Prof Neil Entwistle's Outputs (4)

2D Modelling Of Sediment Dynamics In High Energy Gravel Bed Rivers And Climate Impacted Glacier Fed River Basins (2025)
Thesis

This thesis sets out a novel method of 2D sediment modelling in high energy mountain systems. A new combined methodology using lidar, drone and dGPS survey along with HEC-RAS 2D river simulation has been developed. This methodology has been validated... Read More about 2D Modelling Of Sediment Dynamics In High Energy Gravel Bed Rivers And Climate Impacted Glacier Fed River Basins.

Sediment Entrainment In Two Large Upland Gravel Bed Rivers (2023)
Thesis

The sediment dynamics of river systems are of importance from an ecological, social and engineering viewpoint and are defined by complex relationships of various variables. Numerous threshold theories (such as Bagnolds stream power equation, Hjulstro... Read More about Sediment Entrainment In Two Large Upland Gravel Bed Rivers.

Multi-Scale detection, mapping, and modelling geomorphic change in gravel-bed rivers with UAV remote sensing (2019)
Thesis
Scott, R. Multi-Scale detection, mapping, and modelling geomorphic change in gravel-bed rivers with UAV remote sensing. (Thesis). University of Salford

Fluvial science is in particular need of surveying tools which can rapidly and accurately capture topographic data. The use of low-cost, consumer grade UAV (unmanned aerial vehicle) systems and Structure from Motion (SfM) processing methods has seen... Read More about Multi-Scale detection, mapping, and modelling geomorphic change in gravel-bed rivers with UAV remote sensing.

Estimation of biophysical properties of woodland canopies using LiDAR and hyperspectral imagery (2012)
Thesis

Vegetation canopies represent the interface between the atmosphere and the biosphere
and play an important role in determining energy and mass exchange. Accurate
characterisation of vegetation canopy characteristics is therefore important to
under... Read More about Estimation of biophysical properties of woodland canopies using LiDAR and hyperspectral imagery.