subtitle, On or Off Network (flowlines only), Esri Symbology (waterbodies only), and Feature Code Description. All other attributes are from the original NHDPlus dataset. No data values -9999 and -9998 were converted to Null values for many of the flowline fields.What can you do with this 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. 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.Apply filters. For example you can set a filter to show larger streams and rivers using the mean annual flow attribute or the stream order attribute. Change the layer’s style and symbologyAdd labels and set their propertiesCustomize the pop-upUse as an input to the ArcGIS Online analysis tools. This layer works well as a reference layer with the trace downstream and watershed tools. The buffer tool can be used to draw protective boundaries around streams and the extract data tool can be used to create copies of portions of the data.ArcGIS ProAdd this layer to a 2d or 3d map. Use as an input to geoprocessing. For example, copy features allows you to select then export portions of the data to a new feature class. 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 ArcGIS 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.Questions?Please leave a comment below if you have a question about this layer, and we will get back to you as soon as possible.

WDFW cartography staff create map content designed to inform map viewers where certain types of recreation opportunities are promoted on WDFW Wildlife Areas. This layer is created from WDFW parcel data using parcel attributes to define where these targeted recreation opportunities exist. There are currently two focused map content areas, one is to support the GoHunt application where hunting opportunities are promoted. The other is used to identify WDFW lands where a Washington Discover Pass is required. The Recreation Access Code, managed in the WDFW_Lands feature class, is used to define which parcels are dissolved into this feature class. Recreation Access Code values that are brought across as a result of a standard definition query are: 1 - Parcels managed within a designated Wildlife Area and not restricted in any way for being displayed on GoHunt or Discover Pass maps; 4 - Parcels designated by the Wildlife Program for exclusion from GoHunt activities; 5 - Parcels designated by the Wildlife Program for exclusion from the Discover Pass. Users of this feature class can use ArcMap definition queries to appropriately display either GoHunt or Discover Pass map content. This feature class displays the finest scale of the Wildlife Area administrative hierarchy that consists of Widlife Area Complexes, Wildlife Areas and Wildlife Area Units. There are several fields in this data that can be used to label maps with the Wildlife Area Unit name.

