This dataset contains level 2 vector formatted data derived from the Centre of Ecology and Hydrology's (CEH) Land Cover Map 2000 (LCM2000) data for the Thorney Island, South Coast of England, UK, NCAVEO calibration/validation (cal/val) test site. The NERC funded Network for Calibration and Validation of EO (NCAVEO) campaign was designed to illustrate and explain the processes involved in cal/val of earth observation data.

This dataset contains 25m resolution raster formatted data derived from the Centre of Ecology and Hydrology's (CEH) Land Cover Map 2000 (LCM2000) data for the Thorney Island, South Coast of England, UK, NCAVEO calibration/validation (cal/val) test site. The NERC funded Network for Calibration and Validation of EO (NCAVEO) campaign was designed to illustrate and explain the processes involved in cal/val of earth observation data.

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 50 main crop types, grassland, and non-agricultural land covers, such as Trees, 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 and Sentinel-2 images during the period late January 2017 – August 2017. 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. Refer to the CROME specification document. Attribution statement: © Rural Payments Agency

The Crop Map of England (CROME) South East 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 and Sentinel-2 images during the period late January 2016 – August 2016. 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. refer to the CROME specification document Attribution statement: © Rural Payments Agency

This dataset consists of an interactive map (and supporting guidance) containing background information that informs how we understand flood risk across the South West River Basin District. The map shows the River Basin District, component river basins and the coastline together with layers showing land use and topography.

This dataset together with equivalent datasets for each River Basin District, supports the Preliminary Flood Risk Assessment for England report which has been written to meet the requirements of the Flood Risk Regulations (2009) - to complete an assessment of flood risk and produce supporting maps of river catchments.

This map was produced as part of the site selection process for the Greater Thames Estuary AoS. It aimed to characterise the habitat features of the AoS, and to identify the areas of Annex I habitat present.

This layer is deprecated.The generalised BGS geology data is now available in the ArcGIS Living Atlas hereGeneralised digital geological map data based on BGS's published poster maps of the UK (North and South). Bedrock related themes created by generalisation of 1:50 000 data to make the 2007 fifth edition Bedrock Geology map.

Superficial related themes digitised from 1977 first edition Quaternary map (North and South).

Many BGS geology maps are now available digitally. The Digital Geological Map of Great Britain project (DiGMapGB) has prepared 1:625 000, 1:250 000, 1:50 000 and 1:10 000 scale datasets for England, Wales and Scotland. Work continues to upgrade these.

The geological areas (or polygons) are labelled or attributed with a name (based on their lithostratographical, chronostratographical or lithodemic nomenclature) and their composition (rock type or lithology). This information is arranged in two themes: bedrock geology and superficial deposits. Faults and other linear features are available in a separate theme.

Geology maps are the foundation for many other types of earth science related maps and are of potential use to a wide range of customers.The original dataset can be found here.

A PDF map showing the output areas in the South East Region of England as at December 2011. (File Size - 29 MB)

A PDF map showing the Rural Urban Classification (2011) of the LSOAs in the South East Region. (File Size - 2 MB)

This is a web map service (WMS) of Digital Surface Model (DSM) data in South West England at a 1m resolution. The DSM covers an area of 9424 km2 that includes all the land west of Exmouth (i.e. west of circa 3 degrees 21 minutes West). The DSM includes the height of features on the bare earth such as buildings or vegetation (if present). The dataset is a part of outcomes from the Centre for Ecology & Hydrology South West (SW) Project.

This is a web map service (WMS) of Digital Terrain Model (DTM) data in South West England at a 1m resolution. The DTM covers an area of 9424 km2 that includes all the land west of Exmouth (i.e. west of circa 3 degrees 21 minutes West). The DTM represents the topographic model (height) of the bare earth. The dataset is a part of outcomes from the Centre for Ecology & Hydrology South West (SW) Project.

