A PDF map that shows the counties and unitary authorities in the United Kingdom as at 1 April 2023. (File Size - 583 KB)

These data represent a digital form of the geologic map of Cape Cod and the islands.

The Crop Map of England (CROME) is a polygon vector dataset mainly containing the crop types of England. The dataset contains approximately 32 million hexagonal cells classifying England into over 20 main crop types, grassland, and non-agricultural land covers, such as Woodland, Water Bodies, Fallow Land and other non-agricultural land covers. The classification was created automatically using supervised classification (Random Forest Classification) from the combination of Sentinel-1 Radar and Sentinel-2 Optical Satellite images during the period late January 2019 – September 2019. The dataset was created to aid the classification of crop types from optical imagery, which can be affected by cloud cover. The results were checked against survey data collected by field inspectors and visually validated. The data has been split into the Ordnance Survey Ceremonial Counties and each county is given a three letter code. Please refer to the CROME specification document to see which county each CODE label represents.

April 2022

The 2020 TIGER/Line Shapefiles contain current geographic extent and boundaries of both legal and statistical entities (which have no governmental standing) for the United States, the District of Columbia, Puerto Rico, and the Island areas. This vintage includes boundaries of governmental units that match the data from the surveys that use 2020 geography (e.g., 2020 Population Estimates and the 2020 American Community Survey). In addition to geographic boundaries, the 2020 TIGER/Line Shapefiles also include geographic feature shapefiles and relationship files. Feature shapefiles represent the point, line and polygon features in the MTDB (e.g., roads and rivers). Relationship files contain additional attribute information users can join to the shapefiles. Both the feature shapefiles and relationship files reflect updates made in the database through September 2020. To see how the geographic entities, relate to one another, please see our geographic hierarchy diagrams here. Census Urbanized Areashttps://www2.census.gov/geo/tiger/TIGER2020/UAC Census Urban/Rural Census Block Shapefileshttps://www.census.gov/cgi-bin/geo/shapefiles/index.php 2020 TIGER/Line and Redistricting shapefiles:https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.2020.html Technical documentation:https://www2.census.gov/geo/pdfs/maps-data/data/tiger/tgrshp2020/TGRSHP2020_TechDoc.pdf TIGERweb REST Services:https://tigerweb.geo.census.gov/tigerwebmain/TIGERweb_restmapservice.html TIGERweb WMS Services:https://tigerweb.geo.census.gov/tigerwebmain/TIGERweb_wms.html The legal entities included in these shapefiles are:American Indian Off-Reservation Trust LandsAmerican Indian Reservations – FederalAmerican Indian Reservations – StateAmerican Indian Tribal Subdivisions (within legal American Indian areas)Alaska Native Regional CorporationsCongressional Districts – 116th CongressConsolidated CitiesCounties and Equivalent Entities (except census areas in Alaska)Estates (US Virgin Islands only)Hawaiian Home LandsIncorporated PlacesMinor Civil DivisionsSchool Districts – ElementarySchool Districts – SecondarySchool Districts – UnifiedStates and Equivalent EntitiesState Legislative Districts – UpperState Legislative Districts – LowerSubminor Civil Divisions (Subbarrios in Puerto Rico) The statistical entities included in these shapefiles are:Alaska Native Village Statistical AreasAmerican Indian/Alaska Native Statistical AreasAmerican Indian Tribal Subdivisions (within Oklahoma Tribal Statistical Areas)Block Groups3-5Census AreasCensus BlocksCensus County Divisions (Census Subareas in Alaska)Unorganized Territories (statistical county subdivisions)Census Designated Places (CDPs)Census TractsCombined New England City and Town AreasCombined Statistical AreasMetropolitan and Micropolitan Statistical Areas and related statistical areasMetropolitan DivisionsNew England City and Town AreasNew England City and Town Area DivisionsOklahoma Tribal Statistical AreasPublic Use Microdata Areas (PUMAs)State Designated Tribal Statistical AreasTribal Designated Statistical AreasUrban AreasZIP Code Tabulation Areas (ZCTAs)Shapefiles - Features:Address Range-FeatureAll Lines (called Edges)All RoadsArea HydrographyArea LandmarkCoastlineLinear HydrographyMilitary InstallationPoint LandmarkPrimary RoadsPrimary and Secondary RoadsTopological Faces (polygons with all geocodes)Relationship Files:Address Range-Feature NameAddress RangesFeature NamesTopological Faces – Area LandmarkTopological Faces – Area HydrographyTopological Faces – Military Installations

