AndreaBozzo/ceres-open-data-index huggingface dataset:
Nitrate Vulnerable Zones (NVZ) 2017 - Combined (Final Designations)

PLEASE NOTE: This dataset has been retired, as it has been superseded by the dataset for Nitrate Vulnerable Zones (NVZ) 2021 Designations. See: https://environment.data.gov.uk/dataset/60be356d-6475-4d51-9572-9f8c09f1a764

This dataset sets out the Nitrate Vulnerable Zone designations following the 4 yearly review for implementation in 2017. These are the final designations following appeals.

Nitrate Vulnerable Zones (NVZs) are areas designated as being at risk from agricultural nitrate pollution.
The designations are made in accordance with the Nitrate Pollution Prevention Regulations 2015.

Waters are defined within the Nitrates Directive as polluted if they contain or could contain, if preventative action is not taken, nitrate concentrations greater than 50mg/l. 

This dataset supersedes the previous dataset ‘Nitrate Vulnerable Zones (NVZ) 2017 – Surface Waters / Groundwaters / Eutrophic Waters (Pre appeals)’. Attribution statement: © Environment Agency copyright and/or database right.
Derived in part from geological mapping data provided by the British Geological Survey © NERC.
Derived in part from data provided by the National Soils Research Institute © Cranfield University.
Contains Ordnance Survey data © Crown copyright and database rights 2016.
Derived in part from data provided by the Department for the Environment, Farming and Rural Affairs © Crown 2016 copyright Defra.
Derived in part from data provided by the Centre for Ecology and Hydrology © NERC.
Derived in part from data provided by UK Water Companies.

Tags: EC directive on water protection, agricultural pollution, environment, estuary pollution, eutrophication, freshwater pollution, groundwater, groundwater pollution, groundwater protection, groundwater quality, nitrate, surface runoff, surface water, surface water management, water pollution, water protection, water protection directive
Organization: Environment Agency
Multibeam Bathymetry

Multibeam echo sounders, for Bathymetric survey, use sonar pulses to measure the distance between the survey vessel and the seabed. This instrument collects point data at a resolution of 25cm or better, depending on water depth, vessel speed and bed topography and produces a high resolution elevation dataset of the underwater terrain. 

The Environment Agency's Multibeam Bathymetric data archive includes digital elevation data derived from bathymetric surveys carried out for a range of applications and locations where surveys have been previously commissioned. Multibeam data is available at 50cm resolution and supplied as an ESRI ASCII Raster which contains height, relative to Ordnance Survey Newlyn datum.

Data is available in 5km download zip files for each year of survey. Within each downloaded zip file are ASCII files aligned to the Ordinance Survey grid. The size of each tile is dependant upon the spatial resolution of the data. Elevation values are presented in metres.

Please refer to the metadata index catalgoues for the survey date captured and spatial resolution of the imagery.  Attribution statement: © Environment Agency copyright and/or database right 2019. All rights reserved.

Tags: Bathymetry, Elevation, elevation, environment, mapping, oceans, remote sensing, sea bed
Organization: Environment Agency
LIDAR Ground Truth Surveys

The Environment Agency LIDAR Ground Truth surveys dataset is an archive of elevation points and attribute information that have been independently surveyed to verify the accuracy of the EA's LIDAR timestamped surveys. Captured by various independent surveyors, a ground truth survey is a collection of a few hundred points captured on a flat, unambiguous surface such as a tarmac car park or tennis court using GPS. Each ground truth point has an accuracy of +/-3cm R.M.S.E and contains attribute information such as the date of survey, surface type, survey method and transformation and geoidal models used. A ground truth survey may potentially be used for multiple LIDAR surveys provided it is less than 5 years old, or 3 years for coastal projects.

The LIDAR timestamped survey is compared against the ground truth survey to assess the Root Mean Square Error (R.M.S.E), standard deviation and random error of the LIDAR. All LIDAR surveys must report an error of less than +/-15cm RMSE and 10cm for standard deviation and random error to pass quality control. For the specific ground truth results for a LIDAR survey please contact us. Attribution statement: © Environment Agency copyright and/or database right 2015. All rights reserved.