This data is experimental, see the ‘Access Constraints or User Limitations’ section for more details. This dataset has been generalised to 10 metre resolution where it is still but the space needed for downloads will be improved.A set of UK wide estimated travel area geometries (isochrones), from Output Area (across England, Scotland, and Wales) and Small Area (across Northern Ireland) population-weighted centroids. The modes used in the isochrone calculations are limited to public transport and walking. Generated using Open Trip Planner routing software in combination with Open Street Maps and open public transport schedule data (UK and Ireland).The geometries provide an estimate of reachable areas by public transport and on foot between 7:15am and 9:15am for a range of maximum travel durations (15, 30, 45 and 60 minutes). For England, Scotland and Wales, these estimates were generated using public transport schedule data for Tuesday 15th November 2022. For Northern Ireland, the date used is Tuesday 6th December 2022.The data is made available as a set of ESRI shape files, in .zip format. This corresponds to a total of 17 files; one for Northern Ireland, one for Wales, eleven for England (one per English region, where London, and North West have been split into two files each) and four for Scotland (one per NUTS2 region, where the ‘North-East’ and ‘Highlands and Islands’ have been combined into one shape file, and South West Scotland has been split into two files).The shape files contain the following attributes. For further details, see the ‘Access Constraints or User Limitations’ section:AttributeDescriptionOA21CD or SA2011 or OA11CDEngland and Wales: The 2021 Output Area code.Northern Ireland: The 2011 Small Area code.Scotland: The 2011 Output Area code.centre_latThe population-weighted centroid latitude.centre_lonThe population-weighted centroid longitude.node_latThe latitude of the nearest Open Street Map “highway” node to the population-weighted centroid.node_lonThe longitude of the nearest Open Street Map “highway” node to the population-weighted centroid.node_distThe distance, in meters, between the population-weighted centroid and the nearest Open Street Map “highway” node.stop_latThe latitude of the nearest public transport stop to the population-weighted centroid.stop_lonThe longitude of the nearest public transport stop to the population-weighted centroid.stop_distThe distance, in metres, between the population-weighted centroid and the nearest public transport stop.centre_inBinary value (0 or 1), where 1 signifies the population-weighted centroid lies within the Output Area/Small Area boundary. 0 indicates the population-weighted centroid lies outside the boundary.node_inBinary value (0 or 1), where 1 signifies the nearest Open Street Map “highway” node lies within the Output Area/Small Area boundary. 0 indicates the nearest Open Street Map node lies outside the boundary.stop_inBinary value (0 or 1), where 1 signifies the nearest public transport stop lies within the Output Area/Small Area boundary. 0 indicates the nearest transport stop lies outside the boundary.iso_cutoffThe maximum travel time, in seconds, to construct the reachable area/isochrone. Values are either 900, 1800, 2700, or 3600 which correspond to 15, 30, 45, and 60 minute limits respectively.iso_dateThe date for which the isochrones were estimated, in YYYY-MM-DD format.iso_typeThe start point from which the estimated isochrone was calculated. Valid values are:from_centroid: calculated using population weighted centroid.from_node: calculated using the nearest Open Street Map “highway” node.from_stop: calculated using the nearest public transport stop.no_trip_found: no isochrone was calculated.geometryThe isochrone geometry.iso_hectarThe area of the isochrone, in hectares.Access constraints or user limitations.These data are experimental and will potentially have a wider degree of uncertainty. They remain subject to testing of quality, volatility, and ability to meet user needs. The methodologies used to generate them are still subject to modification and further evaluation.These experimental data have been published with specific caveats outlined in this section. The data are shared with the analytical community with the purpose of benefitting from the community's scrutiny and in improving the quality and demand of potential future releases. There may be potential modification following user feedback on both its quality and suitability.For England and Wales, where possible, the latest census 2021 Output Area population weighted centroids were used as the starting point from which isochrones were calculated.For Northern Ireland, 2011 Small Area population weighted centroids were used as the starting point from which isochrones were calculated. Small Areas and Output Areas contain a similar number of households within their boundaries. 