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Low-altitude (80-100 meters above ground level) Unmanned Aircraft Systems (UAS) imagery of Town Neck Beach in Sandwich, Massachusetts, were used in a structure-from-motion (SfM) photogrammetry workflow to create high-resolution topographic datasets. Imagery was collected at close to low tide on twelve days to observe changes in beach and dune morphology. Ground control points (GCPs), which are temporary targets on the ground located by using a real-time kinematic global navigation satellite system (RTK-GNSS) base station and rover, were used to constrain the SfM process. Photoscan (v. 1.2-1.4) was used to create a digital elevation model and orthomosaic for each data collection day. Collection of these data was...
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Low-altitude (80-100 meters above ground level) Unmanned Aircraft Systems (UAS) imagery of Town Neck Beach in Sandwich, Massachusetts, were used in a structure-from-motion (SfM) photogrammetry workflow to create high-resolution topographic datasets. Imagery was collected at close to low tide on twelve days to observe changes in beach and dune morphology. Ground control points (GCPs), which are temporary targets on the ground located by using a real-time kinematic global navigation satellite system (RTK-GNSS) base station and rover, were used to constrain the SfM process. Photoscan (v. 1.2-1.4) was used to create a digital elevation model and orthomosaic for each data collection day. Collection of these data was...
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The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast and support local land-use decisions. Trends of shoreline position over long and short-term timescales provide information to landowners, managers, and potential buyers about possible future impacts to coastal resources and infrastructure. In 2001, a 1994 shoreline was added to calculate both long- and short-term shoreline change rates along ocean-facing sections of the Massachusetts coast. In 2013 two oceanfront shorelines for Massachusetts were added using 2008-2009 color aerial orthoimagery and 2007 topographic lidar datasets obtained from NOAA's Ocean Service, Coastal...
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The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast and support local land-use decisions. Trends of shoreline position over long and short-term timescales provide information to landowners, managers, and potential buyers about possible future impacts to coastal resources and infrastructure. In 2001, a 1994 shoreline was added to calculate both long- and short-term shoreline change rates along ocean-facing sections of the Massachusetts coast. In 2013 two oceanfront shorelines for Massachusetts were added using 2008-2009 color aerial orthoimagery and 2007 topographic lidar datasets obtained from NOAA's Ocean Service, Coastal...
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The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast and support local land-use decisions. Trends of shoreline position over long and short-term timescales provide information to landowners, managers, and potential buyers about possible future impacts to coastal resources and infrastructure. In 2001, a 1994 shoreline was added to calculate both long- and short-term shoreline change rates along ocean-facing sections of the Massachusetts coast. In 2013 two oceanfront shorelines for Massachusetts were added using 2008-2009 color aerial orthoimagery and 2007 topographic lidar datasets obtained from NOAA's Ocean Service, Coastal...
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The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast and support local land-use decisions. Trends of shoreline position over long and short-term timescales provide information to landowners, managers, and potential buyers about possible future impacts to coastal resources and infrastructure. In 2001, a 1994 shoreline was added to calculate both long- and short-term shoreline change rates along ocean-facing sections of the Massachusetts coast. In 2013 two oceanfront shorelines for Massachusetts were added using 2008-2009 color aerial orthoimagery and 2007 topographic lidar datasets obtained from NOAA's Ocean Service, Coastal...
The numerical model is built using an high resolution (1m) idealized domain to test the implementation of lateral retreat formulations in the COAWST modeling framework. The lateral retreat is calculated within the model and is based on lateral wave thrust.
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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)...
The western coastline of Alaska spans over 10,000 km of diverse topography ranging from low lying tundra in the north to sharp volcanic relief in the south. Included in this range are areas highly susceptible to powerful storms which can cause coastal flooding, erosion and have many other negative effects on the environment and commercial efforts in the region. In order to better understand the multi-scale and interactive physics of the deep ocean,continental shelf, near shore, and coast, a large unstructured domain hydrodynamic model is being developed using the finite element, free surface circulation code ADCIRC.This model is a high resolution, accurate, and robust computational model of Alaska’s coastal environment...
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Understanding the causes of relative sea level rise requires knowledge of changes to both land (uplift and subsidence) and sea level. However, measurements of coastal uplift or subsidence are almost completely lacking in western Alaska. This project provided precise measurements of prioritized benchmarks across the Western Alaska geography, improving the network of published tidal benchmark elevations, allowing for tidal datum conversion in more places, and providing a necessary component for improved inundation studies in coastal communities and low-lying areas. The project’s map of vertical velocities (uplift/subsidence) of western Alaska (see ‘Final Project Report’ & ‘Vertical Velocity Map’, below) will be combined...
