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In coastal areas of the United States, where water and land interface in complex and dynamic ways, it is common to find concentrated residential and commercial development. These coastal areas often contain various landholdings managed by Federal, State, and local municipal authorities for public recreation and conservation. These areas are frequently subjected to a range of natural hazards, which include flooding and coastal erosion. In response, the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data to calculate rates of shoreline change along the conterminous coast of the United States, and select coastlines of Alaska and Hawaii, as part of the Coastal Change Hazards priority...
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Twenty-four piston cores (and associated trigger cores) were collected from the source zone of the Currituck Landslide Complex and upper slope adjacent to Baltimore Canyon by the U.S. Geological Survey and the University of Rhode Island Department of Ocean Engineering during an eight-day cruise aboard the R/V Hugh R. Sharp in September/October of 2012. These cores were analyzed for evidence of seafloor mass transport processes, with an emphasis on constraining the age and shallow stratigraphy of the landslide complex. Sedimentological and geotechnical characterization of the cores was carried out through whole core imaging and description, followed by analysis of discrete samples at the USGS Woods Hole Coastal and...
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The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. This data release includes two new mean high water (MHW) shorelines extracted from lidar data collected in 2010 and 2017-2018. Previously published historical shorelines for South Carolina (Kratzmann and others, 2017)...
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The purpose of this field data collection was to test and compare the OceanInsight HDX Mini Spectrometer as an accessible alternative against the more expensive ASD Fieldspec for collecting ground-based hyperspectral reflectance profiles for landcover analysis. The data collection took place in Dog Head Marsh and South Cape Beach within the Waquoit Bay National Estuarine Research Reserve (WBNERR). The hyperspectral profiles were collected side-by-side with both field-spectrometers using comparable sensor collection settings for various ground cover samples. The terrain and vegetation type of these sample were described as well as surveyed using Real Time Kinematic Global Positioning System (RTK-GPS). This data...
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Geologic structure and isopach maps were constructed by interpreting over 19.890 trackline kilometers of co-located multichannel boomer, sparker and chirp seismic reflection profiles from the continental shelf of the Delmarva Peninsula, including Maryland and Virginia state waters. In this region, Brothers and others (2020) interpret 12 seismic units and 11 regional unconformities. They interpret the infilled channels as Late Tertiary and Quaternary courses of the Susquehanna, Potomac, Rappahannock, York and James Rivers and tributaries, in addition to a broad drainage system. These regional unconformities form a composite unconformity interpreted as the Quaternary-Tertiary (Q-T) unconformity. A depth to Tertiary...
Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: 32-bit GeoTIFF, Applied Acoustics S-Boom Source, Assateague Island, Assateague Island National Seashore, Atlantic Ocean, All tags...
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The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. This data release includes a compilation of previously published historical shoreline positions for Virginia spanning 148 years (1849-1997), and two new mean high water (MHW) shorelines extracted from lidar data collected...
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Twenty-four piston cores (and associated trigger cores) were collected from the source zone of the Currituck Landslide Complex and upper slope adjacent to Baltimore Canyon by the U.S. Geological Survey and the University of Rhode Island Department of Ocean Engineering during an eight-day cruise aboard the R/V Hugh R. Sharp in September/October of 2012. These cores were analyzed for evidence of seafloor mass transport processes, with an emphasis on constraining the age and shallow stratigraphy of the landslide complex. Sedimentological and geotechnical characterization of the cores was carried out through whole core imaging and description, followed by analysis of discrete samples at the USGS Woods Hole Coastal and...
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Low-altitude (30-120 meters above ground level) digital images of Town Neck Beach in Sandwich, Massachusetts, were obtained with a series of cameras mounted on small unmanned aerial systems (UAS, also known as a drone). Imagery was collected at close to low tide on five days to observe changes in beach and dune morphology. The images were geolocated by using the single-frequency geographic positioning system aboard the UAS. Ground control points (GCPs) were established by using temporary targets on the ground, which were located by using a real-time kinematic global navigation satellite system (RTK-GNSS) base station and rovers. The GCPs can be used as constraints during photogrammetric processing. Transect points...
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This data release supersedes version 1.0, published in September 2022 at https://doi.org/10.5066/P9XEFRYR. Versioning details are documented in the accompanying Dunex_revision_history.txt file. These data provide grain-size measurements from sediment samples collected as part of the USGS DUring Nearshore Event eXperiment (DUNEX) site on Pea Island National Wildlife Refuge, NC. DUNEX is a multi-agency, academic, and non-governmental organization collaborative community experiment designed to study nearshore coastal processes during storm events. USGS participation in DUNEX will contribute new measurements and models that will increase our understanding of storm impacts to coastal environments, including hazards...
