LogoLogo
OS Docs HomeOS NGDOS APIsOS Download ProductsMore than MapsContact Us
  • More than Maps
  • Geographic Data Visualisation
    • Guide to cartography
      • Introduction to cartography
      • Types of maps
      • Symbology
      • Colour
      • Text on maps
      • Generalisation
      • Coordinate reference systems
      • Projections
      • Scale
      • Map legends
      • Map layout
      • Relief representation
      • North arrows
    • Guide to data visualisation
      • Introduction to data visualisation
      • GeoDataViz design principles
      • Types of visualisation
      • Thematic mapping techniques
      • Data visualisation critique
      • Accessible data visualisation
      • Ethical data visualisation
      • Software
      • Data
    • GeoDataViz assets
      • GeoDataViz basemaps
      • Stylesheets
      • GeoDataViz virtual gallery
      • Equal area cartograms
      • How did I make that?
        • Apollo 11 Landing
        • North York Moors National Park, 70 years
        • Snowdonia National Park, 70 years
        • Great Britain's National Parks
        • Great Britain's Islands
        • Great Britain's AONB's and National Scenic Areas
        • Famous shipwrecks of Pembrokeshire
        • Trig pillars today
        • Britain's most complex motorway junctions
      • #30DayMapChallenge
  • Data in Action
    • Examples
  • Demonstrators
    • 🆕Product Viewer
    • Addressing & location demonstrators
      • Address Portfolio overview
      • Which address product should you use?
      • AddressBase
      • AddressBase Core
      • AddressBase Plus
      • AddressBase Premium
      • Address Classifications
      • Addressing Lifecycle
      • OS Emergency Services Gazetteer
      • What are Vertical Streets?
      • Why are there differences in boundaries?
    • Contextual demonstrators
    • Customer best practice
      • Channel Shift
      • Data Management and OS Data Hub
      • End User Licence vs Contractor Licence
      • 🆕 IDs vs Spatial Relationships
      • Why we should capture good quality addresses at source
      • Why we Snap and Trace
    • Network Demonstrators
      • OS Detailed Path Network
      • OS Multi Modal Routing Network
        • OS Multi Modal Routing Network
      • Water Networks overview
      • OS MasterMap Highways Network and OS NGD Speeds
      • OS MasterMap® Highways Network and OS Open Roadsâ„¢
    • OS MasterMap Generation APIs
      • Using the OS Features API
      • Using the OS Features API Archive
      • Using the OS Downloads API
      • Using OS APIs in ESRI Software
    • 🆕OS NGD (National Geographic Database)
      • OS NGD Address
      • OS NGD Boundaries
      • 🆕OS NGD Buildings
        • 🆕Building and Building Access Feature Types
        • Building Part and Building Line Feature Types
      • 🆕OS NGD Geographical Names
      • OS NGD Land
      • OS NGD Land Cover enhancements
      • 🆕OS NGD Land Use
      • OS NGD Land Use enhancements
      • 🆕OS NGD Structures
        • 🆕OS NGD Structures
        • Field Boundaries
      • 🆕OS NGD Transport Features
      • 🆕OS NGD Transport Network
      • OS NGD Transport RAMI
      • OS NGD Water Features
      • OS NGD Water Network
      • OS NGD API - Features
      • Ordering OS NGD data
      • Change only updates
      • OS NGD Versioning
      • Creating a topographic map from OS NGD Data
      • Analytical styling for OS NGD data
    • OS MasterMap® demonstrators
    • 🆕Product & API Comparisons
      • 🆕Comparison of Water Network Products
  • Tutorials
    • GeoDataViz
      • Thematic Mapping Techniques
      • Downloading and using data from the OS Data Hub
      • How to download and use OS stylesheets
      • How to use the OS Maps API
      • Creating a bespoke style in Maputnik
    • GIS
      • Analysing pavement widths
      • Basic routing with OS Open Data and QGIS
      • Walktime analysis using OS Multi-modal Routing Network and QGIS
      • Creating 3D Symbols for GIS Applications
      • Constructing a Single Line Address using a Geographic Address
      • Creating a Digital Terrain Model (DTM)
      • Visualising a road gradient using a Digital Terrain Model
      • Visualising a road gradient using OSMM Highways
    • 🆕APIs
      • 🆕Using OS APIs with EPC API
      • 🆕OS APIs and ArcGIS
  • Deep Dive
    • Introduction to address matching
    • Guide to routing for the Public Sector
      • Part 1: Guide to routing
      • Part 2: Routing software and data options
      • Part 3: Building a routable network
    • Unlocking the Power of Geospatial Data
    • Using Blender for Geospatial Projects
    • A Guide to Coordinate Systems in Great Britain
      • Myths about coordinate systems
      • The shape of the Earth
      • What is position?
        • Types of coordinates
        • We need a datum
        • Position summary
      • Modern GNSS coordinate systems
        • Realising WGS84 with a TRF
        • The WGS84 broadcast TRF
        • The International Terrestrial Reference Frame (ITRF)
        • The International GNSS Service (IGS)
        • European Terrestrial Reference System 1989 (ETRS89)
      • Ordnance Survey coordinate systems
        • ETRS89 realised through OS Net
        • National Grid and the OSGB36 TRF
        • Ordnance Datum Newlyn
        • The future of British mapping coordinate systems
        • The future of British mapping coordinate systems
      • From one coordinate system to another: geodetic transformations
        • What is a geodetic transformation?
        • Helmert datum transformations
        • National Grid Transformation OSTN15 (ETRS89–OSGB36)
        • National Geoid Model OSGM15 (ETRS89-Orthometric height)
        • ETRS89 to and from ITRS
        • Approximate WGS84 to OSGB36/ODN transformation
        • Transformation between OS Net v2001 and v2009 realisations
      • Transverse Mercator map projections
        • The National Grid reference convention
      • Datum, ellipsoid and projection information
      • Converting between 3D Cartesian and ellipsoidal latitude, longitude and height coordinates
      • Converting between grid eastings and northings and ellipsoidal latitude and longitude
      • Helmert transformation worked example
      • Further information
  • Code
    • Ordnance Survey APIs
    • Mapping
    • Routing with pgRouting
      • Getting started with OS MasterMap Highways and pgRouting
      • Getting started with OS MasterMap Highways Network - Paths and pgRouting
      • Getting started with OS NGD Transport Theme and pgRouting
      • Getting started with OS NGD Transport Path features and pgRouting
  • RESOURCES
    • 🆕Data Visualisation External Resources
Powered by GitBook

