Luke Sturtevant is a GIS Specialist in the New England Water Science Center. He is also an Associate Geospatial Liaison for New England.
Science and Products
New England Lidar-Derived Hydrography Project
The Impact of Climate Change on Culturally Significant Wetland Plants and Their Habitat in the Meduxnekeag River Watershed in Maine
Flood Documentation and Inundation Mapping of the January and March 2018 Nor’easters in Coastal Massachusetts
Development of Flood Insurance Maps in New England
Maine StreamStats Foundation Data Layers
Digital Elevation Model and Derivative Datasets to Support the Integration of Stormwater Drainage into the StreamStats Application for the Mystic River Watershed, Massachusetts
Basin Characteristics Data for the StreamStats Application in the Mystic River Basin, Massachusetts
Computed Streamflow Using Satellite Data for the Copper, Nushagak, Tanana, Yukon, Susitna, and Knik, Koyukuk Rivers, Alaska, 2008-2021
Data for Models Estimating Baseflow for Streams Containing Endangered Atlantic Salmon in Maine, USA
Spatial Coverage for Estimated Baseflow for Streams Containing Endangered Atlantic Salmon in Maine, USA (version 1.1, June 2022)
Maine Lidar-Derived Watersheds
Spatial Coverage for Estimated Baseflow for Streams Containing Endangered Atlantic Salmon in Maine, USA
The U.S. Geological Survey (USGS) developed a regression model for estimating mean August baseflow per square mile of drainage area in cooperation with National Oceanic and Atmospheric Administration (NOAA) to help resource managers assess relative amounts of baseflow in streams with Maine Atlantic Salmon habitat (Lombard and others, 2021). The model was applied to each reach of a stream network d
Data and shapefiles used to document the floods associated with the January and March 2018 Nor'easters for Coastal Areas of New England
Transportation Risk Assessment for Planning and Project Delivery (TRAPPD) Python Script Tool for Maine
Data validating computation of boundary roughness from QL2 lidar derived digital elevation models for 2D hydraulic modeling applications
Documentation and mapping of flooding from the January and March 2018 nor’easters in coastal New England
In January and March 2018, coastal Massachusetts experienced flooding from two separate nor’easters. To put the January and March floods into historical context, the USGS computed statistical stillwater elevations. Stillwater elevations recorded in January 2018 in Boston (9.66 feet relative to the North American Vertical Datum of 1988) have an annual exceedance probability of between 2 and 1 perce
Hydrologic conditions and simulation of groundwater and surface water in the Great Dismal Swamp of Virginia and North Carolina
Simulated hydrologic response to climate change during the 21st century in New Hampshire
Science and Products
- Science
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...The Impact of Climate Change on Culturally Significant Wetland Plants and Their Habitat in the Meduxnekeag River Watershed in Maine
Wetland plants are important to Wabanaki people in Maine and are central to Houlton Band of Maliseet Indian (HBMI) identity. HBMI peoples have harvested culturally important plants within the Meduxnekeag watershed for generations. Basket making and medicinal plant harvesting are forms of cultural preservation that are also important to Tribal economies. Projections for climate change in the noFlood Documentation and Inundation Mapping of the January and March 2018 Nor’easters in Coastal Massachusetts
2018 Nor’easters in Coastal MassachusettsDevelopment 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. - Data
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 beDigital Elevation Model and Derivative Datasets to Support the Integration of Stormwater Drainage into the StreamStats Application for the Mystic River Watershed, Massachusetts
The U.S. Geological Survey’s StreamStats program is a publicly-accessible web application (https://streamstats.usgs.gov) that can be used to delineate drainage areas, compute basin characteristics, and estimate flow statistics for user-selected locations on streams. StreamStats services are typically implemented at the statewide or watershed scale (referred to as state or basin applications), andBasin Characteristics Data for the StreamStats Application in the Mystic River Basin, Massachusetts
The U.S. Geological Survey’s StreamStats program is a publicly-accessible web application (https://streamstats.usgs.gov) that can be used to delineate drainage areas, compute basin characteristics, and estimate flow statistics for user-selected locations on streams. StreamStats services are typically implemented at the statewide or watershed scale (referred to as state or basin applications), andComputed Streamflow Using Satellite Data for the Copper, Nushagak, Tanana, Yukon, Susitna, and Knik, Koyukuk Rivers, Alaska, 2008-2021