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In coastal areas of the United States, where water and land interface in complex and dynamic ways, it is common to find concentrated residential and commercial development. These coastal areas often contain various landholdings managed by Federal, State, and local municipal authorities for public recreation and conservation. These areas are frequently subjected to a range of natural hazards, which include flooding and coastal erosion. In response, the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data to calculate rates of shoreline change along the conterminous coast of the United States, and select coastlines of Alaska and Hawaii, as part of the Coastal Change Hazards priority...
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In coastal areas of the United States, where water and land interface in complex and dynamic ways, it is common to find concentrated residential and commercial development. These coastal areas often contain various landholdings managed by Federal, State, and local municipal authorities for public recreation and conservation. These areas are frequently subjected to a range of natural hazards, which include flooding and coastal erosion. In response, the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data to calculate rates of shoreline change along the conterminous coast of the United States, and select coastlines of Alaska and Hawaii, as part of the Coastal Change Hazards priority...
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In coastal areas of the United States, where water and land interface in complex and dynamic ways, it is common to find concentrated residential and commercial development. These coastal areas often contain various landholdings managed by Federal, State, and local municipal authorities for public recreation and conservation. These areas are frequently subjected to a range of natural hazards, which include flooding and coastal erosion. In response, the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data to calculate rates of shoreline change along the conterminous coast of the United States, and select coastlines of Alaska and Hawaii, as part of the Coastal Change Hazards priority...
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The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. This data release includes two new mean high water (MHW) shorelines extracted from lidar data collected in 2010 and 2017-2018. Previously published historical shorelines for South Carolina (Kratzmann and others, 2017)...
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The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. This data release includes one new mean high water (MHW) shoreline extracted from lidar data collected in 2017 for the entire coastal region of North Carolina which is divided into four subregions: northern North Carolina...
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Low-altitude (70 m above ground level) aerial images were collected over five areas of interest within the northern portion of Assateague Island National Seashore (ASIS) in mid-October, 2022. These images were collected to generate photogrammetric products (e.g. digital surface model (DSM), reflectance orthomosaic) to support science and data needs of National Park managers attempting to locate invasive Phragmites australis expansion. A DJI Matrice 600 uncrewed aircraft system (UAS) was equipped with a MicaSense Altum-PT multispectral camera and a Ricoh GRII true-color RGB camera to collect images simultaneously with sufficient overlap for photogrammetric processing. Ground control points (GCPs), black and white...
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RGB-averaged orthoimages were created from aerial imagery collected May 08 and 09, 2020, along the North Carolina coast between the Virginia-North Carolina border vicinity and Cape Lookout, North Carolina. These RGB-averaged orthoimages were created to document recovery ground conditions after Hurricane Dorian, which made landfall on the North Carolina coast on September 6, 2019. The RGB-averaged orthoimages help researchers document inter-annual changes in shoreline position and coastal morphology in response to storm events using aerial imagery collections and a structure from motion (SFM) workflow. These data can be used with geographic information systems or other software to identify topographic and shallow-water...
Tags: Atlantic Ocean, Bathymetry and Elevation, Beaufort Inlet, CMHRP, Cape Hatteras, All tags...
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Digital elevation models (DEMs) were created from aerial imagery collected October 11, 2019, along the North Carolina coast between the Virginia-North Carolina border vicinity and Cape Lookout, North Carolina. These DEMs were created to document ground conditions one-month after Hurricane Dorian, which made landfall on the North Carolina coast on September 6, 2019. The DEMs help researchers estimate the land surface one-month post-Hurricane Dorian and were created to document inter-annual changes in shoreline position and coastal morphology in response to storm events using aerial imagery collections and a structure from motion (SFM) workflow. These data can be used with geographic information systems or other software...
Tags: Atlantic Ocean, Bathymetry and Elevation, Beaufort Inlet, CMHRP, Cape Hatteras, All tags...
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Sandy ocean beaches are a popular recreational destination, often surrounded by communities containing valuable real estate. Development is on the rise despite the fact that coastal infrastructure is subjected to flooding and erosion. As a result, there is an increased demand for accurate information regarding past and present shoreline changes. To meet these national needs, the Coastal and Marine Geology Program of the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data along open-ocean sandy shores of the conterminous United States and parts of Alaska and Hawaii under the National Assessment of Shoreline Change project.There is no widely accepted standard for analyzing shoreline...
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Sandy ocean beaches are a popular recreational destination, often surrounded by communities containing valuable real estate. Development is on the rise despite the fact that coastal infrastructure is subjected to flooding and erosion. As a result, there is an increased demand for accurate information regarding past and present shoreline changes. To meet these national needs, the Coastal and Marine Geology Program of the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data along open-ocean sandy shores of the conterminous United States and parts of Alaska and Hawaii under the National Assessment of Shoreline Change project.There is no widely accepted standard for analyzing shoreline...