Tags: Elevation, GIS digital format, LIDAR, elevation, environment, mapping, remote sensing, survey
Organization: Environment Agency
Indicative Flood Risk Areas - People Sensitivity by LLFA

PLEASE NOTE: this dataset has been retired. It has been superseded by data for Flood Risk Areas: https://environment.data.gov.uk/dataset/f3d63ec5-a21a-49fb-803a-0fa0fb7238b6

The Indicative Flood Risk Areas are primarily based on an aggregated 1km square grid Updated Flood Map for Surface Water (1 in 100 and 1000 annual probability rainfall), informally referred to as the “blue square map”. 

This dataset is a component part of Indicative Flood Risk Areas (shapefiles)

A bundle download of all Indicative Flood Risk Areas spatial datasets is also available from this record. Please see individual records for full details and metadata on each product. Attribution statement: © Environment Agency copyright and/or database right 2016. All rights reserved.
Contains public sector information licensed under the Open Government Licence

Tags: Shapefile 2017, environment, flood
Organization: Environment Agency
Indicative Flood Risk Areas - People Sensitivity Grid

PLEASE NOTE: this dataset has been retired. It has been superseded by data for Flood Risk Areas: https://environment.data.gov.uk/dataset/f3d63ec5-a21a-49fb-803a-0fa0fb7238b6

The Indicative Flood Risk Areas are primarily based on an aggregated 1km square grid Updated Flood Map for Surface Water (1 in 100 and 1000 annual probability rainfall), informally referred to as the “blue square map”. 

This dataset is a component of Indicative Flood Risk Areas (shapefiles)

A bundle download of all Indicative Flood Risk Areas spatial datasets is also available from this record. Please see individual records for full details and metadata on each product. Attribution statement: © Environment Agency copyright and/or database right 2016. All rights reserved.

Tags: Shapefile 2017, environment, flood
Organization: Environment Agency
Indicative Flood Risk Areas - Communities at Risk data

PLEASE NOTE: this dataset has been retired. It has been superseded by data for Flood Risk Areas: https://environment.data.gov.uk/dataset/f3d63ec5-a21a-49fb-803a-0fa0fb7238b6

Shapefile for Indicative Flood Risk Areas generated using the Environment Agency's Communities at Risk Approach.  This information is provided by the Environment Agency for use by LLFAs in their review during 2017 of Preliminary Flood Risk Assessments and Flood Risk Areas under the Flood Risk Areas.  it must be used in conjunction with data for Indicative Flood Risk Areas generated by the Environment Agency using the cluster method as well.

The Indicative Flood Risk Areas are primarily based on an aggregated 1km square grid Updated Flood Map for Surface Water (1 in 100 and 1000 annual probability rainfall), informally referred to as the “blue square map”. 

This dataset is a component of Indicative Flood Risk Areas (shapefiles)

A bundle download of all Indicative Flood Risk Areas spatial datasets is also available from this record. Please see individual records for full details and metadata on each product. Attribution statement: © Environment Agency copyright and/or database right 2016. All rights reserved.

Tags: Indicative Flood Risk Areas, environment, flood
Organization: Environment Agency
Indicative Flood Risk Areas - Clusters

PLEASE NOTE: this dataset has been retired. It has been superseded by data for Flood Risk Areas: https://environment.data.gov.uk/dataset/f3d63ec5-a21a-49fb-803a-0fa0fb7238b6

The Indicative Flood Risk Areas are primarily based on an aggregated 1km square grid Updated Flood Map for Surface Water (1 in 100 and 1000 annual probability rainfall), informally referred to as the “blue square map”. 

•	Cluster Maps – are aggregations of 3km by 3km squares that each contain at least 4 (in Wales) or 5 (in England) touching "blue squares" (i.e. 1km grid squares where one of the thresholds above is exceeded)

This dataset forms part of Indicative Flood Risk Areas (shapefiles)

A bundle download of all Indicative Flood Risk Areas spatial datasets is also available from this record. Please see individual records for full details and metadata on each product. Attribution statement: © Environment Agency copyright and/or database right 2016. All rights reserved.

