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Images

Images below come from a wide variety of USGS science activities in the Northeast Region. Science Center staff showcase what we do, who we are, and where we work conducting science that inform decision makers and addresses societal needs. 

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 Map of distribution of fine- and coarse-grained sand, Stellwagen Bank
Map of distribution of fine- and coarse-grained sand, Stellwagen Bank
Map of distribution of fine- and coarse-grained sand, Stellwagen Bank
Methane bubbles emerging from the seafloor
Tiny bubbles (of methane)
Tiny bubbles (of methane)
Tiny bubbles (of methane)

Methane bubbles emerging from the seafloor at a seep site colonized by chemosynthetic mussels at ~1000 m water depth on the Virginia margin. Photograph taken by the Global Explorer operated by Oceaneering Inc.

Methane bubbles emerging from the seafloor at a seep site colonized by chemosynthetic mussels at ~1000 m water depth on the Virginia margin. Photograph taken by the Global Explorer operated by Oceaneering Inc.

deploying a multicorer to sample the seafloor near an Atlantic margin methane seep site.
Multicorer deployment to sample the seafloor
Multicorer deployment to sample the seafloor
Multicorer deployment to sample the seafloor

USGS ocean engineers Peter Dal Ferro and Gerry Hatcher, from the Pacific Coastal and Marine Science Center in Santa Cruz, California, deploying a multicorer to sample the seafloor near an Atlantic margin methane seep site.

Map of the NE US coast showing several types of data collected by NOAA and the USGS, with explanatory insets
Map shows hill-shaded bathymetric, backscatter, and photographic data
Map shows hill-shaded bathymetric, backscatter, and photographic data
Map shows hill-shaded bathymetric, backscatter, and photographic data

Hill-shaded bathymetric, backscatter, and photographic data collected by NOAA and the USGS. Backscatter data give indications of seafloor character. In general, low-backscatter intensity (blue) corresponds to finer-grained material, whereas high-backscatter intensity (orange) corresponds to coarser substrate.

Hill-shaded bathymetric, backscatter, and photographic data collected by NOAA and the USGS. Backscatter data give indications of seafloor character. In general, low-backscatter intensity (blue) corresponds to finer-grained material, whereas high-backscatter intensity (orange) corresponds to coarser substrate.

Map shows survey lines of the inner continental shelf of the Delmarva Peninsula in green, and data from partners in blue
The USGS conducted surveys on the inner continental shelf of the Delma
The USGS conducted surveys on the inner continental shelf of the Delma
The USGS conducted surveys on the inner continental shelf of the Delma

The USGS conducted surveys on the inner continental shelf of the Delmarva Peninsula (shown in green) to complement related datasets previously collected in the area by partners NOAA and BOEM. The inset map shows location of the study area.

The USGS conducted surveys on the inner continental shelf of the Delmarva Peninsula (shown in green) to complement related datasets previously collected in the area by partners NOAA and BOEM. The inset map shows location of the study area.

From a distance, a man stands behind a table set up on the edge of a marsh operating a small orange craft in the water by cable
USGS scientist measures water, sediment movement in coastal salt marsh
USGS scientist measures water, sediment movement in coastal salt marsh
USGS scientist measures water, sediment movement in coastal salt marsh

USGS scientist Zafer Defne measures water and sediment movement at Forsythe National Wildlife Refuge, New Jersey. Defne is co-author with Neil Ganju of a 2017 study on how to estimate coastal salt marshes’ potential longevity, based on their sediment budgets and the ratio of open water to vegetation.

USGS scientist Zafer Defne measures water and sediment movement at Forsythe National Wildlife Refuge, New Jersey. Defne is co-author with Neil Ganju of a 2017 study on how to estimate coastal salt marshes’ potential longevity, based on their sediment budgets and the ratio of open water to vegetation.

browse graphic of the data locations
Browse graphic of data
Browse graphic of data
Browse graphic of data

Browse graphic of the sediment textuer and geomorphology data of the sea floor from Fenwick Island, MD to FIsherman's Island, VA

Browse graphic of the sediment textuer and geomorphology data of the sea floor from Fenwick Island, MD to FIsherman's Island, VA

Samples Repository Collections map interface
Samples Repository Collections map interface
Samples Repository Collections map interface
Samples Repository Collections map interface

Map interface of Cores, grabs, dredges, slides, and other samples, primarily of marine, estuarine, and lacustrine sediments, curated at the USGS Woods Hole Coastal and Marine Science Center.

Map interface of Cores, grabs, dredges, slides, and other samples, primarily of marine, estuarine, and lacustrine sediments, curated at the USGS Woods Hole Coastal and Marine Science Center.

Diver in an underwater cave.
Diver collecting samples
Diver collecting samples
Diver collecting samples

David Brankovits collecting water samples in Molnar Janos Cave in Budapest, Hungary.

A scientist explains an illustration on a poster presentation to a congressman in a suit
Elizabeth Pendleton describes USGS work to map the Mass. seafloor
Elizabeth Pendleton describes USGS work to map the Mass. seafloor
Images of Matanzas, Florida, from before and after Hurricane Matthew, and DEM showing the associated change
Orthomosaic and DEM images of Matanzas, Florida
Orthomosaic and DEM images of Matanzas, Florida
Orthomosaic and DEM images of Matanzas, Florida

Orthomosaic images of Matanzas, Florida, from (a) before and (b) after Hurricane Matthew, and (c) a digital elevation model (DEM) showing the associated topographic change. Note, these results were produced by applying Structure-from-Motion (SfM) to NOAA oblique photographs, but similar results can be obtained using UAS aerial imagery.

Orthomosaic images of Matanzas, Florida, from (a) before and (b) after Hurricane Matthew, and (c) a digital elevation model (DEM) showing the associated topographic change. Note, these results were produced by applying Structure-from-Motion (SfM) to NOAA oblique photographs, but similar results can be obtained using UAS aerial imagery.

A short animation contrasts the difference between near-bottom current magnitude and surface current magnitude, showing waves of
A short animation contrasts the sand movement during Hurricane Sandy
A short animation contrasts the sand movement during Hurricane Sandy
A short animation contrasts the sand movement during Hurricane Sandy

 USGS scientists built a model that reproduces the waves, currents (shown in meters per second [m/s]), and sand movement at Fire Island during Hurricane Sandy’s passage (Warner and others, 2017).

Three panels with bright colors showing underwater bathymetry features
Perspective views of multibeam bathymetry data acquired by the USGS
Perspective views of multibeam bathymetry data acquired by the USGS
Perspective views of multibeam bathymetry data acquired by the USGS

Perspective views of multibeam bathymetry data acquired by the USGS aboard the R/V Medeia. Shallower depths in red. Arrows point to the distinct line in the seafloor associated with the Queen Charlotte-Fairweather fault.

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