FEMA provides access to the National Flood Hazards Layer (NFHL) through web mapping services. The maps depict effective flood hazard information and supporting data. The primary flood hazard classification is indicated in the Flood Hazard Zones layer.The NFHL layers include:Flood hazard zones and labelsRiver Miles MarkersCross-sections and coastal transects and their labelsLetter of Map Revision (LOMR) boundaries and case numbersFlood Insurance Rate Map (FIRM) boundaries, labels and effective datesCoastal Barrier Resources System (CBRS) and Otherwise Protected Area (OPA) unitsCommunity boundaries and namesLeveesHydraulic and flood control structuresProfile and coastal transect baselinesLimit of Moderate Wave Action(LiMWA)Not all effective Flood Insurance Rate Maps (FIRM) have GIS data available. To view a list of available county and single-jurisdiction flood study data in GIS format and check the status of the NFHL GIS services, please visit the NFHL Status Page.Preliminary & Pending National Flood Hazard LayersThe Preliminary and Pending NFHL dataset represents the current pre-effective flood data for the country. These layers are updated as new preliminary and pending data becomes available, and data is removed from these layers as it becomes effective.For more information, please visit FEMA's website.To download map panels or GIS Data, go to: NFHL on FEMA GeoPlatform.Preliminary & Pending DataPreliminary data are for review and guidance purposes only. By viewing preliminary data and maps, the user acknowledges that the information provided is preliminary and subject to change. Preliminary data are not final and are presented in this national layer as the best information available at this time. Additionally, preliminary data cannot be used to rate flood insurance policies or enforce the Federal mandatory purchase requirement. FEMA will remove preliminary data once pending data are available.Pending data are for early awareness of upcoming changes to regulatory flood map information. Until the data becomes effective, when it will appear in FEMA's National Flood Hazard Layer (NFHL), the data should not be used to rate flood insurance policies or enforce the Federal mandatory purchase requirement. FEMA will remove pending data once effective data are available.To better understand Preliminary data please see the View Your Community's Preliminary Flood Hazard Data webpage.FEMA GeoPlatformFEMA's GIS flood map services are available through FEMAs GeoPlatform, an ArcGIS Online portal containing a variety of FEMA-related data.To view the NFHL on the FEMA GeoPlatform go to NFHL on FEMA GeoPlatform.To view the Preliminary and Pending national layers on the FEMA Geoplatform go to FEMA's Preliminary & Pending National Flood Hazard Layer.Technical InformationFlood hazard and supporting data are developed using specifications for horizontal control consistent with 1:12,000–scale mapping. If you plan to display maps from the NFHL with other map data for official purposes, ensure that the other information meets FEMA’s standards for map accuracy.The minimum horizontal positional accuracy for base map hydrographic and transportation features used with the NFHL is the NSSDA radial accuracy of 38 feet. United States Geological Survey (USGS) imagery and map services that meet this standard can be found by visiting the Knowledge Sharing Site (KSS) for Base Map Standards (420). Other base map standards can be found at https://riskmapportal.msc.fema.gov/kss/MapChanges/default.aspx. You will need a username and password to access this information.The NFHL data are from FEMA’s FIRM databases. New data are added continually. The NFHL also contains map changes to FIRM data made by LOMRs.The NFHL is stored in North American Datum of 1983, Geodetic Reference System 80 coordinate system, though many of the NFHL GIS web services support the Web Mercator Sphere projection commonly used in web mapping applications.Organization & DisplayThe NFHL is organized into many data layers. The layers display information at map scales appropriate for the data. A layer indicating the availability of NFHL data is displayed at map scales smaller than 1:250,000, regional overviews at map scales between 1:250,000 and 1:50,000, and detailed flood hazard maps at map scales of 1:50,000 and larger. The "Scalehint" item in the Capabilities file for the Web Map Service encodes the scale range for a layer.In addition, there are non-NFHL datasets provided in the GIS web services, such as information about the availability of flood data and maps, the national map panel scheme, and point locations for LOMA and LOMR-Fs. The LOMA are positioned less accurately than are the NFHL data.Layers in the public NFHL GIS services:Use the numbers shown below when referencing layers by number.0. NFHL Availability1. LOMRs2. LOMAs3. FIRM Panels4. Base Index5. PLSS6. Toplogical Low Confidence Areas7. River Mile Markers8. Datum Conversion Points9. Coastal Gages10. Gages11. Nodes12. High Water Marks13. Station Start Points14. Cross-Sections15. Coastal Transects16. Base Flood Elevations17. Profile Baselines18. Transect Baselines19. Limit of Moderate Wave Action20. Water Lines21. Coastal Barrier Resources System Area22. Political Jurisdictions23. Levees24. General Structures25. Primary Frontal Dunes26. Hydrologic Reaches27. Flood Hazard Boundaries28. Flood Hazard Zones29. Submittal Information30. Alluvial Fans31. Subbasins32. Water Areas

