James Cooper

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Professor

University of Liverpool
Country flagUnited Kingdom

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Recent Grants

Grant: Close

Climate Resilience of EDF's Current Fleet: Impact of Flooding and Erosion from Extreme Rainfall

Open Date: 2021-11-01

Close Date: 2022-01-10

Grant: Close

Quantifying the Impact of Extreme Storms on Slope Erosion: Improving our Capacity to Forecast Erosion Hazards

Open Date: 2020-12-31

Close Date: 2022-12-30

Grant: Close

Erosion Hazards in River Catchments: Making Critical Infrastructure More Climate Resilient

Open Date: 2019-02-01

Close Date: 2020-01-31

Grant: Close

Physical and biological dynamic coastal processes and their role in coastal recovery (BLUE-coast)

Open Date: 2016-04-30

Close Date: 2020-04-29

Grant: Close

Advanced Compton-geometry gamma radiation imaging for radionuclide measurement in soils and geomaterials

Open Date: 2014-03-17

Close Date: 2015-05-31

Articles (10)

Year:

2023

Regular monitoring is essential for vulnerable coastal locations such as areas of landward retreat. However, for coastal practitioners, surveying is limited by budget, specialist personnel/equipment and weather. In combination structure-from-motion and multi-view stereo (SfM-MVS) has helped to improve accessibility to topographic data acquisition. Pole-mounted cameras with SfM-MVS have gained traction but to guarantee coverage and reconstruction quality, greater understanding of camera position and interaction is required. This study uses a multi-camera array for image acquisition and reviews processing procedures in Agisoft Photoscan (Metashape). The camera rig was deployed at three sites and results were verified against a terrestrial laser scanner (TLS) and independent precision estimates. The multi-camera approach provided effective image acquisition ~11 times faster than the TLS. Reconstruction quality equalled (>92% similarity) the TLS, subject to processing parameters. A change in the image alignment parameter demonstrated a significant influence on deformation, reducing reprojection error by~94%. A lower densification parameter (‘High’) offered results ~4.39% dissimilar from the TLS at 1/8th of the processing time of other parameters. Independent precision estimates were <8.2 mm for x, y and z dimensions. These findings illustrate the potential of multi-camera systems and the influence of processing on point cloud quality and computation time.

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2023

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2022

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2021

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2021

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2021

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2021

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2021

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2020

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2020

Collaborators (4)

Fatemeh Rezaie

University of Hawaii at Manoa

UNITED STATES
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Zahra Kalantari

Associate Professor

Royal Institute of Technology

SWEDEN
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Prasad Daggupati

Associate Professor

University of Guelph

CANADA
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Andrew J. Plater

University of Liverpool

UNITED KINGDOM
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