Outputs (8)

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.

Behaviours of pyroclastic and analogue materials, in dry and wet environments, for use in experimental modelling of pyroclastic density currents (2025)
Journal Article
Walding, N., Williams, R., Rowley, P., Dowey, N., Parsons, D., & Bird, A. (2025). Behaviours of pyroclastic and analogue materials, in dry and wet environments, for use in experimental modelling of pyroclastic density currents. Volcanica, 8(1), 261-285. https://doi.org/10.30909/vol/oxkm9163

Modelling pyroclastic density currents (PDCs) is a challenging yet essential element of hazard assessment. PDCs are unpredictable and internal processes are often difficult to measure directly. Analogue experiments have been an important tool for inv... Read More about Behaviours of pyroclastic and analogue materials, in dry and wet environments, for use in experimental modelling of pyroclastic density currents.

Global River Topology (GRIT): A Bifurcating River Hydrography (2025)
Journal Article
Wortmann, M., Slater, L., Hawker, L., Liu, Y., Neal, J., Zhang, B., Schwenk, J., Allen, G., Ashworth, P., Boothroyd, R., Cloke, H., Delorme, P., Gebrechorkos, S. H., Griffith, H., Leyland, J., McLelland, S., Nicholas, A. P., Sambrook-Smith, G., Vahidi, E., Parsons, D., & Darby, S. E. (2025). Global River Topology (GRIT): A Bifurcating River Hydrography. Water Resources Research, 61(5), Article e2024WR038308. https://doi.org/10.1029/2024WR038308

Existing global river networks underpin a wide range of hydrological applications but do not represent channels with divergent river flows (bifurcations, multi-threaded channels, canals), as these features defy the convergent flow assumption that ele... Read More about Global River Topology (GRIT): A Bifurcating River Hydrography.

The influence of moisture on ash strength: implications for understanding volcanic stratigraphy (2025)
Journal Article
Walding, N., Williams, R., Dowey, N., Rowley, P., Thomas, M., Osman, S., Johnson, M., & Parsons, D. R. (2025). The influence of moisture on ash strength: implications for understanding volcanic stratigraphy. Bulletin of volcanology, 87(6), Article 39. https://doi.org/10.1007/s00445-025-01821-4

Ash layers within extensive pyroclastic density current (PDC) deposits can be important in understanding the evolution of explosive eruptions. If interpreted as ashfall deposits, they may be used to identify hiatus episodes and determine how many pyr... Read More about The influence of moisture on ash strength: implications for understanding volcanic stratigraphy.

The role of virtual field trips in Geography higher education: A perspective paper (2025)
Journal Article
Hurrell, E. R., Hutchinson, S. M., Yorke, L., Batty, L. C., Bunting, M. J., Swanton, D., McDougall, D. A., & Parsons, D. R. (in press). The role of virtual field trips in Geography higher education: A perspective paper. Area, Article e70011. https://doi.org/10.1111/area.70011

In this perspective paper, we explore the role virtual field trips (VFTs) may play in creating a more resilient, sustainable and equitable field education for Geography students in higher education as we move away from the pandemic but into a financi... Read More about The role of virtual field trips in Geography higher education: A perspective paper.

Tsunami Risk to UK Offshore Wind: Paleo-evidence and numerical model simulation (2025)
Thesis
Pickett, B. (2025). Tsunami Risk to UK Offshore Wind: Paleo-evidence and numerical model simulation. (Thesis). University of Hull. https://hull-repository.worktribe.com/output/5126372

The UK produces over 45% of its energy through renewable means, the majority of this through wind power. The mainstay of this capacity is located offshore in the North Sea, a region and capacity which is set to significantly expand in the coming year... Read More about Tsunami Risk to UK Offshore Wind: Paleo-evidence and numerical model simulation.

Hydro-geomorphological modelling of leaky wooden dam efficacy from reach to catchment scale with CAESAR-Lisflood 1.9j (2025)
Journal Article
Wolstenholme, J. M., Skinner, C. J., Milan, D., Thomas, R. E., & Parsons, D. R. (2025). Hydro-geomorphological modelling of leaky wooden dam efficacy from reach to catchment scale with CAESAR-Lisflood 1.9j. Geoscientific Model Development, 18(5), 1395-1411. https://doi.org/10.5194/gmd-18-1395-2025

Leaky wooden dams (LDs) are woody structures installed in headwater streams that aim to reduce downstream flood risk through increasing in-channel roughness and decreasing river longitudinal connectivity in order to desynchronise flood peaks within c... Read More about Hydro-geomorphological modelling of leaky wooden dam efficacy from reach to catchment scale with CAESAR-Lisflood 1.9j.

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.