The Coast Guard Sectors are delineated in the description in the 33 Code of Federal Regulations (CFR) for each Sector Boundary and Area of Responsibility where latitude and longitude coordinates, as well as county/state/national boundaries are included to describe the boundaries for each zone. In addition, whenever the Area of Responsibility boundary is over water, the EEZ shapefile is referenced for those occurrences. This layer displays the Coast Guard Sector Boundaries for the following sectorsAnchorage, Baltimore, Boston, Buffalo, Charleston, Columbia River, Corpus Christi, Delaware Bay, Detroit, Guam, Hampton Roads, Honolulu, Houston - Galveston, Humboldt Bay, Jacksonville, Juneau, Key West, Lake Michigan, Long Island Sound, Los Angeles - Long Beach, Lower Mississippi, Miami, Mobile, New Orleans, New York, North Bend, North Carolina, Northern New England, Ohio Valley, Puget Sound, San Diego, San Francisco, San Juan, Sault Ste Marie, Southeastern New England, St. Petersburg, and Upper Mississippi.

TIGER, TIGER/Line, and Census TIGER are registered trademarks of the U.S. Census Bureau. ZCTA is a trademark of the U.S. Census Bureau. The Census 2000 TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER data base. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on January 1, 2000 legal boundaries. A complete set of Census 2000 TIGER/Line files includes all counties and statistically equivalent entities in the United States, Puerto Rico, and the Island Areas. The Census TIGER data base represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The Census 2000 TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. The boundary information in the TIGER/Line files are for statistical data collection and tabulation purposes only; their depiction and designation for statistical purposes does not constitute a determination of jurisditional authority or rights of ownership or entitlement. The Census 2000 TIGER/Line files do NOT contain the Census 2000 urban areas which have not yet been delineated. The files contain information distributed over a series of record types for the spatial objects of a county. There are 17 record types, including the basic data record, the shape coordinate points, and geographic codes that can be used with appropriate software to prepare maps. Other geographic information contained in the files includes attributes such as feature identifiers/census feature class codes (CFCC) used to differentiate feature types, address ranges and ZIP Codes, codes for legal and statistical entities, latitude/longitude coordinates of linear and point features, landmark point features, area landmarks, key geographic features, and area boundaries. The Census 2000 TIGER/Line data dictionary contains a complete list of all the fields in the 17 record types. Note: Complete metadata is available within the downloaded zip file. This metadata can be viewed with ESRI ArcGIS software, and can be exported to FGDC and ISO metadata formats.

TIGER, TIGER/Line, and Census TIGER are registered trademarks of the U.S. Census Bureau. ZCTA is a trademark of the U.S. Census Bureau. The Census 2000 TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER data base. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on January 1, 2000 legal boundaries. A complete set of Census 2000 TIGER/Line files includes all counties and statistically equivalent entities in the United States, Puerto Rico, and the Island Areas. The Census TIGER data base represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The Census 2000 TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. The boundary information in the TIGER/Line files are for statistical data collection and tabulation purposes only; their depiction and designation for statistical purposes does not constitute a determination of jurisditional authority or rights of ownership or entitlement. The Census 2000 TIGER/Line files do NOT contain the Census 2000 urban areas which have not yet been delineated. The files contain information distributed over a series of record types for the spatial objects of a county. There are 17 record types, including the basic data record, the shape coordinate points, and geographic codes that can be used with appropriate software to prepare maps. Other geographic information contained in the files includes attributes such as feature identifiers/census feature class codes (CFCC) used to differentiate feature types, address ranges and ZIP Codes, codes for legal and statistical entities, latitude/longitude coordinates of linear and point features, landmark point features, area landmarks, key geographic features, and area boundaries. The Census 2000 TIGER/Line data dictionary contains a complete list of all the fields in the 17 record types. Note: Complete metadata is available within the downloaded zip file. This metadata can be viewed with ESRI ArcGIS software, and can be exported to FGDC and ISO metadata formats.

This dataset provides the spatial distribution of vegetation types, soil carbon, and physiographic features in the Imnavait Creek area, Alaska. Specific attributes include vegetation, percent water, glacial geology, soil carbon, a digital elevation model (DEM), surficial geology and surficial geomorphology. Data are also provided on the research grids for georeferencing. The map data are from a variety of sources and encompass the period 1970-06-01 to 2015-08-31.

The Doorstep Greens initiative provides new or renovated areas of public open space close to people's homes that could be enjoyed permanently by the local community. The initiative is a joint Natural England and New Opportunities Fund project. The initiative is aimed at targeting communities who experience disadvantage and where regeneration of the local environment and outdoor recreation provision is sorely needed. They could be small or large, and in urban or rural locations.

