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Environmental Sciences

D-Index
52
Citations
11245
World Ranking
4441
National Ranking
341

Overview

Guy Schumann is affiliated with the University of Bristol in the United Kingdom. Their research primarily focuses on environmental science and earth and planetary sciences, with notable specialization in global and planetary change, atmospheric science, water science and technology, environmental engineering, and aerospace engineering.

The scientist's main research topics include flood risk assessment and management, hydrology and watershed management studies, tropical and extratropical cyclones research, precipitation measurement and analysis, hydrology and drought analysis, hydrological forecasting using artificial intelligence, and remote sensing and LiDAR applications.

Guy Schumann has contributed to various publications, with works appearing frequently in prominent venues such as Water Resources Research, Geophysical Monograph, Zenodo (CERN European Organization for Nuclear Research), Scientific Reports, and Surveys in Geophysics.

Some recent papers authored or co-authored by Guy Schumann include:

  • Flood Modeling and Prediction Using Earth Observation Data, 2022, Surveys in Geophysics
  • Combined Modeling of US Fluvial, Pluvial, and Coastal Flood Hazard Under Current and Future Climates, 2020, Water Resources Research
  • Towards global flood mapping onboard low cost satellites with machine learning, 2021, Scientific Reports
  • An Overview of Flood Concepts, Challenges, and Future Directions, 2022, Journal of Hydrologic Engineering
  • Application of a Novel Hybrid Wavelet-ANFIS/Fuzzy C-Means Clustering Model to Predict Groundwater Fluctuations, 2020, Atmosphere

Frequent collaborators in Guy Schumann's research include G. Robert Brakenridge, Cédric H. David, Matthew Bonnema, Albert J. Kettner, and Dinuke Munasinghe. These co-authors have contributed to multiple projects, reflecting ongoing partnerships within the field of hydrology and environmental monitoring.

Best Publications

  • A subgrid channel model for simulating river hydraulics and floodplain inundation over large and data sparse areas

    Jeffrey C. Neal;Guy Schumann;Guy Schumann;Paul D. Bates

  • A Change Detection Approach to Flood Mapping in Urban Areas Using TerraSAR-X

    L. Giustarini;R. Hostache;P. Matgen;Guy J.-P Schumann

  • Towards an automated SAR-based flood monitoring system: Lessons learned from two case studies

    P. Matgen;R. Hostache;G. Schumann;L. Pfister

  • Progress in integration of remote sensing– derived flood extent and stage data and hydraulic models

    Guy Schumann;Paul D. Bates;Matthew S. Horritt;Patrick Matgen

  • Combined Modeling of US Fluvial, Pluvial, and Coastal Flood Hazard Under Current and Future Climates

    Paul D. Bates;Niall Quinn;Christopher Sampson;Andrew Smith

  • Flood Detection in Urban Areas Using TerraSAR-X

    D.C. Mason;R. Speck;B. Devereux;G.J.-P. Schumann

  • Flood-plain mapping: a critical discussion of deterministic and probabilistic approaches

    Giuliano Di Baldassarre;Guy Schumann;Paul D. Bates;Jim E. Freer

  • Integration of SAR-derived river inundation areas, high-precision topographic data and a river flow model toward near real-time flood management

    Patrick Matgen;Guy J.-P. Schumann;Jean-Baptiste Henry;Lucien Hoffmann

  • A simple global river bankfull width and depth database

    Konstantinos M. Andreadis;Guy J P Schumann;Tamlin Muir Pavelsky

  • Comparison of remotely sensed water stages from LiDAR, topographic contours and SRTM

    G. Schumann;P. Matgen;M.E.J. Cutler;A. Black

  • An intercomparison of remote sensing river discharge estimation algorithms from measurements of river height, width, and slope

    M. Durand;C. J. Gleason;P. A. Garambois;D. Bjerklie

  • Near Real-Time Flood Detection in Urban and Rural Areas Using High-Resolution Synthetic Aperture Radar Images

    D. C. Mason;I. J. Davenport;J. C. Neal;G. J-P Schumann

  • A first large-scale flood inundation forecasting model

    G. J.-P. Schumann;Jeff Neal;N. Voisin;K. M. Andreadis

  • A technique for the calibration of hydraulic models using uncertain satellite observations of flood extent

    Giuliano Di Baldassarre;Guy Schumann;Paul D. Bates

  • High-Resolution 3-D Flood Information From Radar Imagery for Flood Hazard Management

    G. Schumann;R. Hostache;C. Puech;L. Hoffmann

  • Microwave remote sensing of flood inundation

    Guy J.-P. Schumann;Delwyn K. Moller

  • The Utility of Spaceborne Radar to Render Flood Inundation Maps Based on Multialgorithm Ensembles

    G. Schumann;G. Di Baldassarre;P.D. Bates

  • Evaluating a new LISFLOOD‐FP formulation with data from the summer 2007 floods in Tewkesbury, UK

    Jeff Neal;Gj-P Schumann;TJ Fewtrell;M Budimir

  • Towards global flood mapping onboard low cost satellites with machine learning.

    Gonzalo Mateo-Garcia;Joshua Veitch-Michaelis;Lewis Smith;Silviu Vlad Oprea

  • A data assimilation approach to discharge estimation from space

    Jeffrey Neal;Guy Schumann;Paul Bates;Wouter Buytaert

  • Deriving distributed roughness values from satellite radar data for flood inundation modelling

    G. Schumann;P. Matgen;L. Hoffmann;R. Hostache

Frequent Co-Authors

Paul D Bates
Paul D Bates University of Bristol
Patrick Matgen
Patrick Matgen Luxembourg Institute of Science and Technology
Jeffrey C. Neal
Jeffrey C. Neal University of Bristol
Albert J. Kettner
Albert J. Kettner University of Colorado Boulder
Florian Pappenberger
Florian Pappenberger European Centre for Medium-Range Weather Forecasts
Laurent Pfister
Laurent Pfister Luxembourg Institute of Science and Technology
Giuliano Di Baldassarre
Giuliano Di Baldassarre Uppsala University
Lucien Hoffmann
Lucien Hoffmann Luxembourg Institute of Science and Technology
Tamlin M. Pavelsky
Tamlin M. Pavelsky University of North Carolina at Chapel Hill
David C. Mason
David C. Mason University of Reading

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