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Coastal and Marine Hazards and Resources Program images.

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USGS R/V Stephens operating within Lake Powell, UT-AZ
Lake Powell Geophysical Survey
Lake Powell Geophysical Survey
Lake Powell Geophysical Survey

USGS R/V Stephens operating within Lake Powell, UT-AZ.  A multibeam echosounder is deployed off the starboard side of the vessel and is used to collect depth information within the reservoir.

USGS R/V Stephens operating within Lake Powell, UT-AZ.  A multibeam echosounder is deployed off the starboard side of the vessel and is used to collect depth information within the reservoir.

R/V Muddy Waters
R/V Muddy Waters
R/V Muddy Waters
R/V Muddy Waters

The R/V Muddy Waters lends itself to be a versatile survey launch and assistance vessel for the deployment and retrieval of inshore moorings and scientific sensor platforms. The boat can easily be towed to location by a full sized pickup truck and is easily launched and retrieved for fast mobilization after storm events or other rapid response surveys.

The R/V Muddy Waters lends itself to be a versatile survey launch and assistance vessel for the deployment and retrieval of inshore moorings and scientific sensor platforms. The boat can easily be towed to location by a full sized pickup truck and is easily launched and retrieved for fast mobilization after storm events or other rapid response surveys.

Photograph of moving-boat ADCP discharge measurements being made in Bayou Heron.
Photograph of Bayou Heron, Mississippi
Photograph of Bayou Heron, Mississippi
Series of diagrams with arrows from left to right, how data visualization tool goes from a global to regional to local scale.
How projections in CoSMoS work
How projections in CoSMoS work
How projections in CoSMoS work

CoSMoS’s approach to projecting flood hazards: global winds, waves, tides, and anomalous water levels are scaled down to the local scale for  projecting nearshore wave heights, flooding, and shoreline change, including beach erosion and cliff failures.

Learn more at usgs.gov/cosmos

CoSMoS’s approach to projecting flood hazards: global winds, waves, tides, and anomalous water levels are scaled down to the local scale for  projecting nearshore wave heights, flooding, and shoreline change, including beach erosion and cliff failures.

Learn more at usgs.gov/cosmos

Map shows a coastal city with an airport and how, during a large storm, ocean water would flood around city features.
CoSMoS projection for San Diego
CoSMoS projection for San Diego
CoSMoS projection for San Diego

Example of CoSMoS projected flooding extents for a 1.5 meter sea level rise in combination with possible 100 year return period coastal storms.

Example of CoSMoS projected flooding extents for a 1.5 meter sea level rise in combination with possible 100 year return period coastal storms.

Underwater photograph looking across a reef of jagged corals, and looking up at the surface of the water with visible ripples.
Underwater photo of coral reef, Tutuila Island
Underwater photo of coral reef, Tutuila Island
Underwater photo of coral reef, Tutuila Island

Underwater photograph showing corals in Tāfeu Cove, National Park of American Samoa, north shore of Tutuila Island, American Samoa.

A cinderblock with monitoring devices on it sits in shallow water on a reef with corals growing on it and off in the distance.
Elkhorn coral in Biscayne National Park
Elkhorn coral in Biscayne National Park
Elkhorn coral in Biscayne National Park

The CMHRP is testing the calcification rates of different genetic strains of threatened Elkhorn coral (Acropora palmata) to advise local and Federal agencies engaged in coral reef restoration.

The CMHRP is testing the calcification rates of different genetic strains of threatened Elkhorn coral (Acropora palmata) to advise local and Federal agencies engaged in coral reef restoration.

3 close-up views of the toe of the Mud Creek landslide created from air photos after the landslide
3 close-up views of the toe of the Mud Creek landslide
3 close-up views of the toe of the Mud Creek landslide
3 close-up views of the toe of the Mud Creek landslide

Close-up views of the toe of the Mud Creek landslide created from air photos taken May 27 (top), June 13 (middle), and June 26 (bottom). Caltrans built roads on top of the slide for assessment and monitoring activities.