Tags: Shapefile 2017, environment, flood
Organization: Environment Agency
Indicative Flood Risk Areas - 1km Blue Squares

PLEASE NOTE: this dataset has been retired. It has been superseded by data for Flood Risk Areas: https://environment.data.gov.uk/dataset/f3d63ec5-a21a-49fb-803a-0fa0fb7238b6

The Indicative Flood Risk Areas are primarily based on an aggregated 1km square grid Updated Flood Map for Surface Water (1 in 100 and 1000 annual probability rainfall), informally referred to as the “blue square map”. 

This dataset is a component of Indicative Flood Risk Areas (shapefiles)

A bundle download of all Indicative Flood Risk Areas spatial datasets is also available from this record. Please see individual records for full details and metadata on each product. Attribution statement: © Environment Agency copyright and/or database right 2016. All rights reserved.

Tags: Indicative Flood Risk Areas, environment, flood
Organization: Environment Agency
Hydrometric Monitoring Points

This record is for Approval for Access product AfA216. This dataset shows the (approximate) location of all current sites used for monitoring water quantity, including groundwater, rivers, lakes, estuaries and rainfall. Precise locations are not provided in this dataset for Personal Data reasons. More detailed locations may be available.  This hydrometric sites dataset contains the locations of hydrometric monitoring points (surface water, groundwater and climate sites). The data reflects current sites.
INFORMATION WARNIING
Site locations are provided only to an accuracy of 1km. Attribution statement: © Environment Agency copyright and/or database right 2015. All rights reserved.

Tags: environment, groundwater, inlandWaters, monitoring data, rain
Organization: Environment Agency
Flow Compliance Bands

This is a national picture of flow compliance with the environmental flow indicator shown for Water Framework Directive Cycle 2 river water bodies.
The Environment Flow Indicator (EFI) is used to indicate where abstraction pressures may start to cause undesirable effect on river habitats and species. Non-compliance with the EFI is divided into 3 categories depending on how far below the EFI recent actual flows are. Attribution statement: © Environment Agency copyright and/or database right 2015. All rights reserved.

Tags: environment
Organization: Environment Agency
Dune Slack Likely Locations

This record is for Approval for Access product AfA440. This product shows the likely locations and boundaries of dune slacks for sites around England. A dune slack is a depression in coastal dune system.It is based upon a morphological definition of dune slacks and uses LIDAR Digital Terrain Model (DTM) data and a derived slope model. 

Each slack has height statistics calculated for it. The data are provided in Polygon Shapefile format.
Geographical coverage is incomplete because of limits in data available. It includes those areas where the Environment Agency, Natural England and the Regional Coastal Monitoring Programme have carried out sufficient aerial and ground surveys.

Please note that this content contains Ordnance Survey data © Crown copyright and database right [2014] and you must ensure that a similar attribution statement is contained in any sub-licences of the Information that you grant together with a requirement that any further sub-licences do the same.

INFORMATION WARNING
This product shows likely locations of dune slacks using a morphological definition. Dune slack boundaries based upon phytological associations may differ to this product. This is particularly important to remember where sand dunes are covered by large extents of scrub or woodland, as through the use of the LIDAR DTM, slacks can be identified under scrub and tree vegetation. However this also gives the product unique advantages in considering vegetation recovery after scrub or tree clearance. Attribution statement: © Environment Agency copyright and/or database right 2019. All rights reserved.

Tags: Sand Dunes, elevation, environment, geoscientificInformation, imageryBaseMapsEarthCover, mapping, remote sensing, sand dune
Organization: Environment Agency
Control Stations (EACS) Database

Environment Agency Control Stations (EACS) or Benchmarks (EABMs) have been created since the 1990s for use as survey control for Environment Agency projects.
Control stations are fixed locations in the country which have been accurately surveyed using GPS / GNSS data. Our control stations are often near Environment Agency structures and they are used as reference heights for many different types of surveys which are carried out near the control stations.
The control stations are graded with different levels of accuracy due to the varied survey techniques that were used in establishing the points. Attribution statement: © Environment Agency copyright and/or database right 2016. All rights reserved.

