https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences
A PDF map that shows the counties and unitary authorities in the United Kingdom as at 1 April 2023. (File Size - 583 KB)
An index to over 600 ground geophysical surveys carried out in the UK for a variety of projects. A large number of these surveys were done in conjunction with the DTI Mineral Reconnaissance Programme in the 1970's and 80's, and many others were carried out at the request of BGS field mapping groups. Information held describes the survey objective, location of measurements, geophysical methods and equipment used, reports and publications, storage locations of data and results (for analogue and digital data), dates and personnel. There are two datasets; one shows the outline of the survey areas, and the other shows the actual survey lines within each area.
https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences
A PDF map that shows the local authority districts, counties and unitary authorities in the United Kingdom as at April 2023. The map has been created to show the United Kingdom from country level down to local authority district level. (File Size - 1,909 KB)
Historic Flood Map is a GIS layer showing the maximum extent of all individual Recorded Flood Outlines from river, the sea and groundwater springs and shows areas of land that have previously been subject to flooding in England. Records began in 1946 when predecessor bodies to the Environment Agency started collecting detailed information about flooding incidents, although we may hold limited details about flooding incidents prior to this date. This dataset differs from the Recorded Flood Outline dataset in that it contains only those flood outlines that are 'considered and accepted' if the following criteria are met:photographic/video evidence with the location referencedrecorded flood levels with the location referencedevidence that the outline represents the time of peak water level (for example date / time stamped photo)evidence that the source of flooding is from rivers, the sea or groundwater and not surface water/overland runoff. The absence of coverage by the Historic Flood Map for an area does not mean that the area has never flooded, only that we do not currently have records of flooding in this area. It is also possible that the pattern of flooding in this area has changed and that this area would now flood under different circumstances. The Historic Flood Map will take into account of the presence of defences, structures, and other infrastructure where they existed at the time of flooding. It will include flood extents that may have been affected by overtopping, breaches or blockages. Flooding shown to the land and does not necessarily indicate that properties were flooded internally. The Historic Flood Map consists of spatial data only.
https://vocab.nerc.ac.uk/collection/L08/current/CC/https://vocab.nerc.ac.uk/collection/L08/current/CC/
A series of approximately 3250 navigational charts covering the world. The series is maintained by Admiralty Notices to Mariners issued every week. New editions or new charts are published as required. Two thirds of the series are now available in metric units.
In areas where the United Kingdom is, or until recently has been, the responsible hydrographic authority - i.e. Home Waters, some Commonwealth countries, British colonies, and certain areas like the Gulf, Red Sea and parts of the eastern Mediterranean - the Admiralty charts afford detailed cover of all waters, ports and harbours. These make up about 30 per cent of the total series. Modern charts in these areas usually have a source data diagram showing the sources from which the chart was compiled. The quantity and quality of the sources vary due to age and the part of the world the chart depicts. The other 70 per cent are derived from information on foreign charts, and the Admiralty versions are designed to provide charts for ocean passage and landfall, and approach and entry to the major ports.
The series contains charts on many different scales, but can be divided very broadly as follows:
Route planning 1:10 million Ocean planning 1:3.5 million Coast approach or landfall identification 1:1 million Coasting 1:300,000 to 1:200,000 Intricate or congested coastal waters 1:150,000 to 1:75,000 Port approach 1:50,000 or larger Terminal installation 1:12,500 or larger
Charts on scales smaller than 1:50,000, except in polar regions, are on Mercator projection. Since 1978 all charts on 1:50,000 and larger have been produced on Transverse Mercator projection. Prior to 1978 larger scale charts were on a modified polyconic projection referred to as 'gnomonic', not to be confused with the true Gnomonic projection.