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The United States Office of the Geographer provides the Large Scale International Boundary (LSIB) dataset. The detailed version (2013) is derived from two other datasets: a LSIB line vector file and the World Vector Shorelines (WVS) from the National Geospatial-Intelligence Agency (NGA). The interior boundaries reflect U.S. government policies on boundaries, boundary disputes, and sovereignty. The exterior boundaries are derived from the WVS; however, the WVS coastline data is outdated and generally shifted from between several hundred meters to over a kilometer. Each feature is the polygonal area enclosed by interior boundaries and exterior coastlines where applicable, and many countries consist of multiple features, one per disjoint region. Compared with the detailed LSIB, in this simplified dataset some disjointed regions of each country have been reduced to a single feature. Furthermore, it excludes medium and smaller islands. The resulting simplified boundary lines are rarely shifted by more than 100 meters from the detailed LSIB lines. Each of the 312 features is a part of the geometry of one of the 284 countries described in this dataset.

March 2024

This data set is the Former Soviet Union (FSU) portion of the Generalized World Forest Map (WCMC, 1998), a 1-kilometer resolution generalized forest cover map for the land area of the Former Soviet Union. There are five forest classes in the original global generalized map. Only two of those classes were distinguished in the geographical portion comprising the FSU.

The BOREAS RSS-08 team utilized Landsat TM images to perform mapping of snow extent over the SSA. This data set consists of two Landsat TM images which were used to determine the snow-covered pixels over the BOREAS SSA on 18-Jan-1993 and on 06-Feb-1994. Companion files include example thumbnail images that may be viewed using a convenient viewer utility.

This data set provides map images of hydrographic, morphologic, and edaphic features for the northern Amazon Basin in eastern Ecuador. The hydrographic data are available at two scales based on the 1:50,000 and 1:250,000-scale topographic source maps that were generated in 1990 and 1993, respectively. Morphological and edaphological data were digitized from a 1:500,000 map published in 1983. There are 3 compressed (*.zip) data files with this data set.

This dataset exceeds the size and feature limits of the Shapefile format, so is unavailable on the Natural England Open Data Geoportal in that format. Please select ESRI File Geodatabase or another format to download. The Priority Habitat Inventory is a spatial dataset that maps priority habitats identified in the UK Biodiversity Action Plan and listed as being of principal importance for the purpose of conserving or enhancing biodiversity, under Section 41 of the Natural Environment and Rural Communities Act (2006).Habitats mapped in the PHIThe PHI currently maps 27 terrestrial and freshwater priority habitats across England. Priority Habitat NameHabCodeBlanket bogBLBOGCalaminarian grasslandCALAMCoastal & floodplain grazing marshCFPGMCoastal saltmarshSALTMCoastal sand dunesCSDUNCoastal vegetated shingleCVSHIDeciduous woodlandDWOODLimestone pavementsLPAVELowland calcareous grasslandLCGRALowland dry acid grasslandLDAGRLowland fensLFENSLowland heathlandLHEATLowland meadowsLMEADLowland raised bogLRBOGMaritime cliff & slopeMCSLPMountain heath & willow scrubMHWSCMudflatsMUDFLPurple moor grass & rush pasturesPMGRPReedbedsRBEDSSaline lagoonsSLAGOTraditional orchardsTORCHUpland calcareous grasslandUCGRAUpland hay meadowsUHMEAUpland heathlandUHEATUpland flushes, fens & swampsUFFSWLakesLAKESPondsPONDSNon Priority Habitats mapped in the PHIThe PHI also includes four habitat classes which are not priority habitats, but which hold potential importance for conservation of biodiversity in England. These can indicate a mosaic of habitat which may contain priority habitats, have restoration potential and/or contribute to ecological networks. Where evidence indicates the presence of unmapped or fragmented priority habitats within such polygons, these are attributed as additional habitats. Non-Priority Habitat NameHabCodeDescriptionFragmented heathFHEATThis refers to areas of degraded and relict upland heathland, typically in a mosaic with acid grassland that fails to meet the Upland Heathland priority habitat definition.Grass moorlandGMOORThis includes large areas of upland grassland, which may contain mosaics of priority habitat, but tends to be species-poor, grass dominated acid grassland above the moorland line.Good quality semi-improved grasslandGQSIGThis includes grasslands with biodiversity value that do not meet priority grassland habitat definitions.No main habitatNMHABIn some cases, a priority habitat may be present within a polygon, but its extent may be less than the minimum mapping unit, or it may not be accurately mappable. Feature Descriptions and CodesFor some polygons the PHI contains additional information about the main habitats in the form of feature descriptions and corresponding feature codes. These are new fields to the PHI and currently only sparsely populated. We expect the use of these fields to expand over coming updates with new features and codes. Feature DescriptionFeature CodePriority ponds and lakesOligotrophic lakesOLIGODystrophic lakesDYSTRMesotrophic lakesMESOTEutrophic standing watersEUTROIce age pondICEAGPond with floating matsPWFLMDeciduous woodlandUpland oakwoodUPOWDLowland beech and yew woodlandLBYWDUpland mixed ashwoodsUMAWDWet woodlandWETWDLowland mixed deciduous woodlandLMDWDUpland birchwoodsUPBWDAncient semi natural woodlandASNWDPlantations on ancient woodlandPAWDSGrasslandCountryside Stewardship OptionCSOPTWaxcap grasslandWAXCPHeathlandDry heathlandDRYHLWet heathlandWETHLCoastal sand dunesDunes under coniferous woodlandCWDUNDunes under deciduous woodlandDWDUNGeneralDegradedDEGRDSpatial framework: Wherever possible habitats are mapped to polygons in OS Mastermap. These polygons are merged or split where necessary to create resulting habitat patches.Coverage: EnglandUpdate Frequency: The PHI is updated twice a year.Metadata: Full metadata can be viewed on data.gov.uk.Uses include: National planning and targeting for nature recovery; agri-environment scheme targeting; local development planning; Local Nature Recovery Strategies.Contact: If you have any questions or feedback regarding the Priority Habitats’ Inventory, please contact the Habitats’ Inventory Project Team at the following email address.HabitatInventories@naturalengland.org.uk Attributes AliasField nameExample ValueDescriptionMain habitatsMainHabsLowland dry acid grassland, Lowland heathlandName(s) of habitat(s) present in the polygon.Habitat codesHabCodesLDAGR, LHEATList of codes(s) representing main habitat(s) present in the polygon.Habitat feature descriptionsFeatDescDry heathlandAdditional information about the nature of the habitat or features present.Habitat feature codesFeatCodesDRYHLList of code(s) corresponding to the habitat feature descriptions.Other habitat classificationsOtherClassPhase1(D5)Additional habitat classification information relating to main habitats.Additional habitats presentAddHabsGQSIG, LFENSList of code(s) for additional habitats that may be present within the polygon.Primary data sourcesPrimSourceNatural England's SSSI database ENSIS (LDAGR), Northumberland County Council Phase 1 Survey 2003 (LHEAT)List of primary sources for the main habitats present in the polygon, with corresponding HabCode in brackets.Area in hectaresAreaHa0.14Polygon area in hectares rounded to one decimal place.Publication versionVersionJuly_24Date of publication for the current PHI update: Month_Year.Unique IDUIDPHIDXXXXXXXXXX _YYYYYYYYYYYUnique ID for the polygon based on XY location coordinates.

