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Coastal and Marine Hazards and Resources Program images.
Barrier behavior, drowning time, and net shoreline change for a range of overwash flux and lower shoreface toe depths modeled by the LTA and ABSF.
Barrier behavior, drowning time, and net shoreline change for a range of overwash flux and lower shoreface toe depths modeled by the LTA and ABSF.
Map of American Samoa and study area of the American Samoa Mapping Project.
Map of American Samoa and study area of the American Samoa Mapping Project.
The Digital Shoreline Analysis System (DSAS) version 6 is a standalone application that calculates shoreline or boundary change over time. The GIS of a user’s choice is used to prepare the data for DSAS. Like previous versions, DSAS v.6 enables a user to calculate rate-of-change statistics from multiple historical shoreline positions.
The Digital Shoreline Analysis System (DSAS) version 6 is a standalone application that calculates shoreline or boundary change over time. The GIS of a user’s choice is used to prepare the data for DSAS. Like previous versions, DSAS v.6 enables a user to calculate rate-of-change statistics from multiple historical shoreline positions.
DSAS generates transects that are cast perpendicular to the reference baseline to intersect shorelines at a user-specified spacing alongshore.
DSAS generates transects that are cast perpendicular to the reference baseline to intersect shorelines at a user-specified spacing alongshore.
The Digital Shoreline Analysis System (DSAS) version 6 is a standalone application that calculates shoreline or boundary change over time. The GIS of a user’s choice is used to prepare the data for DSAS. Like previous versions, DSAS v.6 enables a user to calculate rate-of-change statistics from multiple historical shoreline positions.
The Digital Shoreline Analysis System (DSAS) version 6 is a standalone application that calculates shoreline or boundary change over time. The GIS of a user’s choice is used to prepare the data for DSAS. Like previous versions, DSAS v.6 enables a user to calculate rate-of-change statistics from multiple historical shoreline positions.
The Digital Shoreline Analysis System (DSAS) version 6 is a standalone application that calculates shoreline or boundary change over time. The GIS of a user’s choice is used to prepare the data for DSAS. Like previous versions, DSAS v.6 enables a user to calculate rate-of-change statistics from multiple historical shoreline positions.
The Digital Shoreline Analysis System (DSAS) version 6 is a standalone application that calculates shoreline or boundary change over time. The GIS of a user’s choice is used to prepare the data for DSAS. Like previous versions, DSAS v.6 enables a user to calculate rate-of-change statistics from multiple historical shoreline positions.
The Digital Shoreline Analysis System (DSAS) version 6 is a standalone application that calculates shoreline or boundary change over time. The GIS of a user’s choice is used to prepare the data for DSAS. Like previous versions, DSAS v.6 enables a user to calculate rate-of-change statistics from multiple historical shoreline positions.
The Digital Shoreline Analysis System (DSAS) version 6 is a standalone application that calculates shoreline or boundary change over time. The GIS of a user’s choice is used to prepare the data for DSAS. Like previous versions, DSAS v.6 enables a user to calculate rate-of-change statistics from multiple historical shoreline positions.
The Digital Shoreline Analysis System (DSAS) version 6 is a standalone application that calculates shoreline or boundary change over time. The GIS of a user’s choice is used to prepare the data for DSAS. Like previous versions, DSAS v.6 enables a user to calculate rate-of-change statistics from multiple historical shoreline positions.
The Digital Shoreline Analysis System (DSAS) version 6 is a standalone application that calculates shoreline or boundary change over time. The GIS of a user’s choice is used to prepare the data for DSAS. Like previous versions, DSAS v.6 enables a user to calculate rate-of-change statistics from multiple historical shoreline positions.
Bathymetric map of Ozette Lake in Washington State. Cover image for the Ozette Lake Paleoseismology video.
Bathymetric map of Ozette Lake in Washington State. Cover image for the Ozette Lake Paleoseismology video.
Testing a USGS patented device (DSIM) and measuring it's performance with a new analytical upgrade recently designed and installed. The DSIM allows for gas samples to be put into a spectrometer and measured in a closed loop, which increased the data signal fidelity, repeatability, and amount an analyte used.
Testing a USGS patented device (DSIM) and measuring it's performance with a new analytical upgrade recently designed and installed. The DSIM allows for gas samples to be put into a spectrometer and measured in a closed loop, which increased the data signal fidelity, repeatability, and amount an analyte used.
Testing a USGS patented device (DSIM) and measuring it's performance with a new analytical upgrade recently designed and installed. The DSIM allows for gas samples to be put into a spectrometer and measured in a closed loop, which increased the data signal fidelity, repeatability, and amount an analyte used.
Testing a USGS patented device (DSIM) and measuring it's performance with a new analytical upgrade recently designed and installed. The DSIM allows for gas samples to be put into a spectrometer and measured in a closed loop, which increased the data signal fidelity, repeatability, and amount an analyte used.