2011 data was used because this was the most up-to-date data available at the time of generating this dataset. Population weighted centroids for Northern Ireland were calculated internally but may be subject to change - in the future we aim to update these data to be consistent with Census 2021 across the UK.For Scotland, 2011 Output Area population-weighted centroids were used as the starting point from which isochrones were calculated. 2011 data was used because this was the most up-to-date data available at the time of work.The data for England, Scotland and Wales are released with the projection EPSG:27700 (British National Grid).The data for Northern Ireland are released with the projection EPSG:29902 (Irish Grid).The modes used in the isochrone calculations are limited to public transport and walking. Other modes were not considered when generating this data.A maximum value of 1.5 kilometres walking distance was used when generating isochrones. This approximately represents typical walking distances during a commute (based on Department for Transport/Labour Force Survey data and Travel Survey for Northern Ireland technical reports).When generating Northern Ireland data, public transport schedule data for both Northern Ireland and Republic of Ireland were used.Isochrone geometries and calculated areas are subject to public transport schedule data accuracy, Open Trip Planner routing methods and Open Street Map accuracy. The location of the population-weighted centroid can also influence the validity of the isochrones, when this falls on land which is not possible or is difficult to traverse (e.g., private land and very remote locations).The Northern Ireland public transport data were collated from several files, and as such required additional pre-processing. Location data are missing for two bus stops. Some services run by local public transport providers may also be missing. However, the missing data should have limited impact on the isochrone output. Due to the availability of Northern Ireland public transport data, the isochrones for Northern Ireland were calculated on a comparable but slight later date of 6th December 2022. Any potential future releases are likely to contained aligned dates between all four regions of the UK.In cases where isochrones are not calculable from the population-weighted centroid, or when the calculated isochrones are unrealistically small, the nearest Open Street Map ‘highway’ node is used as an alternative starting point. If this then fails to yield a result, the nearest public transport stop is used as the isochrone origin. If this also fails to yield a result, the geometry will be ‘None’ and the ‘iso_hectar’ will be set to zero. The following information shows a further breakdown of the isochrone types for the UK as a whole:from_centroid: 99.8844%from_node: 0.0332%from_stop: 0.0734%no_trip_found: 0.0090%The term ‘unrealistically small’ in the point above refers to outlier isochrones with a significantly smaller area when compared with both their neighbouring Output/Small Areas and the entire regional distribution. These reflect a very small fraction of circumstances whereby the isochrone extent was impacted by the centroid location and/or how Open Trip Planner handled them (e.g. remote location, private roads and/or no means of traversing the land). Analysis showed these outliers were consistently below 100 hectares for 60-minute isochrones. Therefore, In these cases, the isochrone point of origin was adjusted to the nearest node or stop, as outlined above.During the quality assurance checks, the extent of the isochrones was observed to be in good agreement with other routing software and within the limitations stated within this section. Additionally, the use of nearest node, nearest stop, and correction of ‘unrealistically small areas’ was implemented in a small fraction of cases only. This culminates in no data being available for 8 out of 239,768 Output/Small Areas.Data is only available in ESRI shape file format (.zip) at this release.https://www.openstreetmap.org/copyright

