This dataset consists of an interactive map (and supporting guidance) containing background information that informs how we understand flood risk across the South East 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.

The Coastal Overview data layers identifies the lead authority for the management of discrete stretches of the English coast as defined by the Seaward of the Schedule 4 boundary of the Coastal Protection Act 1949. The data are intended as a reference for GIS users and Coastal Engineers with GIS capability to identify the responsible authority or whether the coast is privately owned. The information has been assigned from the following sources, listed in by preference: Shoreline Management Plans 1; Environment Agency’s RACE database; Consultation with Coastal Business User Group and Local Authority Maritime records where possible. A confidence rating is attributed based on where the data has been attributed from and the entry derived from the source data. The following data is intended as a reference document for GIS users and Coastal Engineers with GIS capability to identify the responsible authority and the assigned EA Coastal Engineer so as to effectively manage the coast for erosion and flooding. The product comprises 3 GIS layers that are based on the OS MasterMap Mean High Watermark and consists of the following data layers that are intended to be displayed as with the confidence factor that the information is correct. Coastal Overview Map [Polyline] –details the Lead Authority, EA Contact and other overview information for coast sections; Coastal Overview Map [Point] – shows the start point of the discrete stretch of coast and the lead authority; and Coastal Legislative Layer [Polyline] - represents the predominant risk; flooding or erosion, which are assigned to each section of the coastline. Attribution statement: © Environment Agency copyright and/or database right 2016. All rights reserved.Contains Ordnance Survey data © Crown copyright and database rights

The Sussex coast was mapped during several visits to the area using AGDS, and drop down video. On interest was the location of reef areas and chalk outcrops thoughout the area in addtion to general biological mapping for conservation.

The Coastal Overview data layers identifies the lead authority for the management of discrete stretches of the English coast as defined by the Seaward of the Schedule 4 boundary of the Coastal Protection Act 1949. The data are intended as a reference for GIS users and Coastal Engineers with GIS capability to identify the responsible authority or whether the coast is privately owned. The information has been assigned from the following sources, listed in by preference: Shoreline Management Plans 1; Environment Agency’s RACE database; Consultation with Coastal Business User Group and Local Authority Maritime records where possible. A confidence rating is attributed based on where the data has been attributed from and the entry derived from the source data. The following data is intended as a reference document for GIS users and Coastal Engineers with GIS capability to identify the responsible authority and the assigned EA Coastal Engineer so as to effectively manage the coast for erosion and flooding. The product comprises 3 GIS layers that are based on the OS MasterMap Mean High Watermark and consists of the following data layers that are intended to be displayed as with the confidence factor that the information is correct. Coastal Overview Map [Polyline] –details the Lead Authority, EA Contact and other overview information for coast sections; Coastal Overview Map [Point] – shows the start point of the discrete stretch of coast and the lead authority; and Coastal Legislative Layer [Polyline] - represents the predominant risk; flooding or erosion, which are assigned to each section of the coastline.

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 conservation 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 outputs of the project included a Combined Level3/Level4 habitat map, presented here after translation to the EUNIS habitat classification system from the Marine Habitat Classification System for Britain and Ireland. Each polygon of the original output contained up to 46 different biotopes, either predicted by the model or recorded as present, and presented in order of likelihood. Only the primary biotope has been taken from the original dataset to produce this EUNIS output, polygons originally containing more than one habitat are flagged in the "VAL_COMM" field. Information on whether the biotope was recorded as present or was a predictive output of the model, and a confidence value present in the original dataset have also been recorded in the "VAL_COMM" field

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.

