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The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

Deep Learning for Automated Trash Screen Blockage Detection Using Cameras: Actionable Information for Flood Risk Management

Lookup NU author(s): Dr Varun OjhaORCiD

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Licence

This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Publication metadata

Author(s): Vandaele R, Dance S, Ojha V

Publication type: Article

Publication status: Published

Journal: Journal of Hydroinformatics

Year: 2024

Volume: 26

Issue: 4

Pages: 889-903

Online publication date: 01/04/2024

Acceptance date: 22/03/2024

Date deposited: 18/04/2024

ISSN (print): 1464-7141

ISSN (electronic): 1465-1734

Publisher: IWA Publishing

URL: https://doi.org/10.2166/hydro.2024.013

DOI: 10.2166/hydro.2024.013

Data Access Statement: All relevant data are available from an online repository or repositories.


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Funding

Funder referenceFunder name
the Flood and Coastal Resilience Innovation Programme (FCRIP) and the NERC National Centre for Earth Observation (NCEO)

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