View Map in ArcGIS Important: Due to the size of this dataset, this item may be slower to display. Vector tile services have been shared to the Digital Atlas of Australia to support faster national scale visualisation of larger sublayers, including Upper, Middle and Lower Aquifer boundaries. A file geodatabase of this product is also available to download at the following link Download: Geofabric Groundwater CartographyAbstractThis dataset is part of the Australian Hydrological Geospatial Fabric (AHGF) also known as the Geofabric. Geofabric Groundwater Cartography version 3.3 brings together groundwater maps from across Australia. It shows important features like aquifer boundaries, salinity, and water yield. They support groundwater assessments, planning, modelling and research. The data comes from state and territory agencies and is combined into one national dataset using a standard format. Aquifer names and descriptions follow the National Aquifer Framework. This makes the data consistent with other Bureau of Meteorology groundwater tools, like the National Groundwater Information System and the Australian Groundwater Explorer.Product Guide: ahgf_productguide_V3_0_release.pdfProduct Schema: Visio-AHGF_GDB_GWCartography_Schema_V2_1_release.vsdData Dictionary: ahgf_data_dictionary_groundwater_cartography_V2_1_release.pdfData Product Specifications: ahgf_dps_groundwater_cartography_V2_1_release.pdfCurrencyDate modified: 2022Modification frequency: As neededData extentSpatial extentNorth: -8.9°South: -44.0°East: 154.1°West: 112.8°Source informationDownloaded from the geofabric download pageon the 17th of April 2025: Downloads: Geofabric: Water Information: Bureau of MeteorologyLineage statementGeofabric Groundwater Cartography is one of several Geofabric products from the Bureau of Meteorology. Version 3.3 brings together groundwater maps from across Australia. It includes aquifer boundaries and features like salinity, water yield, rock layers and structure contours. The data was collected from state and territory agencies and combined into one national dataset using a standard format. Aquifer names and descriptions follow the National Aquifer Framework. This keeps the data consistent with other Bureau groundwater tools, such as the National Groundwater Information System and the Australian Groundwater Explorer.This is the second version of Geofabric Groundwater Cartography. The main updates in this version include:Aquifer details now follow the National Aquifer Framework, instead of the earlier Interim Aquifer Framework used in Version 2.A new aquifer type attribute has been added. It groups aquifers as upper, middle or lower, based on their age and position in the ground. This helps when aquifers are layered in complex ways.The aquifer boundary data from Version 2 has been replaced with matching data from the National Groundwater Information System (NGIS).Some features from Version 2 have been removed. These include Water Table Aquifer, Surficial Hydrogeology Unit, Water Table Yield, and Water Table Hydraulic Conductivity. They were retired because they didn’t match well with the National Aquifer Framework or the new boundary data.The Digital Atlas of Australia team at Geoscience Australia made small updates to this dataset for online use. They fixed some geometry issues and improved map features like visibility, labels and symbols. These changes help make the dataset easier to access and faster to use.ContactBureau of Meteorology, Community Services, Group, ahgf@bom.gov.au

AbstractThis downloadable dataset is part of the Australian Hydrological Geospatial Fabric (AHGF) also known as the Geofabric. Geofabric Groundwater Cartography brings together groundwater maps from across Australia. It shows important features like aquifer boundaries, salinity, and water yield. They support groundwater assessments, planning, modelling and research. The data comes from state and territory agencies and is combined into one national dataset using a standard format. Aquifer names and descriptions follow the National Aquifer Framework. This makes the data consistent with other Bureau of Meteorology groundwater tools, like the National Groundwater Information System and the Australian Groundwater Explorer.Product Schema: Visio-AHGF_GDB_GWCartography_Schema_V2_1_release.vsdData Dictionary: ahgf_data_dictionary_groundwater_cartography_V2_1_release.pdfData Product Specifications: ahgf_dps_groundwater_cartography_V2_1_release.pdfCurrencyDate modified: 2022Modification frequency: As neededData extentSpatial extentNorth: -8.9°South: -44.0°East: 154.1°West: 112.8°Source informationDownloaded from the geofabric download page on the 17th of April 2025: Downloads: Geofabric: Water Information: Bureau of MeteorologyLineage statementGeofabric Groundwater Cartography is one of several Geofabric products from the Bureau of Meteorology. Version 3.3 brings together groundwater maps from across Australia. It includes aquifer boundaries and features like salinity, water yield, rock layers and structure contours. The data was collected from state and territory agencies and combined into one national dataset using a standard format. Aquifer names and descriptions follow the National Aquifer Framework. This keeps the data consistent with other Bureau groundwater tools, such as the National Groundwater Information System and the Australian Groundwater Explorer.This is the second version of Geofabric Groundwater Cartography. The main updates in this version include:Aquifer details now follow the National Aquifer Framework, instead of the earlier Interim Aquifer Framework used in Version 2.A new aquifer type attribute has been added. It groups aquifers as upper, middle or lower, based on their age and position in the ground. This helps when aquifers are layered in complex ways.The aquifer boundary data from Version 2 has been replaced with matching data from the National Groundwater Information System (NGIS).Some features from Version 2 have been removed. These include Water Table Aquifer, Surficial Hydrogeology Unit, Water Table Yield, and Water Table Hydraulic Conductivity. They were retired because they didn’t match well with the National Aquifer Framework or the new boundary data.The Digital Atlas of Australia team at Geoscience Australia made small updates to this dataset for online use. They fixed some geometry issues and improved map features like visibility, labels and symbols. These changes help make the dataset easier to access and faster to use.ContactBureau of Meteorology, Community Services Group, ahgf@bom.gov.au