The HABMAP project was set up in response to the need for better spatial awareness of habitat distributions in the Southern Irish Sea. This work produced habitat maps of the seabed using novel predictive modelling techniques. This dataset is related to the predictive modelling only. The HABMAP Extension Project has built on the methods developed during the original project, and has repeated the modelling work using higher resolution / improved input datasets to help increase the accuracy of the predictive map outputs. The modelling work has also been extended to cover all of Welsh waters (previously cut-off at the Interreg funding boundary), notably including the Dee and Severn estuaries. The purpose of this data capture was to provide seabed habitat maps that could be used for con servation and management. Project outputs might be used in strategic planning, decision making for offshore developments, Marine Protected Area selection, sensitivity mapping and mapping essential fish habitats. However, because of the way the has been produced, and the fact that some data has been modelled and derived, the maps are not appropriate to act as the sole evidence for any specific planning or regulatory decision or assessment without further supporting studies or evidence.

The project boundaries were as follows: Southern Irish Sea- land-based boundaries include the whole Welsh coast to the English border on the east side of the Dee Estuary in the north, and the whole Severn Estuary and Bristol Channel coastline in the south, extending as far as Morte Point (east of Ifracombe) in England. The southern project boundary then extends offshore (skirting the northern tip of Lundy) across to a point approx 60km west of Waterford on the Irish coast, including the whole SE Ireland coastline and offshore banks as well as parts of the Celtic Sea. The boundary then extends northwards along the Irish coast to a point approximately 40 km north of Dublin.

The Feature Layer made available to the Living Atlas has been adapted from the 625k Geology dataset freely available from the BGS website. The attribution and labels of the geological areas (or polygons) have been simplified to make the data more available to a wider audience. The dataset is aimed at students with an interest in Earth Sciences and amateur geologists who want to find out more. The LEX_RCS & LEX_ROCK codes have been preserved to allow users to reference the layers to to the 625k Geology Dataset.

About BGS Geology 625k:

BGS Geology 625k is a generalised digital geological map dataset based on BGS’s published poster maps of the UK (north and south). Bedrock-related themes were created by generalisation of 1:50 000 data to make the 2007 fifth edition bedrock geology map. Superficial geology-related themes were digitised from the 1977 first edition Quaternary map (north and south). Many BGS geology maps are now available digitally. The Digital Geological Map of Great Britain project (formerly known as DiGMapGB) has prepared 1:625 000, 1:250 000, 1:50 000 and 1:10 000-scale datasets for England, Wales, and Scotland. Work continues to upgrade these. Geological maps are often the foundation for many other earth science-related maps and are of potential use to a wide range of end users. This dataset uses the themes:

Bedrock Geology Superficial Geology Linear features (faults)

More information on the BGS 625k Geology Dataset can be found on the BGS website.  The 625k Geology data can also be viewed alongside other BGS datasets in the GeoIndex viewer. The currency of this data is August 2022, while there are no planned regular updates, BGS continuously reviews its data products and will release new versions of the BGS Geology 625k when available.

