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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 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, Atlantic Coast, Baseline, DSAS, Digital Shoreline Analysis System, All tags... North America, Shoreline, Shoreline Change, South Carolina, 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 rates, oceans, shoreline accretion, Fewer tags Baseline for the North Carolina coastal region 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, Baseline, DSAS, Digital Shoreline Analysis System, North Carolina, All tags... 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 change rate transects for the northern North Carolina coastal region (NCnorth), calculated with and without the proxy-datum bias 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, Baseline, DSAS, Digital Shoreline Analysis System, North Carolina, All tags... Shoreline, 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 rates, oceans, shoreline accretion, short-term change rates, Fewer tags 2017 lidar-derived mean high water shoreline for the southern coast of North Carolina from Cape Lookout to Cape Fear (NCsouth) 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 Bias feature containing proxy-datum bias information to be used in the Digital Shoreline Analysis System for the southern coast of North Carolina from Cape Lookout to Cape Fear (NCsouth) 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, CMHRP, CSC, Coastal Services Center, Coastal and Marine Hazards and Resources Program, All tags... DSAS, Digital Shoreline Analysis System, HWL, MHW, NOAA, National Oceanic and Atmospheric Administration, North Carolina, PDB, U.S. Geological Survey, USGS, USGS National Shoreline Change Project, United States, Woods Hole Coastal and Marine Science Center, coastal processes, environment, erosion, geoscientificInformation, geospatial datasets, high water line, mean high water, oceans, proxy-datum bias, shoreline accretion, 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 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 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 Long and short-term shoreline intersect points for the northern coast of North Carolina (NCnorth), 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 Baseline for the South Carolina coastal region, generated to calculate 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, Atlantic Coast, Baseline, DSAS, Digital Shoreline Analysis System, All tags... North America, Shoreline, Shoreline Change, South Carolina, South Carolina, Southeast Atlantic, 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 rate transects for the South Carolina coastal region 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: Accretion, Atlantic Coast, Atlantic Coast, DSAS, Digital Shoreline Analysis System, All tags... Erosion, Mean High Water, North America, Shoreline Change, South Carolina, South Carolina, Southeast Atlantic, U.S. Geological Survey, USGS, United States, WHCMSC, Woods Hole Coastal and Marine Science Center, coastal processes, environment, erosion, geoscientificInformation, geospatial datasets, oceans, shoreline accretion, short-term change rates, Fewer tags Bias feature containing proxy-datum bias information to be used in the Digital Shoreline Analysis System for the northern coast of North Carolina from the Virginia border to Cape Hatteras (NCnorth) 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, CMHRP, CSC, Coastal Services Center, Coastal and Marine Hazards and Resources Program, All tags... DSAS, Digital Shoreline Analysis System, HWL, MHW, NOAA, National Oceanic and Atmospheric Administration, North Carolina, PDB, U.S. Geological Survey, USGS, USGS National Shoreline Change Project, United States, Woods Hole Coastal and Marine Science Center, coastal processes, environment, erosion, geoscientificInformation, geospatial datasets, high water line, mean high water, oceans, proxy-datum bias, shoreline accretion, Fewer tags Long and short-term shoreline change rate transects for the southern North Carolina coastal region (NCsouth), calculated with and without the proxy-datum bias 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, Baseline, DSAS, Digital Shoreline Analysis System, North Carolina, All tags... Shoreline, 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 rates, oceans, shoreline accretion, short-term change rates, Fewer tags Long and short-term shoreline intersect points for the southern coast of North Carolina (NCsouth), 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 2017 lidar-derived mean high water shoreline for the coast of North Carolina from Cape Fear to the South Carolina border (NCwest) 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 Bias feature containing proxy-datum bias information to be used in the Digital Shoreline Analysis System for the central 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, CMHRP, CSC, Coastal Services Center, Coastal and Marine Hazards and Resources Program, All tags... DSAS, Digital Shoreline Analysis System, HWL, MHW, NOAA, National Oceanic and Atmospheric Administration, North Carolina, PDB, U.S. Geological Survey, USGS, USGS National Shoreline Change Project, United States, Woods Hole Coastal and Marine Science Center, coastal processes, environment, erosion, geoscientificInformation, geospatial datasets, high water line, mean high water, oceans, proxy-datum bias, shoreline accretion, Fewer tags 2017 lidar-derived mean high water shoreline for the coast of North Carolina from the Virginia border to Cape Hatteras (NCnorth) 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 SC Bias Feature – Feature class containing South Carolina proxy-datum bias information to be used in the Digital Shoreline Analysis System 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, CMGP, CSC, Coastal Services Center, Coastal and Marine Geology Program, All tags... Coastal and Marine Hazards and Resources Program, DSAS, Digital Shoreline Analysis System, NOAA, National Oceanic and Atmospheric Administration, PDB, South Carolina, U.S. Geological Survey, USGS, USGS National Shoreline Change Project, United States, Woods Hole Coastal and Marine Science Center, coastal processes, environment, erosion, geoscientificInformation, geospatial datasets, oceans, proxy-datum bias, shoreline accretion, Fewer tags 2017-2018 lidar-derived mean high water shoreline for the coast of South Carolina 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, MHW, Mean High Water, All tags... Shoreline, Shoreline Change, South Carolina, U.S. Geological Survey, USGS, United States, WHCMSC, Woods Hole Coastal and Marine Science Center, coastal processes, environment, geoscientificInformation, geospatial datasets, oceans, Fewer tags 2010 lidar-derived mean high water shoreline for the coast of South Carolina 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, MHW, Mean High Water, All tags... Shoreline, Shoreline Change, South Carolina, U.S. Geological Survey, USGS, United States, WHCMSC, Woods Hole Coastal and Marine Science Center, coastal processes, environment, geoscientificInformation, geospatial datasets, oceans, Fewer tags 1 2 »