AbstractThis is a spatial dataset that predicts the distribution of broad-scale marine habitats (EUNIS Level 3 classification) within across the Holderness coast nearshore region, produced through the interpretation of geophysical datasets combined with existing benthic sample data.Why is it important that NE publishes this data?The Holderness coast is a unique and diverse marine ecosystem, but it is sensitive to increasing infrastructure and development applications in the region. This broad-scale habitat map is an important addition to Natural England's evidence base and will help to guide our advice on marine and coastal development in the area. advice. It also likely to be a useful resource for developers during the planning process, particularly to guide where further survey efforts should be targeted, and may too be of interest to any other stakeholders working along the Holderness coast.ExtentYorkshire Coast: The nearshore area between Spurn Point and the area South of Flamborough Head, encompassing Smithic Sands and Holderness Inshore Marine Conservation Zone (MCZ), and parts of Flamborough and Filey Coast Special Protection Area (SPA), Flamborough Head Special Area of Conservation (SAC) and the Site of Special Scientific Interest (SSSI) and Humber Estuary SAC, SPA and SSSILineageA number of data layers from different sources were geo-processed to produce this map layer.The two main data layers used were:(a) Bathymetry mosaic. These data were acquired by the UK Hydrographic Office, on behalf of the UK Civil Hydrography Programme and the Marine Conservation Zones (DEFRA). The British Geological Society (BGS) processed the raw data to form single surface bathymetry mosaics, and it was these mosaic layers that were shared to Natural England via Open Government License, and subsequently passed on to our contractors, Envision.(b) Backscatter layers. These data were collected and processed for the Maritime and Coastguard Agency (MCA) under the Civil Hydrography Programme. These layers were download directly from the BGS GeoIndex viewer, by our contractors Envision, under Open Government License.Our contractors, Envision, combined both datasets (a) and (b) to create a geophysical dataset for the Project Area, from which parameters such as rugosity and variability were derived, as these are good indicators of heterogenic habitats.Envision then integrated these physical derivatives, with existing benthic sample data (c, d, e), to infer the distribution of habitats across the Project Area. The benthic sample data was sourced from the following national datasets, all available under Open Government License / without limitations of use:(c) Cefas OneBenthic (including data from the Regional Seabed Monitoring Plan)(d) EMODnet Seabed Habitats - collated habitat point data (2019)(d) BGS GeoIndex Sample Data - shallow geology and geophysics data collected as either part of regional or local mapping work, or provided to BGS by third parties.(e) Cefas OneBenthic (including data from the Regional Seabed Monitoring Plan)Quality Assurance of the final map product was carried out by Envision and internally at Natural England.Full metadata can be viewed on environment.data.gov.uk

The National Coastal Erosion Risk Map shows projected areas at risk from erosion. The erosion risk zones are created by splitting the coastline into ‘frontages’. These frontages are defined as lengths of coast with consistent characteristics based on location, the cliff behaviour characteristics and the defence characteristics.

It is intended as an up-to-date and reliable benchmark dataset showing erosion risk extents for:

Two periods: Medium Term (up to 2055) and Long Term (up to 2105)

Two management scenarios: With Shoreline Management Plans delivered and No Future Intervention

Three climate scenarios: Present Day climate (2020), Higher Central allowance and Upper End allowance. The two allowances use sea level rise data from UKCP18 RCP8.5 70th and 95th percentiles respectively.

Defence type and SMP policies for each of the two periods described above are included. All distances are cumulative over time and given in metres.

Ground instability zones show areas of geologically complex cliffs where land has previously experienced ground movement. This zone uses the rear scarp position as the landward extent. A buffer zone identified as having the potential risk of future movement in the next 100 years is also included.

INFORMATION WARNINGS:

The data and associated information are intended for guidance only - it cannot provide details for individual properties.

The data shows areas of land likely to be at erosion risk but does not show the precise future position of the shoreline.

Erosion may happen faster or slower than what we show, and risk may change over time.

The information is provided as best estimates based upon historic data termed ‘present day’ and, the higher central and upper end sea level rise climate change allowances representing UKCP18 RCP8.5 sea level rise projections. Unlike the previous NCERM, data ranges based on percentiles are not provided.

The NCERM information considers the predominant risk at the coast, although flooding and erosion processes are often linked, and data on erosion of foreshore features are, in general, not included.

Some parts of the coast have complex geology causing ground instability. Unlike the previous NCERM, data on these zones of ground instability are provided. More detailed information on these areas may be available from local authorities.