Most of the detail shown on a chart consists of hydrographic information - soundings (selected spot depths) in metres (on older charts in fathoms or feet) reduced to a stated vertical datum; depth contours; dredged channels; and the nature of the seabed and foreshore. Features which present hazards to navigation, fishing and other marine operations are also shown. These include underwater rocks and reefs; wrecks and obstructions; submarine cables and pipelines and offshore installations. Shallow water areas are usually highlighted with pale blue tint(s). Also shown are aids established to assist the navigator - buoys, beacons, lights, fog signals and radio position finding and reporting services; and information about traffic separation schemes, anchorages, tides, tidal streams and magnetic variation. Outline coastal topography is shown especially objects of use as fixing marks. As a base for navigation the chart carries compass roses, scales, horizontal datum information, graduation (and sometimes land map grids), conversion tables and tables of tidal and tidal stream rates.
https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences
This file contains the digital vector boundaries for Counties and Unitary Authorities in the United Kingdom, as at December 2019. The boundaries available are: (BUC) Ultra Generalised (500m) - clipped to the coastline (Mean High Water mark). Contains both Ordnance Survey and ONS Intellectual Property Rights. Download File SizesUltra Generalised (500m) - clipped to the coastline (200 KB)Units for the following fields:St_length = metresSt_area = metres2REST URL of ArcGIS for INSPIRE View Service https://ons-inspire.esriuk.com/arcgis/rest/services/Administrative_Boundaries/Counties_and_Unitary_Authorities_December_2019_Boundaries_UK_BUC2/MapServer/exts/InspireView REST URL of ArcGIS for INSPIRE Feature Download Service https://ons-inspire.esriuk.com/arcgis/rest/services/Administrative_Boundaries/Counties_and_Unitary_Authorities_December_2019_Boundaries_UK_BUC2/MapServer/exts/InspireFeatureDownload REST URL of Feature Access Service https://ons-inspire.esriuk.com/arcgis/rest/services/Administrative_Boundaries/Counties_and_Unitary_Authorities_December_2019_Boundaries_UK_BUC2/FeatureServer
This dataset is refreshed on a weekly basis from the datasets the team works on daily.Last update date: 27 June 2025.National Highways Operational Highway Boundary (RedLine) maps out the land belonging to the highway for the whole Strategic Road Network (SRN). It comprises two layers; one being the an outline and another showing the registration status / category of land of land that makes up the boundary. Due to the process involved in creating junctions with local highway authority (LHA) roads, land in this dataset may represent LHA highway (owned by National Highways but the responsibility of the LHA to maintain). Surplus land or land held for future projects does not form part of this dataset.The highway boundary is derived from:Ordnance Survey Mastermap Topography,HM Land Registry National Polygon Service (National Highway titles only), andplots researched and digitised during the course of the RedLine Boundary Project.The boundary is split into categories describing the decisions made for particular plots of land. These categories are as follows:Auto-RedLine category is for plots created from an automated process using Ordnance Survey MasterMap Topography as a base. Land is not registered under National Highways' name. For example, but not limited to, unregistered ‘ancient’ highway vested in Highways England, or bridge carrying highways over a rail line.NH Title within RedLine category is for plots created from Land Registry Cadastral parcels whose proprietor is National Highways or a predecessor. Land in this category is within the highway boundary (audited) or meets a certain threshold by the algorithm.NH Title outside RedLine category is for plots created in the same way as above but these areas are thought to be outside the highway boundary. Where the Confidence is Low, land in this category is yet to be audited. Where the Confidence is High, land in this category has been reviewed and audited as outside our operational boundary.National Highways (Technician) Data category is for plots created by National Highways, digitised land parcels relating to highway land that is not registered, not yet registered or un-registerable.Road in Tunnel category, created using tunnel outlines from Ordnance Survey MasterMap Topography data. These represent tunnels on Highways England’s network. Land is not registered under National Highways' name, but land above the tunnel may be in National Highways’ title. Please refer to the definitive land ownership records held at HM Land Registry.The process attribute details how the decision was made for the particular plot of land. These are as follows:Automated category denotes data produced by an automated process. These areas are yet to be audited by the company.Audited category denotes data that has been audited by the company.Technician Data (Awaiting Audit) category denotes data that was created by National Highways but is yet to be audited and confirmed as final.The confidence attribute details how confident you can be in the decision. This attribute is derived from both the decisions made during the building of the underlying automated dataset as well as whether the section has been researched and/or audited by National Highways staff. These are as follows:High category denotes land that has a high probability of being within the RedLine boundary. These areas typically are audited or are features that are close to or on the highway.Moderate category denotes land that is likely to be within the highway boundary but is subject to change once the area has been audited.Low category denotes land that is less likely to be within the highway boundary. These plots typically represent Highways England registered land that the automated process has marked as outside the highway boundary.Please note that this dataset is indicative only. For queries about this dataset please contact the GIS and Research Team.