The Filled Land Surface Albedo Product for Southern Africa, which is generated from MOD43B3 Product (the official Terra/MODIS-derived Land Surface Albedo - http://geography.bu.edu/brdf/userguide/albedo.html ), is a subset of the global data set of spatially complete albedo maps computed for both white-sky and black-sky at 10 wavelengths. The data spatial extent is from approximately 5 degrees N to -30 degrees S latitude and 5 minutes E to 60 degrees E longitude and covers 7 sixteen day periods starting on July 11 through October 15, 2000.Map Products, containing spatially complete land surface albedo data, are generated at 1-minute resolution on an equal-angle grid. The maps are stored in separate HDF files for each wavelength, each 16-day period and each albedo type (white- and black-sky). Data belonging to black sky and white sky albedo have been zipped separately. This format allows the user to have flexibility to download and store only the data absolutely needed.The One-Minute Land Ecosystem Classification Product is a global (static map) data set of the International Geosphere-Biosphere Programme (IGBP) classification scheme stored on an equal-angle rectangular grid at 1-minute resolution. The dataset is generated from the official MODIS land ecosystem classification dataset, MOD12Q1 for year 2000, day 289 data (October 15, 2000). This dataset is used in generating the spatially complete albedo maps, but is also a stand-alone product designed for use by the user community. The Land Ecosystem Classification Map File product file is stored in Hierarchical Data Format (HDF).

These DEMs were produced from digitized contours at a cell resolution of 100 meters. Vector contours of the area were used as input to a software package that interpolates between contours to create a DEM representing the terrain surface. The vector contours had a contour interval of 25 feet. The data cover the BOREAS MSAs of the SSA and NSA and are given in a UTM map projection.

This dataset provides a land cover map focused on peatland ecosystems in the upper peninsula of Michigan. The map was produced at 12.5-m resolution using a multi-sensor fusion (optical and L-band SAR) approach with imagery from Landsat-5 TM and ALOS PALSAR collected between 2007 and 2011. A random forest classifier trained with polygons delineated from field data and aerial photography was used to determine pixel classes. Accuracy assessment based on field-sampled sites show high overall map accuracy (92%).