The Department for Business, Energy and Industrial Strategy have published a series of interactive maps. The maps bring together BEIS's Local Authority datasets into one place allowing users to view trends in fuel poverty, energy use and energy efficiency measures. The themes of the map are: * Cavity wall and loft insulation * Fuel poverty * Domestic solar photovoltaic installations * Gas and electricity consumption

Interactive map of Essex showing land owned by local authorities and central government.

A complete list of live websites using the Interactive Uk Regional Map technology, compiled through global website indexing conducted by WebTechSurvey.

The current counties of England are defined by the ceremonial counties, a collective name for the county areas to which are appointed a Lord Lieutenant. The office of Lord Lieutenant was created in the reign of Henry VIII. The Lord Lieutenant is the chief officer of the county and representative of the Crown. Whenever the Queen visits an area she will be accompanied by the Lord Lieutenant of that area. Legally the ceremonial counties are defined by the Lieutenancies Act 1997 as ‘Counties and areas for the purposes of the lieutenancies in Great Britain’ with reference to the areas used for local government.

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https://www.ordnancesurvey.co.uk/products/boundary-line#technical

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Source:

https://osdatahub.os.uk/downloads/open/BoundaryLine

Licence:

Contains public sector information licensed under the Open Government Licence v3.0.

https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/

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

[From The Landmap Project: Introduction, "http://www.landmap.ac.uk/background/intro.html"]

 A joint project to provide orthorectified satellite image mosaics of Landsat,
 SPOT and ERS radar data and a high resolution Digital Elevation Model for the
 whole of the UK. These data will be in a form which can easily be merged with
 other data, such as road networks, so that any user can quickly produce a
 precise map of their area of interest.

 Predominately aimed at the UK academic and educational sectors these data and
 software are held online at the Manchester University super computer facility
 where users can either process the data remotely or download it to their local
 network.

 Please follow the links to the left for more information about the project or
 how to obtain data or access to the radar processing system at MIMAS. Please
 also refer to the MIMAS spatial-side website,
 "http://www.mimas.ac.uk/spatial/", for related remote sensing materials.

This dataset is primarily intended to be used for informing development decisions. This dataset is incomplete, and contains some authoritative data provided by local authorities, as well as conservation area boundaries from Historic England, and other secondary sources found on data.gov.uk. The data currently contains a number of duplicate areas we are working to remove.

Levels of Noise Pollution in Hampshire and the Isle of Wight Integrated Care System (ICS) during Nighttime and 24-Hour Periods Based on Data from Strategic Noise Mapping. An Interactive Map Application Recommended Citation: Tsimpida, D., & Tsakiridi, A. (2025). Levels of noise pollution in Hampshire and the Isle of Wight Integrated Care System (ICS) during nighttime and 24-hour periods based on data from strategic noise mapping: An interactive map application. License: CC BY – This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. Information about Geographic Location of Data Collection: England Related Projects: Tsimpida, D., Environmental Health and Wellbeing Dynamics: Mapping High-Exposure Neighbourhoods and Assessing Transportation Noise Pollution's Impact on Population Health. This project is funded by the Sustainability & Resilience Institute (SRI), University of Southampton. The views expressed are those of the author(s) and not necessarily those of SRI or the University of Southampton. Methodological Information: To quantify noise pollution, we used the new Noise Mapping Geographic Information Systems (GIS) datasets developed by Defra that calculate noise exposure levels and are openly available: Department for Environment, Food & Rural Affairs. Strategic noise mapping (2022) [Internet]. 2024. Available from: https://www.gov.uk/government/publications/strategic-noise-mapping-2022 For our analyses, we used both the day-evening-night level (Lden) and the night level (Lnight). The Lden level is a noise metric used to assess overall annoyance, calculated as the annual average A-weighted sound level over a 24-hour period. This measure includes a 5-decibel (dB(A)) penalty for evening noise (7 pm to 11 pm) and a 10 dB(A) penalty for nighttime noise (11 pm to 7 am). The Lnight is a nighttime noise indicator that reflects the annual average A-weighted sound level during the night period (11 pm to 7 am), representing the total sound energy equivalent to the fluctuating noise levels experienced throughout that period. _ Geospatial Analysis Information: All geospatial models in this study used Lower Super Output Areas (LSOAs) as the unit of analysis. In all analyses, we used the LSOA boundaries published by the Office for National Statistics as of March 21, 2021: Office for National Statistics. Census 2021 geographies [Internet]. 2021. Available from: https://www.ons.gov.uk/methodology/geography/ukgeographies/censusgeographies/census2021geographies _ Integrated Care Board Boundaries: Digital vector boundaries for Integrated Care Boards in England were those published by the Office for National Statistics: Integrated Care Boards (April 2023) EN BGC [Internet]. 2023. Available from: https://www.data.gov.uk/dataset/d6bcd7d1-0143-4366-9622-62a99b362a5c/integrated-care-boards-april-2023-en-bgc This version of the dataset, https://doi.org/10.5258/soton/d3377v2, was updated on 2015/02/17. The previous version is available at https://doi.org/10.5258/soton/d3377v1