Authority In the 1963 general session, the Utah State Legislature charged the Division of Water Resources with the responsibility of developing a State Water Plan. This plan is to coordinate and direct the activities of state and federal agencies concerned with Utah’s water resources. As a part of this objective, the Division of Water Resources collects water-related land use data for the entire state. This data includes the types and extent of irrigated crops as well as information concerning phreatophytes, wet/open water areas, dry land agriculture and urban areas. The data produced by the water-related land use program are used for various planning purposes. Some of these include: determining cropland water use, evaluating irrigated land losses and conversion to urban uses, planning for new water development, estimating irrigated acreages for any area, and developing water budgets. Additionally, the data are used by many other state and federal agencies. Previous Methods The land use inventory methods used by the division in conducting water-related land use studies have varied with regard to the procedures used and the precision obtained. During the 1960s and 70s, inventories were prepared using large format vertical-aerial photographs supplemented with field surveys to label boundaries, vegetation types, and other water use information. After identifying crops and labeling photographs, the information was transferred onto a base map and then planimetered or "dot-counted" to determine the acreage. Tables for individual townships and ranges were prepared showing the amount of land in each land use category within each section. Data were then available for use in preparing water budgets. In the early 1980s, the division began updating its methodology for collecting water-related land use data to take advantage of the rapidly growing fields of Remote Sensing and computerized Geographic Information Systems (GIS). For several years during the early 1980’s, the division contracted with the University of Utah Research Institute, Center for Remote Sensing and Cartography (CRSC), to prepare water-related land use inventories. During this period, water-related land use data was obtained by using high altitude color infrared photography and laboratory interpretation, with field checking. In March 1984, several division staff members visited the California Department of Water Resources to observe its methodology for collecting water-related land use data for state water planning purposes. Based on its review of the California methodology and its own experience, the division developed a water-related land use inventory program. This program included the use of 35mm slides, United States Geological Survey (USGS) 7-1/2 minute quadrangle maps, field-mapping using base maps produced from the 35mm photography and a computerized GIS to process, store and retrieve land use data. Areas for survey were first identified from previous land use studies and any other available information. The identified areas were then photographed using an aircraft carrying a high quality 35mm single lens reflex camera mounted to focus along a vertical axis to the earth. Photos were taken between 6,000 and 6,500 feet above the ground using a 24mm lens. This procedure allowed each slide to cover a little more than one square mile with approximately 30 percent overlap on the wide side of the slide and 5 percent on the slide's narrow side. The slides were then indexed according to a flight-line number, slide number, latitude and longitude. All 35mm slides were stored in files at the division offices and cataloged according to township, range and section, and quadrangle map location. Water-related land use areas were then transferred from the slide to USGS 7-1/2 minute quadrangle maps using a standard slide projector with a 100-200mm zoom lens. This step