Skip to main content

Please send feedback to Peter Kappus.

Mapping Ancient Woodland Image Segmentation Model

Benefits

This tool can be used to fill in the gaps where Woodland was depicted on OS Historic Landmark maps but no longer exists in modern maps. This will enable researchers and conservationists to measure the change in Woodland coverage over time in different areas to target measures to prevent woodland loss in the future, as well as supporting re-planatation schemes and maximise the chance of new areas of trees becoming "long established" woodland. To manually create this dataset would be time consuming and susceptible to human error and inconsistency. This tool is a faster, more robust method to map Ancient Woodland and can be used as a proof of concept to use deep learning for other land classification types using Historic Landmark data.

View source URL for details

Details

Tool name
Mapping Ancient Woodland Image Segmentation Model
Organisation
Welsh Government
Status
pilot
AI method (as recorded)
Computer Vision
AI method (normalised tags)
Computer Vision
Usecase
Vision AI
Origin
wales.gov
Owning team
Data Science Unit
Date added
4 July 2025
Scrape date
Source note
AI tool for mapping ancient woodland using image segmentation, developed by Welsh Government for conservation and research. [Source]