Land Cover Map 2023 (land parcels, N. Ireland)
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Identification info
- Metadata Language
- English (en)
- Character set
- utf8
- Dataset Reference Date ()
- 2024-05-20
- Identifier
- doi: / 10.5285/0ff4958d-47bc-4260-9aaf-399de3b83b6f
- Other citation details
- Morton, R.D., Marston, C.G., O'Neil, A.W., Rowland, C.S. (2024). Land Cover Map 2023 (land parcels, N. Ireland). NERC EDS Environmental Information Data Centre 10.5285/0ff4958d-47bc-4260-9aaf-399de3b83b6f
- GEMET - INSPIRE themes, version 1.0 ()
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- Land Cover
- Limitations on Public Access
- otherRestrictions
- Other constraints
- Controlled
- Use constraints
- otherRestrictions
- Other constraints
- Bespoke licensing conditions apply to these data. If you choose to download the data, the UKCEH Data Licensing team will contact you to negotiate a licence.
- Use constraints
- otherRestrictions
- Other constraints
- If you reuse this data, you should cite: Morton, R.D., Marston, C.G., O'Neil, A.W., Rowland, C.S. (2024). Land Cover Map 2023 (land parcels, N. Ireland). NERC EDS Environmental Information Data Centre https://doi.org/10.5285/0ff4958d-47bc-4260-9aaf-399de3b83b6f
- Spatial representation type
- vector
- Distance
- 10 urn:ogc:def:uom:EPSG::9001
- Topic category
-
- Environment
- Imagery base maps earth cover
![](https://data-search.nerc.ac.uk/geonetwork/srv/api/regions/geom.png?geomsrs=EPSG:4326&geom=POLYGON((-5.432%2054.022,-5.432%2055.313,-8.178%2055.313,-8.178%2054.022,-5.432%2054.022)))
- Begin date
- 2023-01-01
- End date
- 2023-12-31
Distribution Information
- Data format
-
-
SpatiaLite
()
-
SpatiaLite
()
- Resource Locator
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Download the data
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- Resource Locator
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Supporting information
Supporting information available to assist in re-use of this dataset
- Resource Locator
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Download a copy of this data
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Supporting information
Supporting information available to assist in re-use of this dataset
- Quality Scope
- dataset
- Other
- dataset
Report
- Dataset Reference Date ()
- 2010-12-08
- Statement
- UKCEH's automated land cover algorithms classify 10 m pixels across the whole of UK. Training data were automatically selected from stable land covers over the interval of 2020 to 2022. A Random Forest classifier used these to classify four composite images representing per season median surface reflectance. Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra. Land cover was validated by organising the 10 m pixel classification into a land parcel framework (the LCM2023 classified land parcels product). The classified land parcels were compared to known land cover producing a confusion matrix to determine overall and per class accuracy. Details are available from the product documentation. The 25 m rasterised land parcels product is created by pixelating the corresponding land parcel product.
Metadata
- File identifier
- 0ff4958d-47bc-4260-9aaf-399de3b83b6f XML
- Metadata Language
- English (en)
- Character set
- ISO/IEC 8859-1 (also known as Latin 1)
- Resource type
- dataset
- Hierarchy level name
- dataset
- Metadata Date
- 2024-07-04T11:09:36
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3