Guy Schumann

ORCID: 0000-0003-0968-7198
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About
Contact & Profiles
Research Areas
  • Flood Risk Assessment and Management
  • Hydrology and Watershed Management Studies
  • Tropical and Extratropical Cyclones Research
  • Hydrology and Drought Analysis
  • Precipitation Measurement and Analysis
  • Hydrology and Sediment Transport Processes
  • Meteorological Phenomena and Simulations
  • Hydrological Forecasting Using AI
  • Remote Sensing and LiDAR Applications
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Anomaly Detection Techniques and Applications
  • Geophysics and Gravity Measurements
  • Geographic Information Systems Studies
  • Soil Moisture and Remote Sensing
  • Ocean Waves and Remote Sensing
  • Water Quality Monitoring Technologies
  • Air Quality and Health Impacts
  • Advanced Computational Techniques and Applications
  • Inhalation and Respiratory Drug Delivery
  • Planetary Science and Exploration
  • Climate variability and models
  • Remote Sensing in Agriculture
  • Underwater Acoustics Research
  • Cryospheric studies and observations
  • Computational Physics and Python Applications

University of Bristol
2016-2025

ImageCat (United States)
2022-2024

University of Colorado Boulder
2018-2023

World Food Programme
2020-2023

Remote Sensing Solutions (United States)
2015-2022

Norsk Hydro (Norway)
2021

Institute of Arctic and Alpine Research
2018-2021

Central Bank of Luxembourg
2021

Dartmouth College
2020

University of California, Los Angeles
2014-2016

This paper presents a new computationally efficient hydraulic model for simulating the spatially distributed dynamics of water surface elevation, wave speed, and inundation extent over large data sparse domains. The numerical scheme is based on an extension LISFLOOD‐FP to include subgrid‐scale representation channelized flows, which allows river channels with any width below that grid resolution be simulated. shown numerically stable scalable, before being applied 800 km reach Niger in Mali....

10.1029/2012wr012514 article EN Water Resources Research 2012-10-04

Very high resolution synthetic aperture radar (SAR) sensors represent an alternative to aerial photography for delineating floods in built-up environments where flood risk is highest. However, even with currently available SAR image resolutions of 3 m and higher, signal returns from man-made structures hamper the accurate mapping flooded areas. Enhanced processing algorithms a better exploitation archives are required facilitate use microwave remote-sensing data monitoring dynamics urban In...

10.1109/tgrs.2012.2210901 article EN IEEE Transactions on Geoscience and Remote Sensing 2012-09-07

This study reports a new and significantly enhanced analysis of US flood hazard at 30 m spatial resolution. Specific improvements include updated hydrography data, methods to determine channel depth, more rigorous frequency analysis, output downscaling property tract level, inclusion the impact local interventions in flooding system. For first time, we consider pluvial, fluvial, coastal hazards within same framework provide projections for both current (rather than historic average)...

10.1029/2020wr028673 article EN cc-by Water Resources Research 2020-12-16

The ability to monitor floods with sensors mounted on aircraft and satellites has been known for decades. Early launches of the availability aerial photography allowed investigation potential support flood monitoring from as far space. There have notable studies integrating data these instruments modeling since late 1990s. is now a consensus among space agencies strengthen that can offer. This trend stimulated more research in this area, significant progress achieved recent years fostering...

10.1029/2008rg000274 article EN public-domain Reviews of Geophysics 2009-11-11

Abstract Different methodologies for flood-plain mapping are analysed and discussed by comparing deterministic probabilistic approaches using hydrodynamic numerical solutions. In order to facilitate the critical discussion, state-of-art techniques in field of flood inundation modelling applied a specific test site (River Dee, UK). Specifically, different maps derived this site. A first map is built applying an advanced approach: use fully two-dimensional finite element model (TELEMAC-2D),...

10.1080/02626661003683389 article EN Hydrological Sciences Journal 2010-04-23

Flooding is a major hazard in both rural and urban areas worldwide, but it that the impacts are most severe. An investigation of ability high-resolution TerraSAR-X synthetic aperture radar (SAR) data to detect flooded regions described. The study uses image one-in-150-year flood near Tewkesbury, U.K., 2007, for which contemporaneous aerial photography exists validation. German Aerospace Center (DLR) SAR end-to-end simulator (SETES) was used conjunction with airborne scanning laser altimetry...

10.1109/tgrs.2009.2029236 article EN IEEE Transactions on Geoscience and Remote Sensing 2009-10-08

[1] Hydraulic and hydrologic modeling has been moving to larger spatial scales with increased resolution, such models require a global database of river widths depths facilitate accurate flow routing. geometry relationships have long history in estimating channel characteristics as function discharge. A simple near-global bankfull (along confidence intervals) was developed based on hydraulic equations the HydroSHEDS hydrography data set. The width estimates were evaluated derived from...

10.1002/wrcr.20440 article EN Water Resources Research 2013-07-29

[1] At present continental to global scale flood forecasting predicts at a point discharge, with little attention detail and accuracy of local inundation predictions. Yet, variables are interest all impacts inherently in nature. This paper proposes large-scale ensemble model that uses best available data modeling approaches scarce areas. The was built for the Lower Zambezi River demonstrate current capabilities large data-scarce regions. ECMWF forecast (ENS) were used force VIC (Variable...