Maps showing average electricity, gas and total final energy consumption for local authorities in Great Britain:
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Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Recorded Flood Outlines is a GIS layer which shows all our records of historic flooding from rivers, the sea, groundwater and surface water. Each individual Recorded Flood Outline contains a consistent list of information about the recorded flood.
Records began in 1946 when predecessor bodies to the Environment Agency started collecting detailed information about flooding incidents, although we may hold limited details about flooding incidents prior to this date.
The absence of coverage by Recorded Flood Outlines for an area does not mean that the area has never flooded, only that we do not currently have records of flooding in this area.
It is also possible that the pattern of flooding in this area has changed and that this area would now flood or not flood under different circumstances.
The Recorded Flood Outlines take into account the presence of defences, structures, and other infrastructure where they existed at the time of flooding. It includes flood extents that may have been affected by overtopping, breaches or blockages.
Any flood extents shown do not necessarily indicate that properties were flooded internally.
A companion dataset Historic Flood Map contains a subset of these Recorded Flood Outlines which satisfy a certain criteria.
This dataset is refreshed on a weekly basis from the datasets the team works on daily.Last update date: 27 June 2025.National Highways Operational Highway Boundary (RedLine) maps out the land belonging to the highway for the whole Strategic Road Network (SRN). It comprises two layers; one being the an outline and another showing the registration status / category of land of land that makes up the boundary. Due to the process involved in creating junctions with local highway authority (LHA) roads, land in this dataset may represent LHA highway (owned by National Highways but the responsibility of the LHA to maintain). Surplus land or land held for future projects does not form part of this dataset.The highway boundary is derived from:Ordnance Survey Mastermap Topography,HM Land Registry National Polygon Service (National Highway titles only), andplots researched and digitised during the course of the RedLine Boundary Project.The boundary is split into categories describing the decisions made for particular plots of land. These categories are as follows:Auto-RedLine category is for plots created from an automated process using Ordnance Survey MasterMap Topography as a base. Land is not registered under National Highways' name. For example, but not limited to, unregistered ‘ancient’ highway vested in Highways England, or bridge carrying highways over a rail line.NH Title within RedLine category is for plots created from Land Registry Cadastral parcels whose proprietor is National Highways or a predecessor. Land in this category is within the highway boundary (audited) or meets a certain threshold by the algorithm.NH Title outside RedLine category is for plots created in the same way as above but these areas are thought to be outside the highway boundary. Where the Confidence is Low, land in this category is yet to be audited. Where the Confidence is High, land in this category has been reviewed and audited as outside our operational boundary.National Highways (Technician) Data category is for plots created by National Highways, digitised land parcels relating to highway land that is not registered, not yet registered or un-registerable.Road in Tunnel category, created using tunnel outlines from Ordnance Survey MasterMap Topography data. These represent tunnels on Highways England’s network. Land is not registered under National Highways' name, but land above the tunnel may be in National Highways’ title. Please refer to the definitive land ownership records held at HM Land Registry.The process attribute details how the decision was made for the particular plot of land. These are as follows:Automated category denotes data produced by an automated process. These areas are yet to be audited by the company.Audited category denotes data that has been audited by the company.Technician Data (Awaiting Audit) category denotes data that was created by National Highways but is yet to be audited and confirmed as final.The confidence attribute details how confident you can be in the decision. This attribute is derived from both the decisions made during the building of the underlying automated dataset as well as whether the section has been researched and/or audited by National Highways staff. These are as follows:High category denotes land that has a high probability of being within the RedLine boundary. These areas typically are audited or are features that are close to or on the highway.Moderate category denotes land that is likely to be within the highway boundary but is subject to change once the area has been audited.Low category denotes land that is less likely to be within the highway boundary. These plots typically represent Highways England registered land that the automated process has marked as outside the highway boundary.Please note that this dataset is indicative only. For queries about this dataset please contact the GIS and Research Team.