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The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. This data release includes two new mean high water (MHW) shorelines extracted from lidar data collected in 2010 and 2017-2018. Previously published historical shorelines for South Carolina (Kratzmann and others, 2017)...


map background search result map search result map OR Long Term Shoreline Change WA Long Term Shoreline Change Geotagged Low-Altitude Aerial Imagery From Unmanned Aerial System Flights Over Town Neck Beach, in Sandwich, Massachusetts, on 2016-03-30 Digital elevation models (DEMs) of coastal North Carolina, on 2019-10-11, one month Post-Hurricane Dorian RGB-averaged orthoimagery of coastal North Carolina, from 2020-05-08 to 2020-05-09 Intersects for the coastal region of Virginia generated to calculate long-term shoreline change rates using the Digital Shoreline Analysis System version 5.1 Locations of sediment cores from the Currituck Landslide Complex and upper slope adjacent to Baltimore Canyon collected on USGS Field Activity 2012-007-FA X-radiographs of sediment cores from the Currituck Landslide Complex and upper slope adjacent to Baltimore Canyon collected on USGS Field Activity 2012-007-FA Thickness of Quaternary seismic stratigraphic units offshore of the Delmarva Peninsula, including Maryland and Virginia state waters True-color aerial imagery collected during uncrewed aircraft systems (UAS) operations: Assateague Island National Seashore (ASIS), MD, October 10 - 14, 2022 2017-2018 lidar-derived mean high water shoreline for the coast of South Carolina 2010 lidar-derived mean high water shoreline for the coast of South Carolina SC Bias Feature – Feature class containing South Carolina proxy-datum bias information to be used in the Digital Shoreline Analysis System Baseline for the Central California coastal region generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.0 Intersects for the Central California coastal region generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.0 Long-term shoreline change rates for the Central California coastal region using the Digital Shoreline Analysis System version 5.0 Long-term shoreline change rates for the Northern California coastal region using the Digital Shoreline Analysis System version 5.0 Ground reference data and photos collected during uncrewed aircraft systems (UAS) operations - Dog Head Marsh at South Cape Beach, Mashpee, MA, October 7 - 8, 2021 2017 lidar-derived mean high water shoreline for the coast of North Carolina from the Virginia border to Cape Hatteras (NCnorth) Grain-size analysis data of sediment samples from the beach and nearshore environments at the Pea Island National Wildlife Refuge DUNEX site, North Carolina in 2021 Ground reference data and photos collected during uncrewed aircraft systems (UAS) operations - Dog Head Marsh at South Cape Beach, Mashpee, MA, October 7 - 8, 2021 Grain-size analysis data of sediment samples from the beach and nearshore environments at the Pea Island National Wildlife Refuge DUNEX site, North Carolina in 2021 Geotagged Low-Altitude Aerial Imagery From Unmanned Aerial System Flights Over Town Neck Beach, in Sandwich, Massachusetts, on 2016-03-30 True-color aerial imagery collected during uncrewed aircraft systems (UAS) operations: Assateague Island National Seashore (ASIS), MD, October 10 - 14, 2022 X-radiographs of sediment cores from the Currituck Landslide Complex and upper slope adjacent to Baltimore Canyon collected on USGS Field Activity 2012-007-FA 2017 lidar-derived mean high water shoreline for the coast of North Carolina from the Virginia border to Cape Hatteras (NCnorth) Intersects for the coastal region of Virginia generated to calculate long-term shoreline change rates using the Digital Shoreline Analysis System version 5.1 WA Long Term Shoreline Change Digital elevation models (DEMs) of coastal North Carolina, on 2019-10-11, one month Post-Hurricane Dorian Locations of sediment cores from the Currituck Landslide Complex and upper slope adjacent to Baltimore Canyon collected on USGS Field Activity 2012-007-FA RGB-averaged orthoimagery of coastal North Carolina, from 2020-05-08 to 2020-05-09 Thickness of Quaternary seismic stratigraphic units offshore of the Delmarva Peninsula, including Maryland and Virginia state waters OR Long Term Shoreline Change 2010 lidar-derived mean high water shoreline for the coast of South Carolina 2017-2018 lidar-derived mean high water shoreline for the coast of South Carolina SC Bias Feature – Feature class containing South Carolina proxy-datum bias information to be used in the Digital Shoreline Analysis System Long-term shoreline change rates for the Northern California coastal region using the Digital Shoreline Analysis System version 5.0 Intersects for the Central California coastal region generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.0 Long-term shoreline change rates for the Central California coastal region using the Digital Shoreline Analysis System version 5.0 Baseline for the Central California coastal region generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.0