10.1002/wrcr.20521 article EN Water Resources Research 2013-10-01

10.1016/j.pce.2015.05.002 article EN Physics and Chemistry of the Earth Parts A/B/C 2015-01-01

Abstract The Surface Water and Ocean Topography (SWOT) satellite mission planned for launch in 2020 will map river elevations inundated area globally rivers >100 m wide. In advance of this launch, we here evaluated the possibility estimating discharge ungauged using synthetic, daily “remote sensing” measurements derived from hydraulic models corrupted with minimal observational errors. Five algorithms were evaluated, as well median five, 19 spanning a range geomorphic conditions. Reliance...

10.1002/2015wr018434 article EN Water Resources Research 2016-05-13

Abstract Using river centerlines created with Landsat images and the Shuttle Radar Topography Mission digital elevation model, we spatially continuous maps of mean annual flow width, slope, meander wavelength, sinuosity, catchment area for all rivers wider than 90 m located between 60°N 56°S. We analyzed distributions these properties, identified their typical ranges, explored relationships planform slope. found width to be directly associated magnitude wavelength area. Moreover, that...

10.1029/2019gl082027 article EN Geophysical Research Letters 2019-03-16

Spaceborne Earth observation is a key technology for flood response, offering valuable information to decision makers on the ground. Very large constellations of small, nano satellites- 'CubeSats' are promising solution reduce revisit time in disaster areas from days hours. However, data transmission ground receivers limited by constraints power and bandwidth CubeSats. Onboard processing offers decrease amount transmit reducing sensor images smaller products. The ESA's recent PhiSat-1...

10.1038/s41598-021-86650-z article EN cc-by Scientific Reports 2021-03-31

This review provides a broad overview of the current state flood research, challenges, and future directions. Beginning with discussion flood-generating mechanisms, synthesizes literature on forecasting, multivariate nonstationary frequency analysis, urban flooding, remote sensing floods. Challenges research directions are outlined highlight emerging topics where more work is needed to help mitigate risks. It anticipated that systems will likely have significant risk due compounding effects...

10.1061/(asce)he.1943-5584.0002164 article EN Journal of Hydrologic Engineering 2022-03-24

A near real-time flood detection algorithm giving a synoptic overview of the extent flooding in both urban and rural areas, capable working during night-time day-time even if cloud was present, could be useful tool for operational relief management. The paper describes an automatic using high-resolution synthetic aperture radar (SAR) satellite data that builds on existing approaches, including use image segmentation techniques prior to object classification cope with very large number pixels...

10.1109/tgrs.2011.2178030 article EN IEEE Transactions on Geoscience and Remote Sensing 2012-02-22

This paper presents a remote-sensing-based steady-state flood inundation model to improve preventive flood-management strategies and disaster management. The Regression Elevation-based Flood Information eXtraction (REFIX) is based on regression analysis uses remotely sensed extent high-resolution floodplain digital elevation compute depths for given event. root mean squared error of the REFIX, compared ground-surveyed high water marks, 18 cm January 2003 event River Alzette (G.D....

10.1109/tgrs.2006.888103 article EN IEEE Transactions on Geoscience and Remote Sensing 2007-06-01

Abstract Two‐dimensional flood inundation modelling is a widely used tool to aid risk management. In urban areas, the model spatial resolution required represent flows through typical street network often results in an impractical computational cost at city scale. This paper presents calibration and evaluation of recently developed formulation LISFLOOD‐FP model, which more computationally efficient these resolutions. Aerial photography was available for on 3 days from 24 31 July. The new...

10.1111/j.1753-318x.2011.01093.x article EN Journal of Flood Risk Management 2011-02-19

Abstract River discharge is currently monitored by a diminishing network of gauges, which provide spatially incomplete picture global discharges. This study assimilated water level information derived from fused satellite Synthetic Aperture Radar (SAR) image and digital terrain model (DTM) with simulations coupled hydrological hydrodynamic to estimate in an un‐gauged basin scenario. Assimilating measurements led 79% reduction ensemble uncertainty over the alone. Measurement bias was evident,...

10.1002/hyp.7518 article EN Hydrological Processes 2009-11-17

On December 12, 2006, both the European Remote Sensing Satellite 2 and Environmental recorded a high-magnitude flood event on River Dee in Wales (U.K.) only 28 min apart. This unique opportunity enables creation of very rare but extremely useful observed data set for inundation studies. For management purposes, hydrodynamic models are often run after an with field gauged during to approximate area depth. As adequate <i xmlns:mml="http://www.w3.org/1998/Math/MathML"...

10.1109/tgrs.2009.2017937 article EN IEEE Transactions on Geoscience and Remote Sensing 2009-05-04

Floods are among the top-ranking natural disasters in terms of annual cost insured and uninsured losses. Since high-impact events often cover spatial scales that beyond traditional regional monitoring operations, remote sensing, particular from satellites, presents an attractive approach. 1970s, there have been many studies scientific literature about mapping floods using data various sensors onboard different satellites. The field has now matured hence is a general consensus space agencies,...

10.3390/rs10081230 article EN cc-by Remote Sensing 2018-08-06
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