As of the July 2021 basemap update, the raster basemaps (OS Open Carto, Background, Greyscale and Greyscale Labels) have now entered Mature Support. These four services will no longer be updated but will remain available to use for the foreseeable future. We encourage users to switch to the new GB Vector Basemaps. Read more in our blog.The OS Open 'Carto' base map is designed to be used as background mapping providing a seamless map view from small to large scales with a consistent cartographic representation. The sources of data are Ordnance Survey Vector Map District data for small and mid-scales and Open Map Local for larger scales. The currency of the data is; Vector Map District - 05/2021Open Map Local - 04/2021The coverage of the map service is GB. The map projection is British National Grid. The service is appropriate for viewing down to a scale of approximately 1:2,500. Updated: 17/07/2021

As of the July 2021 basemap update, the raster basemaps (OS Open Carto, Background, Greyscale and Greyscale Labels) have now entered Mature Support. These four services will no longer be updated but will remain available to use for the foreseeable future. We encourage users to switch to the new GB Vector Basemaps. Read more in our blog.The OS Open Greyscale map service is designed to be used as background mapping providing a seamless map view from small to large scales with a consistent cartographic representation.The sources of data are Ordnance Survey Vector Map District and Open Map Local. The currency of the data is; Vector Map District - 05/2021Open Map Local - 04/2021 The coverage of the map service is GB. The map projection is British National Grid. The service is appropriate for viewing down to a scale of approximately 1:5,000. Updated: 17/07/2021

OS Open Raster stack of GB for use as base mapping from national scale through to street level data.The currency of the data is: GB Overview Maps - 12/2014 MiniScale - 01/2024 OS 250K Raster - 06/2024Vector Map District Raster - 05/2024Open Map Local Raster - 10/2024The coverage of the map service is GB. The map projection is British National Grid. The service is appropriate for viewing down to a scale of approximately 1:2,500. Updated: 29/10/2024

This dataset links together all NEXTMap products by OS Grid tile - e.g. the sn60 directory brings together links various products from the OS Grid covering the Bristol Channel. These data products are on various resolutions and include the following products:

Difference model (dsm - dtm) Data Digital Surface Model (DSM) Data Digital Terrain 10m resolution (DTM10) Model Data Digital Terrain 50m resolution (DTM10) Model Data Digital Terrain (DTM) Model Data
Enhanced Digital Terrain (DTME) Model Data Orthorectified Radar Image (ORI)

The LIDAR DTM (Digital Terrain Model) Time Stamped Tiles product is an archive of raster elevation data produced by the Environment Agency. Site specific LIDAR surveys have been carried out across England since 1998, with certain areas, such as the coastal zone, being surveyed multiple times. Data is available at varying resolutions of 25cm, 50cm, 1m and 2m, depending on project requirements.

The DTM (Digital Terrain Model) is produced from the last return LIDAR signal. We remove surface objects from the Digital Surface Model (DSM), using bespoke algorithms and manual editing of the data, to produce a terrain model of just the surface.

Available to download as GeoTiff rasters in 5km zipfiles, data is presented in metres, referenced to Ordnance Survey Newlyn and data aligned to the OS Grid. All LIDAR data has a vertical accuracy of +/-15cm RMSE. The transformation used on the data is specific to the time period of survey.

Please refer to the metadata index catalogue which show, for any location, what time stamped data is available, the specific dates of survey, resolution of product and what transformation and geoidal model used.

Map, visualise, and truly understand your data at street level. The most detailed street-level open data vector mapping product available, OS Open Map – Local is a great backdrop over which to display and analyse your data. Quickly identify hotspots in data like crime location or property prices. The muted colours of this detailed backdrop map let your information really stand out. Get greater insights into land use for local planning. OS OpenMap - Local doesn't just pinpoint schools, hospital and other major facilities, it maps the grounds they occupy. Includes a raster image option, carefully styled in the light of customer feedback. This is easy to load in a GIS and lets you start analysing quicker. Easily get national coverage of Britain at 1:10:000 scale. Download the vector and raster versions of this data as single zip files. if you only need a smaller area, we’ll still offer the single-tile option.