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 15 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 October 2021 – September 2022. 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.

This web map used within the National Storm Overflow Hub application, brings together spill data for all the storm overflows in England in one interactive map. Storm overflow data providers within the web map include:Anglian WaterNorthumbrian WaterSevern Trent WaterSouthern WaterSouth West WaterThames WaterUnited UtilitiesWessex WaterYorkshire WaterOther data found in the web map includes:Water Company Boundaries Sewerage Services AreasSensitive Areas Bathing WatersBathing Water Monitoring LocationsWater UK National Storm Overflow Plan for England

Living England is a multi-year project which delivers a broad habitat map for the whole of England, created using satellite imagery, field data records and other geospatial data in a machine learning framework. The Living England habitat map shows the extent and distribution of broad habitats across England aligned to the UKBAP classification, providing a valuable insight into our natural capital assets and helping to inform land management decisions. Living England is a project within Natural England, funded by and supports the Defra Natural Capital and Ecosystem Assessment (NCEA) Programme and Environmental Land Management (ELM) Schemes to provide an openly available national map of broad habitats across England.This dataset includes very complex geometry with a large number of features so it has a default viewing distance set to 1:80,000 (City in the map viewer).Process Description:A number of data layers are used to develop a ground dataset of habitat reference data, which are then used to inform a machine-learning model and spatial analyses to generate a map of the likely locations and distributions of habitats across England. The main source data layers underpinning the spatial framework and models are Sentinel-2 and Sentinel-1 satellite data from the ESA Copernicus programme, Lidar from the EA's national Lidar Programme and collected data through the project's national survey programme. Additional datasets informing the approach as detailed below and outlined in the accompanying technical user guide.Datasets used:OS MasterMap® Topography Layer; Geology aka BGS Bedrock Mapping 1:50k; Long Term Monitoring Network; Uplands Inventory; Coastal Dune Geomatics Mapping Ground Truthing; Crop Map of England (RPA) CROME; Lowland Heathland Survey; National Grassland Survey; National Plant Monitoring Scheme; NE field Unit Surveys; Northumberland Border Mires Survey; Sentinel-2 multispectral imagery; Sentinel-1 backscatter imagery; Sentinel-1 single look complex (SLC) imagery; National forest inventory (NFI); Cranfield NATMAP; Agri-Environment HLS Monitoring; Living England desktop validation; Priority Habitat Inventory; Space2 Eye Lens: Ainsdale NNR, State of the Bog Bowland Survey, State of the Bog Dark Peak Condition Survey, State of the Bog Manchester Metropolitan University (MMU) Mountain Hare Habitat Survey Dark Peak, State of the Bog; Moors for the Future Dark Peak Survey; West Pennines Designation NVC Survey; Wetland Annex 1 inventory; Soils-BGS Soil Parent Material; Met Office HadUK gridded climate product; Saltmarsh Extent and Zonation; EA LiDAR DSM & DTM; New Forest Mires Wetland Survey; New Forest Mires Wetland Survey; West Cumbria Mires Survey; England Peat Map Vegetation Surveys; NE protected sites monitoring; ERA5; OS Open Built-up Areas; OS Boundaries dataset; EA IHM (Integrated height model) DTM; OS VectorMap District; EA Coastal Flood Boundary: Extreme Sea Levels; AIMS Spatial Sea Defences; LIDAR Sand Dunes 2022; EA Coastal saltmarsh species surveys; Aerial Photography GB (APGB); NASA SRT (Shuttle Radar Topography Mission) M30; Provisional Agricultural Land Classification; Renewable Energy Planning Database (REPD); Open Street Map 2024.Attribute descriptions: Column Heading Full Name Format Description