Website

  • Ordnance Survey

Data

  • OS Data Hub
On this page
  • What layers form Land Cover enhancements?
  • What formats does the Land Cover enhancements data come in?
  • Data Enhancements
  • Land Cover enhancement
  • Percentage Land Cover
  • Attributes across the Land Cover enhancement layers

Was this helpful?

  1. Demonstrators
  2. OS NGD (National Geographic Database)

OS NGD Land Cover enhancements

A Lightning Talk

PreviousOS NGD LandNextOS NGD Land Use

Last updated 8 months ago

Was this helpful?

What layers form Land Cover enhancements?

click the above images to enlarge them

What formats does the Land Cover enhancements data come in?

The Land Cover enhancements in OS NGD come in the form of cross reference files for the five feature types that are part of the release. The data comes in two formats, CSV and GeoPackage (GPKG).

  • The GeoPackage format comes ready to load into the GIS package of the users choice with different gpkg files for each layer.

  • The CSV format is more suited for loading into a database. It has all of the same layers in csv format and all the same attribution as the GeoPackage.

Data Enhancements

Land Cover information has been updated for Land, Road, Track or Path, Rail, Water and Structures Feature Types across OS NGD

These enhancements are supplied in a new cross-reference table that links to the Feature Types via the osid

The OS Land Cover classification has been mapped to EUNIS (European Nature Information System) & UK BAP (United Kingdom Biodiversity Action Plan) Broad Habitats classification schemes where possible

A percentage cover attribute has been added to the data and derived from machine learning and aerial imagery

Prior to March 2024 the following had also been achieved

  • Improved consistency and accuracy to topographic area features in OS MasterMap Topography Layer and OS NGD

  • Reduced number of descriptive terms per polygon.

  • New minimum capture size specification for Rural and Moorland areas:

    Minimum area = 0.1 hectares (1,000m2)

    Minimum width = 5 metres

Land Cover enhancement

From March 2024 a series of habitat reference files are being made available for the OS NGD Feature Types containing Land Cover information:

  • Land_habcoverref

  • Structure_habcoverref

  • Roadtrackorpath_habcoverref

  • Rail_habcoverref

  • Water_habcoverref

These link via the osid from the feature type polygons to OS Land Cover Tier B, EUNIS and UKBAP classifications in a one-to-many relationship. In the case here one osid has six lines in the reference file, one for each classification.

These cross-reference files come down by default when a customer orders any of the five feature types.

EUNIS is a tiered classification with Levels 1 and 2 allowing for customisable granularity from supergroups to individual species.

UK BAP is a mono-level categorisation scheme designed to put habitat types into groups based on their requirements and habitat formation.

In instances where there is no direct mapping between OS Land Cover Tier B classification and EUNIS Level 2 or UK BAP no percentage value is available

You can convert to UK HAB through the UK BAP classification scheme.

Percentage Land Cover

Each OS Land Cover Tier B value on the polygon (in this case Boulders, Mud, Shingle) is assigned a percentage value in the cross-reference table linked by the osid

The EUNIS and UK BAP Broad Habitat attributes are also given individual entries in the cross-reference table

Defined land cover classifications generally start at 10% and go up to 100%.

Where it has not been possible to match the machine learning classification to the classification of the topographic polygon, an 'Other' classification is added to the xref table to allow percentages to add up to 100% for a single polygon. (see Other at 30% in the image here). ‘Other’ classes can be as low as 5%

Only features above the Mean High Water line are given a percentage value

Percentages can be ‘null’ where a geometry or attribute change has occurred to the polygon area. These will be recalculated when the machine learning classification is next run.

Attributes across the Land Cover enhancement layers

The five habcovref files all have the same attribution:

  • osid

  • scheme

  • habitat code

  • habitat description

  • percentage

  • percentage evidence date

  • percentage update date

  • feature type version date


Links that may be useful:

This content has been developed from what was originally a Lightning Talk PowerPoint slide set. These slides are available to PSGA members to view and download from the

PSGA members area of the OS website
🆕
OS NGD Documentation Platform | osngd
Logo
OS Data HubOrdnanceSurvey
Logo
OS Select+Build | OS productsOrdnance Survey
Land
Structures
Road, Tracks or Paths
Rail
Water
Table showing the different classifications for a single osid area
Image showing the four OS Land Cover Tier B percentages in the Land_habcovref file for the osid highlighted
Page cover image
Logo