Woods Hole Coastal and Marine Science Center

Multimedia

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USGS pilots landing a Unmanned Aerial Systems (uas) on  Dauphin Island, Alabama
March 12, 2019

USGS pilot landing an unmanned aerial system on Dauphin Island, AL

 USGS unmanned aerial system (drone) pilot collecting aerial imagery and ground control points for the Coastal Resource Evaulation for Management Applications (CREMA) project on Dauphin Island, Alabama

Map showing surficial geology of Nantucket and Marthas Vineyard
February 26, 2019

Surficial Geology Map of Nantucket and Marthas Vineyard, MA

Map showing the surficial geology from this study and Baldwin and others (2016) with equivalent onshore geology (adapted from Stone and DiGiacomo-Cohen, 2009). The areal extents over which offshore subsurface geologic units crop out at the sea floor were interpreted from seismic-reflection data.

Piping Plover habitat on Cedar Island shown here off of the DelMarVa Peninsula.
December 31, 2018

Piping Plover Habitat, Cedar Island

The beach-dependent shorebirds project at the Woods Hole Coastal and Marine Science Center models current and future habitat availability for nesting shorebirds in an effort to map current and likely future habitat availability on a range of sites along the U.S. Atlantic coast. Sites include beaches with minimal human-presence, such Cedar Island shown here off of the

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Map of Massachusetts and the Islands
December 31, 2018

Map of Massachusetts and the Islands

Study site map for the Massachusetts Shoreline Change Project, 2018 Update: A GIS Compilation of Shoreline Change Rates Calculated Using Digital Shoreline Analysis System Version 5.0, With Supplementary Intersects and Baselines for Massachusetts

Image showing example of seafloor images and deployment of the SEABOSS sampler.
December 31, 2018

SEABOSS Collage

SEABed Observation and Sampling System (SEABOSS) (center image) and the MiniSEABOSS (right) designed for rapid, inexpensive, and effective collection of seabed imagery (photographs and video) as well sediment samples from the coastal/inner-continental shelf regions.  Images from coastal Massachusetts show purple algae-encrusted cobbles and boulders covered with sea-stars (

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Image showing seafloor topography, water column image of methane plume, and seismic data.
December 31, 2018

Water Column and Seismic collage

3D Image of a multi-channel seismic (MCS) line showing gas (blue/green) migrating up through fractures in the subsurface, culminating in a 600 meter tall plume of methane gas in the water column that was captured using a Simrad EK60 split beam echo sounder.  Background bathymetry was downloaded from USGS Open-File Report 2012-1266 (

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 Three-dimensional model of Chimney Bluffs, New York along Lake Ontario
December 31, 2018

Three-dimensional model of Chimney Bluffs, New York along Lake Ontari

Three-dimensional model of Chimney Bluffs, New York along Lake Ontario created from low-altitude digital images collected from an unmanned aerial system (UAS).

Displaying fixed bin options for rates of change
December 31, 2018

Displaying fixed bin options for rates of change

Displaying fixed bin options (left) for rates of change for an example dataset (LRR, EPR, WLR), and scaled to data (right) (NSM).

Data visualization with scaled options applied
December 31, 2018

Data visualization with scaled options applied

Data visualization with (A) fixed and (B) scaled options applied. Examples of NSM and SCE are also displayed (C and D respectively). The data itself has not changed – only the scaling and statistic selected through the DSAS Data Visualization tool.

Example of a section of DSAS summary report highlighting the use of DSAS_group to organize output statistics.
December 31, 2018

DSAS Summary Report

 Example of a section of DSAS summary report highlighting the use of DSAS_group to organize output statistics.

Map of distribution sediment textures from Nantucket and Marthas Vineyard, Massachusetts
December 31, 2018

Sediment textures distribution from Nantucket and Marthas Vineyard, MA

The distribution of sediment textures within the study area. The bottom-type classification is from Barnhardt and others (1998) and is based on 16 sediment classes. The classification is based on four sediment units that include gravel (G), mud (M), rock (R), and sand (S). If the texture is greater than 90 percent, it is labeled with a single letter. If the composition of

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