This tile layer contains the GB Base OS Outdoor style which is based on the style provided by the Ordnance Survey. The labels are in local language providing Welsh, Scottish Gaelic and local English names where they are available. The web map version of this dataset can be seen here.The cartography is similar to the that provided by the Ordnance Survey in their stylesheets on Github for the OS Zoomstack data. The GB Os Outdoors tile layer was updated simply by changing the "text-field" value for a few layers in the map from '_name' to '_name_local'. This service contains data supplied by the Ordnance Survey in their Zoomstack product (data last updated December 2024)The map projection is British National Grid.Customise this MapBecause this is a vector tile layer, you can customise the map to change its content and symbology. You are able to turn on and off layers and change their symbols. You can open this style in the vector tile style editor, make your changes and save a copy of your modified style to use yourself.Please send any feedback to VectorTiles@esriuk.com

A spatial tiling index designed for storage of file-based image and other raster (i.e., LiDAR elevation, landcover) data sets. An irregular grid of overlapping polygons, each enclosing its respective Public Land Survey System (PLSS) township in an orthogonal polygon minimally encompassing all portions of that township, i.e., minimum bounding rectangle. The amount of overlap between adjacent tiles varies depending on the geometry of the underlying township. Currently extended to include all townships within or partially within King County as well as those townships in the southwestern portion of Snohomish County included within King County's ESA/SAO project area. The name of the spatial index is derived from the acronym (I)n(D)e(X) (P)olygons for (T)ownship-(R)ange, (M)inimum (B)ounding (R)ectangle, or idxptrmbr. Tile label is the t(township number)r(range number)as in t24r02. The meridian zone identifiers, N for townships and E for range is inferred as this index is intended as a local index for ease of use by the majority of users of GIS data. Lowercase identifiers are used for consistency between Unix and Windows OS storage. This index or tile level is the primary user-access level for most LiDAR elevation, orthoimagery and high-resolution raster landcover data. However, not all image and raster data is stored at the tiling level if a given data's resolution does not justify storing the data as multiple tiles.

This style provides a detailed vector basemap for Great Britain using Open Data and is based on the style provided by the Ordnance Survey in their Outdoors StyleThe cartography is similar to the that provided by the Ordnance Survey in their stylesheets on Github for the OS Zoomstack data.This service contains data supplied by the Ordnance Survey in their Zoomstack product (data last updated December 2024)The map projection is British National Grid.Customise this MapBecause this is a vector tile layer, you can customise the map to change its content and symbology. You are able to turn on and off layers and change their symbols. You can open this style in the vector tile style editor, make your changes and save a copy of your modified style to use yourself.Please send any feedback to VectorTiles@esriuk.com

This dataset consists of the Digital Terrain Model data (DTM) from the NEXTMap British Digital Terrain Model project produced by Intermap. These data have a spatial resolution of 5m and cover the British Isles.

This dataset consists of the Digital Terrain Model 50m resolution data (DTM10) from the NEXTMap British Digital Terrain Model project produced by Intermap. These data have a spatial resolution of 50m and cover the British Isles.

Runoff Attenuation Features Potential is our best estimate of locations of high flow accumulation across the land surface or in smaller channels, where it may be possible to temporarily store water and attenuate flooding during high flows. The dataset is designed to support signposting of areas where to target enhanced storage. It is based upon the Risk of Flooding from Surface Water datasets and identifies areas of high flow accumulations for the 3.3% Annual Exceedance Probability surface water maps. The areas of ponding or accumulation are between 100 and 5000 metres squared, and have been tagged where they fall on an area of slope steeper than 6% as gully blocking opportunities. All the potential areas have been constrained so that they are not in urban areas or on roads, rails or canals.The data does not does not provide information on design, which may need to consider issues such as drain-down between flood events. It is important to note that land ownership and change to flood risk have not been considered. Locations identified may have more recent building or land use than available.A GIS tool developed by JBA, called JRAFF (JBA Runoff Attenuation Feature Finder) was used to analyse potential for Runoff Attenuation Features. This identifies areas of high flow accumulation from the Risk of Flooding from Surface Water Depth 3.3 percent annual chance map that could be targeted as opportunities for enhanced temporary storage. OS Terrain 50 (2016) was used to determine gully blocking potential, based on a threshold of > 6 degrees (10%). A constraint layer was applied based on CORINE Land Cover Urban layer (2012), OS Open Map Local – Roads, Rail and Building layers (2016) and OS Open Rivers – Canal layer (2016).