A bathymetric and topographic compilation of the South Sandwich Islands Volcanic Arc (55.1 S - 61.9 S, 24 W - 32 W) constructed in 2014, comprising multiple data sources (see lineage). The data are available as a 200m resolution GeoTIFF grid of elevation data. The bathymetric compilation was constructed in ArcGIS 10.0 using a hierarchical system of data priority, gridded using the Topogrid function and cleaned using both manual and semi-automated methods. This was then merged with terrestrial elevations constructed from cleaned raw ASTER GDEM grids supplemented by coastlines and form-lines taken from archival sketch-maps to produce a full hypsometric elevation model. The dataset was compiled as part of the Geological Long Term Mapping and Survey component of the British Antarctic Survey and forms the basis of a map within the BAS GEOMAP 2 series (see references).
National Parks are run by National Park Authorities for the purpose of conserving and enhancing the natural beauty, wildlife and cultural heritage and to provide opportunities for the understanding and enjoyment of the Park by the public. Alterations: Yorkshire Dales and Lake District National Park (Designation) boundaries modified 1st August 2016. South Downs National Park (Designation) modified on 2nd June 2010.Full metadata can be viewed on data.gov.uk.
The geology underlying Thwaites Glacier plays a critical role in mediating ice flow in this region yet is extremely poorly known. Using new compilations of airborne radar, magnetic and gravity data, supported by published geological evidence, we have interpreted the subglacial geology of the Thwaites Glacier region. Here we provide the new data compilations, results of 3D inversions and vector components defining the lithological units on our new geological sketch map.
British Antarctic Survey (BAS) National Capability contribution to the International Thwaites Glacier Collaboration (ITGC) (TJ), NERC Grant NE/S006621/1 (Geophysical Habitats of Subglacial Thwaites (Ghost)) (BK), Antarctic Science Collaboration Initiative program (Australian Government) (ST), European Space Agency (ESA) 4D Antarctica project (FF).
This is the simplified version of the outline Reservoir Flood Map Outline (Extent) as shown on the Environment Agency website. Simplified in this context refers to the fact that unlike the detailed product, individual reservoir flood map extents are not shown separately, and one merged outline shows the maximum flood extent for all reservoir flooding scenarios together.
This is a data layer showing a combined reservoir flood map for 2,092 Large Raised Reservoirs. The data shows the maximum extent of flood should reservoirs be breached, and although the location of each reservoir can be inferred they are not explicitly shown on the maps. The Reservoir Flood Map Maximum Flood Outline (Extent) in its simplified form is referred to externally as Risk of Flooding from Reservoirs – Maximum Flood Extent.
The Reservoir Flood Map Outline (Extent) shows the largest area that might be flooded if a reservoir were to fail and release the water it holds. Since this is a prediction of a credible worst case scenario, it’s unlikely that any actual flood would be this large. These data are intended for emergency planning only and are not reliable for large scale flood risk assessments.
Please note that only flood maps for large reservoirs are displayed. Flood maps are not displayed for smaller reservoirs or for reservoirs commissioned after reservoir mapping began in spring 2009.
Information Warning: The Maximum extent category is available under the standard OGL terms when supplied as a WMS. This excludes the underlying data. Attribution statement: © Environment Agency copyright and/or database right 2019. All rights reserved.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
306 Global import shipment records of Sketch Pads with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.
The Waterproofing Data project explored how to build communities’ resilience to flooding, by engaging them in the process of generating the data used to predict when floods will occur. The project team developed a functional citizen-science mobile app prototype and a model school curriculum, which has been successfully co-produced and trialled with more than 300 students from over 20 schools and civil protection agencies of five Brazilian states (Acre, Mato Grosso, Pernambuco, Santa Catarina and Sao Paulo). The app and curriculum enabled the communities involved to democratise flood data, raise awareness of flood risks, and co-design new initiatives to reduce disaster risks to communities.