This dataset succeeds National Coastal Erosion Risk Mapping (NCERM) - National (2018 - 2021) Attribution statement: © Environment Agency copyright and/or database right

This service contains various Aquaculture data. This includes Shellfish Production, Optimum Sites of Aquaculture potential (AQ1), Bivalve Classification area and Areas of Future Potential for Aquaculture. ------------------------------------------------------------------------------------------------------------The Shellfish Production dataset shows shellfish farm species production data grouped by water body. Water bodies were taken from the water framework directive (WFD) coastal and transitional water bodies database, and joined with the data from CEFAS. Data contains information on species present and production values. This dataset was created by ABPmer under contract to DEFRA (Contract reference MB106). An Excel spreadsheet was supplied to ABPmer by CEFAS which contained a list of waterbodies with the species cultivated per waterbody, production per waterbody and the number of businesses operating for 2007. The production data was joined to a shapefile containing waterbodies based on name of waterbody, and all sites where no shellfish cultivation occurred were removed. The same procedure was repeated with the data of species present. A shapefile containing both number of species grown and tonnes produced per waterbody was created by merging the two datasets based on waterbody name. ------------------------------------------------------------------------------------------------------------The Optimum Sites of Aquaculture Potential (AQ1) dataset shows areas identified through GIS modelling of suitable environmental conditions in East Coast Inshore and Offshore Marine Plan Areas favourable for macroalgae culture, Bivalve Bottom Culture, Finfish Cage, Lobster Restocking, Rope Cultured Bivalve Shellfish or Trestle/Bag Culture of Bivalves. This dataset has been derived from of a wider study assessing aquaculture potential in the South and East Marine Plan Areas for the Marine Management Organisation, project MMO1040. It was created using the Natural Resource model which forms part of the MMO project 1040 Spatial Trends in Aquaculture Potential in the South and East Coast Inshore and Offshore Marine Plan Areas. The Natural Resource model is made up of three existing environmental datasets: bathymetry derived from the Department of Food and Rural Affairs (Defra) Digital Elevation Model (DEM), predicted seabed sediments and combined seabed energy, both from UKSeaMap 2010 (McBreen, et al., 2010). Suitable environmental conditions applied include - low-moderate seabed energy, any sediment type and 10-25 m water depth for current potential. The depth limitations in this instance are based on the industry current reliance on scuba-divers for maintenance and husbandry. It is anticipated that as the industry develops it will become less reliant on divers and be able to move into deeper waters. Note that although the Natural Resource model used the best environmental data available for use in the study but there are significant limitations and gaps. These are outlined below and are discussed in more detail in the final project report: The model does not contain any measure of water quality (e.g. dissolved oxygen, sediment loading or contaminants) and therefore is likely to overestimate the area deemed suitable for aquaculture developments, particularly fin fish cage culture, rope grown bivalve culture and macroalgae culture. The UKSeaMap 2010 predicted seabed sediment map (McBreen, et al., 2010) is modelled at a coarse scale which has led to inaccuracies in the identification of areas which have potential for aquaculture development. UKSeaMap 2010 is known to under-estimate rock habitats because of the type of sampling data (sediment grabs) used to underpin the model. The MMO is working with JNCC to develop these data to lead to improvements in future models. The UKSeaMap 2010 combined seabed energy map included in the model (McBreen, et al., 2010) provides an approximation of the environmental conditions that are likely to limit aquaculture development (e.g. strong currents and large waves) but more accurate results could be obtained by using more precise component datasets such as the maximum wave height and tidal current range, where these datasets are available and the precise limitations of the aquaculture activities of interest are known. The dataset shows potential based on current technologies as defined in Table 10 of the MMO1040 Aquaculture Potential Final Report which is published on the MMO website's evidence pages. ------------------------------------------------------------------------------------------------------------The Bivalve Classification dataset classifies where the production of shellfish can be commercially harvested. All areas listed are designated for species that