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.
Professional Experience
Physical Scientist, U.S. Geological Survey, New England Water Science Center, 2022 to Present
Student Trainee (Hydrology), U.S. Geological Survey, New England Water Science Center, 2016 to 2022
Education and Certifications
M.S. Natural Resources and Environmental Sciences, University of Illinois, 2022
B.A. Biology, University of Maine, 2014
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.
Elevation-Derived Hydrography in the Upper Shawsheen River Basin, Massachusetts
The U.S. Geological Survey (USGS), in cooperation with the Air Force Civil Engineer Center (AFCEC), has compiled Geographic Information Systems (GIS) datasets. The spatial data layers provided in this data release are hydrography data derived from high-resolution lidar digital elevation models (DEM). They include a hydroline polyline shapefile used to hydro-enforce the high-resolution lidar DEM; a
Maine StreamStats Foundation Data Layers
The U.S. Geological Survey (USGS), in cooperation with Maine Department of Transportation, has compiled a series of GIS datasets to be implemented into the USGS StreamStats application for the State of Maine.These data were compiled from the high-resolution National Hydrography Dataset (NHD) and the Maine Lidar-Derived Watersheds (Sturtevant and Schoen, 2022). By using these datasets users will be
Maine Lidar-Derived Watersheds
Lidar Digital Elevation Models (DEMs) at 2-meter resolution have been used to derive watershed boundaries for the State of Maine. Geographic Information Systems (GIS) software was used to hydrologically enforce lidar DEMs and delineate watershed boundaries at pre-existing pour point locations (Price, 2016). The watershed boundaries are comparable in size to the 12-digit Hydrologic Unit catchments
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.
Elevation-Derived Hydrography in the Upper Shawsheen River Basin, Massachusetts
The U.S. Geological Survey (USGS), in cooperation with the Air Force Civil Engineer Center (AFCEC), has compiled Geographic Information Systems (GIS) datasets. The spatial data layers provided in this data release are hydrography data derived from high-resolution lidar digital elevation models (DEM). They include a hydroline polyline shapefile used to hydro-enforce the high-resolution lidar DEM; a
Maine StreamStats Foundation Data Layers
The U.S. Geological Survey (USGS), in cooperation with Maine Department of Transportation, has compiled a series of GIS datasets to be implemented into the USGS StreamStats application for the State of Maine.These data were compiled from the high-resolution National Hydrography Dataset (NHD) and the Maine Lidar-Derived Watersheds (Sturtevant and Schoen, 2022). By using these datasets users will be
Maine Lidar-Derived Watersheds
Lidar Digital Elevation Models (DEMs) at 2-meter resolution have been used to derive watershed boundaries for the State of Maine. Geographic Information Systems (GIS) software was used to hydrologically enforce lidar DEMs and delineate watershed boundaries at pre-existing pour point locations (Price, 2016). The watershed boundaries are comparable in size to the 12-digit Hydrologic Unit catchments