Tags: Control Stations, GIS digital format, environment, remote sensing, survey
Organization: Environment Agency
Coastal Design Sea Levels (2018) bundle

Coastal Design/Extreme Sea Levels is a GIS dataset and supporting information providing design / extreme sea level and typical surge information around the coastline of the UK, including England, Wales, Scotland, Northern Ireland, Isle of Man and Jersey. The information is relevant under present day (year 2018) conditions and does not account for future changes due to climate change, such as sea level rise. This is a specialist dataset which informs on work commenced around the coast ranging from coastal flood modelling, scheme design, strategic planning and flood risk assessments.

This 2018 update to the Coastal Design Sea Levels dataset was carried out in partnership for the UK Coastal Flood Forecasting partnership, which includes the Environment Agency (EA), Scottish Environment Protection Agency (SEPA), Natural Resources Wales (NRW) and the Department for Infrastructure Northern Ireland (DfINI).

Bundle of datasets including the following (please see individual dataset records for full metadata and links to WMS/WFS services):

Coastal Design Sea Levels - Coastal Flood Boundary Estuary Boundaries (2018)
Coastal Design Sea Levels - Coastal Flood Boundary Extreme Sea Levels (2018)
Coastal Design Sea Levels - Coastal Flood Boundary Extreme Sea Levels Estuary (2018)
Coastal Design Sea Levels - Coastal Flood Boundary Gauge Data (2018)
Coastal Design Sea Levels - Coastal Flood Boundary Surge Shapes (2018)
Coastal Design Sea Levels - Coastal Flood Boundary Surge Shapes Data (2018) Attribution statement: © Environment Agency copyright and/or database right 2019. All rights reserved.
Copyright Associated British Ports 2010-2014

Tags: climatologyMeteorologyAtmosphere, environment, environmental monitoring, flooding, oceans, planning measure
Organization: Environment Agency
Climate change allowances - peak rainfall by management catchment

This dataset contains peak rainfall allowances showing the anticipated changes to peak rainfall by management catchment. It contains information generated by Met Office Hadley Centre

The Environment Agency provides peak rainfall allowances in the advice it gives for flood risk assessments and strategic flood risk assessments (https://www.gov.uk/guidance/flood-risk-assessments-climate-change-allowances) and for risk management authorities when claiming Flood & Coastal Erosion Risk Management Grant-in-Aid in support of new projects, schemes and strategies (https://www.gov.uk/guidance/flood-and-coastal-risk-projects-schemes-and-strategies-climate-change-allowances).

Allowances are included for two future time-frames - 2050's and 2070's. The 2050's epoch is 2040 to 2059 and the 2070's epoch is 2060 to 2080.

The range of allowances included is based on percentiles. A percentile describes the proportion of possible scenarios that fall below an allowance level. The 50th percentile is the point at which half of the possible scenarios for peak flows fall below it, and half fall above it.

The:

- central allowance is based on the 50th percentile
- upper end allowance is based on the 95th percentile Attribution statement: © Environment Agency copyright and/or database right 2022. All rights reserved.

Tags: Climate change allowances, Flood risk assessments, Peak rainfall allowances, climatologyMeteorologyAtmosphere, environment, inlandWaters
Organization: Environment Agency
Climate Change Allowances - Peak River Flow by Management Catchment

This dataset contains peak river flow allowances showing the anticipated changes to peak flow by management catchment.  It contains information generated by UK Centre for Ecology and Hydrology using UK Climate projections.

The Environment Agency uses peak river flow allowances as benchmarks for the advice it gives as a statutory consultee for flood risk assessments and strategic flood risk assessments (https://www.gov.uk/guidance/flood-risk-assessments-climate-change-allowances). The Environment Agency also uses peak river flow allowances in guidance for risk management authorities when claiming Flood & Coastal Erosion Risk Management Grant-in-Aid in support of new projects, schemes and strategies (https://www.gov.uk/guidance/flood-and-coastal-risk-projects-schemes-and-strategies-climate-change-allowances).

