Amanda Schoen
Amanda Schoen is a Physical Scientist in the New England Water Science Center.
Amanda was first hired as a student trainee in 2016, and has since been converted to physical scientist. Her work includes micellaneous GIS tasks, data analysis, geospatial analysis, database creation and management, map production, and flood risk assessment.
Science and Products
New England Lidar-Derived Hydrography Project
High-quality light detection and ranging (lidar) data from USGS 3D Elevation Program (3DEP) has unlocked the potential to derive new and innovative hydrography datasets such as the USGS next generation 3D Hydrography Program (3DHP) that can be used for many hydrologic and hydraulic (H&H) modeling applications. Federal Emergency Management Agency (FEMA) mapping partners require elevation and...
Characterizing Future Flood Flows for Flood Insurance Studies
Current methods of flood-frequency analyses for flood insurance studies assume that the statistical distribution of data from past observations will continue unchanged in the future. This is known as the assumption of stationarity. This assumption allows scientists to estimate flood magnitude and frequency based on past records and the expectation that those estimates will represent current and...
Development of Flood Insurance Maps in New England
FEMA has requested USGS expertise in hydraulics, hydrology, and mapping to generate flood insurance maps for New England.
Science and Products
New England Lidar-Derived Hydrography Project
High-quality light detection and ranging (lidar) data from USGS 3D Elevation Program (3DEP) has unlocked the potential to derive new and innovative hydrography datasets such as the USGS next generation 3D Hydrography Program (3DHP) that can be used for many hydrologic and hydraulic (H&H) modeling applications. Federal Emergency Management Agency (FEMA) mapping partners require elevation and...
Characterizing Future Flood Flows for Flood Insurance Studies
Current methods of flood-frequency analyses for flood insurance studies assume that the statistical distribution of data from past observations will continue unchanged in the future. This is known as the assumption of stationarity. This assumption allows scientists to estimate flood magnitude and frequency based on past records and the expectation that those estimates will represent current and...
Development of Flood Insurance Maps in New England
FEMA has requested USGS expertise in hydraulics, hydrology, and mapping to generate flood insurance maps for New England.