allowed the technician to project the slide onto the back of a quadrangle map. The image showing through the map was adjusted to the map scale with the zoom lens. Field boundaries and other water-use boundaries were then traced on the 7-1/2 minute quadrangle map. Next, a team was sent to use the map in the field to check the boundaries and current year land use field data on the 7-1/2 minute quadrangles. The final step was to digitize and process the field data using ARC/INFO software developed by Environmental Systems Research Institute (ESRI). Starting in 2000 with the land use survey of the Uintah Basin, the division further improved its land use program by using digital data for the purposes of outlining agricultural and other land cover boundaries. The division used satellite data, USGS Digital Orthophoto Quadrangles (DOQs), National Agricultural Imagery Program (NAIP), and other digital images in a heads-up digitizing mode for this process. This allowed the division to use multiple technicians for the digitizing process. Digitizing was done as line and polygon files using ArcView 3.2 with a satellite image, DOQ or NAIP image as a background with other layers added for reference. Boundary files were created in logical groups so that the process of edge-matching along quad lines was eliminated and precision increased. Subsequent inventories were digitized in the ArcMap 9.x software versions. Present Methodology Using the latest statewide NAIP Imagery and ArcGIS 10, all boundaries of individual agricultural fields, urban areas, and significant riparian areas are precisely digitized. Once the process of boundary digitizing is done, the polygons are loaded onto tablet PCs. Field crews are then sent to field check the crop and irrigation type for each agricultural polygon and label the shapefiles accordingly. Each tablet PC is attached to a GPS unit for real-time tracking to continuously update the field crew’s location during the field labeling process. This improved process has saved the division much time and money and even greater savings will be realized as the new statewide field boundaries are completed. Once processed and quality checked, the data is filed in the State Geographic Information Database (SGID) maintained by the State Automated Geographic Reference Center (AGRC). Once in the SGID, the data becomes available to the public. At this point, the data is also ready for use in preparing various planning studies. In conducting water-related land use inventories, the division attempts to inventory all lands or areas that consume or evaporate water other than natural precipitation. Areas not inventoried are mainly desert, rangeland and forested areas. Wet/open water areas and dry land agriculture areas are mapped if they are within or border irrigated lands. As a result, the numbers of acres of wet/open water areas and dry land agriculture reported by the division may not represent all such areas in a basin or county. During land use inventories, the division uses 11 hydrologic basins as the basic collection units. County data is obtained from the basin data. The water-related land use data collected statewide covers more than 4.3 million acres of dry and irrigated agricultural land. This represents about 8 percent of the total land area in the state. Due to changes in methodology, improvements in imagery, and upgrades in software and hardware, increasingly more refined inventories have been made in each succeeding year of the Water-Related Land Use Inventory. While this improves the data we report, it also makes comparisons to past years difficult. Making comparisons between datasets is still useful; however, increases or decreases in acres reported should not be construed to represent definite trends or total amounts of change up or down. To estimate such trends or change, more analysis is required.