may be harvested as well as the classification of the shellfish waters. Classification of harvesting areas is required and implemented directly in England and Wales under European Regulation 854/2004. The co-ordination of the shellfish harvesting area classification monitoring programme in England and Wales is carried out by the Centre for Environment, Fisheries and Aquaculture Science, Weymouth (Cefas) on behalf of the Food Standards Agency (FSA). Cefas will make recommendations on classification according to an agreed protocol with the FSA making all final classification decisions and setting out the overall policy. Shellfish production areas are classified according to the extent to which shellfish sampled from the area are contaminated with E. coli. The Classification Zones/Production areas delineate areas where shellfish may be commercially harvested. Coordinates for the zone boundaries are calculated during a sanitary (ground) survey of the production area and where appropriate they are based on the OS Mastermap Mean High Water Line (coordinate accuracy <10m). The maps/zones are correct at time of publication but are updated when necessary depending on hygiene testing results. The current maps (jpgs) are available from the Cefas website ( https://www.cefas.co.uk/publications-data/food-safety/classification-and-microbiological-monitoring/england-and-wales-classification-and-monitoring/classification-zone-maps ) or a listing is available from the FSA website ( http://www.food.gov.uk/enforcement/monitoring/shellfish/shellharvestareas ) ------------------------------------------------------------------------------------------------------------The Current Aquaculture Potential layer highlights areas identified through GIS modelling of suitable environmental conditions in the South and East Marine Plan Areas favourable for macroalgae culture, Bivalve Bottom Culture, Finfish Cage, Lobster Restocking, Rope Cultured Bivalve Shellfish or Trestle/Bag Culture of Bivalves in the South and East Coast Marine Plan Areas. This dataset forms part of a wider study assessing different aquaculture potential in the South and East Marine Plan Areas for the Marine Management Organisation, project MMO1040. This dataset was created using the Natural Resource model which forms part of the MMO project 1040 Spatial Trends in Aquaculture Potential in the South and East Coast Inshore and Offshore Marine Plan Areas. The Natural Resource model is made up of three existing environmental datasets: bathymetry derived from the Department of Food and Rural Affairs (Defra) Digital Elevation Model (DEM), predicted seabed sediments and combined seabed energy, both from UKSeaMap 2010 (McBreen, et al., 2010). Suitable environmental conditions applied include - low-moderate seabed energy, any sediment type, 10-25 m water depth for current potential and 25-50 m water depth for near future potential). The depth limitations in this instance are based on the industry current reliance on scuba-divers for maintenance and husbandry. It is anticipated that as the industry develops it will become less reliant on divers and be able to move into deeper waters. Note that although the Natural Resource model used the best environmental data available for use in the study, there are significant limitations and gaps. These are outlined below and are discussed in more detail in the final project report: The Natural Resource model does not contain any measure of water quality (e.g. dissolved oxygen, sediment loading or contaminants) and therefore is likely to overestimate the area deemed suitable for aquaculture developments, particularly fin fish cage culture, rope grown bivalve culture and macroalgae culture. The UKSeaMap 2010 predicted seabed sediment map (McBreen, et al., 2010) is modelled at a coarse scale which has led to inaccuracies in the identification of areas which have potential for aquaculture development. UKSeaMap 2010 is known to under-estimate rock habitats because of the type of sampling data (sediment grabs) used to underpin the model. It is recommended that this component of the model is supplemented or replaced by higher resolution sediment maps where they are available for the region of interest. The UKSeaMap 2010 combined seabed energy map included in the model (McBreen, et al., 2010) provides an approximation of the environmental conditions that are likely to limit aquaculture development (e.g. strong currents and large waves) but more accurate results could be obtained by using more precise component datasets such as the maximum wave height and tidal current range, where these datasets are available and the precise limitations of the aquaculture activities of interest are known. The potential for development for the feature is "Current" (0-5 years), "Near Future" (5-10 years) or "Future" (10-20 years), the definitions of which are presented in Table 13 within the main report.