Understanding the causes of relative sea level rise requires knowledge of changes to both land (uplift and subsidence) and sea level. However, measurements of coastal uplift or subsidence are almost completely lacking in western Alaska. This project provided precise measurements of prioritized benchmarks across the Western Alaska geography, improving the network of published tidal benchmark elevations, allowing for tidal datum conversion in more places, and providing a necessary component for improved inundation studies in coastal communities and low-lying areas. The project’s map of vertical velocities (uplift/subsidence) of western Alaska (see ‘Final Project Report’ & ‘Vertical Velocity Map’, below) will be combined...
The compilation of an accurate and contemporary digital shoreline for Alaska is an important step in understanding coastal processes and measuring changes in coastal storm characteristics. Consistent with efforts by the United States National Park Service (NPS) at Bering Land Bridge National Preserve (BELA) and Cape Krusenstern National Monument, high quality, defensible digital shoreline datasets are under development for select coastal parks in the State of Alaska. Near BELA, for the area from Cape Prince of Wales to Cape Espenberg, extended revised shoreline coverage can be produced using true color coastal shoreline imagery to update the boundary demarking the mean high water (MHW) shoreline, which represents...
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A subset of the Louisiana's 2017 Coastal Master Plan model output was used to estimate the potential climate mitigation role of Louisiana’s coastal area. Model output of surface water salinity, land/water classification, and area of eight habitats for elapsed years of 6, 11, 16, 26, and 36 were post-processed to estimate habitat areas at years of 2020, 2025, 2030, 2040, and 2050, that align with the Governor of Louisiana’s greenhouse gas reduction targets. In addition, the Louisiana coastal boundary and a static mask of upland and developed area were used to define the coastal area. The modeled habitat areas with literature review of net ecosystem carbon balance fluxes per habitat were used in an analytical framework...
Well-established conservation planning principles and techniques framed by geodesign were used to assess the restorability of areas that historically supported coastal wetlands along the U.S. shore of Saginaw Bay. The resulting analysis supported planning efforts to identify, prioritize, and track wetland restoration opportunity and investment in the region. To accomplish this, publicly available data, criteria derived from the regional managers and local stakeholders, and geospatial analysis were used to form an ecological model for spatial prioritization.
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This data release presents structure-from-motion (SFM) products derived from aerial imagery surveys with precise Global Navigation Satellite System (GNSS) navigation data flown in a piloted fixed wing aircraft taken along the North Carolina coast in response to Hurricane Florence (available here https://coastal.er.usgs.gov/data-release/doi-P91KB9SF/). USGS researchers use the elevation models and orthorectified imagery to assess future coastal vulnerability, nesting habitats for wildlife, and provide data for hurricane impact models. The products span the coast over both highly developed towns and natural areas, including federal lands. These products represent the coast after Hurricane Florence and cover the Cape...
Prior research has shown that sediment budgets, and therefore stability, of microtidal marsh complexes scale with areal unvegetated to vegetated marsh ratios (UVVR) suggesting these metrics are broadly applicable indicators of microtidal marsh vulnerability. This effort has developed the UVVR metric using Landsat 8 satellite imagery for the coastal areas of the contiguous United States (CONUS). These datasets provide annual averages of 1) developed, 2) vegetated, 3) unvegetated fractional covers and 4) an unvegetated to vegetated ratio (UVVR) at 30-meter resolution over the coastal areas of the contiguous United States for the years 2014-2018. Additionally, multi-year average values of vegetated fractional cover...
Prior research has shown that sediment budgets, and therefore stability, of microtidal marsh complexes scale with areal unvegetated to vegetated marsh ratios (UVVR) suggesting these metrics are broadly applicable indicators of microtidal marsh vulnerability. This effort has developed the UVVR metric using Landsat 8 satellite imagery for the coastal areas of the contiguous United States (CONUS). These datasets provide annual averages of 1) developed, 2) vegetated, 3) unvegetated fractional covers and 4) an unvegetated to vegetated ratio (UVVR) at 30-meter resolution over the coastal areas of the contiguous United States for the years 2014-2018. Additionally, multi-year average values of vegetated fractional cover...