WWNP Combined Woodland Planting Potential is our best estimate of locations where tree planting may be possible on the floodplain, close to flow pathways and across the wider catchment. It is made up of three layers:WWNP Floodplain Woodland Planting Potential is our best estimate of locations where tree planting on the floodplain may be possible, and effective to attenuate flooding. The dataset is designed to support signposting of areas of floodplain not already wooded. The dataset is based upon fluvial Flood Zone 2 of the Flood Map for Planning. A set of open access constraints data was used to erase areas which contained existing woodland, watercourses, peat, roads, rail and urban locations.The information provided is largely based on modelled data and open constraints data, and is therefore indicative rather than specific. Locations identified may have more recent building or land use than available data indicates. It is important to note that land ownership and change to flood risk have not been considered, and it may be necessary to model the impacts of significant planting.The Environment Agency’s Flood Map for Planning (2016) - Flood Zone 2 (0.1% AEP) was used to delineate areas close to the watercourse in the floodplain which may be suitable for tree planting. The ‘Woodland Constraints’ data was then applied, masking existing woodland, watercourses, peat, roads, rail and urban areas.WWNP Riparian Woodland Potential is our best estimate of locations where tree planting may be possible on smaller floodplains close to flow pathways, and effective to attenuate flooding. The dataset is designed to support signposting of riparian areas not already wooded. The dataset is based upon a 50m buffer of available OS Open Data river networks. A set of open access constraints data was used to erase areas which contained existing woodland, watercourses, peat, roads, rail and urban locations.The information provided is largely based on open data, and is indicative rather than specific. Locations identified may have more recent building or land use than available data indicates. It is important to note that land ownership and change to flood risk have not been considered, and it may be necessary to model the impacts of significant planting.A 50m buffer was created around OS river network datasets to identify potential locations for riparian tree planting. This data used included: OS OpenMap - Surface Water Line, OS OpenMap - Surface Water Area and OS Open Rivers (2016). The ‘Woodland Constraints’ data was then applied, masking existing woodland, watercourses, peat, roads, rail and urban areas.WWNP Wider Catchment Woodland Potential is our best estimate of locations where there are slowly permeable soils, where scrub and tree planting may be most effective to increase infiltration and hydrological losses. The dataset is designed to support signposting of areas not already wooded. The dataset is based upon the 1:50k BGS geology survey, and relies upon identifying drift and bedrock geologies that are characteristic of slowly permeable soils. A set of open access constraints data was used to erase areas which contained existing woodland, watercourses, peat, roads, rail and urban locations.The information provided is largely based on a 100m gridded version of the BGS 1:50k superficial and bedrock data, along with open constraints data, and is indicative rather than specific. Locations identified may have more recent building or land use than available data indicates. It is important to note that land ownership and change to flood risk have not been considered, and it may be necessary to model the impacts of significant planting.The ‘Superficial Deposits’ and ‘Bedrock Geology’ themes from the BGS Geology 50k map data were used to identify areas of slowly permeable soils where tree planting may increase infiltration and hydrological losses. The ‘Woodland Constraints’ data was then applied, masking existing woodland, watercourses, peat, roads, rail and urban areas.

This dataset comprises a range of land cover types where the woodland potential layers have been masked, owing to existing woodland, watercourses, peat, roads, rail and urban areas. Other constraints data, such as protected habitats and high grade agricultural land, should also be considered. Locations identified may have more recent land use change than available at the time of publication.The Woodland Constraints data is based on an amalgamation of the following datasets: OS Open Map Local – Roads, Rail and Woodland layers (2016); Forestry Commission Woodland Inventory (2015); OS Open Water – Lines, Areas and Rivers (2016); CORINE Land Cover Urban and Peat layers (2012).

This dataset consists of the Difference Model (dsm - dtm) - known as diff in the archive - from the NEXMap British Digital Terrain Model project produced by Intermap.

A spatial tiling index designed for storage of file-based image and other raster (i.e., LiDAR elevation, landcover) data sets. An irregular grid of overlapping polygons, each enclosing its respective Public Land Survey System (PLSS) township in an orthogonal polygon minimally encompassing all portions of that township, i.e., minimum bounding rectangle. The amount of overlap between adjacent tiles varies depending on the geometry of the underlying township. Currently extended to include all townships within or partially within King County as well as those townships in the southwestern portion of Snohomish County included within King County's ESA/SAO project area. The name of the spatial index is derived from the acronym (I)n(D)e(X) (P)olygons for (T)ownship-(R)ange, (M)inimum (B)ounding (R)ectangle, or idxptrmbr. Tile label is the t(township number)r(range number)as in t24r02. The meridian zone identifiers, N for townships and E for range is inferred as this index is intended as a local index for ease of use by the majority of users of GIS data. Lowercase identifiers are used for consistency between Unix and Windows OS storage. This index or tile level is the primary user-access level for most LiDAR elevation, orthoimagery and high-resolution raster landcover data. However, not all image and raster data is stored at the tiling level if a given data's resolution does not justify storing the data as multiple tiles.

