What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Hydrology
Patrick Matgen focuses on Flood myth, Remote sensing, Hydrology, Synthetic aperture radar and Digital elevation model.
His work on Flood forecasting as part of general Flood myth research is often related to Boundary value problem, thus linking different fields of science.
His research integrates issues of Meteorology and Water content in his study of Remote sensing.
His studies in Hydrology integrate themes in fields like Calibration, Structural basin and Dimension.
Patrick Matgen has researched Synthetic aperture radar in several fields, including Change detection and Radar imaging.
His Digital elevation model research is multidisciplinary, incorporating perspectives in Floodplain, Routing, Lidar, HEC-HMS and Hydraulic structure.
His most cited work include:
- Soil moisture estimation through ASCAT and AMSR-E sensors: An intercomparison and validation study across Europe (384 citations)
- Influence of uncertain boundary conditions and model structure on flood inundation predictions. (254 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?
Patrick Matgen mostly deals with Flood myth, Remote sensing, Synthetic aperture radar, Hydrology and Water content.
His biological study deals with issues like Floodplain, which deal with fields such as Metal contamination.
His Remote sensing study combines topics in areas such as Meteorology, Data assimilation and Radar imaging.
His work in Synthetic aperture radar addresses subjects such as Thresholding, which are connected to disciplines such as Speckle pattern.
His research investigates the connection between Hydrology and topics such as Calibration that intersect with problems in Hydrograph.
Patrick Matgen has included themes like Scatterometer, Soil science, Correlation coefficient and Remote sensing in his Water content study.
He most often published in these fields:
- Flood myth (46.25%)
- Remote sensing (44.37%)
- Synthetic aperture radar (26.88%)
What were the highlights of his more recent work (between 2019-2021)?
- Flood myth (46.25%)
- Synthetic aperture radar (26.88%)
- Remote sensing (44.37%)
In recent papers he was focusing on the following fields of study:
Patrick Matgen mainly focuses on Flood myth, Synthetic aperture radar, Remote sensing, Water content and Scale.
The various areas that Patrick Matgen examines in his Flood myth study include Cartography, Scale, Meteorology and Time series.
His research in Synthetic aperture radar intersects with topics in Change detection, Data collection, Real-time computing, Flood Image and Flood forecasting.
His study in the field of Interferometric synthetic aperture radar also crosses realms of Fully automatic.
His Water content research is included under the broader classification of Hydrology.
The study incorporates disciplines such as Soil science, Spatial analysis and Bathymetry in addition to Scale.
Between 2019 and 2021, his most popular works were:
- Coastline Detection Based on Sentinel-1 Time Series for Ship- and Flood-Monitoring Applications (3 citations)
- DATA PROCESSING ARCHITECTURES FOR MONITORING FLOODS USING SENTINEL-1 (2 citations)
- Assimilation of probabilistic flood maps from SAR data into ahydrologic-hydraulic forecasting model: a proof of concept (1 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Hydrology
Synthetic aperture radar, Flood myth, Natural hazard, Environmental resource management and Estimation are his primary areas of study.
His Synthetic aperture radar research integrates issues from Filter, Data processing system, Data assimilation, Flood forecasting and Big data.
Patrick Matgen merges Flood myth with Context in his research.
Patrick Matgen combines Natural hazard and Citizen science in his research.
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