Our Nation has many kinds of coastal ecosystems: from wetlands and sandy beaches to reef-lined coasts and icy permafrost cliffs. While each of these coasts are unique, they have one thing in common—they are constantly changing. The USGS studies the processes that shape our coastal systems and predicts the resulting changes and geological, ecological, and economic consequences.
What is coastal change?
Sediments are the foundation of coastal systems, and the movement of these sediments can result in the evolution of entire ecosystems. USGS measures the amount of sediment present, and how it moves in various environments, such as wetlands, estuaries, beaches, and barrier islands. Processes such as erosion—sediments being taken away from one area of coastline—and deposition—when they are moved to another place—are driven by natural forces, including waves, wind, tides, and currents. These processes can shift shorelines in various directions and change the elevation of coastal environments, therefore influencing the areas that are habitable by people, plants, and animals.
How does USGS study coastal change?
Our scientists use many methods, both through direct measurements like coastal elevation profiles and indirectly using remote sensing, to characterize the shape of our coasts and how they are shifting over time. Some methods include light detection and ranging (LiDAR); amphibious tools and vehicles (technology suited for both land and water) for nearshore seafloor mapping; and satellite imagery, as well as elevation data collected on foot.
USGS measures and monitors the position of shorelines along the entire U.S. coastline and how they have changed since the 1800s using a combination of historical and satellite imagery. These data are used to develop tools such as the Digital Shoreline Analysis System (DSAS) for users to both visualize and track these changes on their own. The Coastal National Elevation Database (CoNED) provides high-resolution digital coastal elevation data, and topobathymetric maps that are used to identify coastal features, hazard zones, changes in ecosystems and to form the foundation for developing models that simulate sediment transport and storm surge. These data help coastal managers, engineers, planners, and resource managers understand how coastal change and its associated hazards will influence our coastal habitats and communities.
Changes to the coastline can affect where and how severely flooding may occur and how this could impact biodiversity persistence. USGS experts use a host of different high-tech devices to gather scientific data before, during, and after extreme storms. This information improves flood forecasting models, is used to update nationwide flood zone maps, helps emergency managers plan for future flooding events, and is critical for managing coastal species with specific habitat requirements.
Visualizing Change
Modeling and Predicting Coastal Change
Predictive modeling techniques are used to forecast how the coast will change in response to both natural processes and anthropogenic influences, as well as how these changes may affect the availability and distribution of habitat for coastal species of concern like piping plovers and sea turtles. This information is useful for informing conservation strategies for partners such as the National Park Service and the U.S. Fish and Wildlife Service.
Some coastal change model forecasts are provided in real-time to show areas that are expected to erode, where sand washes away; overwash, where water overtops the dunes of a beach and pushes sand inland; or inundate, where the coast is completely and continuously submerged by high water levels like storm surge. These predictive models are tested and verified using remote sensing techniques including satellites, aerial imagery, and a collection of cameras that monitor coastal areas of interest.
Chandeleur Islands to Breton Island bathymetric and topographic datasets and operational sediment budget development: Methodology and analysis report
The potential of wave energy conversion to mitigate coastal erosion from hurricanes
Probabilistic patterns of inundation and biogeomorphic changes due to sea-level rise along the northeastern U.S. Atlantic coast
Relationships between regional coastal land cover distributions and elevation reveal data uncertainty in a sea-level rise impacts model
Digital Shoreline Analysis System (DSAS)
Remote Sensing Coastal Change
Sediment Transport in Coastal Environments
Coastal Climate Impacts
Dynamic coastlines along the western U.S.
State of Our Nation's Coast
Coastal Storm Modeling System (CoSMoS)
Quantifying Flood Risk and Reef Risk Reduction Benefits in Florida and Puerto Rico: The Consequences of Hurricane Damage, Long-term Degradation, and Restoration Opportunities
USGS DUNEX Operations on the Outer Banks
Massachusetts Integrated Coastal Studies (MICS)
Coastal Resource Evaluation for Management Application (CREMA)
USGS science supporting the Elwha River Restoration Project
Bathymetry, topography, and sediment grain-size data from the Elwha River delta, Washington, July 2018
Beach topography and nearshore bathymetry of the Columbia River littoral cell, Washington and Oregon
Digital Shoreline Analysis System v5.1
The Digital Shoreline Analysis System version 5.1 software is an add-in to Esri ArcGIS Desktop version 10.4–10.7 that enables a user to calculate rate-of-change statistics from a time series of vector shoreline positions.