Close-up views of the toe of the Mud Creek landslide created from air photos taken May 27 (top), June 13 (middle), and June 26 (bottom). Caltrans built roads on top of the slide for assessment and monitoring activities.

Topographic-change image produced by comparing 3D map derived from May 27 air photos with that derived from June 13 air photos
Topographic-change image produced by comparing subsequent 3D maps
Topographic-change image produced by comparing subsequent 3D maps
Topographic-change image produced by comparing subsequent 3D maps

Topographic-change image produced by comparing 3D map derived from May 27 air photos with that derived from June 13 air photos. Note that material has eroded from the seaward edge of the toe (yellow and orange tones), and material has built up on beaches to either side of the slide (blue tones).

Topographic-change image produced by comparing 3D map derived from May 27 air photos with that derived from June 13 air photos. Note that material has eroded from the seaward edge of the toe (yellow and orange tones), and material has built up on beaches to either side of the slide (blue tones).

A woman stands between 2 men, holding a blue glass award in a conference room
Cassandra Ladino receives the 2017 CDI Leadership and Innovation Award
Cassandra Ladino receives the 2017 CDI Leadership and Innovation Award
Cassandra Ladino receives the 2017 CDI Leadership and Innovation Award

From left to right: Associate Director for Core Science Systems Kevin Gallagher, Physical Scientist Cassandra Ladino, and Chief, Office of Enterprise Information/Associate Chief Information Officer Tim Quinn.

Brown lines across the image describe the fault, with labeled features, depth, and width
Multichannel seismic-reflection profile from Queen Charlotte-Fault
Multichannel seismic-reflection profile from Queen Charlotte-Fault
Multichannel seismic-reflection profile from Queen Charlotte-Fault

Multichannel seismic-reflection profile across the Queen Charlotte-Fairweather fault, acquired aboard the R/V Norseman in August 2016. Dashed red line in enlarged section at lower right is the Queen Charlotte-Fairweather fault. m, meter; km, kilometer; ms, millisecond.

Multichannel seismic-reflection profile across the Queen Charlotte-Fairweather fault, acquired aboard the R/V Norseman in August 2016. Dashed red line in enlarged section at lower right is the Queen Charlotte-Fairweather fault. m, meter; km, kilometer; ms, millisecond.

Photo of a laboratory with various equipment and tables to work on.
PCMSC Marine Minerals Laboratory
PCMSC Marine Minerals Laboratory
PCMSC Marine Minerals Laboratory

A look into the USGS Pacific Coastal and Marine Science Center’s Marine Minerals Laboratory Suite.

Left: shades of blue show water depth. Right: changes in colors show accretion or erosion of the seafloor
Examples of sediment dynamics offshore of barrier islands
Examples of sediment dynamics offshore of barrier islands
Examples of sediment dynamics offshore of barrier islands

Examples of sediment dynamics offshore of barrier islands include the development and erosion of shoals, tidal deltas, and sand ridges.

“Variance” images derived from videos of Madeira Beach (left) and Cowells Beach (right)
“Variance” images derived from videos of beaches studied
“Variance” images derived from videos of beaches studied
“Variance” images derived from videos of beaches studied

“Variance” images derived from the same videos used in the studies. Left, Madeira Beach; right, Cowells Beach. In a variance image, the more variation in light intensity at a given pixel, the brighter the value assigned to that pixel. Bright areas indicate many changes in light intensity, caused by a lot of movement.

“Variance” images derived from the same videos used in the studies. Left, Madeira Beach; right, Cowells Beach. In a variance image, the more variation in light intensity at a given pixel, the brighter the value assigned to that pixel. Bright areas indicate many changes in light intensity, caused by a lot of movement.

A woman in a purple shirt holds a controller and explains the UAS sitting on the ground  to a man in a suit
USGS pilot and Senate Pro Tempore discuss the use of UASs
USGS pilot and Senate Pro Tempore discuss the use of UASs
USGS pilot and Senate Pro Tempore discuss the use of UASs

USGS pilot Sandy Brosnahan and Senate Pro Tempore Marc Pacheco discuss the use of Umanned Aerial Systems (UASs, also known as drones) to collect data in coastal environments.

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