Allowances are included for three future time-frames - 2020's, 2050's and 2080's. The 2020's epoch is 2015 to 2039, 2050's epoch is 2040 to 2069 and the 2080's epoch is 2070 to 2125. 

The range of allowances included is based on percentiles. A percentile describes the proportion of possible scenarios that fall below an allowance level. The 50th percentile is the point at which half of the possible scenarios for peak flows fall below it, and half fall above it.

The:

- central allowance is based on the 50th percentile
- higher central allowance is based on the 70th percentile
- upper end allowance is based on the 95th percentile Attribution statement: © Environment Agency copyright and/or database right 2021. All rights reserved.

Tags: Climate change allowances, Flood risk assessment, Peak river flow, climatologyMeteorologyAtmosphere, environment, inlandWaters
Organization: Environment Agency
CASI and LIDAR Habitat Map

This record is for Approval for Access product AfA439. A habitat map derived from airborne data, specifically CASI (Compact Airborne Spectrographic Imager) and LIDAR (Light Detection and Ranging) data.  

The habitat map is a polygon shapefile showing site relevant habitat classes. Geographical coverage is incomplete because of limits in data available. It includes those areas where the Environment Agency, Natural England and the Regional Coastal Monitoring Programme have carried out sufficient aerial and ground surveys in England.

The habitat map is derived from CASI multispectral data, LIDAR elevation data and other GIS products. The classification uses ground data from sites collected near to the time of CASI capture. We use ground data to identify the characteristics of the different habitats in the CASI and LIDAR data. These characteristics are then used to classify the remaining areas into one of the different habitats.

Habitat maps generated by Geomatics are often derived using multiple data sources (e.g. CASI, LIDAR and OS-base mapping data), which may or may not have been captured coincidentally. In instances where datasets are not coincidentally captured there may be some errors brought about by seasonal, developmental or anthropological change in the habitat. 

The collection of ground data used in the classification has some limitations. It has not been collected at the same time as CASI or LIDAR capture; it is normally within a couple of months of CASI capture. Some variations between the CASI data and situation on site at the time of ground data collection are possible. A good spatial coverage of ground data around the site is recommended, although not always practically achievable. For a class to be mapped on site there must have been samples collected for it on site. If the class is not seen on site or samples are not collected for a class, it cannot be mapped. 

No quantitative accuracy assessment has been carried out on the habitat map, although the classification was trained using ground data and the final habitat map has been critically evaluated using Aerial Photography captured simultaneously with the CASI data by the processors and independently by habitat specialists.
Please note that this content contains Ordnance Survey data © Crown copyright and database right [2014] and you must ensure that a similar attribution statement is contained in any sub-licences of the Information that you grant, together with a requirement that any further sub-licences do the same. Attribution statement: © Environment Agency copyright and/or database right 2015. All rights reserved.

Tags: CASI, Habitat Map, LIDAR, elevation, environment, environmental monitoring, geoscientificInformation, imageryBaseMapsEarthCover, remote sensing, vegetation
Organization: Environment Agency
Coastal Topographic Surveys

Coastal Topographic Surveys are height transects that form part of the Anglian Coastal Monitoring Programme. A surveyor using a GNSS (Global Navigation Satellite System) staff will make observations of elevation and usually substrate type at recorded coordinates. This is usually carried out along a fixed transect line, but can be along a grid or, when the staff is mounted to an ATV (All terrain vehicle), a high volume of ‘spot height’ measurements through the survey area.  The outputs of this survey are the easting and northing coordinates of each location where a measurement was taken and the elevation in metres above Ordnance Datum (Newlyn). The transect survey data will also contain a chainage position of where along the transects the measurement was taken and a two letter substrate code. Attribution statement: © Environment Agency copyright and/or database right 2019. All rights reserved.

Tags: Elevation, GIS digital format, Topograhic, beach, coastal environment, elevation, environment, mapping
Organization: Environment Agency