A snow covered science center in Woods Hole, Massachusetts after a powerful nor'easter hit the Cape Cod on January 25, 2026.
A snow covered science center in Woods Hole, Massachusetts after a powerful nor'easter hit the Cape Cod on January 25, 2026.
Maps showing FL coral reef degradation, from the study Coral Reef Protection May Help Avert Risks to People, Property, and Economic Activity Caused by Projected Reef Degradation.
Maps showing FL coral reef degradation, from the study Coral Reef Protection May Help Avert Risks to People, Property, and Economic Activity Caused by Projected Reef Degradation.
Geologic model for abyssal seismoturbidite generation along the Cascadia Subduction Zone. (A) With each earthquake cycle, slope failures occur on the oversteepened limbs of thrust folds in the accretionary wedge, resulting in proximal MTDs and turbidity flows that spread out across the abyssal plain.
Geologic model for abyssal seismoturbidite generation along the Cascadia Subduction Zone. (A) With each earthquake cycle, slope failures occur on the oversteepened limbs of thrust folds in the accretionary wedge, resulting in proximal MTDs and turbidity flows that spread out across the abyssal plain.
Enlargements of 1-m AUV bathymetry overlain on 30-m bathymetry grid for the study area along the Cascadia Subduction Zone. (A) The AUV bathymetry data reveal a 10m high failure scarp that extends for 4km along the seaward face of the frontal thrust fold. Secondary reverse faults observed in the chirp subbottom data are expressed at the seafloor with ~3m offsets.
Enlargements of 1-m AUV bathymetry overlain on 30-m bathymetry grid for the study area along the Cascadia Subduction Zone. (A) The AUV bathymetry data reveal a 10m high failure scarp that extends for 4km along the seaward face of the frontal thrust fold. Secondary reverse faults observed in the chirp subbottom data are expressed at the seafloor with ~3m offsets.
USGS Coastal Storm Modeling System (CoSMoS) flood hazard maps for coastal adaptation planning across California are now available state-wide.
USGS Coastal Storm Modeling System (CoSMoS) flood hazard maps for coastal adaptation planning across California are now available state-wide.
Maps of five study sites spread across the conterminous United States, Alaska, and the Island of Puerto Rico and descriptions of each site’s coastal setting. From the study Comparisons of Shoreline Positions from Satellite-Derived and Traditional Field- and Remote-Sensing Techniques.
Maps of five study sites spread across the conterminous United States, Alaska, and the Island of Puerto Rico and descriptions of each site’s coastal setting. From the study Comparisons of Shoreline Positions from Satellite-Derived and Traditional Field- and Remote-Sensing Techniques.
In Fall 2025 the Hawaiʻi Abyssal Nodules and Associated Ecosystems Expedition, led by USGS scientists, will investigate the geology, minerals, and environmental setting of the deep seabed offshore Moku o Keawe (Hawaiʻi Island) in the U.S. Exclusive Economic Zone. This work is part of ongoing collaborative efforts with BOEM and NOAA.
In Fall 2025 the Hawaiʻi Abyssal Nodules and Associated Ecosystems Expedition, led by USGS scientists, will investigate the geology, minerals, and environmental setting of the deep seabed offshore Moku o Keawe (Hawaiʻi Island) in the U.S. Exclusive Economic Zone. This work is part of ongoing collaborative efforts with BOEM and NOAA.
Shipek grab sampler and sediment sample. Image is included in USGS data release, "Grain-size analysis of sediment samples collected in the nearshore zone offshore of Marconi Beach, Wellfleet, MA, December 9, 2024."
Shipek grab sampler and sediment sample. Image is included in USGS data release, "Grain-size analysis of sediment samples collected in the nearshore zone offshore of Marconi Beach, Wellfleet, MA, December 9, 2024."
To assess our #sedimenttransport prediction techniques, #USGS scientists deployed a high-tech instrument off #SandyNeckBeach in Barnstable, Massachusetts from March-April 2021 to measure water velocity, temperature, and salinity, wave pressure, tidal force, seabed changes, and sediment characteristics.
To assess our #sedimenttransport prediction techniques, #USGS scientists deployed a high-tech instrument off #SandyNeckBeach in Barnstable, Massachusetts from March-April 2021 to measure water velocity, temperature, and salinity, wave pressure, tidal force, seabed changes, and sediment characteristics.
The USGS uses a nationwide network of coastal observing cameras (CoastCams) to monitor coastal conditions in near real-time and support research on a variety of coastal processes and hazards.
The USGS uses a nationwide network of coastal observing cameras (CoastCams) to monitor coastal conditions in near real-time and support research on a variety of coastal processes and hazards.