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diagram showing transect lines on a shoreline
DSAS Elements
DSAS Elements
DSAS Elements

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.

diagram with arrows pointing landward and seaward
DSAS Landward vs Seaward
DSAS Landward vs Seaward
DSAS Landward vs Seaward

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.

software showing coastline with transect lines
DSAS Software
DSAS Software
DSAS Software

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.

software interface showing transect rates on shoreline
DSAS Sample Data
DSAS Sample Data
DSAS Sample Data

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 infographic
DSAS v6.1 Infographic
DSAS v6.1 Infographic
DSAS v6.1 Infographic

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 diagram with arrows pointing to different steps in the process
DSAS step by step
DSAS step by step
DSAS step by step

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
Bathymetric map of Ozette Lake in Washington State
Bathymetric map of Ozette Lake in Washington State
Person holding object in hand walking through a laboratory
Testing DSIM
Testing DSIM
Testing DSIM

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.

Person in lab working with equipment
Testing DSIM
Testing DSIM
Testing DSIM

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.

building with lots of snow on the ground and a shoveled path to the door
Snow Day
Snow Day
Snow Day

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.

Geologic model for abyssal seismoturbidite generation along the Cascadia Subduction Zone
Geologic model for abyssal seismoturbidite generation along the Cascadia Subduction Zone
Geologic model for abyssal seismoturbidite generation along the Cascadia Subduction Zone
Geologic model for abyssal seismoturbidite generation along the Cascadia Subduction Zone

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
Enlargements of 1-m AUV bathymetry overlain on 30-m bathymetry grid for the study area along the Cascadia Subduction Zone
Enlargements of 1-m AUV bathymetry overlain on 30-m bathymetry grid for the study area along the Cascadia Subduction Zone
Enlargements of 1-m AUV bathymetry overlain on 30-m bathymetry grid for the study area along the Cascadia Subduction Zone

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.

Maps of five study sites spread across the conterminous United States, Alaska, and the Island of Puerto Rico
Comparisons of Shoreline Positions from Satellite-Derived and Traditional Field- and Remote-Sensing Techniques
Comparisons of Shoreline Positions from Satellite-Derived and Traditional Field- and Remote-Sensing Techniques
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.

Cover image for Hawai'i Abyssal Nodules Expedition video
Cover image for Hawai'i Abyssal Nodules Expedition video
Cover image for Hawai'i Abyssal Nodules Expedition video
Cover image for Hawai'i Abyssal Nodules Expedition video

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.

social media post
Social Media: Sediment Movement in Cape Cod Bay
Social Media: Sediment Movement in Cape Cod Bay
Social Media: Sediment Movement in Cape Cod Bay

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. 

Three people on beach with camera mounted on tall pole
Marconi Beach CoastCam Maintenance
Marconi Beach CoastCam Maintenance
Marconi Beach CoastCam Maintenance

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.

social media post
Social Media: Biogeomorphic salt marsh model
Social Media: Biogeomorphic salt marsh model
Social Media: Biogeomorphic salt marsh model

A new study introduces a cutting-edge biogeomorphic model (UBMorph) to help predict how #ChesapeakeBay #saltmarshes will change over time. Using UBMorph, researchers found that 404 square kilometers (37%) of vegetated #marsh area in Chesapeake Bay could be lost by 2110.

A new study introduces a cutting-edge biogeomorphic model (UBMorph) to help predict how #ChesapeakeBay #saltmarshes will change over time. Using UBMorph, researchers found that 404 square kilometers (37%) of vegetated #marsh area in Chesapeake Bay could be lost by 2110.

social media post
Social Media: Shoreline Change of Long Island Sound
Social Media: Shoreline Change of Long Island Sound
Social Media: Shoreline Change of Long Island Sound

A new #datarelease contains a GIS compilation of vector shorelines and associated #shorelinechange data from the 1800s to the 2010s for the coast of Long Island Sound, #NewYork and #Connecticut. 

A new #datarelease contains a GIS compilation of vector shorelines and associated #shorelinechange data from the 1800s to the 2010s for the coast of Long Island Sound, #NewYork and #Connecticut. 

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