Relations between satellite altimetry water-surface elevation data and dynamic surface water extent data derived from LANDSAT imagery data were used with a modified Manning's equation to compute remotely sensed streamflows (RSQ) at locations on the Tanana, Yukon, Susitna, Nushagak, Copper, Koyukuk and Knik Rivers in Alaska using satellite data. Data are organized into zip archives named for each sData for Models Estimating Baseflow for Streams Containing Endangered Atlantic Salmon in Maine, USA
The U.S. Geological Survey (USGS) developed a regression model for estimating August mean baseflow per square mile of drainage area to help resource managers assess relative amounts of baseflow in streams with Maine Atlantic Salmon habitat. The model was derived from August mean baseflows computed at 31 USGS streamgages in and near the Gulf of Maine Atlantic Salmon Habitat Recovery Units. An ordinSpatial Coverage for Estimated Baseflow for Streams Containing Endangered Atlantic Salmon in Maine, USA (version 1.1, June 2022)
The U.S. Geological Survey (USGS) developed a regression model for estimating mean August baseflow per square mile of drainage area in cooperation with National Oceanic and Atmospheric Administration (NOAA) to help resource managers assess relative amounts of baseflow in streams with Maine Atlantic Salmon habitat (Lombard and others, 2021). The model was applied to each reach of a stream network dMaine 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 catchmentsSpatial Coverage for Estimated Baseflow for Streams Containing Endangered Atlantic Salmon in Maine, USA
The U.S. Geological Survey (USGS) developed a regression model for estimating mean August baseflow per square mile of drainage area in cooperation with National Oceanic and Atmospheric Administration (NOAA) to help resource managers assess relative amounts of baseflow in streams with Maine Atlantic Salmon habitat (Lombard and others, 2021). The model was applied to each reach of a stream network d
Data and shapefiles used to document the floods associated with the January and March 2018 Nor'easters for Coastal Areas of New England
The U.S. Geological Survey (USGS) New England Water Science Center worked with the Federal Emergency Management Agency to document the floods of January 4, 2018 and March 2-4, 2018, in coastal Massachusetts. USGS conducted a frequency analysis of stillwater elevations at three National Oceanic and Atmospheric Administration coastal gages following the coastal floods of 2018. The data for these anTransportation Risk Assessment for Planning and Project Delivery (TRAPPD) Python Script Tool for Maine
Over 40,000 road crossings in Maine are maintained by Maine Department of Transportation (MaineDOT) managers, emergency managers, natural resource planners, and municipalities. Resource managers need a way to quickly and comprehensively assess, during the planning stages of potential transportation-related projects, how ecological, hydrologic, and structural characteristics of bridges and culvertsData validating computation of boundary roughness from QL2 lidar derived digital elevation models for 2D hydraulic modeling applications
Calibration of hydraulic models require careful selection of input parameters to provide the best possible modeling outcome. Currently the selection of hydraulic resistance or 'n' values for these models is a subjective process potentially exposing models to critical review . A process is needed to objectively estimate n-values so everyone responsible for model calibration arrives at the same an - Multimedia
- Publications
Documentation and mapping of flooding from the January and March 2018 nor’easters in coastal New England
In January and March 2018, coastal Massachusetts experienced flooding from two separate nor’easters. To put the January and March floods into historical context, the USGS computed statistical stillwater elevations. Stillwater elevations recorded in January 2018 in Boston (9.66 feet relative to the North American Vertical Datum of 1988) have an annual exceedance probability of between 2 and 1 perce
AuthorsPamela J. Lombard, Scott A. Olson, Luke P. Sturtevant, Rena D. KalmonHydrologic conditions and simulation of groundwater and surface water in the Great Dismal Swamp of Virginia and North Carolina
The U.S. Geological Survey (USGS), in cooperation with the U.S Fish and Wildlife Service, has investigated the hydrology of the Great Dismal Swamp (Swamp) National Wildlife Refuge (Refuge) in Virginia and North Carolina and developed a three-dimensional numerical model to simulate groundwater and surface-water hydrology. The model was developed with MODFLOW-NWT, a USGS numerical groundwater flow mAuthorsJack R. Eggleston, Jeremy D. Decker, Jason S. Finkelstein, Frederic C. Wurster, Paul E. Misut, Luke P. Sturtevant, Gary K. SpeiranSimulated hydrologic response to climate change during the 21st century in New Hampshire
The U.S. Geological Survey, in cooperation with the New Hampshire Department of Environmental Services and the Department of Health and Human Services, has developed a hydrologic model to assess the effects of short- and long-term climate change on hydrology in New Hampshire. This report documents the model and datasets developed by using the model to predict how climate change will affect the hydAuthorsDavid M. Bjerklie, Luke P. Sturtevant