All Outputs (2)

Hedgerows: Mapping The Gaps. Phase 2 Final Report (2025)
Report
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

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... Read More about Hedgerows: Mapping The Gaps. Phase 2 Final Report.

Automated identification of hedgerows and hedgerow gaps using deep learning Remote Sensing in Ecology and Conservation (2025)
Journal Article
Wolstenholme, J. M., Cooper, F., Thomas, R. E., Ahmed, J., Parsons, K. J., Parsons, K. J., & Parsons, D. R. (online). Automated identification of hedgerows and hedgerow gaps using deep learning Remote Sensing in Ecology and Conservation. Remote Sensing in Ecology and Conservation, https://doi.org/10.1002/rse2.432

Hedgerows are a key component of the UK landscape that form boundaries, borders and limits of land whilst providing vital landscape-scale ecological connectivity for a range of organisms. They are diverse habitats in the agricultural landscape provid... Read More about Automated identification of hedgerows and hedgerow gaps using deep learning Remote Sensing in Ecology and Conservation.