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DCpts, DTpts, SLpts: Dune crest, dune toe, and mean high water shoreline positions: Fire Island, NY, 2010 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Ocean, Barrier Island, CMGP, Coastal Hazards, Coastal and Marine Geology Program, All tags... Fire Island, Fire Island, Fire Island National Seashore, Fire Island National Seashore, GIS, Geographic Information Systems, Long Island, MHW, Mean High Water, NY, New York, North America, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, Woods Hole Coastal and Marine Science Center, geomorphology, geoscientificInformation, geospatial analysis, geospatial datasets, oceans, transect sampling, Fewer tags DCpts, DTpts, SLpts: Dune crest, dune toe, and mean high water shoreline positions: Fire Island, NY, 2012 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Ocean, Barrier Island, CMGP, Coastal Hazards, Coastal and Marine Geology Program, All tags... Fire Island, Fire Island, Fire Island National Seashore, Fire Island National Seashore, GIS, Geographic Information Systems, Long Island, MHW, Mean High Water, NY, New York, North America, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, Woods Hole Coastal and Marine Science Center, geomorphology, geoscientificInformation, geospatial analysis, geospatial datasets, oceans, transect sampling, Fewer tags points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Edwin B. Forsythe NWR, NJ, 2013–2014 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, Raster, Shapefile; Tags: Atlantic Ocean, Barrier Island, Bayesian Network, CMGP, Coastal Erosion, All tags... Coastal Habitat, Coastal Hazards, Coastal and Marine Geology Program, Coastal processes, Edwin B. Forsythe NWR, Edwin B. Forsythe NWR, Erosion, GIS, Geographic Information Systems, Long Beach Island, Long Beach Island, MHW, Mean High Water, NJ, New Jersey, North America, Probability, Pullen Island, Sea Level Rise, Sea-level change, Shoreline Change, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, Woods Hole Coastal and Marine Science Center, coastal processes, environment, erosion, geographic information systems, geomorphology, geoscientificInformation, geospatial analysis, geospatial datasets, hazards, hazards, land use and land cover, sea-level change, transect sampling, Fewer tags Long and short-term shoreline intersect points for the western coast of North Carolina (NCwest), calculated using the Digital Shoreline Analysis System version 5.1 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... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Coast, DSAS, Digital Shoreline Analysis System, North America, North Carolina, All tags... Shoreline Change, Southeast Atlantic, U.S. Geological Survey, USGS, United States, WHCMSC, Woods Hole Coastal and Marine Science Center, accretion, coastal processes, environment, erosion, erosion, geoscientificInformation, geospatial datasets, long-term change, oceans, shoreline accretion, Fewer tags Intersects for the Southern California coastal region generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.0 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... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: CMGP, California, CenCal, Central California, Coastal and Marine Geology Program, All tags... DSAS, Digital Shoreline Analysis System, Intersect points, Intersects, NorCal, North America, Northern California, Pacific Coast, Shoreline, Shoreline Change, SoCal, Southern California, U.S. Geological Survey, USGS, United States, WHCMSC, Woods Hole Coastal and Marine Science Center, coastal processes, environment, geoscientificInformation, geospatial datasets, oceans, Fewer tags Shorelines of the Central California coastal region (1852-2016) used in shoreline change analysis 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... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Baseline, CMGP, California, CenCal, Central California, All tags... Coastal and Marine Geology Program, DSAS, Digital Shoreline Analysis System, HWL, High Water Line, JALBTCX, Joint Airborne Lidar Bathymetry Technical Center of eXpertise, MHW, Mean High Water, NASA, NOAA, National Aeronautics and Space Administration, National Oceanic and Atmospheric Administration, NorCal, North America, Northern California, Pacific Coast, Shoreline, Shoreline Change, SoCal, Southern California, U.S. Army Corps of Engineers, U.S. Geological Survey, USACE, USGS, United States, WHCMSC, Woods Hole Coastal and Marine Science Center, coastal processes, environment, geoscientificInformation, geospatial datasets, oceans, Fewer tags 2017 lidar-derived mean high water shoreline for the coast of North Carolina from Cape Hatteras to Cape Lookout (NCcentral) 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... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Coast, DSAS, Digital Shoreline Analysis System, MHW, Mean High Water, All tags... North Carolina, Shoreline, Shoreline Change, U.S. Geological Survey, USGS, United States, WHCMSC, Woods Hole Coastal and Marine Science Center, coastal processes, environment, geoscientificInformation, geospatial datasets, oceans, Fewer tags Mean tidal range of marsh units in Eastern Shore of Virginia salt marshes This data release contains coastal wetland synthesis products for the Atlantic-facing Eastern Shore of Virginia (the data release for the Chesapeake Bay-facing portion of the Eastern Shore of Virginia is found here: https://doi.org/10.5066/P997EJYB). Metrics for resiliency, including unvegetated to vegetated ratio (UVVR), marsh elevation, and tidal range are calculated for smaller units delineated from a digital elevation model, providing the spatial variability of physical factors that influence wetland health. The U.S. Geological Survey has been expanding national assessment of coastal change hazards and forecast products to coastal wetlands with the intent of providing federal, state, and local managers with... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Ocean, Cedar Island, Chincoteague National Wildlife Refuge, Eastern Shore National Wildlife Refuge, Fisherman Island National Wildlife Refuge, All tags... Hog Island, Metompkin Island, Mockhorn Island, Parramore Island, Smith Island, United States, Virginia, Virginia Coast Reserve, Wallops Island, coastal ecosystems, coastal processes, environment, estuary, geospatial datasets, inlandWaters, marsh health, oceans, salt marsh, tidal range, tides (oceanic), vegetation, wetland ecosystems, wetland functions, Fewer tags Intersects for the coastal region of South Carolina generated to calculate long-term shoreline change rates using the Digital Shoreline Analysis System version 5.1 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)... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Coast, DSAS, Digital Shoreline Analysis System, North America, Shoreline Change, All tags... South Carolina, Southeast Atlantic, U.S. Geological Survey, USGS, United States, WHCMSC, Woods Hole Coastal and Marine Science Center, accretion, coastal processes, environment, erosion, erosion, geoscientificInformation, geospatial datasets, long-term change, oceans, shoreline accretion, Fewer tags U.S. Geological Survey simulations of hydrodynamics and morphodynamics in Cape Cod Bay, MA: Sandwich Jan - April 2021 The Coupled Ocean-Atmosphere-Wave-Sediment Transport (COAWST; Warner and others, 2019; Warner and others, 2010) model was used to simulate ocean circulation, waves, and sediment transport in Cape Cod Bay, MA. Larger scale simulations of the US East Coast (Warner and Kalra, 2022) were used to drive numerical grids covering the Gulf of Maine (~1000m resolution) with a two-way nested downscaled region into Cape Cod Bay (~250m resolution). Results were analyzed to investigate bay-scale dynamics of net transport, seafloor elevation changes, and net sediment fluxes. Those results were further used to drive a coastal scale grid that stretched along ~17km of the coast from the Cape Cod Canal to Sandy Neck Beach. This nearshore... Categories: Data; Types: Map Service, NetCDF OPeNDAP Service, OGC WMS Layer; Tags: CMG_Portal, Earth Science > Human Dimensions > Natural Hazards > Floods, Earth Science > Oceans > Marine Sediments >Sediment Transport, Earth Science > Oceans > Ocean Circulation > Ocean Currents, Earth Science > Oceans > Ocean Temperature > Potential Temperature, All tags... Earth Science > Oceans > Salinity/Density > Salinity, Earth Science > Oceans > Sea Surface Topography > Sea Surface Height, Earth Science Services > Models > Weather Research/Forecast Models, Location > Continent > North America > United States Of America, Location > Continent > North America > United States Of America > New Jersey, U.S. Geological Survey - ScienceBase, barotropic_sea_water_x_velocity, barotropic_sea_water_y_velocity, climatologyMeteorologyAtmosphere, coastal processes, dataset, latitude, longitude, numerical modeling, ocean_s_coordinate_g2, ocean_sigma_coordinate, sea_surface_height_above_geopotential_datum, sea_surface_wave_significant_height, sea_water_potential_temperature, sea_water_salinity, sea_water_x_velocity, sea_water_y_velocity, sediment transport, sediment_bed_thickness, service, time, upward_sea_water_velocity, Fewer tags Beach foreshore slope for the West Coast of the United States This data release contains foreshore slopes for primarily open-ocean sandy beaches along the west coast of the United States (California, Oregon and Washington). The slopes were calculated while extracting shoreline position from lidar point cloud data collected between 2002 and 2011. The shoreline positions have been previously published, but the slopes have not. A reference baseline was defined and then evenly-spaced cross-shore beach transects were created. Then all data points within 1 meter of each transect were associated with each transect. Next, it was determined which points were one the foreshore, and then a linear regression was fit through the foreshore points. Beach slope was defined as the slope of... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: California, Coastal and Marine Hazards and Resources Program, Coastal processes, MHW, Mean High Water, All tags... Oregon, Pacific Coast, U.S. Geological Survey, USGS, United States, WHCMSC, Washington, Woods Hole Coastal and Marine Science Center, beach slope, environment, foreshore, geoscientificInformation, geospatial datasets, oceans, shoreline, Fewer tags Short-term shoreline change rates for the Florida east coast (FLec) coastal region using the Digital Shoreline Analysis System version 5 During Hurricane Irma in September 2017, Florida and Georgia experienced significant impacts to beaches, dunes, barrier islands, and coral reefs. Extensive erosion and coral losses result in increased immediate and long-term hazards to shorelines that include densely populated regions. These hazards put critical infrastructure at risk to future flooding and erosion and may cause economic losses. The USGS Coastal and Marine Hazards Resources Program (CMHRP) is assessing hurricane-induced coastal erosion along the southeast US coastline and implications for vulnerability to future storms. Shoreline positions were compiled prior to and following Hurricane Irma along the sandy shorelines of the Gulf of Mexico and Atlantic... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Accretion, Atlantic Coast, CMGP, Coastal and Marine Geology Program, DSAS, All tags... Digital Shoreline Analysis System, EPR, End point rate, Erosion, Florida, Georgia, Gulf Coast, Historical Shoreline, LRR, Linear Regression Rate, Long-term shoreline change rate, North America, PDB, Proxy-Datum bias, Shoreline, Shoreline change rate, Short-term shoreline change rate, Transect, U.S. Geological Survey, USGS, United States, WHCMSC, Woods Hole Coastal and Marine Science Center, coastal processes, environment, geoscientificInformation, geospatial datasets, oceans, Fewer tags Long-term shoreline change rates for the Florida east coast (FLec) coastal region using the Digital Shoreline Analysis System version 5 During Hurricane Irma in September 2017, Florida and Georgia experienced significant impacts to beaches, dunes, barrier islands, and coral reefs. Extensive erosion and coral losses result in increased immediate and long-term hazards to shorelines that include densely populated regions. These hazards put critical infrastructure at risk to future flooding and erosion and may cause economic losses. The USGS Coastal and Marine Hazards Resources Program (CMHRP) is assessing hurricane-induced coastal erosion along the southeast US coastline and implications for vulnerability to future storms. Shoreline positions were compiled prior to and following Hurricane Irma along the sandy shorelines of the Gulf of Mexico and Atlantic... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Accretion, Atlantic Coast, CMGP, Coastal and Marine Geology Program, DSAS, All tags... Digital Shoreline Analysis System, EPR, End point rate, Erosion, Florida, Georgia, Gulf Coast, Historical Shoreline, LRR, Linear Regression Rate, Long-term shoreline change rate, North America, PDB, Proxy-Datum bias, Shoreline, Shoreline change rate, Short-term shoreline change rate, Transect, U.S. Geological Survey, USGS, United States, WHCMSC, Woods Hole Coastal and Marine Science Center, coastal processes, environment, geoscientificInformation, geospatial datasets, oceans, Fewer tags Long-term shoreline change rates for the Florida panhandle (FLph) coastal region using the Digital Shoreline Analysis System version 5 During Hurricane Irma in September 2017, Florida and Georgia experienced significant impacts to beaches, dunes, barrier islands, and coral reefs. Extensive erosion and coral losses result in increased immediate and long-term hazards to shorelines that include densely populated regions. These hazards put critical infrastructure at risk to future flooding and erosion and may cause economic losses. The USGS Coastal and Marine Hazards Resources Program (CMHRP) is assessing hurricane-induced coastal erosion along the southeast US coastline and implications for vulnerability to future storms. Shoreline positions were compiled prior to and following Hurricane Irma along the sandy shorelines of the Gulf of Mexico and Atlantic... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Accretion, Atlantic Coast, CMGP, Coastal and Marine Geology Program, DSAS, All tags... Digital Shoreline Analysis System, EPR, End point rate, Erosion, Florida, Georgia, Gulf Coast, Historical Shoreline, LRR, Linear Regression Rate, Long-term shoreline change rate, North America, PDB, Proxy-Datum bias, Shoreline, Shoreline change rate, Short-term shoreline change rate, Transect, U.S. Geological Survey, USGS, United States, WHCMSC, Woods Hole Coastal and Marine Science Center, coastal processes, environment, geoscientificInformation, geospatial datasets, oceans, Fewer tags Wave thrust values at point locations along the shorelines of Massachusetts and Rhode Island This product provides spatial variations in wave thrust along shorelines in Massachusetts and Rhode Island. Natural features of relevance along the State coast are salt marshes. In recent times, marshes have been eroding primarily through lateral erosion. Wave thrust represents a metric of wave attack acting on marsh edges. The wave thrust is calculated as the vertical integral of the dynamic pressure of waves. This product uses a consistent methodology with sufficient spatial resolution to include the distinct features of each marsh system. Waves under different climatological wind forcing conditions were simulated using the coupled ADCIRC/SWAN model system. The estuarine and bay areas are resolved with horizontal... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Coastal Wetlands, Coastal processes, Geomorphology, Massachusetts, Mathematical modeling, All tags... Ocean waves, Rhode Island, Salt marsh, Shoreline, United States of America, Vulnerability, Wave attack, Wave thrust, biota, wetland ecosystems, Fewer tags 2018 mean high water shoreline of the coast of MA used in shoreline change analysis The U.S. Geological Survey, in cooperation with the Massachusetts Office of Coastal Zone Management compiled Massachusetts vector shorelines into an updated dataset for the Office’s Shoreline Change Project. The Shoreline Change Project started in 1989 to identify erosion-prone areas of the Massachusetts coast by compiling a database of historical shoreline positions. Trends of shoreline position over long- and short-term timescales provide information to landowners, managers, and potential buyers about possible future changes to costal resources and infrastructure. This updated dataset strengthens the understanding of shoreline position change in Massachusetts. It includes U.S. Geological Survey vector shorelines... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Coast, Coastal and Marine Geology Program, DSAS, Digital Shoreline Analysis System, MA CZM, All tags... MHW, Massachusetts, Massachusetts Coastal Zone Management, Massachusetts Shoreline Change Project, Mean High Water, National Assessment of Shoreline Change Project, New England, Shoreline, Shoreline Change, U.S. Geological Survey, USGS, United States, WHCMSC, Woods Hole Coastal and Marine Science Center, coastal processes, environment, geoscientificInformation, geospatial datasets, oceans, Fewer tags Baseline for the coast of Puerto Rico's main island generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.1 (ver. 2.0, March 2023) The U.S. Geological Survey (USGS) maintains shoreline positions for the United States' coasts from both older sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the USGS Digital Shoreline Analysis System (DSAS), version 5.1 software to calculate rates of change. Keeping a record of historical shoreline positions is an effective method to monitor change over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers understand which areas of the coast are vulnerable to change. This data release, and other associated... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Coast, Baseline, CMGP, Caribbean, Coastal Research and Planning Institute of Puerto Rico, All tags... Coastal and Marine Geology Program, DSAS, Digital Shoreline Analysis System, Puerto Rico, Puerto Rico Shoreline Change, Shoreline, Shoreline Change, U.S. Geological Survey, USGS, United States, University of Puerto Rico, University of Puerto Rico Graduate School of Planning, WHCMSC, Woods Hole Coastal and Marine Science Center, coastal processes, environment, geoscientificInformation, geospatial datasets, oceans, Fewer tags Collection, analysis, and age-dating of sediment cores from mangrove wetlands in San Juan Bay Estuary, Puerto Rico, 2016 The San Juan Bay Estuary, Puerto Rico, contains mangrove forests that store significant amounts of organic carbon in soils and biomass. There is a strong urbanization gradient across the estuary, from the highly urbanized and clogged Caño Martin Peña in the western part of the estuary, a series of lagoons in the center of the estuary, and a tropical forest reserve (Piñones) in the easternmost part with limited urbanization. We collected sediment cores to determine carbon burial rates and vertical sediment accretion from five sites in the San Juan Bay Estuary. Cores were radiometrically-dated using lead-210 and the Plum age model. Sites had soil C burial rates ranging from 50 grams per meter squared per year (g m-2... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 137-cesium, 210-lead, Caño de Martín Peña (1613013), Commonwealth of Puerto Rico (1779808), Geochemistry, All tags... Laguna La Torrecilla (1611340), Laguna San José (1611343), Laguna de Pinoñes (1611336), Plum age model, San Juan (1612697), United States of America (1890467), accretion rate, age model, carbon, carbon burial, carbon isotope analysis, ecological restoration, environment, geoscientificInformation, health, mangrove sediments, nitrogen, oceans, radiometric dating, sea-level change, sedimentation, soil chemistry, utilitiesCommunication, wetland ecosystems, wetland soils, wetlands, Fewer tags Development: Development delineation: Edwin B. Forsythe NWR, NJ, 2012 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Ocean, Barrier Island, CMGP, Coastal Armoring, Coastal Habitat, All tags... Coastal Hazards, Coastal and Marine Geology Program, Edwin B. Forsythe NWR, Edwin B. Forsythe NWR, GIS, Geographic Information Systems, Human Development, Long Beach Island, Long Beach Island, NJ, New Jersey, North America, Pullen Island, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, Woods Hole Coastal and Marine Science Center, environment, geospatial datasets, land use and land cover, Fewer tags Long-term and short-term shoreline change rates for Outer Cape Cod, Massachusetts, calculated with and without the proxy-datum bias using the Digital Shoreline Analysis System version 5.1 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... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Accretion, Atlantic Coast, Baseline, CMGP, Cape Cod, All tags... Coastal and Marine Geology Program, DSAS, Digital Shoreline Analysis System, Erosion, Esri polyline shapefile, Historical Shoreline, LRR, Linear Regression Rate, Long-term, Massachusetts, Massachusetts Office of Coastal Zone Management, New England, Outer Cape, Shoreline, Shoreline Change Rate, Short-term, Transect, U.S. Geological Survey, USGS, United States, WHCMSC, Woods Hole Coastal and Marine Science Center, coastal processes, geoscientificInformation, geospatial datasets, oceans, Fewer tags « 1 2 3 4 5 ... 11 »