The project invited participants to co-create a dataset that continuously describes the areas in which flooding impacted their territory. Through this process, the team sought to enhance knowledge about floods among those engaged with the project. This dataset showcases collaborative maps of two flood-prone neighbourhoods in Brazil. The maps were co-created and evaluated with the help of community members and school students living in underserved areas. Data was generated using the SketchMap tool https://sketch-map-tool.heigit.org. The tool supported i) printing paper maps of the neighbourhoods, ii) participants' drawings with the areas they perceived flooding risks, and iii) digitising those areas in a format suitable for cartography. The purpose of this process was to gather input from locals and identify areas that are prone to flooding in the two neighbourhoods. Labels and legends are written in Portuguese. This dataset is complementary data for our publication “Dialogic data innovations for sustainability transformations and flood resilience: The case for waterproofing data” available here https://doi.org/10.1016/j.gloenvcha.2023.102730
Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels to scientific "centres of expertise", and then flood-related alerts and interventions flow back down through local governments and into communities. Rethinking how flood-related data is produced, and how it flows, can help build sustainable, flood resilient communities.
To this end, this project develops three innovative methods around data practices, across different sites and scales: 1) we will make visible existing flows of flood-related data through tracing data; 2) generate new types of data at the local level by engaging citizens through the creation of multi-modal interfaces, which sense, collect and communicate flood data, and; 3) integrate citizen-generated data with other data using geo-computational techniques. These methodological interventions will transform how flood-related data is produced and flows, creating new governance arrangements between citizens, governments and flood experts and, ultimately, increased community resilience related to floods in vulnerable communities of Sao Paulo and Acre, Brazil.
The project will be conducted by a highly skilled international team of researchers with multiple disciplinary backgrounds from Brazil, Germany and the UK, in close partnership with researchers, stakeholders and publics of a multi-site case study on flood risk management in Brazil. Furthermore, the methods and results of this case study will be the basis for a transcultural dialogue with government organisations and local administration involved in flood risk management in Germany and the United Kingdom.
This is the simplified version of the outline Reservoir Flood Map Outline (Depth) as shown on the Environment Agency website. Simplified in this context refers to the fact that unlike the detailed product, individual reservoir flood map depths are not shown separately, and one merged outline shows the maximum flood depth for all reservoir flooding scenarios together.
This is a data layer showing a combined reservoir flood map for 2,092 Large Raised Reservoirs including attributed data. The data shows the maximum depth of flooding should reservoirs be breached, and although the location of each reservoir can be inferred they are not explicitly shown on the maps. The Reservoir Flood Map Maximum Flood Outline (Depth) in its simplified form is referred to externally as Risk of Flooding from Reservoirs – Maximum Flood Depth.
The Reservoir Flood Map Outline (Depth) shows the maximum flood depths that might be expected if a reservoir were to fail and release the water it holds. Since this is a prediction of a credible worst case scenario, it’s unlikely that any actual flood would be this deep. These data are intended for emergency planning only and are not reliable for large scale flood risk assessments.
Please note that only flood maps for large reservoirs are displayed. Flood maps are not displayed for smaller reservoirs or for reservoirs commissioned after reservoir mapping began in spring 2009.
Information Warning: Only the Maximum extent, velocity and depth categories are available under the standard OGL terms when supplied as a WMS. This excludes the underlying data. Attribution statement: © Environment Agency copyright and/or database right 2019. All rights reserved.