The Enhanced Contrast Map (US Edition) web map provides a detailed vector basemap for the world symbolized using enhanced contrast and a color-vision-deficient-safe palette. It is designed for use as part of a presentation that aims to meet the WCAG (Web Content Accessibility Guidelines) AA standard, and US Government Section 508 compliance. The base layer includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, and building footprints. The reference layer includes all labels and administrative boundary lines. Label size has been increased where possible, but not to the point where it conceals the map detail. The 'Ubuntu' font is used throughout, to be clear and legible while maintaining some character.This basemap is available in the United States Vector Basemaps gallery and uses the Enhanced Contrast Reference (US Edition) and Enhanced Contrast Base vector tile layers.The vector tile layers in this web map are built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layers referenced in this map.

This data set describes Neighborhood Clusters that have been used for community planning and related purposes in the District of Columbia for many years. It does not represent boundaries of District of Columbia neighborhoods. Cluster boundaries were established in the early 2000s based on the professional judgment of the staff of the Office of Planning as reasonably descriptive units of the City for planning purposes. Once created, these boundaries have been maintained unchanged to facilitate comparisons over time, and have been used by many city agencies and outside analysts for this purpose. (The exception is that 7 “additional” areas were added to fill the gaps in the original dataset, which omitted areas without significant neighborhood character such as Rock Creek Park, the National Mall, and the Naval Observatory.) The District of Columbia does not have official neighborhood boundaries. The Office of Planning provides a separate data layer containing Neighborhood Labels that it uses to place neighborhood names on its maps. No formal set of standards describes which neighborhoods are included in that dataset.Whereas neighborhood boundaries can be subjective and fluid over time, these Neighborhood Clusters represent a stable set of boundaries that can be used to describe conditions within the District of Columbia over time.

The Enhanced Contrast Dark Map (US Edition) web map provides a detailed vector basemap for the world symbolized using enhanced contrast and a dark color-vision-deficient-safe palette. It is designed for use as part of a presentation that aims to meet the WCAG (Web Content Accessibility Guidelines) AA standard, and US Government Section 508 compliance. The dark base layer includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, and building footprints. The dark reference layer includes all labels and administrative boundary lines. Label size has been increased where possible, but not to the point where it conceals the map detail. The 'Ubuntu' font is used throughout, to be clear and legible while maintaining some character.This basemap is available in the United States Vector Basemaps gallery and uses the Enhanced Contrast Dark Reference (US Edition) and Enhanced Contrast Dark Base vector tile layers.The vector tile layer in this web map are built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layers referenced in this map.

This vector tile layer provides the base layer for a prototype 'gray' accessible basemap for the world - one that attempts to meet the requirements of the WCAG (Web Content Accessibility Guidelines) AA standard, and US Government Section 508. It is designed to be used with the reference layer Accessible Basemap gray v2 reference, but can be used separately.This version is adapted from the current 'Light Gray Canvas' basemap. Detail is built using a hierarchy with a higher contrast. Smaller labels have been enlarged, and label haloes are used extensively.It includes highways, major roads, minor roads, railways, water features, parks, landmarks and building footprints The vector tile layer in this map is built using the same data sources used for the World Street Map and other Esri basemaps. Use this MapThis map is designed to be used as a base layer in a web map. You can add this layer to a web map and save as your own map.Customize this MapBecause this map is delivered as a vector tile layer, users can customize the map to change its content and symbology, including fonts. Users are able to turn on and off layers, change symbols for layers, switch to alternate local language (in some areas), and refine the treatment of disputed boundaries. See the Vector Basemap group for other vector tile layers. For details on how to customize this map, please refer to these articles on the ArcGIS Online Blog and view the Esri Vector Basemaps Reference Document.

The Forest Service Basemap service is created, maintained, and produced by the U.S. Forest Service. The Forest Service Basemap is a scalable digital map product and can be used as background (or basemap) in web applications and GIS software. The Forest Service Basemap is compiled from authoritative data sources from the US Forest Service, the US Geologic Survey (USGS), the Bureau of Land Management (BLM), the National Park Service (NPS), the US Fish and Wildlife Service (USFWS), The Census Bureau (US Census), The Federal Aviation Administration (FAA), North American Rail Network (NARN), and the Homeland Infrastructure Foundation Level Data (HIFLD- HERE) from the Department of Homeland Security (DHS).

Latest Update: A series of updates were implemented to improve data accuracy and map clarity. The Trails Plus GTAC definition query was revised, and Wilderness designations nomenclature standardized to 'Wild.' across USFS and PADUS layers. Boundary corrections were made for Mount St. Helens NVM and Mt. Adams RD. Labels were added for State and USFWS lands, and land ownership data can now be viewed at maximum zoom level. A trail adjustment was completed at Simpson Peak in Questa RD. Additional updates include the Denali–Mount McKinley name correction, location updates for Juno and Pittsburg, and display boundary corrections for urban areas. Intermediate hydro layers were removed to streamline data, and queries were applied to NHD datasets to generalize hydrographic features. In Alaska, native lands were symbolized to distinguish tribal lands from reservation lands. A region-specific road query was applied to filter roads data relevant to Alaska and wetlands data for the state was updated to only show Palustrine Emergent Wetlands.