Topographic and bathymetric data, sediment samples, structure from motion imagery, and reference mark data collected at Marconi Beach, Wellfleet in winter 2021, U.S Geological Survey Field Activity 2021-022-FA
The data in this publication map the beach and nearshore environment at Marconi Beach in Wellfleet, MA and provide regional context for the 2021 CoastCam installation that looks out at the coast shared by beachgoers, shorebirds, seals, and sharks. These data were collected as part of field activity 2021-022-FA and a collaboration with the National Park Service at Cape Cod National Seashore.
Table and accompanying photographs for biogeomorphic classification of shorebird nesting sites on the U.S. Atlantic coast from March to September, 2016
Preliminary estimates of forecasted shoreline positions and associated uncertainties for Florida and Georgia
Massachusetts Shoreline Change Project, 2021 Update: A GIS Compilation of Shoreline Change Rates Calculated Using Digital Shoreline Analysis System Version 5.1, With Supplementary Intersects and Baselines for Massachusetts
Massachusetts Shoreline Change Project: A GIS Compilation of Vector Shorelines (1844-2018)
Coastal Change in Alaska
Alaska's north coast has been home to indigenous communities for centuries. Changing coastlines threaten important infrastructure and historic sites that support indigenous communities. Changing coastlines also can potentially reduce habitat for Arctic wildlife, such as polar bears, shorebirds, and walruses. Oil- and gas-related development sites and U.S. Department of Defense installations
Real-Time Forecasts of Coastal Change
U.S. Geological Survey researchers develop tools to forecast coastal change hazards. This geonarrative features research and tools developed to forecast real-time coastal change.
Coastal Change at Fire Island
This geonarrative features research used to predict how Fire Island beaches change in response to storms and how they may subsequently recover in the year following a storm event.
COAWST Modeling System v3.4
- Overview
Oblique aerial photographs of Rodanthe, North Carolina, from May 6, 2008 (top, pre-storm), and August 31, 2011 (bottom, post-storm). The yellow arrow in each image points to the same cottage. A breach was carved through the barrier island, severing North Carolina Highway 12. The storm surge was approximately 2 m high on the soundside and less on the oceanside. Flow from the sound to the ocean may have played a role in cutting the breaches between Oregon Inlet and Cape Hatteras. What is coastal change?
Sediments are the foundation of coastal systems, and the movement of these sediments can result in the evolution of entire ecosystems. USGS measures the amount of sediment present, and how it moves in various environments, such as wetlands, estuaries, beaches, and barrier islands. Processes such as erosion—sediments being taken away from one area of coastline—and deposition—when they are moved to another place—are driven by natural forces, including waves, wind, tides, and currents. These processes can shift shorelines in various directions and change the elevation of coastal environments, therefore influencing the areas that are habitable by people, plants, and animals.
How does USGS study coastal change?
Our scientists use many methods, both through direct measurements like coastal elevation profiles and indirectly using remote sensing, to characterize the shape of our coasts and how they are shifting over time. Some methods include light detection and ranging (LiDAR); amphibious tools and vehicles (technology suited for both land and water) for nearshore seafloor mapping; and satellite imagery, as well as elevation data collected on foot.
USGS measures and monitors the position of shorelines along the entire U.S. coastline and how they have changed since the 1800s using a combination of historical and satellite imagery. These data are used to develop tools such as the Digital Shoreline Analysis System (DSAS) for users to both visualize and track these changes on their own. The Coastal National Elevation Database (CoNED) provides high-resolution digital coastal elevation data, and topobathymetric maps that are used to identify coastal features, hazard zones, changes in ecosystems and to form the foundation for developing models that simulate sediment transport and storm surge. These data help coastal managers, engineers, planners, and resource managers understand how coastal change and its associated hazards will influence our coastal habitats and communities.
