The following map files are included with this delivery:
	- HLCM_2024_EUNIS_LEVEL1.tif
	- HLCM_2024_EUNIS_LEVEL2.tif
	- HLCM_2022_2024_CHANGE.tif
	- HLCM_2024_EUNIS_LEVEL2_V2.tif

Each is a single-band cloud-optimised GeoTiff (COG) with the following specifications:
	- Width: 90,000
	- Height: 90,000
	- Origin: -8,100,000; 3,600,000
	- Data type: Byte - Eight bit unsigned integer
	- Pixel size: 10m
	- CRS: EPSG:27700
	- NoData value: 0

The LEVEL 1 land cover files have the following valid pixel values:
 	- 0: NO DATA
	- 1: P
 	- 2: Q
 	- 3: R
 	- 4: S
 	- 5: T
 	- 6: U
 	- 7: V
 	- 8: J
 	- 9: O
 	- 10: M
 	- 11: N 

The LEVEL 2 land cover files have the following valid pixel values:
 	- 0: NO DATA
	- 1: P
 	- 2: Q1
 	- 3: Q2
 	- 4: Q4
 	- 5: R1
 	- 6: R2
 	- 7: R3
 	- 8: R4
 	- 9: R5
 	- 10: S2
 	- 11: S3
 	- 12: S4
	- 13: S9
	- 14: T1
	- 15: T3M
	- 16: T3N
	- 17: T351
	- 18: T4
	- 19: U2
	- 20: U3
	- 21: V1
	- 22: J
	- 23: NOT USED
	- 24: OW
	- 25: MA4
	- 26: N1
	- 27: N2
	- 28: N3
	- 29: V15
 	
The change files have the following valid pixel values:
 	- 0: NO DATA
	- 1: Stable Forest
 	- 2: Stable Non-Forest
 	- 3: Non-Plantation Forest Loss
 	- 4: Plantation Clearance
	- 5: New Forest
	- 6: New Urban
	- 7: Agricultural Change
	- 8: New Windthrow
	- 9: Windthrow Clearance
 
QGIS-compatible .qml style files are provided for both landcover and change maps.

Metadata Form:

Title: Scotland Habitat and Land Cover Map - 2024

Abstract:
Habitat and land cover map created using machine learning (ML) to classify satellite data to EUNIS level 2 by Space Intelligence in partnership with NatureScot. This dataset contains the EUNIS classification level 2 of Scotland's land cover for the year 2024. It is part of a time series of 20m resolution raster layers, the others being from 2019, 2020, and 2022. The 2024 layer is at a 10m resolution. Other layers provide EUNIS level 1 classifications and the land cover changes that occurred between 2022 and 2024. 

Lineage:
Training data were collected through using a combination of the following sources: 
Habitat Map of Scotland (ground polygons)
20xx National Forest Inventory
Ordnance Survey
High resolution imagery
In all cases the ground data were not used naively: we used a careful combination of at least two data sources to create each polygon, and checking against recent high resolution imagery to ensure each polygon was ‘pure’ (i.e. included only one class) and up to date (for example, if it was a forest polygon, the trees had not been cleared since the data were collected). 
Satellite remote sensing datasets used for mapping were: 
Optical: Landsat-8/9 and Sentinel-2 (HLS) (01/03/24-30/11/24) 
Synthetic Aperture Radar (SAR) Sentinel-1, descending and ascending (01/03/24-30/11/24) ALOS-PALSAR 2 (01/01/24-31/12/24)
Topographic: Copernicus GLO-30 Digital Elevation Model (01/01/11-07/01/15). 
A complex set of machine learning algorithms were used to produce a raw prediction, and via a set of post-processing algorithms a final prediction of a class for each pixel. Through the project duration the sophistication of the models used increased, increasing accuracy and efficiency. For commercial reasons the details of the final algorithms used will not be revealed here.

Keywords:
Land cover, habitat, EUNIS

Dates:
Creation: 10/04/2026
Last revision: 10/04/2026

Copyright statement, licence requirements. (Are these derived data? Include name, copyrights and license of source data):
Available under the Open Government Licence v3.0 http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
Maps and data created by Space Intelligence with input and support from NatureScot , © NatureScot (Scottish Natural Heritage)

Point(s) of contact (organisation, email, telephone, address)
Lynsey Thomson – NatureScot – lynsey.thomson@nature.scot
Dr Euan Mitchell - Space Intelligence – euan@space-intelligence.com
Dr Paula Nieto Quintano - Space Intelligence - paula@space-inteelligence.com 

Data custodian(s) (organisation, email, telephone, address)
Data custodian: Lynsey Thomson – NatureScot – lynsey.thomson@nature.scot 



