His primary scientific interests are in Flood myth, Remote sensing, Synthetic aperture radar, Floodplain and Radar. His Flood myth research is mostly focused on the topic Flood forecasting. The Remote sensing study which covers Scale that intersects with Hydrograph, Interferometric synthetic aperture radar and Shuttle Radar Topography Mission.
His Synthetic aperture radar research is multidisciplinary, incorporating elements of Calibration, Change detection, Radar imaging and Satellite imagery. Guy Schumann has included themes like Elevation, Scale, Routing and Digital elevation model in his Floodplain study. His work on Channelized and Water level as part of general Hydrology research is often related to Scale model and Hydraulics, thus linking different fields of science.
Guy Schumann mainly focuses on Flood myth, Remote sensing, Hydrology, Meteorology and Floodplain. Flood forecasting is the focus of his Flood myth research. As a part of the same scientific study, Guy Schumann usually deals with the Remote sensing, concentrating on Radar and frequently concerns with Aerial photography.
The Meteorology study combines topics in areas such as Scale and Climatology. He interconnects Flooding, Elevation, Water level, Shuttle Radar Topography Mission and Current in the investigation of issues within Floodplain. His Synthetic aperture radar study combines topics in areas such as Change detection, Calibration, Satellite imagery and Thresholding.
Guy Schumann mostly deals with Flood myth, Hydrology, Remote sensing, Meteorology and Environmental resource management. The various areas that Guy Schumann examines in his Flood myth study include Flooding, Earth observation and Water resource management. His Discharge and Flood hazard study in the realm of Hydrology interacts with subjects such as Natural.
His Remote sensing study frequently draws connections between adjacent fields such as Image resolution. His Environmental resource management study combines topics from a wide range of disciplines, such as Debris, Satellite imagery and Natural hazard. His studies in Digital elevation model integrate themes in fields like Elevation, Contextual image classification, Global Positioning System and Interferometric synthetic aperture radar.
His primary areas of investigation include Flood myth, Hydrology, Earth observation, Current and Natural. His work in the fields of Flood myth, such as Flood hazard, overlaps with other areas such as Call to action. His work in Floodplain, Surface water, Tributary, Water level and Catchment hydrology are all subfields of Hydrology research.
The concepts of his Earth observation study are interwoven with issues in Key and Artificial intelligence. The study incorporates disciplines such as Fluvial, Climate change, Hydrography, Physical geography and Channel in addition to Current.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
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.
Water Resources Research (2012)
Towards an automated SAR-based flood monitoring system: Lessons learned from two case studies
P. Matgen;R. Hostache;G. Schumann;L. Pfister.
Physics and Chemistry of The Earth (2011)
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.
Reviews of Geophysics (2009)
A Change Detection Approach to Flood Mapping in Urban Areas Using TerraSAR-X
L. Giustarini;R. Hostache;P. Matgen;Guy J.-P Schumann.
IEEE Transactions on Geoscience and Remote Sensing (2013)
Flood Detection in Urban Areas Using TerraSAR-X
D.C. Mason;R. Speck;B. Devereux;G.J.-P. Schumann.
IEEE Transactions on Geoscience and Remote Sensing (2010)
Flood-plain mapping: a critical discussion of deterministic and probabilistic approaches
Giuliano Di Baldassarre;Guy Schumann;Paul D. Bates;Jim E. Freer.
Hydrological Sciences Journal-journal Des Sciences Hydrologiques (2010)
Comparison of remotely sensed water stages from LiDAR, topographic contours and SRTM
G. Schumann;P. Matgen;M.E.J. Cutler;A. Black.
Isprs Journal of Photogrammetry and Remote Sensing (2008)
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.
International Journal of Applied Earth Observation and Geoinformation (2007)
High-Resolution 3-D Flood Information From Radar Imagery for Flood Hazard Management
G. Schumann;R. Hostache;C. Puech;L. Hoffmann.
IEEE Transactions on Geoscience and Remote Sensing (2007)
A technique for the calibration of hydraulic models using uncertain satellite observations of flood extent
Giuliano Di Baldassarre;Guy Schumann;Paul D. Bates.
Journal of Hydrology (2009)
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