Changes to the coastline can affect where and how severely flooding may occur and how this could impact biodiversity persistence. USGS experts use a host of different high-tech devices to gather scientific data before, during, and after extreme storms. This information improves flood forecasting models, is used to update nationwide flood zone maps, helps emergency managers plan for future flooding events, and is critical for managing coastal species with specific habitat requirements.
Visualizing Change
Fire Island shorelines from 1985 to 2018 were extracted from imagery and are plotted together with 2018 imagery to reveal how a breach in the island has evolved through time. From 1985-2011, the island was continuous at this location. The passage of Hurricane Sandy in 2012 formed a breach in the middle of the island and this breach can be observed in 2018 imagery and shorelines from 2013-2018. Model animation showing land elevation, current speed and direction and the formation of breaches over the North Core Banks barrier islands. Our Coast, Our Future (OCOF) is a collaborative, user-driven project focused on providing coastal California resource managers and land use planners locally relevant, online maps and tools to help understand, visualize, and anticipate vulnerabilities to sea level rise and storms. OCOF uses the USGS Coastal Storm Modeling System (CoSMoS), the modeling approach used to estimate sea level rise and storm scenarios. CoSMoS provides some of the most accurate and detailed results available for California. Modeling and Predicting Coastal Change
Predictive modeling techniques are used to forecast how the coast will change in response to both natural processes and anthropogenic influences, as well as how these changes may affect the availability and distribution of habitat for coastal species of concern like piping plovers and sea turtles. This information is useful for informing conservation strategies for partners such as the National Park Service and the U.S. Fish and Wildlife Service.
Some coastal change model forecasts are provided in real-time to show areas that are expected to erode, where sand washes away; overwash, where water overtops the dunes of a beach and pushes sand inland; or inundate, where the coast is completely and continuously submerged by high water levels like storm surge. These predictive models are tested and verified using remote sensing techniques including satellites, aerial imagery, and a collection of cameras that monitor coastal areas of interest.
The COAWST modeling system joins an ocean model, an atmosphere model, a wave model, and a sediment transport model for studies of coastal change. Learn more Total water level (TWL) at the shoreline is the combination of tides, surge, and wave runup . A forecast of TWL is an estimate of the elevation where the ocean will meet the coast and can provide guidance on potential coastal erosion and flooding hazards. Learn more Airborne lidar is a surveying method that measures distance to a target from a survey plane by illuminating that target with a pulsed laser light, and measuring the reflected pulses with a sensor. Learn more - Publications
Chandeleur Islands to Breton Island bathymetric and topographic datasets and operational sediment budget development: Methodology and analysis report
This study is part of the Coastal Protection and Restoration Authority (CPRA) Louisiana Barrier Island Comprehensive Monitoring (BICM) program. The goal of the BICM program is to provide long-term data on the barrier islands of Louisiana for monitoring change and assisting in coastal management. The BICM program uses historical data and acquires new data to map and monitor shoreline position, sediAuthorsJames G. Flocks, Arnell S. Forde, Julie BernierThe potential of wave energy conversion to mitigate coastal erosion from hurricanes
Wave energy conversion technologies have recently attracted more attention as part of global efforts to replace fossil fuels with renewable energy resources. While ocean waves can provide renewable energy, they can also be destructive to coastal areas that are often densely populated and vulnerable to coastal erosion. There have been a variety of efforts to mitigate the impacts of wave- and storm-AuthorsCigdem Ozkan, Talea Mayo, Davina PasseriProbabilistic patterns of inundation and biogeomorphic changes due to sea-level rise along the northeastern U.S. Atlantic coast
ContextCoastal landscapes evolve in response to sea-level rise (SLR) through a variety of geologic processes and ecological feedbacks. When the SLR rate surpasses the rate at which these processes build elevation and drive lateral migration, inundation is likely.ObjectivesTo examine the role of land cover diversity and composition in landscape response to SLR across the northeastern United States.AuthorsErika Lentz, Sara L. Zeigler, E. Robert Thieler, Nathaniel G. PlantRelationships between regional coastal land cover distributions and elevation reveal data uncertainty in a sea-level rise impacts model
Understanding land loss or resilience in response to sea-level rise (SLR) requires spatially extensive and continuous datasets to capture landscape variability. We investigate sensitivity and skill of a model that predicts dynamic response likelihood to SLR across the northeastern U.S. by exploring several data inputs and outcomes. Using elevation and land cover datasets, we determine where datAuthorsErika Lentz, Nathaniel G. Plant, E. Robert Thieler - Science
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Digital Shoreline Analysis System (DSAS)