This is a map service displaying country boundaries and geographic labels in the Antarctic. The map layers are from the Natural Earth project.Map projection: WGS84 Antarctic Polar Stereographic; standard parallel of 71 degrees; EPSG:3031; outer edge at 50 degrees south.Note: this will not display in the correct projection if you click on the thumbnail or choose "Add to Map". For a combined ArcGIS Online map displaying this service in Antarctic projection along with other useful reference layers, please see: https://noaa.maps.arcgis.com/home/item.html?id=d13b9d10219e4429974e48368b64e41f

The Forest Service Digital Map products are created, maintained, and produced by the USDA Forest Service. The Forest Service Digital Maps are freely distributable and are available for download on the Forest Service Digital Map website. The Forest Service Digital Map series includes FSTopo (1:24,000 scale in CONUS and Puerto Rico, and 1:25,000 scale in Alaska), the 1:100,000 scale Maps, the Ranger District Map Series, Forest Map Series, the Regional Maps, National Maps and map services.The Forest Service Basemap is compiled from authoritative data sources from the US Forest Service, the US Geologic Survey (USGS), the Bureau of Land Management (BLM), the National Park Service (NPS), the US Fish and Wildlife Service (USFWS), The Census Bureau (US Census), The Federal Aviation Administration (FAA), North American Rail Network (NARN), and the Homeland Infrastructure Foundation Level Data (HIFLD- HERE) from the Department of Homeland Security (DHS).Click here to download a PDF of the Forest Service Basemap Style Guide.Contact Us Latest Update:(Aug. 2025)A series of updates were implemented to improve data accuracy and map clarity. The Trails Plus GTAC definition query was revised, and Wilderness designations nomenclature standardized to "Wild." across USFS and PADUS layers. Boundary corrections were made for Mount St. Helens NVM and Mt. Adams RD. Labels were added for State and USFWS lands, and land ownership data can now be viewed at maximum zoom level. A trail adjustment was completed at Simpson Peak in Questa RD. Additional updates include the Denali–Mount McKinley name correction, location updates for Juno and Pittsburg, and display boundary corrections for urban areas. Intermediate hydro layers were removed to streamline data, and queries were applied to NHD datasets to generalize hydrographic features. In Alaska, native lands were symbolized to distinguish tribal lands from reservation lands. A region-specific road query was applied to filter roads data relevant to Alaska and wetlands data for the state was updated to only show Palustrine Emergent Wetlands.

The Forest Service Basemap service is created, maintained, and produced by the U.S. Forest Service. The Forest Service Basemap is a scalable digital map product and can be used as background (or basemap) in web applications and GIS software. The Forest Service Basemap is compiled from authoritative data sources from the US Forest Service, the US Geologic Survey (USGS), the Bureau of Land Management (BLM), the National Park Service (NPS), the US Fish and Wildlife Service (USFWS), The Census Bureau (US Census), The Federal Aviation Administration (FAA), North American Rail Network (NARN), and the Homeland Infrastructure Foundation Level Data (HIFLD- HERE) from the Department of Homeland Security (DHS).

Latest Update: A series of updates were implemented to improve data accuracy and map clarity. The Trails Plus GTAC definition query was revised, and Wilderness designations nomenclature standardized to 'Wild.' across USFS and PADUS layers. Boundary corrections were made for Mount St. Helens NVM and Mt. Adams RD. Labels were added for State and USFWS lands, and land ownership data can now be viewed at maximum zoom level. A trail adjustment was completed at Simpson Peak in Questa RD. Additional updates include the Denali–Mount McKinley name correction, location updates for Juno and Pittsburg, and display boundary corrections for urban areas. Intermediate hydro layers were removed to streamline data, and queries were applied to NHD datasets to generalize hydrographic features. In Alaska, native lands were symbolized to distinguish tribal lands from reservation lands. A region-specific road query was applied to filter roads data relevant to Alaska and wetlands data for the state was updated to only show Palustrine Emergent Wetlands.