https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences
This is the ONS Postcode Directory (ONSPD) for the United Kingdom as at February 2023 in Comma Separated Variable (CSV) and ASCII text (TXT) formats. This file contains the multi CSVs so that postcode areas can be opened in MS Excel. To download the zip file click the Download button. The ONSPD relates both current and terminated postcodes in the United Kingdom to a range of current statutory administrative, electoral, health and other area geographies. It also links postcodes to pre-2002 health areas, 1991 Census enumeration districts for England and Wales, 2001 Census Output Areas (OA) and Super Output Areas (SOA) for England and Wales, 2001 Census OAs and SOAs for Northern Ireland and 2001 Census OAs and Data Zones (DZ) for Scotland. It now contains 2021 Census OAs and SOAs for England and Wales. It helps support the production of area based statistics from postcoded data. The ONSPD is produced by ONS Geography, who provide geographic support to the Office for National Statistics (ONS) and geographic services used by other organisations. The ONSPD is issued quarterly. (File size - 234 MB)NOTE: The 2022 ONSPDs included an incorrect update of the ITL field with two LA changes in Northamptonshire. This error has been corrected from the February 2023 ONSPD.NOTE: There was an issue with the originally published file where some change orders yet to be included in OS Boundary-LineÔ (including The Cumbria (Structural Changes) Order 2022, The North Yorkshire (Structural Changes) Order 2022 and The Somerset (Structural Changes) Order 2022) were mistakenly implemented for terminated postcodes. Version 2 corrects this, so that ward codes E05014171–E05014393 are not yet included. Please note that this product contains Royal Mail, Gridlink, LPS (Northern Ireland), Ordnance Survey and ONS Intellectual Property Rights.
The Waterproofing Data project explored how to build communities’ resilience to flooding by engaging them in generating the data used to predict when floods will occur. The project team developed a functional citizen-science mobile app prototype and a model school curriculum, which has been successfully co-produced and trialled with more than 300 students from over 20 schools and civil protection agencies of five Brazilian states (Acre, Mato Grosso, Pernambuco, Santa Catarina and Sao Paulo). The app and curriculum enabled the communities involved to democratise flood data, raise awareness of flood risks, and co-design new initiatives to reduce disaster risks to communities. The project invited participants to co-create geospatial data that describes the perceived areas in which flooding impacted their territory. Through this process, the team sought to enhance knowledge about floods among those engaged with the project.
This dataset showcases participatory maps of three flood-prone neighbourhoods in Brazil. The maps were co-created and evaluated with the help of community members and school students living in underserved areas. Data was generated using the SketchMap tool https://sketch-map-tool.heigit.org. The tool supported i) printing paper maps of the neighbourhoods, ii) participants' drawings with the areas they perceived flooding risks, and iii) digitising those areas in a format suitable for GIS and cartography. The purpose of this process was to gather input from locals and identify areas that are prone to flooding in the two neighbourhoods. The process minimised personal data collection while the final map shows aggregated data that prevent linking data with the persons who provide it.
Initial prints, participant’s notes, and some final maps have Portuguese texts.
Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels to scientific "centres of expertise", and then flood-related alerts and interventions flow back down through local governments and into communities. Rethinking how flood-related data is produced, and how it flows, can help build sustainable, flood resilient communities.
To this end, this project develops three innovative methods around data practices, across different sites and scales: 1) we will make visible existing flows of flood-related data through tracing data; 2) generate new types of data at the local level by engaging citizens through the creation of multi-modal interfaces, which sense, collect and communicate flood data, and; 3) integrate citizen-generated data with other data using geo-computational techniques. These methodological interventions will transform how flood-related data is produced and flows, creating new governance arrangements between citizens, governments and flood experts and, ultimately, increased community resilience related to floods in vulnerable communities of Sao Paulo and Acre, Brazil.
The project will be conducted by a highly skilled international team of researchers with multiple disciplinary backgrounds from Brazil, Germany and the UK, in close partnership with researchers, stakeholders and publics of a multi-site case study on flood risk management in Brazil. Furthermore, the methods and results of this case study will be the basis for a transcultural dialogue with government organisations and local administration involved in flood risk management in Germany and the United Kingdom.
Various data recorded by Historic England relating to aerial investigation and mapping projects. N.B. This is a dynamic dataset that is constantly evolving, not only with the addition of newly completed projects, but also with the reassessment of some earlier projects. See https://historicengland.org.uk/research/methods/airborne-remote-sensing/aerial-investigation/ for further details of Historic England's work with aerial sources.It's currently not possible to provide download access to the earlier hand drawn projects, which are only available as raster files, but these can be viewed via the Aerial Archaeology Mapping Explorer. We aim to create vector monument polygons for these features as the next phase of the project.More information and help with these the layers Detailed MappingThis layer shows the detailed mapping of archaeological features derived from aerial imagery; this includes photographic imagery from many decades taken specifically for archaeological purposes, as well as other photography taken for other reasons and airborne lidar. The data are symbolised initially based on their physical form i.e. cut/negative (e.g. pit, ditch etc) or built/positive (e.g. mound, bank etc) .