Computer Software for Calculating Shoreline Change (or positional change of a boundary over time) The Digital Shoreline Analysis System (DSAS) v5 software is an add-in to Esri ArcGIS desktop (10.4-10.7+) that enables a user to calculate rate-of-change statistics from multiple historical shoreline positions. It provides an automated method for establishing measurement locations, performs rate...Remote Sensing Coastal Change
We use remote-sensing technologies—such as aerial photography, satellite imagery, structure-from-motion (SfM) photogrammetry, and lidar (laser-based surveying)—to measure coastal change along U.S. shorelines.Sediment Transport in Coastal Environments
Our research goals are to provide the scientific information, knowledge, and tools required to ensure that decisions about land and resource use, management practices, and future development in the coastal zone and adjacent watersheds can be evaluated with a complete understanding of the probable effects on coastal ecosystems and communities, and a full assessment of their vulnerability to natural...Coastal Climate Impacts
The impacts of climate change and sea-level rise around the Pacific and Arctic Oceans can vary tremendously. Thus far the vast majority of national and international impact assessments and models of coastal climate change have focused on low-relief coastlines that are not near seismically active zones. Furthermore, the degree to which extreme waves and wind will add further stress to coastal...Dynamic coastlines along the western U.S.
The west coast of the United States is extremely complex and changeable because of tectonic activity, mountain building, and land subsidence. These active environments pose a major challenge for accurately assessing climate change impacts, since models were historically developed for more passive sandy coasts.State of Our Nation's Coast
Discover USGS products, tools, and data with the Coastal Science Navigator! The Coastal Science Navigator serves as a gateway to USGS Coastal Change Hazards resources and assists users in finding products and tools that will meet their specific needs.Coastal Storm Modeling System (CoSMoS)
The Coastal Storm Modeling System (CoSMoS) makes detailed predictions of storm-induced coastal flooding, erosion, and cliff failures over large geographic scales. CoSMoS was developed for hindcast studies, operational applications and future climate scenarios to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety...Quantifying Flood Risk and Reef Risk Reduction Benefits in Florida and Puerto Rico: The Consequences of Hurricane Damage, Long-term Degradation, and Restoration Opportunities
Coastal flooding and erosion from extreme weather events affect thousands of vulnerable coastal communities; the impacts of coastal flooding are predicted to worsen during this century because of population growth and climate change. Hurricanes Irma and Maria in 2017 were particularly devasting to humans and natural communities. The coral reefs off the State of Florida and the Commonwealth of...USGS DUNEX Operations on the Outer Banks
DUring Nearshore Event eXperiment (DUNEX) is a multi-agency, academic, and non-governmental organization (NGO) collaborative community experiment designed to study nearshore coastal processes during storm events. The experiment began in 2019 and is scheduled for completion in the fall of 2021. USGS participation in DUNEX will contribute new measurements and models that will increase our...Massachusetts Integrated Coastal Studies (MICS)
Coastal erosion, intense storm events and sea-level rise pose threats to coastal communities and infrastructure. Managers and scientists often lack the high-resolution data needed to improve estimates of sediment abundance and movement, shoreline change, and seabed characteristics that influence coastal vulnerability. To address these and other needs the U.S. Geological Survey, in partnership with...Coastal Resource Evaluation for Management Application (CREMA)
Coastal environments are dynamic systems that provide high ecological, economical, recreational, and cultural value. Managing coastal systems requires a comprehensive understanding of the complex interactions between geological and ecological processes, as well as the ability to predict both the near-term and long-term impacts of storms and sea-level rise. The Coastal Resource Evaluation for...USGS science supporting the Elwha River Restoration Project
The Elwha River Restoration Project has reconnected the water, salmon, and sediment of a pristine river and coast of the Olympic Peninsula of Washington. - Data and More
Filter Total Items: 15
Bathymetry, topography, and sediment grain-size data from the Elwha River delta, Washington, July 2018
Two dams on the Elwha River, Washington State, USA trapped over 20 million m3 of sediment, reducing downstream sediment fluxes and contributing to erosion of the river's coastal delta. The removal of the Elwha and Glines Canyon dams between 2011 and 2014 induced massive increases in river sediment supply and provided an unprecedented opportunity to examine the response of a delta system to changesBeach topography and nearshore bathymetry of the Columbia River littoral cell, Washington and Oregon
This data release presents beach topography and nearshore bathymetry data from repeated surveys performed by a team of scientists from the U.S. Geological Survey, Washington State Department of Ecology, and Oregon State University in the Columbia River littoral cell (CRLC), Washington and Oregon. The CRLC extends approximately 165 kilometers between Point Grenville (PG), Washington, and TillamookDigital Shoreline Analysis System v5.1
The Digital Shoreline Analysis System version 5.1 software is an add-in to Esri ArcGIS Desktop version 10.4–10.7 that enables a user to calculate rate-of-change statistics from a time series of vector shoreline positions.