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This portion of the data release presents the raw aerial imagery collected during the unmanned aerial system (UAS) survey of the intertidal zone at West Whidbey Island, WA, on 2019-06-04. The imagery was acquired using a Department of Interior-owned 3DR Solo quadcopter fitted with a Ricoh GR II digital camera featuring a global shutter. Flights using both a nadir camera orientation and an oblique camera orientation were conducted. For the nadir flights (F04, F05, F06, F07, and F08), the camera was mounted using a fixed mount on the bottom of the UAS and oriented in an approximately nadir orientation. The UAS was flown on pre-programmed autonomous flight lines at an approximate altitude of 70 meters above ground...
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This portion of the data release presents a digital surface model (DSM) and hillshade image of the intertidal zone at West Whidbey Island, WA. The DSM has a resolution of 4 centimeters per pixel and was derived from structure-from-motion (SfM) processing of aerial imagery collected with an unmanned aerial system (UAS) on 2019-06-04. Unlike a digital elevation model (DEM), the DSM represents the elevation of the highest object within the bounds of a cell. Vegetation, buildings and other objects have not been removed from the data. In addition, data artifacts resulting from noise in the original imagery have not been removed. The raw imagery used to create the DSM was acquired using a UAS fitted with a Ricoh GR II...
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This dataset consists of physics-based Delft3D model and Delwaq model input files used in modeling sediment deposition and concentrations around the coral reefs of west Maui, Hawaii. The Delft3D models were used to simulate waves and currents under small (SC1) and large (‘SC2’) wave conditions for current stream discharge (‘Alt1’) and stream discharge with watershed restoration (‘Alt3’). Delft3D model results were subsequently used as forcing conditions for Delwaq models to simulate sediment transport and dispersion. The Delwaq models were used to simulate sediment transport and concentrations under the same two wave and stream discharge scenarios. The Delwaq models were run using forcing conditions generated by...


map background search result map search result map Digital surface model (DSM) for the intertidal zone at West Whidbey Island, WA, 2019-06-04 Aerial imagery from UAS survey of the intertidal zone at West Whidbey Island, WA, 2019-06-04 Standard deviation of the vegetated fraction in coastal wetlands along the U.S. Gulf of Mexico Coast (16-bit GeoTIFF) Standard deviation of the vegetated fraction in coastal wetlands along the U.S. Pacific Coast (16-bit GeoTIFF) Post-Hurricane Florence RGB averaged orthoimagery of coastal North Carolina Town Neck Beach, Massachusetts, 10 cm 2016-2017 Digital Elevation Models Town Neck Beach, Massachusetts, 5 cm 2016-2017 Orthomosaics Intersects for the coastal region around Boston, Massachusetts, generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.1 Intersects for coastal region of Buzzards Bay, Massachusetts, generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.1 Long-term and short-term shoreline change rates for the region of Buzzards Bay, Massachusetts, calculated with and without the proxy-datum bias using the Digital Shoreline Analysis System version 5.1 Intersects for coastal region of Cape Cod Bay, Massachusetts, generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.1 Model parameter input files to compare effects of stream discharge scenarios on sediment deposition and concentrations around coral reefs off west Maui, Hawaii A subset of 2017 Louisiana Coastal Master Plan model output to estimate climate change mitigation potential of Louisiana’s coastal area Long-term shoreline change rate transects for the South Carolina coastal region, calculated with and without the proxy-datum bias using the Digital Shoreline Analysis System version 5.1 Aerial imagery from UAS survey of the intertidal zone at West Whidbey Island, WA, 2019-06-04 Digital surface model (DSM) for the intertidal zone at West Whidbey Island, WA, 2019-06-04 Town Neck Beach, Massachusetts, 10 cm 2016-2017 Digital Elevation Models Town Neck Beach, Massachusetts, 5 cm 2016-2017 Orthomosaics Intersects for the coastal region around Boston, Massachusetts, generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.1 Intersects for coastal region of Buzzards Bay, Massachusetts, generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.1 Long-term and short-term shoreline change rates for the region of Buzzards Bay, Massachusetts, calculated with and without the proxy-datum bias using the Digital Shoreline Analysis System version 5.1 Intersects for coastal region of Cape Cod Bay, Massachusetts, generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.1 Long-term shoreline change rate transects for the South Carolina coastal region, calculated with and without the proxy-datum bias using the Digital Shoreline Analysis System version 5.1 Post-Hurricane Florence RGB averaged orthoimagery of coastal North Carolina A subset of 2017 Louisiana Coastal Master Plan model output to estimate climate change mitigation potential of Louisiana’s coastal area Standard deviation of the vegetated fraction in coastal wetlands along the U.S. Pacific Coast (16-bit GeoTIFF) Standard deviation of the vegetated fraction in coastal wetlands along the U.S. Gulf of Mexico Coast (16-bit GeoTIFF)