Field name
Field alias
Description
Mandatory Y/N
LAYER
LAYER
The layer used for mapping
Y
PROJECT
PROJECT
Project name
Y
PERIOD
PERIOD
The presumed date/period assigned to the feature (terminology from FISH thesaurus)
Y
MONUMENT_TYPE
MONUMENT_TYPE
The presumed type/function assigned to the feature (terminology from FISH thesaurus)
Y
EVIDENCE_1
EVIDENCE_1
The primary evidence for the feature e.g. cropmark, earthwork etc (terminology from FISH thesaurus)
Y
SOURCE_1
SOURCE_1
The primary source for the feature e.g. aerial photo reference, documentary source etc
Y
EVIDENCE_2
EVIDENCE_2
Where available the latest evidence for the feature e.g. cropmark, earthwork etc (terminology from FISH thesaurus) N.B. This was the latest evidence seen and does not necessarily represent the current status of the feature.
N
SOURCE_2
SOURCE_2
Where available the latest source for the feature N.B. This was the latest evidence seen and does not necessarily represent the current status of the feature.
N
HE_UID
HE_UID
Composite of Unique identifier(s) used by Historic England
Y
HER_NO
HER_NO
Composite of Unique identifier(s) used by Historic Environment Records
N
DHEUID_1
DHEUID_1
Primary Unique identifier used by Historic England
Y
DHEUID_2
DHEUID_2
Secondary Unique identifier used by Historic England. Used where a feature may relate to more than one Historic England record
N
DHEUID_3 ~ 5
DHEUID_3 ~ 5
Additional Unique identifier used by Historic England. Used where a feature may relate to more than one Historic England record
N
HE_URL1
HE_URL1
URL link to the relevant Historic England record in Heritage Gateway
Y
HE_URL2
HE_URL2
URL link to the relevant Historic England record in Heritage Gateway
N
HE_URL3 ~ 5
HE_URL3 ~ 5
URL link to the relevant Historic England record in Heritage Gateway
N
DHERNO_1
DHERNO_1
Primary unique identifier used by the relevant Historic Environment Record (HER)
Y
DHERNO_2
DHERNO_2
Secondary unique identifier used by the relevant Historic Environment Record. Used where a feature may relate to more than one HER record
N
DHERNO_3 ~ 5
DHERNO_3 ~ 5
Tertiary unique identifier used by the relevant Historic Environment Record. Used where a feature may relate to more than one HER record
N
DHERPREF_1
DHERPREF_1
Primary alternative unique identifier used by the relevant Historic Environment Record. Some HERs use the same number for both the HER No. and the reference to link to the record; others use different numbers and give them different names e.g MonUID
Y
DHERPREF_2
DHERPREF_2
Secondary alternative unique identifier used by the relevant Historic Environment Record. Some HERs use the same number for both the HER No. and the reference to link to the record; others use different numbers and give them different names e.g MonUID Used where a feature may relate to more than one HER record
N
DHERPREF_3 ~ 5
DHERPREF_3 ~ 5
Additional alternative unique identifier used by the relevant Historic Environment Record. Some HERs use the same number for both the HER No. and the reference to link to the record; others use different numbers and give them different names e.g MonUID Used where a feature may relate to more than one HER record
N
HER_LINK_1
HER_LINK_1
URL link to the relevant Historic Environment Record (HER) record in Heritage Gateway
Y
HER_LINK_2
HER_LINK_2
URL link to the relevant Historic Environment Record (HER) record in Heritage Gateway
N
HER_LINK_3 ~ 5
HER_LINK_3 ~ 5
URL link to the relevant Historic Environment Record (HER) record in Heritage Gateway
N
The data are symbolised initially based on their physical form i.e. cut/negative (e.g. pit, ditch etc) or built/positive (e.g. mound, bank etc)
Layer name
Colour (Hex)
Description
Bank #A50026 Used to outline banks, platforms, mounds and spoil heaps.
