Training data were collected through using a combination of the following sources: • Habitat Map of Scotland (ground polygons) • 2022 National Forest Inventory • Ordnance Survey • High resolution imagery In all cases the ground data were not used naively: a careful combination of at least two data sources were used 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 Sentinel 2 (S2), Synthetic Aperture Radar (SAR) Sentinel-1, descending and ascending ALOS-PALSAR 2. A complex set of machine learning algorithms were used to produce a Prediction Model, and ultimately a 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. Further information about the data lineage is provided in the accompanying report: 2022 Scotland Land Cover Revised Map - Report (https://naturescot.nexus.objective.co.uk/documents/A4119483/details)