Hedgerows: Mapping The Gaps. Phase 2 Final Report

Wolstenholme, Josh; Townsend, Elizabeth; Nolan, Joseph; Ahmed, Josh; Parsons, Katie; Davidson, Giles; Thomas, Robert; Parsons, Daniel

Abstract

From Introduction:
This report aims to improve upon previous work of Wolstenholme et al. (2021). Artificial intelligence and computer vision was utilised to automatically identify hedgerows from high-resolution aerial imagery across the East Riding of Yorkshire local authority district. Through
leveraging existing datasets such as the Ordnance Survey MasterMap Topography layer (Ordnance Survey, 2017), which represents unique topographic features in Great Britain, hedgerow gaps were extracted from the hedgerow identification dataset. The work estimated that there were 18,450 ±3,300 km of hedgerow and 8,060 ±1,450 km of hedgerow gap in the region with an approximate error of 18%. This report aims to reduce the error associated with this, as well as enrich the hedgerow data with additional information

Citation

Wolstenholme, J., Townsend, E., Nolan, J., Ahmed, J., Parsons, K., Davidson, G., Thomas, R., & Parsons, D. (2025). Hedgerows: Mapping The Gaps. Phase 2 Final Report. Natural England

• Report Type: Research Report
• Online Publication Date: Jun 19, 2025
• Publication Date: 2025
• Deposit Date: Apr 4, 2023
• Publicly Available Date: Jun 19, 2025
• Publisher: University of Hull
• Pages: 19
• Public URL: https://hull-repository.worktribe.com/output/4255343