What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Hydrology
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.
His most cited work include:
- A subgrid channel model for simulating river hydraulics and floodplain inundation over large and data sparse areas (233 citations)
- A subgrid channel model for simulating river hydraulics and floodplain inundation over large and data sparse areas (233 citations)
- Towards an automated SAR-based flood monitoring system: Lessons learned from two case studies (211 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Flood myth (58.78%)
- Remote sensing (43.24%)
- Hydrology (23.65%)
What were the highlights of his more recent work (between 2019-2021)?
- Flood myth (58.78%)
- Hydrology (23.65%)
- Remote sensing (43.24%)
In recent papers he was focusing on the following fields of study:
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.
Between 2019 and 2021, his most popular works were:
- A LISFLOOD-FP hydraulic model of the middle reach of the Congo (4 citations)
- Bare Earth DEM Generation for Large Floodplains Using Image Classification in High-Resolution Single-Pass InSAR (3 citations)
- Combined Modeling of US Fluvial, Pluvial, and Coastal Flood Hazard Under Current and Future Climates (2 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Hydrology
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.
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