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Jeffrey Neal

University of Bristol

SCHOLARLY PAPERS

6

DOWNLOADS

411

TOTAL CITATIONS

0

Scholarly Papers (6)

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1.

Population Exposure to Amphan-Scale Cyclones Under Future Climates

Number of pages: 26 Posted: 26 Oct 2020
Dann Mitchell, Laurence Hawker, James Savage, Rory Bingham, Natalie Lord, Md Jamal Uddin Khan, Paul Bates, Fabien Durand, Ahmadul Hassan, Saleemul Huq, Akm Saiful Islam, Yann Krien, Jeffrey Neal, Chris Sampson and Andy Smith
University of Bristol - Cabot Institute for the Environment, University of Bristol - Cabot Institute for the Environment, Fathom, University of Bristol - Cabot Institute for the Environment, University of Bristol - Cabot Institute for the Environment, LEGOS UMR5566, CNRS/CNES/IRD/UPS, University of Bristol - Cabot Institute for the Environment, LEGOS UMR5566, CNRS/CNES/IRD/UPS, Red Cross Red Crescent Climate Centre (RCCC), Independent University, Bangladesh (IUB) - International Centre for Climate Change and Development, Bangladesh University of Engineering and Technology (BUET) - Institute of Water and Flood Management (IWFM), Université de la Rochelle - LIENSs UMR 7266 CNRS, University of Bristol, Fathom and Fathom
Downloads 197 (386,064)

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flood, extreme, attribution, exposure

2.

Parameter-Efficient Fine-Tuning of the Segment Anything Model for Remotesensing Sar Flood Mapping

Number of pages: 35 Posted: 31 Jul 2025
Ziming Wang, Jeffrey Neal, Peter M. Atkinson and Ce Zhang
University of Bristol, University of Bristol, Lancaster University - Lancaster Environment Centre and University of Bristol
Downloads 62 (951,658)

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remote sensing, Flood Detection, SAR imagery, Segment Anything Model, PEFT

3.

Benchmarking Parameter-Efficient Fine-Tuning Strategies for Adapting Vision Foundation Models to SAR Flood Mapping

Number of pages: 25 Posted: 27 Dec 2025
Ziming Wang, Peter M. Atkinson, Jeffrey Neal and Ce Zhang
University of Bristol, Lancaster University - Lancaster Environment Centre, University of Bristol and University of Bristol
Downloads 51 (1,063,489)

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Flood Detection, SAR imagery, Vision foundation models, PEFT

4.

Integrating Social Narratives of Flood Events into a Text Network Analysis-Based Decision Support Framework to Reduce Vulnerability to Climate Change in Africa

Number of pages: 29 Posted: 07 Nov 2024
Thomas O'Shea, Lena Grobusch, Mary Zhang, Jeffrey Neal, Joseph Daron, Richard G. Jones, Christopher Jack, Alice McClure, Gilbert Siame, Dorothy Ndhlovu and Sukaina Bharwani
University of Salford, Ludwig Maximilian University of Munich (LMU), University of Birmingham, University of Bristol, University of Bristol, Met Office, affiliation not provided to SSRN, affiliation not provided to SSRN, Department of Geography and Environmental Studies at the University of Zambia, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 45 (1,121,190)

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Flood Resilience, Climate Change, Community-Based Narratives, Disaster Risk Management, Stakeholder Engagement.

5.

Evaluating the SWOT Mission for 3D-Flood Mapping Using Quality Flags

Downloads 38 (1,263,436)

Evaluating the SWOT Mission for 3D-Flood Mapping Using Quality Flags

Number of pages: 45 Posted: 11 Feb 2026
Ziming Wang, Jeffrey Neal, Ce Zhang and Peter M. Atkinson
University of Bristol, University of Bristol, University of Bristol and Lancaster University - Lancaster Environment Centre
Downloads 24 (1,486,852)

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SWOT, Water Surface Elevation, Quality Flag, remote sensing, Flood mapping

Evaluating the SWOT Mission for 3D-Flood Mapping Using Quality Flags

Number of pages: 44 Posted: 19 Mar 2026
Ziming Wang, Jeffrey Neal, Ce Zhang and Peter M. Atkinson
University of Bristol, University of Bristol, University of Bristol and Lancaster University - Lancaster Environment Centre
Downloads 14 (1,579,999)

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SWOT, Water Surface Elevation, Quality Flag, remote sensing, Flood mapping

6.

From Flood Extent Mapping to Mechanism-Aware Flood Products: Integrating Flood Type Classification into Satellite-Based Flood Monitoring​

Number of pages: 21 Posted: 10 Mar 2026
Ziming Wang, Jeffrey Neal, Peter M. Atkinson and Ce Zhang
University of Bristol, University of Bristol, Lancaster University - Lancaster Environment Centre and University of Bristol
Downloads 18 (1,481,165)

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Flood type, Flood mapping, Deep learning, CNN, Remote sensing, Flood risk management