Ditch #313695 Used to outline cut features such as ditches, ponds, pits or hollow ways.
Extent of Feature
#FDAE61 (Dashes)
Used to depict the extent of large area features such as airfields, military camps, or major extraction.
Ridge and Furrow Alignment
#74ADD1
Line or arrow(s) (hand drawn not a symbol) depicting the direction of the rigs in a block of ridge and furrow.
Ridge and Furrow Area
#74ADD1 (Dots)
Used to outline a block of ridge and furrow .
Slope
#4575B4
The top of the “T” indicates the top of slope and the body indicates the length and direction of the slope. Used to depict scarps, edges of platforms and other large earthworks.
Structure
#F46D43
Used to outline structures including stone, concrete, metal and timber constructions e.g., buildings, Nissen huts, tents, radio masts, camouflaged airfields, wrecks, fish traps, etc.
You can find instructions on how to create a QGIS style file (.qml) to recreate our mapping symbology in QGIS via our Open Data Downloads page under Aerial Investigation Mapping data.Monument ExtentsThis layer shows the general extent of the monuments, created from multiple sources, primarily aerial imagery, but referring to other sources such as earthwork surveys, documentary evidence and any information available from the relevant Historic Environment Record etc. This differs from the 'Detailed Mapping' layer, which shows the individual features as they appear on the ground.
Field name
Field alias
Description
Mandatory Y/N
LAYER
LAYER
The layer used for mapping
Y
HE_UID
HE_UID
Composite of Unique identifier(s) used by Historic England
Y
HER_NO
HER_NO
Composite of Unique identifier(s) used by Historic Environement Records
N
HE_UID1
HE_UID1
Primary Unique identifier used by Historic England
Y
HE_UID2
HE_UID2
Secondary Unique identifier used by Historic England. Used where a feature may relate to more than one Historic England record
N
HE_UID3 ~ 5
HE-UID3 ~ 5
Additional Unique identifier used by Historic England. Used where a feature may relate to more than one Historic England record
N
HE_URL1
HE_URL1
URL link to the relevant Historic England record in Heritage Gateway
Y
HE_URL2
HE_URL2
URL link to the relevant Historic England record in Heritage Gateway
N
HE_URL3 ~ 5
HE_URL3 ~ 5
URL link to the relevant Historic England record in Heritage Gateway
N
HERNO_1
HERNO_1
Primary unique identifier used by the relevant Historic Environment Record (HER)
Y
HERNO_2
HERNO_2
Secondary unique identifier used by the relevant Historic Environment Record. Used where a feature may relate to more than one HER record
N
HERNO_3 ~ 25
HERNO_3 ~ 25
Tertiary unique identifier used by the relevant Historic Environment Record. Used where a feature may relate to more than one HER record
N
HERPREF_1
HERPREF_1
Primary alternative unique identifier used by the relevant Historic Environment Record. Some HERs use the same number for both the HER No. and the reference to link to the record; others use different numbers and give them different names e.g MonUID
Y
HERPREF_2
HERPREF_2
Secondary alternative unique identifier used by the relevant Historic Environment Record. Some HERs use the same number for both the HER No. and the reference to link to the record; others use different numbers and give them different names e.g MonUID Used where a feature may relate to more than one HER record
N
HERPREF_3 ~ 25
HERPREF_3 ~ 25
Additional alternative unique identifier used by the relevant Historic Environment Record. Some HERs use the same number for both the HER No. and the reference to link to the record; others use different numbers and give them different names e.g MonUID Used where a feature may relate to more than one HER record
N
HER_LINK_1
HER_LINK_1
URL link to the relevant Historic Environment Record (HER) record in Heritage Gateway
Y
HER_LINK_2
HER_LINK_2
URL link to the relevant Historic Environment Record (HER) record in Heritage Gateway
N
HER_LINK_3 ~ 25
HER_LINK_3 ~ 25
URL link to the relevant Historic Environment Record (HER) record in Heritage Gateway
N
PROJECT
project
Project name
Y
Project AreaThis layer shows the extent of the
https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences
A PDF map that shows the counties and unitary authorities in the United Kingdom as at 1 April 2023. (File Size - 583 KB)