Neptune Coastline CampaignOver the past 50 years, the people-powered Neptune Coastline Campaign enabled us to buy 574 miles of glorious coastline; securing these special places for all to enjoy. Today we look after 775 miles of coastline around England, Wales and Northern Ireland.Hundreds of thousands of people have donated to our coastal appeals or supported our work on the coast, so future generations can enjoy this beautiful, dramatic and diverse landscape.We go to the coast to play, to relax and to connect with the natural world and the elements. Days at the seaside or walks along coastal cliffs are deeply engrained in our collective memory, and we need to cherish them.To celebrate the 50th anniversary of our Neptune campaign, we've launched the next phase of our coastal vision and our 2015 Coast Campaign. Read about our new coastal vision

The EUNIS (version 2007) habitat map was created as part of a bathymetry survey of the nearshore zone between Lee-on-the-Solent and Selsey was commissioned by the Southeast Regional Coastal Monitoring Programme. This was managed by the Channel Coastal Observatory (CCO), commissioned by Southeast Regional Coastal Monitoring Programme and completed in 2013.

The results of the habitat mapping exercise were derived from aerial photography interpretation (API). The shapefiles produced are available to holders of OS MasterMap licenses. The habitat mapping dataset is held at Plymouth Coastal Observatory however, the Environment Agency is responsible for the GIS data as it was creating using their MasterMap licence. The survey extends from Portland Bill in Dorset to Avonmouth in Bristol and includes the Isles of Scilly. The landward limit of the survey varied but in general is determined by one of the following: Extent of aerial photography; Indicative tidal floodplain; Sites of Special Scientific Interest (SSSIs); Extent of coastal BAP habitats; 5m contour with a 200m landward buffer ; Inclusion of other target habitats. The habitat map was originally created using the Integrated Habitat Survey (IHS) classification originally developed by Somerset Environmental Records Centre. The classification was broadened to include all coastal habitats in South West England. The IHS classification had been substantially modified for the purposes of the habitat mapping. THIS was converted to EUNIS L3 by Ian Saunders at NE and forms the data NE provided to the JNCC as part of the MCZ project ÔÇô Tranche 1. A MESH Confidence Score of 86 was assigned to the dataset based on the information given in the reports supporting the GIS.

Orthorectified aerial photography used was flown to a scale of 1:5000. Photography was flown at low tide on a spring tide between the months of April and September to ensure maximum vegetation coverage. As a result of this and due to adverse weather conditions over some of the key tidal windows the whole project area was not captured in one block, but flown in stages between 2006 and 2009. Although ground-truthing was undertaken to support and validate the habitat map, not all areas were ground-truthed.

A new version of this dataset exists. To see the last version of the Antarctic Digital Database, have a look here: https://data.bas.ac.uk/collections/e74543c0-4c4e-4b41-aa33-5bb2f67df389/

Coastline for Antarctica created from various mapping and remote sensing sources, provided as polygons with ''land'', ''ice shelf'', ''ice tongue'' or ''rumple'''' attribute. Covering all land and ice shelves south of 60S. 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.

With the historic maps in the Geography Visualiser we can make comparisons of the coastline between 1900, the 1940's and present day.This video will show you how.

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.

This record is for Approval for Access product AfA196. This dataset identifies which second generation Shoreline Management Plan is applicable to a particular stretch of coastline. It also identifies the policies which are applicable. It is a polyline, spatial data layer. A Shoreline Management Plan (SMP) is a large-scale assessment of the risks associated with coastal processes and helps reduce these risks to people and the developed, historic and natural environments. Coastal processes include tidal patterns, wave height, wave direction and the movement of beach and seabed materials. The SMPs provide a ‘route map’ for local authorities and other decision makers to move from the present situation towards meeting our future needs, and will identify the most sustainable approaches to managing the risks to the coast in the short term (0-20 years), medium term (20-50 years) and long term (50-100 years). INFORMATION WARNING This dataset was created for the purposes of creating a strategic overview map; as a consequence it was created at a notional scale of 1:250,000, this means that the definition of the breakpoints and the accuracy to which the SMP lengths reflect the 'coastline' is suitable for strategic level use only. Consideration should be given as to whether it should be replaced by a more accurate representation. More detailed representations of the SMP boundaries may be available at Local/Regional level. Costing information is at a broad scale and indicative only. It not appropriate for any detailed costings work, or for identifying planned capital expenditure. This dataset contains hyperlinks to websites operated by other parties. We do not control such websites and we take no responsibility for, and will not incur any liability in respect of, their content. Our inclusion of hyperlinks to such websites does not imply any endorsement of views, statements or information contained in such websites.

1965 Coastal Land Use Data. Created from physical survey carried out by University of Reading. Project details: https://www.nationaltrust.org.uk/documents/mapping-our-shores-fifty-years-of-land-use-change-at-the-coast.pdf In 1965, concerned about the impact of development along the coast, the National Trust launched ‘Enterprise Neptune’ to help raise money to buy and protect the most ‘pristine’ stretches. In order to understand which areas were most at risk from development, University of Reading staff & students were commissioned to carry out a physical coastal land use survey that was lovingly recorded on 350 OS 2.5 miles to 1 inch scale maps.Half a century later, the Neptune Coastline Campaign, has raised £65 million, enabling the National Trust to acquire an additional 550 miles of coastline to a total of 775 miles. To celebrate this milestone the Trust commissioned the University of Leicester to re-survey the land use along the coast with a desktop methodology that focused on change (2014 Coastal Land Use dataset).For more information on the creation of the Land Use datasets see: http://onlinelibrary.wiley.com/doi/10.1111/tran.12128/abstract

This is a spatial dataset that shows the level of confidence associated with the predicted distributions of broad-scale marine habitats (EUNIS Level 3 classifications) in the above dataset, using the MESH confidence assessment methodology.

