New Products Added to the Coastal Science Navigator
Sound Waves Newsletter
Explore coastal and marine science from across the USGS in Sound Waves.
Explore coastal and marine science from across the USGS in Sound Waves.
Mashpee Wampanoag Preserving Our Homeland Summer Science Camp
A USGS Recap of the 2023 Season
A USGS Recap of the 2023 Season
Monitoring Change at the Lower Darby Creek Area Superfund Site
A Collaborative Effort Between USGS, EPA, FAA, and FWS
A Collaborative Effort Between USGS, EPA, FAA, and FWS
Habitat Preferences of Seabeach Amaranth, A Threatened Beach Dependent Species
First CONUS-wide Coastal Wetland Collection
Monitoring the Storm: USGS Coastal Response to Hurricane Lee
Woods Hole Coastal and Marine Science Center
Woods Hole Coastal and Marine Science Center is one of three centers serving the mission of the USGS Coastal and Marine Hazards and Resources Program—the primary Federal marine geology and physical science research program responsible for the Nation’s entire coastal and marine landscape.
Research
Research
Read about our science projects, find out where we are working and why it matters
News
Digital Shoreline Analysis System (DSAS) Update
Digital Shoreline Analysis System (DSAS) Update
New USGS-led Research Sheds Light on Deep-Sea Food Webs
New USGS-led Research Sheds Light on Deep-Sea Food Webs
New Products Added to the Coastal Science Navigator
New Products Added to the Coastal Science Navigator
Publications
Calculation of a suspended-sediment concentration-turbidity regression model and flood-ebb suspended-sediment concentration differentials from marshes near Stone Harbor and Thompsons Beach, New Jersey, 2018–19 and 2022–23
The U.S. Geological Survey collected water velocity and water quality data from salt marshes in Great Channel, southwest of Stone Harbor, New Jersey, and near Thompsons Beach, New Jersey, to evaluate restoration effectiveness after Hurricane Sandy and monitor postrestoration marsh health. Time series data of turbidity and water velocity were collected from 2018 to 2019 and 2022 to 2023 at both sit
National shoreline change—Summary statistics for vector shorelines from the early 1900s to the 2010s for Puerto Rico
The U.S. Geological Survey (USGS) maintains a database of historical shoreline positions for the United States coasts derived from historical sources, such as aerial photographs or topographic surveys, and contemporary sources, such as modern orthophotography, light detection and ranging (lidar) point clouds, and digital elevation models. These shorelines are compiled within a geographic informati
Modeled flooding by tsunamis and a storm versus observed extent of coral erratics on Anegada, British Virgin Islands— Further evidence for a great Caribbean earthquake six centuries ago
Models of near-field tsunamis and an extreme hurricane provide further evidence for a great precolonial earthquake along the Puerto Rico Trench. The models are benchmarked to brain-coral boulders and cobbles on Anegada, 125 km south of the trench. The models are screened by their success in flooding the mapped sites of these erratics, which were emplaced some six centuries ago. Among 25 tsunami sc
Science
USGS CoastCams
The U.S. Geological Survey (USGS) uses a nationwide network of coastal observing cameras, or CoastCams, to monitor coastal conditions in near real-time and support research by the USGS and its partners into a variety of coastal processes and hazards. The most recent CoastCam images are made publicly available within minutes of data collection and can be accessed using the links below or by...
Future Landscape Adaptation and Coastal Change (FLACC)
USGS scientists working on the Future Landscape Adaptation and Coastal Change (FLACC) project bring together information on coastal environments, processes, and climate drivers to evaluate where and when future changes along our Nation’s coast may occur and what they may look like.
Coastal Change Likelihood
The U.S. Geological Survey, in partnership with the National Park Service through the Natural Resource Preservation Program, developed the Coastal Change Likelihood (CCL) assessment to determine the future likelihood of coastal change along U.S. coastlines in the next decade. The Northeast United States, from Maine to Virginia, was selected for a proof-of-concept pilot study.