The Forest Service Basemap service is created, maintained, and produced by the U.S. Forest Service. The Forest Service Basemap is a scalable digital map product and can be used as background (or basemap) in web applications and GIS software. The Forest Service Basemap is compiled from authoritative data sources from the US Forest Service, the US Geologic Survey (USGS), the Bureau of Land Management (BLM), the National Park Service (NPS), the US Fish and Wildlife Service (USFWS), The Census Bureau (US Census), The Federal Aviation Administration (FAA), North American Rail Network (NARN), and the Homeland Infrastructure Foundation Level Data (HIFLD- HERE) from the Department of Homeland Security (DHS).

Latest Update: A series of updates were implemented to improve data accuracy and map clarity. The Trails Plus GTAC definition query was revised, and Wilderness designations nomenclature standardized to 'Wild.' across USFS and PADUS layers. Boundary corrections were made for Mount St. Helens NVM and Mt. Adams RD. Labels were added for State and USFWS lands, and land ownership data can now be viewed at maximum zoom level. A trail adjustment was completed at Simpson Peak in Questa RD. Additional updates include the Denali–Mount McKinley name correction, location updates for Juno and Pittsburg, and display boundary corrections for urban areas. Intermediate hydro layers were removed to streamline data, and queries were applied to NHD datasets to generalize hydrographic features. In Alaska, native lands were symbolized to distinguish tribal lands from reservation lands. A region-specific road query was applied to filter roads data relevant to Alaska and wetlands data for the state was updated to only show Palustrine Emergent Wetlands.

This is a map service displaying country boundaries and geographic labels in the Arctic. The layers are from the Natural Earth project.Map projection: WGS84 Arctic Polar Stereographic; standard parallel of 71 degrees; EPSG:3995; outer edge at 50 degrees north.Note: this will not display in the correct projection if you click on the thumbnail or choose "Add to Map". For a combined ArcGIS Online map displaying this service in Arctic projection along with other useful reference layers, please see: https://noaa.maps.arcgis.com/home/item.html?id=94f14eb0995e4bfc9d2439fc868345da

The Forest Service Basemap service is created, maintained, and produced by the U.S. Forest Service. The Forest Service Basemap is a scalable digital map product and can be used as background (or basemap) in web applications and GIS software. The Forest Service Basemap is compiled from authoritative data sources from the US Forest Service, the US Geologic Survey (USGS), the Bureau of Land Management (BLM), the National Park Service (NPS), the US Fish and Wildlife Service (USFWS), The Census Bureau (US Census), The Federal Aviation Administration (FAA), North American Rail Network (NARN), and the Homeland Infrastructure Foundation Level Data (HIFLD- HERE) from the Department of Homeland Security (DHS).

Latest Update: A series of updates were implemented to improve data accuracy and map clarity. The Trails Plus GTAC definition query was revised, and Wilderness designations nomenclature standardized to 'Wild.' across USFS and PADUS layers. Boundary corrections were made for Mount St. Helens NVM and Mt. Adams RD. Labels were added for State and USFWS lands, and land ownership data can now be viewed at maximum zoom level. A trail adjustment was completed at Simpson Peak in Questa RD. Additional updates include the Denali–Mount McKinley name correction, location updates for Juno and Pittsburg, and display boundary corrections for urban areas. Intermediate hydro layers were removed to streamline data, and queries were applied to NHD datasets to generalize hydrographic features. In Alaska, native lands were symbolized to distinguish tribal lands from reservation lands. A region-specific road query was applied to filter roads data relevant to Alaska and wetlands data for the state was updated to only show Palustrine Emergent Wetlands.