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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 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 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 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 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 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 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 shoreline, inletLines: Shoreline polygons and tidal inlet delineations: 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 and Marine Geology Program, Fire Island, All tags... Fire Island, Fire Island National Seashore, Fire Island National Seashore, Long Island, 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, coastal processes, geomorphology, geospatial analysis, geospatial datasets, oceans, study areas, 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 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 Baseline for the southern coast of Nantucket, Massachusetts, generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.0 The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast. The shoreline position and change rate are used to inform management decisions regarding the erosion of coastal resources. In 2001, a shoreline from 1994 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 2008-9 color aerial orthoimagery and 2007 topographic lidar datasets obtained from the National Oceanic and Atmospheric Administration's Ocean Service, Coastal Services Center. This 2018 data release includes rates that incorporate... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Coast, Baseline, CMGP, Coastal and Marine Geology Program, DSAS, All tags... Digital Shoreline Analysis System, Massachusetts, Nantucket, New England, North America, 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 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 End point rate of shoreline change statistics for New York State coastal wetlands This data set contains rate of shoreline change statistics for New York State coastal wetlands. Analysis was performed in ArcMap 10.5.1 using historical vector shoreline data from the National Oceanic and Atmospheric Administration (NOAA). Rate of change statistics were calculated using the Digital Shoreline Analysis System (DSAS), created by U.S. Geological Survey, version 5.0. End-point rates, presented here, calculated by dividing the distance of shoreline movement by the time elapsed between the oldest and the most recent shoreline, were generated for wetlands where fewer than three historic shorelines were available. Linear regression rates, determined by fitting a least-squares regression line to all shoreline... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Digital Shoreline Analysis System, End-Point Rate, Great South Bay, Hudson River, Jamaica Bay, All tags... New York, New York Bay, New York State, Peconic Bay, Shoreline Change Rate, U.S. Geological Survey, United States, Woods Hole Coastal and Marine Science Center, coastal processes, erosion, estuary, shoreline accretion, wetland ecosystems, Fewer tags Digital Shoreline Analysis System (DSAS) version 4.4 transects with long-term linear regression rate calculations for the sheltered north coast of Alaska, from Icy Cape to Cape Prince of Wales This dataset consists of long-term (less than 68 years) shoreline change rates for the sheltered north coast of Alaska from Icy Cape to Cape Prince of Wales. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.4, an ArcGIS extension developed by the U.S. Geological Survey. Rates of shoreline change were calculated using a linear regression rate-of-change (lrr) method based on available shoreline data between 1948 and 2016. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate rates of change. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Arctic, Bering Land Bridge National Preserve, CMHRP, Cape Espenberg, Cape Krusenstern National Monument, All tags... Cape Lisburne, Cape Prince of Wales, Cape Thompson, Chukchi Sea, Coastal and Marine Hazards and Resources Program, DSAS, Deering, Digital Shoreline Analysis System, Distributions, Icy Cape, Kivalina, Kotzebue Sound, North Slope, PCMSC, Pacific Coastal and Marine Science Center, Physical/Chemical Features, Point Hope, Point Lay, Red Dog Dock, Shishhmaref, Shoreline, Shoreline Change, U.S. Geological Survey, USGS, Wales, coastal processes, environment, geoscientificInformation, oceans, shoreline accretion, shoreline erosion, Fewer tags Digital Shoreline Analysis System (DSAS) version 4.4 transects with long-term linear regression rate calculations for the exposed north coast of Alaska, from Icy Cape to Cape Prince of Wales This dataset consists of long-term (less than 68 years) shoreline change rates for the exposed coast of the north coast of Alaska from Icy Cape to Cape Prince of Wales. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.4, an ArcGIS extension developed by the U.S. Geological Survey. Rates of shoreline change were calculated using a linear regression rate-of-change (lrr) method based on available shoreline data between 1948 and 2016. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate shoreline change... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Arctic, Bering Land Bridge National Preserve, CMHRP, Cape Espenberg, Cape Krusenstern National Monument, All tags... Cape Lisburne, Cape Prince of Wales, Cape Thompson, Chukchi Sea, Coastal and Marine Hazards and Resources Program, DSAS, Deering, Digital Shoreline Analysis System, Distributions, Icy Cape, Kivalina, Kotzebue Sound, North Slope, PCMSC, Pacific Coastal and Marine Science Center, Physical/Chemical Features, Point Hope, Point Lay, Red Dog Dock, Shishhmaref, Shoreline, Shoreline Change, U.S. Geological Survey, USGS, Wales, coastal processes, environment, geoscientificInformation, oceans, shoreline accretion, shoreline erosion, Fewer tags Vegetation habitat units derived from 2009 aerial imagery and field data for the Elwha River estuary, Washington Estuary vegetation cover delineated from 11 September 2009 1-meter-resolution NAIP aerial imagery at a scale of 1:1500. Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Clallam County, Elwha River, Olympic Peninsula, Port Angeles, United States of America, All tags... Washington, coastal ecosystems, coastal processes, dam, dam removal, ecological change, ecological processes, environment, geoscientificInformation, habitats, human impacts, human impacts on habitats, vegetation, Fewer tags Vegetation habitat units derived from 2013 aerial imagery and field data for the Elwha River estuary, Washington Estuary vegetation cover delineated from 26 August 2013 0.15-meter-resolution NPS Elwha PlaneCam aerial imagery at a scale of 1:1500. Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Clallam County, Elwha River, Olympic Peninsula, Port Angeles, United States of America, All tags... Washington, coastal ecosystems, coastal processes, dam, dam removal, ecological change, ecological processes, environment, geoscientificInformation, habitats, human impacts, human impacts on habitats, vegetation, Fewer tags Geomorphic habitat units derived from 2014 aerial imagery and elevation data for the Elwha River estuary, Washington Estuary geomorphic units delineated at a scale of 1:1500 using a combination of (a) 28 August 2014 0.15 meter resolution NPS Elwha PlaneCam aerial imagery; and (b) elevation-colored and hillshaded digital elevation models from USGS backpack/jetski topobathy surveys (5-8 September 2014) for areas < MHHW and aerial lidar surveys (7 November 2014) supplemented with NPS Elwha PlaneCam SfM photogrammetry data (30 September 2014) for elevations > MHHW. Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Clallam County, Elwha River, Olympic Peninsula, Port Angeles, United States of America, All tags... Washington, coastal ecosystems, coastal processes, dam, dam removal, ecological change, ecological processes, environment, geomorphology, geoscientificInformation, habitats, human impacts, human impacts on habitats, vegetation, Fewer tags Geomorphic habitat units derived from 2009 aerial imagery and elevation data for the Elwha River estuary, Washington Estuary geomorphic units delineated at a scale of 1:1500 using a combination of (a) 11 September 2009 1 meter resolution NAIP aerial imagery; and (b) elevation-colored and hillshaded digital elevation models from USGS backpack/jetski topobathy surveys (17 September 2009) for areas < MHHW and aerial lidar surveys (4-6 April 2009) for elevations > MHHW. Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Clallam County, Elwha River, Olympic Peninsula, Port Angeles, United States of America, All tags... Washington, coastal ecosystems, coastal processes, dam, dam removal, ecological change, ecological processes, environment, geomorphology, geoscientificInformation, habitats, human impacts, human impacts on habitats, vegetation, Fewer tags « 1 2 3 4 5 6 ... 17 »