This map shows the extents of the various datasets comprising the World Elevation services – Terrain and TopoBathy.Topography SourcesThe Le système d'information du territoire à Genève (SITG) 0.5 meters DTM covers metropolitan Grand Geneva region of France and Switzerland.The Amt für Geoinformation Basel-Landschaft 0.25 meters DTM covers Canton of Basel-Landschaft, Switzerland.The Amt für Geoinformation Solothurn 0.5 meters DTM covers Canton of Solothurn, Switzerland.The Aargauische Geografische Informationssystem (AGIS) 0.5 meters DTM covers Canton of Aargau, Switzerland.The Amt für Raumentwicklung, Kanton Zürich 0.5 meters DTM covers Canton of Zurich, Switzerland.Ayuntamiento de Madrid 1 meter DTM covers entire Madrid city, Spain.The Instituto Geográfico Nacional (IGN) 5 and 10 meters DTM covers entire Spain.The Environment Agency 2 meters DTM covers 70 % of England.The Natural Resources Wales 2 meters DTM covers 70 % of Wales.The Scottish Government 1 meter DTM covers partial areas of Scotland.The AHN Netherlands (AHN2) 3 meters* DTM covers entire Netherlands.The Geospatial Information Authority of Japan (GSI) 0.2 arc second (approx. 5 meters) DEM5A & DEM5B covers partial areas of Japan and 0.4 arc second (approx. 10 meters) DEM10B covers entire Japan. Fundamental Geospatial Data provided by GSI with Approval Number JYOU-SHI No.1239 2016.The Geoland 10 meters DTM covers entire Austria.City of Vienna 1 meter DTM covers entire Vienna city, Austria.Land Oberösterreich 0.5 meters DTM covers entire state of Upper Austria, Austria.Land Salzburg 5 meters DTM covers entire state of Salzburg, Austria.Land Vorarlberg 5 meters DTM covers entire state of Vorarlberg, Austria.Land Tyrol 5 meters DTM covers entire state of Tyrol, Austria.Land Carinthia 5 meters DTM covers entire state of Carinthia, Austria.The Estonian Land Board 1, 5 and 10 meters DTM’s covers entire Estonia.Land NRW 1 meter DTM covers entire state of Nordrhein-Westfalen, Germany.The Geodatastyrelsen DTM (approx. 3 meters* and 10 meters) dataset covers entire Denmark.The National Land Survey of Finland 3 meters* and 10 meters DTM covers partial areas of Finland and entire Finland respectively.The Norwegian Mapping Authority 10 m DTM covers entire Norway.The Ordnance Survey’s OS Terrain 50 (50 meters) dataset covers Great Britain.The Natural Resources Conservation Service (NRCS), USDA 1 meter dataset covers partial areas of the conterminous United States.The FEMA LiDAR DTM (approx. 3 meters) covers partial areas of the conterminous United States.The USGS 3D Elevation Program’s (3DEP) 1 meter dataset covers partial areas of the conterminous United States.The National Elevation Dataset (NED) 1/9 arc second (approx. 3 meters) dataset covers partial areas of the conterminous United States and small areas of Alaska.The National Elevation Dataset (NED) 1/3 arc second (approx. 10 meters) dataset covers the conterminous United States, Hawaii, partial Alaska, and Territorial Islands of the United States.The National Elevation Dataset (NED) 1 arc second (approx. 31 meters) dataset covers the conterminous United States, Hawaii, partial Alaska, Puerto Rico, Territorial Islands of the United States, Canada and Mexico.The National Elevation Dataset (NED) 2 arc second (approx. 62 meters) dataset covers the state of Alaska.WorldDEM4Ortho 0.8 arc second (approx. 24 meters) dataset from Airbus Defense and Space GmbH covers entire earth's land surface excluding the countries of Azerbaijan, DR Congo and Ukraine.The Shuttle Radar Topography Mission (SRTM) 1 arc second (approx. 31 meters) dataset from NASA covers all land areas between 60 degrees north and 56 degrees south except Australia (which is covered by DEM-S from Geoscience Australia).The Shuttle Radar Topography Mission (SRTM) 1 arc second (approx. 31 meters) DEM-S dataset from Geoscience Australia covers Australia.The Shuttle Radar Topography Mission (SRTM) 3 arc second (approx. 93 meters) dataset covers all land areas between 60 degrees north and 56 degrees south.The EarthEnv-DEM90 3 arc second (approx. 93 meters) dataset covers approx. 90% of globe.Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010) 7.5, 15 and 30 arc second (approx. 232, 464 and 928 meters) datasets cover global land areas.Bathymetry SourcesBureau of Ocean Energy Management (BOEM) 40 feet (approx. 12 meters) deepwater bathymetry grid covers northern Gulf of Mexico.NCEI NOAA's 1/9 arc second (approx. 3 meters) dataset covers Puerto Rico, U.S Virgin Islands and partial areas of eastern and western United States coast.NCEI NOAA's 1/3 arc second (approx. 10 meters) dataset covers partial areas of eastern and western United States coast.NCEI NOAA's 1 arc second (approx. 31 meters) dataset covers partial areas of northeastern United States coast.NCEI NOAA's 3 arc second (approx. 93 meters) dataset covers partial areas of northeastern United States coast.NOAA's U.S. Coastal Relief Model (CRM) 1 arc second (approx. 31 meters) covers Southern California Coast (Version 2).NOAA's U.S. Coastal Relief Model (CRM) 3 arc second (approx. 93 meters) covers United States Coast.Geoscience Australia’s Indian Ocean Bathymetry 150 meters covers MH370 flight search area (Phase 1).General Bathymetric Chart of the Oceans (GEBCO) 30 arc second (approx. 928 meters) dataset covers the entire globe (GEBCO 2014 version 20150318).* The original source data resampled to approx. 3 meters.** Bathymetry datasets are part of TopoBathy service only.Disclaimer: Bathymetry data sources are not to be used for navigation/safety at sea.