SegID SegID Character (100) Unique Living England segment identifier. Format is LEZZZZ_BGZXX_YYYYYYY where Z = release year (2223 for this version), X = BGZ and Y = Unique 7-digit number

Prmry_H Primary_Habitat Date Primary Living England Habitat

Relblty Reliability
Character (12) Reliability Metric Score

Mdl_Hbs Model_Habs Interger List of likely habitats output by the Random Forest model.

Mdl_Prb Model_Probs Double (6,2) List of probabilities for habitats listed in ‘Model_Habs’, calculated by the Random Forest model.

Mixd_Sg Mixed_Segment Character (50) Indication of the likelihood a segment contains a mixture of dominant habitats. Either Unlikely or Probable.

Source Source

Description of how the habitat classification was derived. Options are: Random Forest; Vector OSMM Urban; Vector Classified OS Water; Vector EA saltmarsh; LE saltmarsh & QA; Vector RPA Crome, ALC grades 1-4; Vector LE Bare Ground Analysis; LE QA Adjusted

SorcRsn Source_Reason

Reasoning for habitat class adjustment if ‘Source’ equals ‘LE QA Adjusted’

Shap_Ar Shape_Area

Segment area (m2) Full metadata can be viewed on data.gov.uk.

Interactive map service (http://ims.sea.gov.ua:8081/website/Atlas_forAll_en/viewer.htm), based on GIS database ATLAS has been created by UkrSCES to provide an integrated picture of the modern state of the Black Sea coastal zone. It provides information on the geography of NWBS coastal zone and coastal water areas, as well as data on demography, natural resources, economy and pollution. The work is financed under the auspices of the Ministry for Environmental Protection of Ukraine. ATLAS is organised around several themes and elements, comprising interactive maps, statistical data, and descriptions. The cartography is based on the digital topographic chart of Ukraine (scale 1:500,000) and includes the following thematic layers: * Natural resources, * Protected territories, * Pollution resources, * Recreational potential, * Coastal zone. The main part of the descriptive text of ATLAS is drawn from the results of various studies that were undertaken by UkrSCES from 1993 to 2006. ATLAS allows users to select and display information on the resources, state and condition оf the NWBS coastal zone. This interactive service can be employed not only by experts and those responsible for decision-making, but also by the general public. It represents a major contribution to Ukraine's responsibilities under the Aarhus Convention for access to environmental information.

