Skip to main navigation
Skip to search
Skip to main content
University of Edinburgh Research Explorer Home
Help & FAQ
Home
Research output
Profiles
Research units
Projects
Datasets
Prizes
Activities
Press/Media
Equipment
Search by expertise, name or affiliation
Sounding out the river: a new system for monitoring bedload mobilisation and transport
Naylor, Mark
(Principal Investigator)
Sinclair, Hugh
(Co-investigator)
School of Geosciences
Overview
Fingerprint
Research output
(2)
Project Details
Status
Finished
Effective start/end date
14/02/20
→
31/08/22
Funding
NERC:
£272,098.00
View all
View less
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Fluvial Environment
Earth and Planetary Sciences
100%
Vehicle
Earth and Planetary Sciences
100%
Underwater Acoustics
Earth and Planetary Sciences
100%
Bedload
Earth and Planetary Sciences
100%
Solid State
Earth and Planetary Sciences
55%
Digital Elevation Model
Earth and Planetary Sciences
44%
Photogrammetry
Earth and Planetary Sciences
33%
Vegetation
Earth and Planetary Sciences
22%
Research output
Research output per year
2023
2023
2024
2024
2
Article
Research output per year
Research output per year
Sounding out the river: Seismic and hydroacoustic monitoring of bedload transport
Matthews, B.
,
Naylor, M.
,
Sinclair, H.
,
Black, A.
,
Williams, R.
,
Cuthill, C.
,
Gervais, M.
,
Dietze, M.
&
Smith, A.
,
30 Sept 2024
,
In:
Earth Surface Processes and Landforms.
49
,
12
,
p. 3840-3854
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Underwater Acoustics
100%
Bedload
100%
Seismic Data
16%
Land Use
8%
Consumer‐grade UAV solid‐state LiDAR accurately quantifies topography in a vegetated fluvial environment
Macdonell, C. J.
,
Williams, R. D.
,
Maniatis, G.
,
Roberts, K.
&
Naylor, M.
,
15 Sept 2023
,
In:
Earth Surface Processes and Landforms.
48
,
11
,
p. 2211-2229
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Vehicle
100%
Fluvial Environment
100%
Solid State
55%
Digital Elevation Model
44%
Photogrammetry
33%