The data consists of a matrix of twelve land cover classes by 20 stream sites with the area of each land cover class given in km^2. The areal coverage (km2) of each of twelve land cover classes was recorded for each of 20 chalkstream catchments in southern England. The 20 discrete chalkstream catchments are distributed along the white chalk geology extending from Dorset in the south west, through Wiltshire, to Hampshire in the north east, to cover a gradient of catchment land cover intensification from extensive calcareous grassland and woodland through to arable and improved grasslands. These data were acquired in July 2012. This dataset was created as part of work package 3.1 of the Wessex Biodiversity & Ecosystem Service Sustainability (BESS) project. Full details about this dataset can be found at https://doi.org/10.5285/b8a66584-da67-49e5-a0b0-d8e0b3e75b99

Coastline for Antarctica created from various mapping and remote sensing sources, consisting of the following coast types: ice coastline, rock coastline, grounding line, ice shelf and front, ice rumple, and rock against ice shelf. Covering all land and ice shelves south of 60°S. Suitable for topographic mapping and analysis. High resolution versions of ADD data are suitable for scales larger than 1:1,000,000. The largest suitable scale is changeable and dependent on the region.

Major changes in v7.5 include updates to ice shelf fronts in the following regions: Seal Nunataks and Scar Inlet region, the Ronne-Filchner Ice Shelf, between the Brunt Ice Shelf and Riiser-Larsen Peninsula, the Shackleton and Conger ice shelves, and Crosson, Thwaites and Pine Island. Small areas of grounding line and ice coastlines were also updated in some of these regions as needed.

Data compiled, managed and distributed by the Mapping and Geographic Information Centre and the UK Polar Data Centre, British Antarctic Survey on behalf of the Scientific Committee on Antarctic Research.

Further information and useful links

Map projection: WGS84 Antarctic Polar Stereographic, EPSG 3031. Note: by default, opening this layer in the Map Viewer will display the data in Web Mercator. To display this layer in its native projection use an Antarctic basemap.

The currency of this dataset is May 2022 and will be reviewed every 6 months. This feature layer will always reflect the most recent version.

For more information on, and access to other Antarctic Digital Database (ADD) datasets, refer to the SCAR ADD data catalogue.

A related medium resolution dataset is also published via Living Atlas, as well medium and high resolution polygon datasets.

For background information on the ADD project, please see the British Antarctic Survey ADD project page.

Lineage

Dataset compiled from a variety of Antarctic map and satellite image sources. The dataset was created using ArcGIS and QGIS GIS software programmes and has been checked for basic topography and geometry checks, but does not contain strict topology. Quality varies across the dataset and certain areas where high resolution source data were available are suitable for large scale maps whereas other areas are only suitable for smaller scales. Each line has attributes detailing the source which can give the user further indications of its suitability for specific uses. Attributes also give information including 'surface' (e.g. grounding line, ice coastline, ice shelf front) and revision date. Compiled from sources ranging in time from 1990s-2022 - individual lines contain exact source dates.

Coal resource maps for the whole of the UK have been produced by the British Geological Survey as a result of joint work with Department of Trade and Industry and the Coal Authority. The Coal Resources Map is a Map of Britain depicting the spatial extent of the principal coal resources. The map shows the areas where coal and lignite are present at the surface and also where coal is buried at depth beneath younger rocks. The maps are intended to be used for resource development, energy policy, strategic planning, land-use planning, the indication of hazard in mined areas, environment assessment and as a teaching aid. In addition to a general map of coal resources for Britain data also exists for the six inset maps: Scotland; North-East; North-West; East Pennines; Lancashire, North Wales and the West Midlands; South Wales, Forest of Dean and Bristol. Available as a paper map, flat or folded, from BGS Sales or as a pdf on a CD if requested.

A PDF map showing the middle layer super output areas in the South East Region of England as at December 2011. (File Size - 26 MB)