Identification

Title

Land Cover Map 2017 (20m classified pixels, N. Ireland)

Abstract

This is the 20m classified pixels dataset for the UKCEH Land Cover Map of 2017 (LCM2017) representing Northern Ireland. It describes Northern Ireland's land cover in 2017 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset is the Random Forest classification result from classifying a 20m pixel raster containing multi-season spectral information combined with context layers, which help to resolve spectral confusion. It is provided as a 2-band, 8-bit integer raster. The band-1 is the UKCEH Land Cover Class identifier, band-2 is an indicator of classification confidence. For a fuller description please refer to the product documentation. 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/f6b551ea-e079-4150-b13c-b5f89f5dbaa6

Resource type

dataset

Resource locator

https://order-eidc.ceh.ac.uk/resources/69PZBXB2/order

name: Download the data

description: Order a copy of this data

function: order

https://data-package.ceh.ac.uk/sd/f6b551ea-e079-4150-b13c-b5f89f5dbaa6.zip

name: Supporting information

description: Supporting information available to assist in re-use of this dataset

function: information

Unique resource identifier

code

https://catalogue.ceh.ac.uk/id/f6b551ea-e079-4150-b13c-b5f89f5dbaa6

codeSpace

doi:

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

TM75 / Irish Grid

Classification of spatial data and services

Topic category

environment

imageryBaseMapsEarthCover

Keywords

Keyword set

keyword value

Land Cover

originating controlled vocabulary

title

GEMET - INSPIRE themes, version 1.0

reference date

date type

publication

effective date

2008-06-01

Keyword set

keyword value

UK-SCAPE

Geographic location

West bounding longitude

-8.178

East bounding longitude

-5.432

North bounding latitude

55.313

South bounding latitude

54.022

Temporal reference

Temporal extent

Begin position

2017-01-01

End position

2017-12-31

Dataset reference date

date type

publication

effective date

2020-06-22

Frequency of update

Quality and validity

Lineage

The 20m Classified Pixels datasets are the most spatially detailed in LCM2017, LCM2018 and LCM2019 product range. All other datasets were derived from these. They give land cover information in 21 classes based on UK Biodiversity Action Plan broad habitats. They result from automatic Random Forest classifications of partially overlapping, rectangular classification scenes and are given as 8-bit, 2-band integer 20m pixel rasters. Band-1 is the most likely land cover class, band-2 is the classification probability associated with this class, rescaled over the interval 0 to 100. Classification scenes comprised per-season Sentinel-2 median top of atmosphere reflectance values resampled to 20m pixel resolution, derived using the Google Earth Engine, combined with regional context layers (for example: terrain, coastal proximity). Overlapping classification results were visually ranked to determine precedence. The best classifications were compiled to form seamless national products for Great Britain and Northern Ireland. Classification used bespoke software integrated with a PostGis spatial database. The 20m rasters were exported from PostGIS using open source gdal tools to give the final product in GeoTiff format. GeoTiff is open standard format for raster data and GeoTiff files can be read by most GIS software.

Conformity

Conformity report

specification

title

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services

reference date

date type

publication

effective date

2010-12-08

degree

explanation

Data format

name of format

TIFF

version of format

Constraints related to access and use

Constraint set

Limitations on public access

Constraint set

Limitations on public access

Constraint set

Limitations on public access

© UK Centre for Ecology & Hydrology

Constraint set

Limitations on public access

If you reuse this data, you should cite: Morton, R.D., Marston, C.G., O'Neill, A.W., Rowland, C.S. (2020). Land Cover Map 2017 (20m classified pixels, N. Ireland). NERC Environmental Information Data Centre https://doi.org/10.5285/f6b551ea-e079-4150-b13c-b5f89f5dbaa6

Responsible organisations

Responsible party

organisation name

UK Centre for Ecology & Hydrology

email address

enquiries@ceh.ac.uk

responsible party role

author

Responsible party

organisation name

UK Centre for Ecology & Hydrology

email address

enquiries@ceh.ac.uk

responsible party role

author

Responsible party

organisation name

UK Centre for Ecology & Hydrology

email address

enquiries@ceh.ac.uk

responsible party role

author

Responsible party

organisation name

UK Centre for Ecology & Hydrology

email address

enquiries@ceh.ac.uk

responsible party role

author

Responsible party

organisation name

NERC EDS Environmental Information Data Centre

email address

info@eidc.ac.uk

responsible party role

custodian

Responsible party

organisation name

NERC Environmental Information Data Centre

email address

info@eidc.ac.uk

responsible party role

publisher

Responsible party

organisation name

UK Centre for Ecology & Hydrology

email address

enquiries@ceh.ac.uk

responsible party role

pointOfContact

Responsible party

organisation name

UK Centre for Ecology & Hydrology

email address

enquiries@ceh.ac.uk

responsible party role

owner

Metadata on metadata

Metadata point of contact

organisation name

Environmental Information Data Centre

full postal address

Lancaster Environment Centre, Library Avenue, Bailrigg

Lancaster

LA1 4AP

UK

email address

info@eidc.ac.uk

responsible party role

pointOfContact

Metadata date

2021-10-08T12:00:19

Metadata language

eng