The Holderness coast is a unique and diverse marine ecosystem, but it is sensitive to increasing infrastructure and development applications in the region. This broad-scale habitat map is an important addition to Natural England's evidence base and will help to guide our advice on marine and coastal development in the area. advice. It also likely to be a useful resource for developers during the planning process, particularly to guide where further survey efforts should be targeted, and may too be of interest to any other stakeholders working along the Holderness coast.

Yorkshire Coast: The nearshore area between Spurn Point and the area South of Flamborough Head, encompassing Smithic Sands and Holderness Inshore Marine Conservation Zone (MCZ), and parts of Flamborough and Filey Coast Special Protection Area (SPA), Flamborough Head Special Area of Conservation (SAC) and the Site of Special Scientific Interest (SSSI) and Humber Estuary SAC, SPA and SSSI

This is the record for Coastal Habitats Grouped which forms a part of the Habitat Networks (Individual) (England) dataset (link below).

The habitat network maps seek to apply the best evidence and principles and to use the best available nationally consistent spatial data. The habitat network maps are developed around 4 distinct habitat components sets and include 4 distinct network zones where action may be undertaken to build greater ecological resilience. The different elements of the maps are described below: Habitat Components; • The location of existing patches of a specific habitat for which the network is developed. This is termed the ‘Primary habitat’ e.g. lowland heathland. The main baseline data used for this is the Priority Habitat Inventories (PHIv2.2). • The location of additional habitat that naturally form mosaics with the primary habitat e.g. habitats that are most likely to form ecological mosaics possibly used by species associated with the primary habitat. This is termed the ‘Associated habitat’. The main baseline data used for this is the Priority Habitat Inventories (PHIv2.2). • The locations where habitat creation or restoration is known to occur, this is primarily sites under relevant agri-environment options. This is termed the ‘Habitat creation’ • Sites where data suggests small fragments of the primary habitat or degraded habitat exists and where restoration may be possible, this is primarily developed from information held within the current PHI v2.2. This is termed the ‘Restorable habitat’.
Network Zones; • Land within close proximity to the existing habitat components that are more likely to be suitable for habitat re-creation for the particular habitat. These areas are primarily based on soils but in many cases has been refined by also using other data such as hydrology, altitude and proximity to the coast. This is termed the ‘Network Enhancement Zone 1’. • Land within close proximity to the existing habitat components that are unlikely to be suitable for habitat re-creation but where other types of habitat may be created or land management may be enhanced including delivery of suitable Green Infrastructure. This is termed the ‘Network Enhancement Zone 2’. • Land immediately adjoining existing habitat patches that are small or have excessive edge to area ratio where habitat creation is likely to help reduce the effects of habitat fragmentation. This is termed the ‘Fragmentation Action Zone’. • Land within relatively close proximity to the Network Enhancement Zones 1 & 2 that are more likely to be suitable for habitat creation for the particular habitat and identifying possible locations for connecting and linking up networks across a landscape. This is termed the ‘Network Expansion Zone’.
Note: For some habitat networks not all of the habitat components or all the action zones are identified either because the data does not exist or the habitat does not lend itself to identifying particular types of action. Further details are outlined in the Habitat Network Mapping Guidance document. The Network boundary is drawn around the 4 habitat components using a variable buffering process with a generalised distance of 500m although 1km was used for Blanket Bog. As the boundary for each habitat network is tightly drawn around the existing patches of habitat this means that at a national scale the habitat network is composed of a series of smaller ‘networks’ that encapsulates one or more clusters of existing habitat patches. These may be considered as ‘network segments’. The Network Expansion Zone has been drawn around these segments to identify areas where additional action may be undertaken to build greater ecological resilience across the wider landscape.

Coastline for area between 50degS and 60degS. Data published to support the Antarctic Digital Database (ADD) web map visualisation. South Georgia and the South Sandwich Islands taken from the South Georgia GIS (https://sggis.gov.gs/). All other data from Natural Earth ''Land'' and ''Minor Islands'' v4.1.0 1:10m scale shapefiles (https://www.naturalearthdata.com/). Data compiled, managed and distributed by the Mapping and Geographic Information Centre, British Antarctic Survey.