The Environment Agency National LIDAR Programme provides accurate elevation data at 1m spatial resolution for all of England.

In 2017 we divided the country into 302 survey blocks covering all of England which were subsequently captured during the winter months (approximately November to April each year) between January 2017 and February 2023. These are known as our 'Phase 1' national lidar programme surveys.

Subsequently we have undertaken repeat surveys of specific blocks based on the on-going requirements for upto date elevation data. Each repeat survey block is given a new incrementing phase number, for example the second time we capture a block this is that blocks 'phase 2' whilst the 3rd time will be 'phase 3'. There is not curretly a plan to capture all the origianl phase 1 survey blocks over a rolling programme with repeat surveys be based on the requirements for upto date elevation data for an area.

All data is published through the DEFRA Data Services survey portal on a quartely on-going bases and a number of different products area available for each survey block. All products are available in 5km tiles aligned to the ordnance survey grid. The tiles are named by the unique survey id, OS grid reference and the first and last survey date of the survey id (P_XXXXX_OSOSOS_SDFLOWN_EDFLOWN.*). The surface models are available in GeoTiff raster format whilst the point cloud is available in *.laz. An index catalogue is also available with provides survey specific information about each tile.

Outlined below is a description of each product that is available for each survey block:

LIDAR Point Cloud: is the discrete LIDAR returns that are used in the creation of the surface models. Supplied in *.laz format they the discrete LIDAR returns have been classified into ground, low, medium and high vegetation classes using an automated classification process.

Digital Surface Model(s) (DSM) are created from the last or only LIDAR pulse returned to the sensor and contains all ground and surface objects.

Digital Terrain Model(s) (DTM) is created from the last return LIDAR pulse classified as ground, filtering out surface objects. Manual filtering is undertaken on the DTM to improve the automated classification routines to produce a most likely ground surface model. Areas of no data, such as water bodies, are also filled to ensure there are no gaps in the model.

First Return Digital Surface Model(s) (FZ DSM) is created from the either the first or only LIDAR pulse returned to the sensor and contains all ground and surface objects. It is more likely to return elevations from the top or near top of trees and the edges of buildings. It can often be used in canopy height modelling and production of building outlines.

Intensity Surface Model(s) (Int DSM) is a measure of the amount of laser light from each laser pulse reflecting from an object. This reflectivity is a function of the near infrared wavelength used and varies with the composition of the surface object reflecting the return and angle of incidence.The intensity surface model produces a grayscale image where darker surfaces such as roads reflect less light than other surfaces such as vegetation.

A National Nature Reserve (NNR) is the land declared under the National Parks and Access to the Countryside Act 1949 or Wildlife and Countryside Act (1981) as amended. The data does not include "proposed" sites. Supplied in England-wide and 100 x 100km tiles. Boundaries are mapped against Ordnance Survey MasterMap. Attribution statement: © Natural England copyright. Contains Ordnance Survey data © Crown copyright and database right [year].

This webmap contains the GB Base OS Outdoor style which is based on the style provided by the Ordnance SurveyThe cartography is similar to the that provided by the Ordnance Survey in their stylesheets on Github for the OS Zoomstack data. This service contains data supplied by the Ordnance Survey in their Zoomstack product (data last updated December 2024)The map projection is British National Grid.Customise this MapBecause this is a vector tile layer, you can customise the map to change its content and symbology. You are able to turn on and off layers and change their symbols. You can open this style in the vector tile style editor, make your changes and save a copy of your modified style to use yourself.Please send any feedback to VectorTiles@esriuk.com

Survey name: Charing, Tile Lodge Farm (Kent Minerals LP ) Post 1988 Agricultural Land Classification (ALC) site survey data – scanned original paper maps and survey reports for individual sites surveyed in detail between 1989 and 1999 by the Ministry of Agriculture Fisheries and Food. Where Grade 3 is mapped this includes the subdivision of Grade 3 into subgrades 3a and 3b. Surveys use the current grading methodology as described in "Agricultural Land Classification of England and Wales," a link for which is provided with the data. Individual sites have been mapped at varying scales and level of detail from 1:5,000 to 1:50,000 (typically 1:10,000). Unedited sample point soils data and soil pit descriptions are also available for some surveys. Attribution statement: © Natural England copyright. Contains Ordnance Survey data © Crown copyright and database right [year]. Attribution statement: © Natural England copyright. Contains Ordnance Survey data © Crown copyright and database right [year].