Topographic and bathymetric data, sediment samples, structure from motion imagery, and reference mark data collected at Marconi Beach, Wellfleet in winter 2021, U.S Geological Survey Field Activity 2021-022-FA
The data in this publication map the beach and nearshore environment at Marconi Beach in Wellfleet, MA and provide regional context for the 2021 CoastCam installation that looks out at the coast shared by beachgoers, shorebirds, seals, and sharks. These data were collected as part of field activity 2021-022-FA and a collaboration with the National Park Service at Cape Cod National Seashore.
Table and accompanying photographs for biogeomorphic classification of shorebird nesting sites on the U.S. Atlantic coast from March to September, 2016
Atlantic coast piping plover (Charadrius melodus) nest sites are typically found on low-lying beach and dune systems, which respond rapidly to coastal processes like sediment overwash, inlet formation, and island migration that are sensitive to climate-related changes in storminess and the rate of sea-level rise. Data were obtained to understand piping plover habitat distribution and use along thePreliminary estimates of forecasted shoreline positions and associated uncertainties for Florida and Georgia
During Hurricane Irma, Florida and Georgia experienced substantial impacts to beaches, dunes, barrier islands, and coral reefs. Extensive erosion and coral losses from hurricanes result in increased vulnerability of coastal regions, including densely populated areas. Erosion may put critical infrastructure at risk of future flooding and may cause economic loss. The U.S. Geological Survey (USGS) CoMassachusetts Shoreline Change Project, 2021 Update: A GIS Compilation of Shoreline Change Rates Calculated Using Digital Shoreline Analysis System Version 5.1, With Supplementary Intersects and Baselines for Massachusetts
The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast and support local land-use decisions. Trends of shoreline position over long and short-term timescales provide information to landowners, managers, and potential buyers about possible future impacts to coastal resources and infrastructure. In 2001, a 1994Massachusetts Shoreline Change Project: A GIS Compilation of Vector Shorelines (1844-2018)
The U.S. Geological Survey, in cooperation with the Massachusetts Office of Coastal Zone Management compiled Massachusetts vector shorelines into an updated dataset for the Office's Shoreline Change Project. The Shoreline Change Project started in 1989 to identify erosion-prone areas of the Massachusetts coast by compiling a database of historical shoreline positions. Trends of shoreline positionCoastal Change in Alaska
Alaska's north coast has been home to indigenous communities for centuries. Changing coastlines threaten important infrastructure and historic sites that support indigenous communities. Changing coastlines also can potentially reduce habitat for Arctic wildlife, such as polar bears, shorebirds, and walruses. Oil- and gas-related development sites and U.S. Department of Defense installations
Real-Time Forecasts of Coastal Change
U.S. Geological Survey researchers develop tools to forecast coastal change hazards. This geonarrative features research and tools developed to forecast real-time coastal change.
Coastal Change at Fire Island
This geonarrative features research used to predict how Fire Island beaches change in response to storms and how they may subsequently recover in the year following a storm event.
COAWST Modeling System v3.4
Coupled ocean atmosphere wave sediment transport modeling system - Multimedia
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