PLEASE NOTE: This data product is not available in Shapefile format or KML at https://naturalengland-defra.opendata.arcgis.com/datasets/Defra::living-england-habitat-map-phase-4/about, as the data exceeds the limits of these formats. Please select an alternative download format.This data product is also available for download in multiple formats via the Defra Data Services Platform at https://environment.data.gov.uk/explore/4aa716ce-f6af-454c-8ba2-833ebc1bde96?download=true.The Living England project, led by Natural England, is a multi-year programme delivering a satellite-derived national habitat layer in support of the Environmental Land Management (ELM) System and the Natural Capital and Ecosystem Assessment (NCEA) Pilot. The project uses a machine learning approach to image classification, developed under the Defra Living Maps project (SD1705 – Kilcoyne et al., 2017). The method first clusters homogeneous areas of habitat into segments, then assigns each segment to a defined list of habitat classes using Random Forest (a machine learning algorithm). The habitat probability map displays modelled likely broad habitat classifications, trained on field surveys and earth observation data from 2021 as well as historic data layers. This map is an output from Phase IV of the Living England project, with future work in Phase V (2022-23) intending to standardise the methodology and Phase VI (2023-24) to implement the agreed standardised methods.The Living England habitat probability map will provide high-accuracy, spatially consistent data for a range of Defra policy delivery needs (e.g. 25YEP indicators and Environment Bill target reporting Natural capital accounting, Nature Strategy, ELM) as well as external users. As a probability map, it allows the extrapolation of data to areas that we do not have data. These data will also support better local and national decision making, policy development and evaluation, especially in areas where other forms of evidence are unavailable. Process Description: A number of data layers are used to inform the model to provide a habitat probability map of England. The main sources layers are Sentinel-2 and Sentinel-1 satellite data from the ESA Copericus programme. Additional datasets were incorporated into the model (as detailed below) to aid the segmentation and classification of specific habitat classes. Datasets used:Agri-Environment Higher Level Stewardship (HLS) Monitoring, British Geological Survey Bedrock Mapping 1:50k, Coastal Dune Geomatics Mapping Ground Truthing, Crop Map of England (RPA), Dark Peak Bog State Survey, Desktop Validation and Manual Points, EA Integrated Height Model 10m, EA Saltmarsh Zonation and Extent, Field Unit NEFU, Living England Collector App NEFU/EES, Long Term Monitoring Network (LTMN), Lowland Heathland Survey, National Forest Inventory (NFI), National Grassland Survey, National Plant Monitoring Scheme, NEFU Surveys, Northumberland Border Mires, OS Vector Map District , Priority Habitats Inventory (PHI) B Button, European Space Agency (ESA) Sentinel-1 and Sentinel-2 , Space2 Eye Lens: Ainsdale NNR, Space2 Eye Lens: State of the Bog Bowland Survey, Space2 Eye Lens: State of the Bog Dark Peak Condition Survey, Space2 Eye Lens: State of the Bog (MMU) Mountain Hare Habitat Survey Dark Peak, Uplands Inventory, West Pennines Designation NVC Survey, Wetland Inventories, WorldClim - Global Climate DataFull metadata can be viewed on data.gov.uk.

HPHT fields in the North Sea account for a significant portion of UK total production. Expediting the successful exploitation of new HPHT structures in the UKCS can play a major role in maximising economic recovery and extending the asset life of existing infrastructure. While HPHT conditions are recorded in a number of UKCS basins, by far the largest resource attributable to HPHT producing fields, discoveries, and mature prospects lies within the Central Graben. The shapefiles in this dataset represent a pressure cell summary for Jurassic and Triassic in the Central North Sea, generated by the NSTA and based on a pressure dataset incorporating 194 wells. The pressure dataset was generated from released well data in the NDR by Ikon Science and is published separately on the Open Data Site. The pressure data includes formation pressure and overpressure and is categorised by fluid type, test type/quality, and stratigraphy. Aquifer overpressure is derived for many wells, with an uncertainty range applied where hydrocarbon water contact or structural spill is uncertain. Pressure cells are interpreted by the NSTA on the basis of the aquifer overpressures and most likely pressure cell boundaries derived from literature and industry reports. This study combines well pressure data with historic and published structural interpretations to generate a pressure cell map for the pre-Cretaceous strata of the UK Central North Sea.

This dataset consists of an interactive map (and supporting guidance) containing background information that informs how we understand flood risk across the Humber 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 dataset consists of the 25m raster version of the Land Cover Map 1990 (LCM1990) for Northern Ireland. The 25m raster product consists of three bands: Band 1 - raster representation of the majority (dominant) class per polygon for 21 target classes; Band 2 - mean per polygon probability as reported by the Random Forest classifier (see supporting information); Band 3 - purity - percentage of the polygon covered by the majority class. The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. This dataset is derived from the vector version of the Land Cover Map, which contains individual parcels of land cover and is the highest available spatial resolution. The 25m raster is the most detailed of the LCM1990 raster products both thematically and spatially, and it is used to derive the 1km products. LCM1990 is a land cover map of the UK which was produced at the Centre for Ecology & Hydrology by classifying satellite images (mainly from 1989 and 1990) into 21 Broad Habitat-based classes. It is the first in a series of land cover maps for the UK, which also includes maps for 2000, 2007, 2015, 2017, 2018 and 2019. LCM1990 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the UKCEH web site and the LCM1990 Dataset documentation) to select the product most suited to their needs. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/d446589e-478f-4206-80ed-38a5ff4a7dc0

To Digitise in ArcGIS Online you will need to Add Map Notes. Follow the following steps to digitise the area of an agricultural field: