Scientist from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) collected xyz locations for 53 Ground Control Points (GCP) in North Topsail Beach and within the Camp Lejeune Marine Corps Base, North Carolina, June 12-14, 2019. During this study, Global Positing System (GPS) data were collected using a single Spectra SP80 Global Navigation Satellite System (GNSS) receiver affixed to a 2-meter (m) survey pole. Additional attributes pertaining to each survey point have also been provided in 2019_330_FA_GCP_Final.csv as well as all photographs taken during data collection. Data are provided in the native format of the World Geodetic System of 1984 (WGS84) International Terrestrial Reference Frame of 2008 (ITRF08) ellipsoid heights, as well as in the North American Datum of 1983 (NAD83) ellipsoid and NAD83 North American Vertical Datum of 1988 (NAVD88), GEOID12B.

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS - SPCMSC) in St. Petersburg, Florida, conducted a single-beam bathymetric survey of Cedar Island, Virginia, August 9-15, 2019. During this study, bathymetry data were collected aboard a towed seismic sled outfitted with a single-beam echosounder.

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS - SPCMSC) in St. Petersburg, Florida, conducted a single-beam bathymetric survey of the northern Chandeleur Islands, August 17-21, 2018. During this study, bathymetry data were collected aboard the research vessel (R/V) Jabba Jaw, a 21-foot (ft) twin hulled vessel outfitted with a single-beam echosounder.

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, conducted a bathymetric survey of Fire Island, New York, June 2?17, 2018. The U.S. Geological Survey is involved in a post-Hurricane Sandy effort to map and monitor the morphologic evolution of the wilderness breach and the adjacent shoreface environment. During this study, bathymetry data were collected aboard two personal watercraft (PWC) outfitted with single-beam echosounders, as well as a towed seismic sled with similar instrumentation. Additional elevation data were collected using a backpack- mounted Global Positioning System (GPS) on flood shoals and in shallow channels within the wilderness breach.

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS - SPCMSC) in St. Petersburg, Florida, conducted a single-beam bathymetric survey of Rockaway Peninsula, New York September 27 - October 6, 2019. During this study, bathymetry data were collected aboard two personal watercraft (PWC) outfitted with single-beam echosounders, as well as a towed seismic sled with similar instrumentation.

Binary point-cloud data were produced for a portion of the New York, Delaware, Maryland, Virginia, and North Carolina coastlines, post-Hurricane Sandy (Sandy was an October 2012 hurricane that made landfall as an extratropical cyclone on the 29th), from remotely sensed, geographically referenced elevation measurements collected by Photo Science, Inc. (Delaware, Maryland, Virginia, and North Carolina) and Woolpert, Inc. (Fire Island, New York) using airborne lidar sensors.

Mean-high-water (MHW) shoreline for a portion of the New York, Delaware, Maryland, Virginia, and North Carolina coastlines were derived from lidar data collected following Hurricane Sandy (Sandy was an October 2012 hurricane that made landfall as an extratropical cyclone on the 29th). Data were produced by the U.S. Geological Survey (USGS) from remotely sensed, geographically-referenced elevation measurements collected by Photo Science, Inc. (Delaware, Maryland, Virginia, and North Carolina) and Woolpert, Inc. (Fire Island, New York) using airborne lidar sensors. Storms cause significant shoreline changes and this variation was not removed from these data, showing a highly variable MHW shoreline in many areas.

On October 29, 2012, Hurricane Sandy made landfall as a post-tropical storm near Brigantine, New Jersey, with sustained winds of 70 knots (80 miles per hour) and tropical-storm-force winds extending 870 nautical miles in diameter (Blake and others, 2013). The effects of Hurricane Sandy’s winds and storm surge included erosion of the beaches and dunes as well as breaching of barrier islands in both natural and heavily developed areas of the coast (Spokin et. al., 2014). On November 4-6, 2012, the U.S. Geological Survey (USGS) conducted an aerial survey of the coast from Cape Lookout, North Carolina, to Montauk Point, New York (Morgan and Krohn, 2014) collecting nearly 10,000 images during three days of surveying. In June 2014, the USGS developed a crowd-sourced online application, “iCoast – Did the Coast Change?” to enlist the help of citizen scientists (referred to as “users”) in the classification of coastal infrastructure, coastal processes, and storm impacts related to Hurricane Sandy. Hurricane Sandy was chosen as the inaugural project due to the broad and severe impact of the storm. By enlisting users in the analysis of these images, iCoast offers a chance to classify all the imagery from Hurricane Sandy into a form that scientists can use to analyze and verify predictive vulnerability models. This user audience spanned a wide range of expertise and enlisted anyone interested in coastal issues, including coastal researchers and emergency managers to coastal residents, students, and professors. The data provided in this data release represent the classification of imagery by iCoast users as of September 9, 2016. At that time all of the post-Hurricane Sandy images had at least one user classification. These datasets include user classifications of the coastal type, level of development, visible infrastructure, damage to visible infrastructure, and determination of the dominant coastal process in the image based on Sallenger’s (2000) coastal impact scale.

This Data Series Report contains lidar elevation data collected September 5 to October 11, 2012, for the barrier islands of Alabama, Mississippi and southeast Louisiana, including the coast near Port Fourchon. Most of the data were collected September 5-10, 2012, with a reflight conducted on October 11, 2012, to increase point density in some areas. Lidar data exchange format (LAS) 1.2 formatted point data files were generated based on these data. The point cloud data were processed to extract bare earth data; therefore, the point cloud data are organized into only four classes: 1-unclassified, 2-ground, 7-noise and 9-water. Aero-Metric, Inc., was contracted by the U.S. Geological Survey (USGS) to collect and process these data. The lidar data were collected at a nominal pulse spacing (NPS) of 1.0 meter (m). The horizontal projection and datum of the data are Universe Transverse Mercator, zones 15N and 16N, North American Datum 1983 (UTM Zone 15N or 16N NAD83), meters. The vertical datum is North American Vertical Datum 1988, Geoid 2012 (NAVD88, GEOID12), meters. These lidar data are available to Federal, State and local governments, emergency-response officials, resource managers, and the general public.

A topographic Lidar survey was conducted on February 6, 2012, over the Chandeleur Islands, Louisiana. The data were collected at a nominal pulse space of 0.5-meter (m) and processed to identify bare earth elevations. Bare earth digital elevation models (DEMs) were generated based on these data. Digital Aerial Solutions, LLC, was contracted by the U.S. Geological Survey (USGS) to collect and process the lidar data. The bare earth DEMs are 32-bit floating point ERDAS Imagine (IMG) files with a horizontal spatial resolution of 1-m by 1-m. They are in decimal degree geographic coordinates, North American Datum 1983, National Spatial Reference System 2007 (NAD83 NSRS2007)). Their vertical datum is North American Vertical Datum 1988, Geoid 2009, Geodetic Reference System 1980 (NAVD88 GEOID09 GRS80) in meters. Thirty-three DEMs, based on a 2-kilometer (km) by 2-km tiling scheme, cover the entire survey area. These lidar data are available to Federal, State and local governments, emergency-response officials, resource managers, and the general public.

The U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS-SPCMSC) and the U.S. Army Corps of Engineers Field Research Facility (USACE-FRF) of Duck, North Carolina collaborated to gather alongshore ground-based lidar beach topography at Fire Island, New York. This high-resolution, elevation dataset was collected on January 30, 2012, and was funded by SPCMSC. The USGS data release containing the aforementioned dataset includes the resulting, processed elevation point data (XYZ) and an interpolated digital elevation model (DEM).

The U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS-SPCMSC) and the U.S. Army Corps of Engineers Field Research Facility (USACE-FRF) of Duck, North Carolina collaborated to gather alongshore ground-based lidar beach topography at Fire Island, New York. This high-resolution, elevation dataset was collected on January 30, 2012, and was funded by SPCMSC. The USGS data release containing the aforementioned dataset includes the resulting, processed elevation point data (XYZ) and an interpolated digital elevation model (DEM).

The U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS-SPCMSC) and the U.S. Army Corps of Engineers Field Research Facility (USACE-FRF) of Duck, NC collaborated to gather alongshore ground-based lidar beach topography at Fire Island, NY. This high-resolution elevation dataset was collected on April 1, 2014, and is part of the USGS's ongoing beach monitoring effort under Hurricane Sandy Supplemental Project GS2-2B. This USGS Data Release includes the resulting processed elevation point data (xyz) and an interpolated digital elevation model (DEM).

The U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS-SPCMSC) and the U.S. Army Corps of Engineers Field Research Facility (USACE-FRF) of Duck, NC collaborated to gather alongshore ground-based lidar beach topography at Fire Island, NY. This high-resolution elevation dataset was collected on April 1, 2014, and is part of the USGS's ongoing beach monitoring effort under Hurricane Sandy Supplemental Project GS2-2B. This USGS Data Release includes the resulting processed elevation point data (xyz) and an interpolated digital elevation model (DEM).

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, conducted a bathymetric survey of Fire Island, New York, from May 6 to 20, 2015. The U.S. Geological Survey is involved in a post-Hurricane Sandy effort to map and monitor the morphologic evolution of the wilderness breach as a part of the Hurricane Sandy Supplemental Project GS2-2B. During this study, bathymetry data were collected with single-beam echosounders and Global Positioning Systems, which were mounted to personal watercraft, along the Fire Island shoreface and within the wilderness breach. Additional bathymetry and elevation data were collected using backpack Global Positioning Systems on flood shoals and in shallow channels within the wilderness breach.

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, conducted a bathymetric survey of Fire Island, New York, from May 6 to 20, 2015. The U.S. Geological Survey is involved in a post-Hurricane Sandy effort to map and monitor the morphologic evolution of the wilderness breach as a part of the Hurricane Sandy Supplemental Project GS2-2B. During this study, bathymetry data were collected with single-beam echosounders and Global Positioning Systems, which were mounted to personal watercraft, along the Fire Island shoreface and within the wilderness breach. Additional bathymetry and elevation data were collected using backpack Global Positioning Systems on flood shoals and in shallow channels within the wilderness breach.

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, conducted a bathymetric survey of Fire Island, New York, from May 6 to 20, 2015. The U.S. Geological Survey is involved in a post-Hurricane Sandy effort to map and monitor the morphologic evolution of the wilderness breach as a part of the Hurricane Sandy Supplemental Project GS2-2B. During this study, bathymetry data were collected with single-beam echosounders and Global Positioning Systems, which were mounted to personal watercraft, along the Fire Island shoreface and within the wilderness breach. Additional bathymetry and elevation data were collected using backpack Global Positioning Systems on flood shoals and in shallow channels within the wilderness breach.

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, conducted a bathymetric survey of Fire Island, New York, from May 6 to 20, 2015. The U.S. Geological Survey is involved in a post-Hurricane Sandy effort to map and monitor the morphologic evolution of the wilderness breach as a part of the Hurricane Sandy Supplemental Project GS2-2B. During this study, bathymetry data were collected with single-beam echosounders and Global Positioning Systems, which were mounted to personal watercraft, along the Fire Island shoreface and within the wilderness breach. Additional bathymetry and elevation data were collected using backpack Global Positioning Systems on flood shoals and in shallow channels within the wilderness breach.

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, conducted a bathymetric survey of Fire Island, New York, from May 6 to 20, 2015. The U.S. Geological Survey is involved in a post-Hurricane Sandy effort to map and monitor the morphologic evolution of the wilderness breach as a part of the Hurricane Sandy Supplemental Project GS2-2B. During this study, bathymetry data were collected with single-beam echosounders and Global Positioning Systems, which were mounted to personal watercraft, along the Fire Island shoreface and within the wilderness breach. Additional bathymetry and elevation data were collected using backpack Global Positioning Systems on flood shoals and in shallow channels within the wilderness breach.

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, collected bathymetric data along the upper shoreface and within the wilderness breach at Fire Island, New York, in June 2014. The U.S. Geological Survey is involved in a post-Hurricane Sandy effort to map and monitor the morphologic evolution of the shoreface along Fire Island and model the evolution of the wilderness breach as a part of the Hurricane Sandy Supplemental Project GS2-2B.During this study, bathymetry was collected with single-beam echo sounders and global positioning systems, mounted to personal watercraft, along the Fire Island shoreface and within the wilderness breach. Additional bathymetry was collected using backpack global positioning systems along the flood shoals and shallow channels within the wilderness breach.

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, collected bathymetric data along the upper shoreface and within the wilderness breach at Fire Island, New York, in June 2014. The U.S. Geological Survey is involved in a post-Hurricane Sandy effort to map and monitor the morphologic evolution of the shoreface along Fire Island and model the evolution of the wilderness breach as a part of the Hurricane Sandy Supplemental Project GS2-2B.During this study, bathymetry was collected with single-beam echo sounders and global positioning systems, mounted to personal watercraft, along the Fire Island shoreface and within the wilderness breach. Additional bathymetry was collected using backpack global positioning systems along the flood shoals and shallow channels within the wilderness breach.

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, collected bathymetric data along the upper shoreface and within the wilderness breach at Fire Island, New York, in June 2014. The U.S. Geological Survey is involved in a post-Hurricane Sandy effort to map and monitor the morphologic evolution of the shoreface along Fire Island and model the evolution of the wilderness breach as a part of the Hurricane Sandy Supplemental Project GS2-2B.During this study, bathymetry was collected with single-beam echo sounders and global positioning systems, mounted to personal watercraft, along the Fire Island shoreface and within the wilderness breach. Additional bathymetry was collected using backpack global positioning systems along the flood shoals and shallow channels within the wilderness breach.

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, collected bathymetric data along the upper shoreface and within the wilderness breach at Fire Island, New York, in June 2014. The U.S. Geological Survey is involved in a post-Hurricane Sandy effort to map and monitor the morphologic evolution of the shoreface along Fire Island and model the evolution of the wilderness breach as a part of the Hurricane Sandy Supplemental Project GS2-2B.During this study, bathymetry was collected with single-beam echo sounders and global positioning systems, mounted to personal watercraft, along the Fire Island shoreface and within the wilderness breach. Additional bathymetry was collected using backpack global positioning systems along the flood shoals and shallow channels within the wilderness breach.

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, collected bathymetric data along the upper shoreface and within the wilderness breach at Fire Island, New York, in June 2014. The U.S. Geological Survey is involved in a post-Hurricane Sandy effort to map and monitor the morphologic evolution of the shoreface along Fire Island and model the evolution of the wilderness breach as a part of the Hurricane Sandy Supplemental Project GS2-2B.During this study, bathymetry was collected with single-beam echo sounders and global positioning systems, mounted to personal watercraft, along the Fire Island shoreface and within the wilderness breach. Additional bathymetry was collected using backpack global positioning systems along the flood shoals and shallow channels within the wilderness breach.

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, collected bathymetric data along the upper shoreface and within the wilderness breach at Fire Island, New York, in June 2014. The U.S. Geological Survey is involved in a post-Hurricane Sandy effort to map and monitor the morphologic evolution of the shoreface along Fire Island and model the evolution of the wilderness breach as a part of the Hurricane Sandy Supplemental Project GS2-2B.During this study, bathymetry was collected with single-beam echo sounders and global positioning systems, mounted to personal watercraft, along the Fire Island shoreface and within the wilderness breach. Additional bathymetry was collected using backpack global positioning systems along the flood shoals and shallow channels within the wilderness breach.

The U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) in Florida and the USGS Lower Mississippi-Gulf Water Science Center (LMG WSC) in Montgomery, Alabama, collaborated to gather alongshore terrestrial-based lidar beach elevation data at Fire Island, New York. This high-resolution elevation dataset was collected on June 11, 2014, to characterize beach topography and document ongoing beach evolution and recovery, and is part of the ongoing beach monitoring within the Hurricane Sandy Supplemental Project GS2-2B. This USGS data series includes the resulting processed elevation point data (xyz) and an interpolated digital elevation model (DEM).

The U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) in Florida and the USGS Lower Mississippi-Gulf Water Science Center (LMG WSC) in Montgomery, Alabama, collaborated to gather alongshore terrestrial-based lidar beach elevation data at Fire Island, New York. This high-resolution elevation dataset was collected on June 11, 2014, to characterize beach topography and document ongoing beach evolution and recovery, and is part of the ongoing beach monitoring within the Hurricane Sandy Supplemental Project GS2-2B. This USGS data series includes the resulting processed elevation point data (xyz) and an interpolated digital elevation model (DEM).

The U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center in Florida and the U.S. Army Corps of Engineers Field Research Facility in Duck, North Carolina, collaborated to gather alongshore ground-based lidar beach elevation data at Fire Island, New York. This high-resolution elevation dataset was collected on April 10, 2013, to characterize beach topography following substantial erosion that occurred during Hurricane Sandy, which made landfall on October 29, 2012, and multiple, strong winter storms. The ongoing beach monitoring is part of the Hurricane Sandy Supplemental Project GS2-2B. This USGS data series includes the resulting processed elevation point data (xyz) and an interpolated digital elevation model (DEM).

The U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center in Florida and the U.S. Army Corps of Engineers Field Research Facility in Duck, North Carolina, collaborated to gather alongshore ground-based lidar beach elevation data at Fire Island, New York. This high-resolution elevation dataset was collected on April 10, 2013, to characterize beach topography following substantial erosion that occurred during Hurricane Sandy, which made landfall on October 29, 2012, and multiple, strong winter storms. The ongoing beach monitoring is part of the Hurricane Sandy Supplemental Project GS2-2B. This USGS data series includes the resulting processed elevation point data (xyz) and an interpolated digital elevation model (DEM).

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, conducted a bathymetric survey of Fire Island, New York, from May 6 to 20, 2015. The U.S. Geological Survey is involved in a post-Hurricane Sandy effort to map and monitor the morphologic evolution of the wilderness breach as a part of the Hurricane Sandy Supplemental Project GS2-2B. During this study, bathymetry data were collected with single-beam echosounders and Global Positioning Systems, which were mounted to personal watercraft, along the Fire Island shoreface and within the wilderness breach. Additional bathymetry and elevation data were collected using backpack Global Positioning Systems on flood shoals and in shallow channels within the wilderness breach.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Sand Key Beach in Clearwater, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B vertical coordinate system.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Sand Key Beach in Clearwater, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B vertical coordinate system.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Sand Key Beach in Clearwater, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B vertical coordinate system.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Sand Key Beach in Clearwater, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B vertical coordinate system.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Sand Key Beach in Clearwater, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B vertical coordinate system.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Sand Key Beach in Clearwater, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B vertical coordinate system.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Sand Key Beach in Clearwater, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B vertical coordinate system.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Sand Key Beach in Clearwater, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B vertical coordinate system.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Sand Key Beach in Clearwater, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B vertical coordinate system.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Sand Key Beach in Clearwater, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B vertical coordinate system.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Sand Key Beach in Clearwater, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B vertical coordinate system.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Sand Key Beach in Clearwater, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B vertical coordinate system.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Sand Key Beach in Clearwater, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B vertical coordinate system.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Sand Key Beach in Clearwater, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B vertical coordinate system.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Sand Key Beach in Clearwater, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B vertical coordinate system.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Sand Key Beach in Clearwater, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B vertical coordinate system.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Sand Key Beach in Clearwater, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B vertical coordinate system.

This data release presents the post-processed Global Navigation Satellite System (GNSS) ground-survey data acquired during the installation of the Argus camera at Isla Verde, Puerto Rico. The data contains topographic survey data collected during the installation of the camera. Data were collected on foot by a person equipped with a GNSS antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ). The GNSS measurements were made using Post-Processed Kinematic (PPK) corrections from the National Geodetic Survey (NGS) Continuously Operating Base Station (CORS), ZSU4, located approximately 2.5 kilometers from the study area.

This data release presents the post-processed Global Navigation Satellite System (GNSS) ground-survey data acquired during the installation of a camera system at Tres Palmas, Rincón, Puerto Rico (PR). The data contains topographic survey data collected during the installation of the camera. Data were collected on foot, by a person equipped with a GNSS antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ). The GNSS measurements were made using Post-Processed Kinematic (PPK) corrections referenced to a temporary base station located approximately 250 meters from the study area.

This data release presents the post-processed global navigation satellite system (GNSS) ground-survey data acquired during the installation of the Argus camera at Waiakāne, Moloka'i, Hawai'i. The data contains topographic survey data collected during the installation of the camera. Data were collected on foot by a person equipped with a GNSS antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ). The GNSS measurements were made using Post-Processed Kinematic (PPK) corrections from a GNSS base station occupying a temporary benchmark (MK02) located approximately 1 kilometer (km) from the study area.

The U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and the USGS Lower Mississippi-Gulf Water Science Center (LMG WSC) in Montgomery, Alabama, collected terrestrial-based light detection and ranging (T-lidar) elevation data at Fire Island, New York. The data were collected on May 18, 2015 as part of the ongoing beach monitoring within Hurricane Sandy Supplemental Project GS2-2B, and will be used to document and assess the morphological storm response and post-storm beach recovery. The survey extended along 30 kilometers(km) of the Fire Island National Seashore, from the eastern boundary of Robert Moses State Park to the western boundary of Smith Point County Park. This USGS Data Release includes the resulting processed elevation point data (xyz) and an interpolated digital elevation model (DEM). For further information regarding data collection and/or processing methods, refer to previously published USGS Data Series 980 (https://doi.org/10.3133/ds980).

The U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and the USGS Lower Mississippi-Gulf Water Science Center (LMG WSC) in Montgomery, Alabama, collected terrestrial-based light detection and ranging (T-lidar) elevation data at Fire Island, New York. The data were collected on May 18, 2015 as part of the ongoing beach monitoring within Hurricane Sandy Supplemental Project GS2-2B, and will be used to document and assess the morphological storm response and post-storm beach recovery. The survey extended along 30 kilometers(km) of the Fire Island National Seashore, from the eastern boundary of Robert Moses State Park to the western boundary of Smith Point County Park. This USGS Data Release includes the resulting processed elevation point data (xyz) and an interpolated digital elevation model (DEM). For further information regarding data collection and/or processing methods, refer to previously published USGS Data Series 980 (https://doi.org/10.3133/ds980).

This dataset contains binary point-cloud data, produced from remotely sensed, geographically referenced topobathymetric measurements collected by Photo Science, Inc., encompassing the Breton and Gosier Island, LA study areas. The original area of interest was buffered by 100 meters to ensure complete coverage, resulting in approximately 75 square miles of lidar data. The Breton Island Lidar project called for the planning, acquisition, processing, and derivative products of topobathymetric lidar data, collected at a nominal pulse spacing (NPS) of 0.5-0.45 meters (4-5 points/square meter). Lidar acquisition was prioritized to coincide with the lowest tide possible. Water clarity was also assessed and deemed acceptable prior to acquisition flights. The data, in meters, are projected to UTM Zone 16 North and referenced horizontally to the NAD83 (2011) datum and vertically to the NAVD88 (GEOID12A) datum. The classified point-cloud data were delivered in LAS v1.2 format and the merged DEM was converted to a GeoTIFF file. Each LAS file contains data in a 1-kilometer by 1-kilometer tile named according to the US National Grid conventions. The final product was a LAZ file for Breton Island and another for Gosier Islands.

This dataset contains binary point-cloud data and a Digital Elevation Model (DEM), produced from remotely sensed, geographically referenced topobathymetric measurements collected by Photo Science, Inc., encompassing the Breton Island, LA study area. The original area of interest was buffered by 100 meters to ensure complete coverage, resulting in approximately 75 square miles of lidar data. The Breton Island Lidar project called for the planning, acquisition, processing, and derivative products of topobathymetric lidar data, collected at a nominal pulse spacing (NPS) of 0.5-0.45 meters (4-5 points/square meter). Lidar acquisition was prioritized to coincide with the lowest tide possible. Water clarity was also assessed and deemed acceptable prior to acquisition flights. The data, in meters, are projected to UTM Zone 16 North and referenced horizontally to the NAD83 (2011) datum and vertically to the NAVD88 (GEOID12A) datum. The classified point-cloud data were delivered in LAS v1.2 format and the merged DEM was converted to a GeoTIFF file. Each LAS file contains data in a 1-kilometer by 1-kilometer tile named according to the US National Grid conventions.

Derived products of a portion of the New York, Delaware, Maryland, Virginia, and North Carolina coastlines, post-Hurricane Sandy (Sandy was an October 2012 hurricane that made landfall as an extratropical cyclone on the 29th), were produced by the U.S. Geological Survey (USGS) from remotely sensed, geographically referenced elevation measurements collected by Photo Science, Inc. (Delaware, Maryland, Virgina, and North Carolina) and Woolpert, Inc. (Fire Island, New York) using airborne lidar sensors. Post-storm coastal dune and mean-high-water shoreline features, binary point-cloud data, and digital elevation model (DEM) data are included in this Data Series.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Isla Verde, Puerto Rico. Data were collected in 2022 on foot by a person equipped with a Global Navigation Satellite System (GNSS) receiver and antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 20 North (20N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the Puerto Rico Vertical Datum of 2002 (PRVD02), GEOID18.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Isla Verde, Puerto Rico. Data were collected in 2022 on foot by a person equipped with a Global Navigation Satellite System (GNSS) receiver and antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 20 North (20N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the Puerto Rico Vertical Datum of 2002 (PRVD02), GEOID18.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Isla Verde, Puerto Rico. Data were collected in 2023 on foot by a person equipped with a Global Navigation Satellite System (GNSS) receiver and antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 20 North (20N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the Puerto Rico Vertical Datum of 2002 (PRVD02), GEOID18.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Isla Verde, Puerto Rico. Data were collected in 2024 on foot by a person equipped with a Global Navigation Satellite System (GNSS) receiver and antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 20 North (20N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the Puerto Rico Vertical Datum of 2002 (PRVD02), GEOID18.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected in 2024 on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected in 2024 on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected in 2024 on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected in 2024 on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected in 2024 on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected in 2024 on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected in 2024 on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected in 2024 on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected in 2024 on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected in 2024 on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

This dataset contains information on the probabilities of storm-induced erosion (collision, inundation and overwash) on sandy beaches along the U.S. Gulf coast of Texas, Louisiana, Mississippi, and Alabama during hurricane impact conditions of Hurricane Delta in October 2020. The analysis is based on a storm-impact scaling model that uses observations of dune morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to storm events. Storm-induced water levels, due to both surge and waves, were compared to beach and dune elevations to determine the probabilities of three types of coastal change: collision (dune erosion), overwash, and inundation. Dune morphology observations (dune crest and toe elevation) were derived from topographic lidar (light detection and ranging) surveys. Hydrodynamic data were derived from the National Oceanic and Atmospheric Administration (NOAA) Nearshore Wave Prediction System model (wave setup and runup) and the NOAA Probabilistic Tropical Storm Surge model (storm surge). Storm surge exceedance levels of 10, 20, 30, 40, 50, and 90% were used; meaning that, for the 10% exceedance level, the storm surge would be expected to exceed the water level forecast in only 10% of locations, for example. The storm surge, mean and extreme water levels, and probabilities of collision, overwash, and inundation varied due to each storm surge exceedance level. Multiple similar variables are included in each data file for these parameters; the basic names are appended using the following format: ‘e10’ for the 10% exceedance level of storm surge. Data are provided for each NOAA National Hurricane Center (NHC) advisory during the study period for each storm. For further information regarding data collection and/or processing methods, refer to Stockdon and others (2012). For further information regarding dune morphology observations refer to Doran and others (2017).

This dataset contains information on the probabilities of storm-induced erosion (collision, inundation and overwash) on sandy beaches along the U.S. Gulf coast of Texas, Louisiana, Mississippi, and Alabama during hurricane impact conditions of Hurricane Delta in October 2020. The analysis is based on a storm-impact scaling model that uses observations of dune morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to storm events. Storm-induced water levels, due to both surge and waves, were compared to beach and dune elevations to determine the probabilities of three types of coastal change: collision (dune erosion), overwash, and inundation. Dune morphology observations (dune crest and toe elevation) were derived from topographic lidar (light detection and ranging) surveys. Hydrodynamic data were derived from the National Oceanic and Atmospheric Administration (NOAA) Nearshore Wave Prediction System model (wave setup and runup) and the NOAA Probabilistic Tropical Storm Surge model (storm surge). Storm surge exceedance levels of 10, 20, 30, 40, 50, and 90% were used; meaning that, for the 10% exceedance level, the storm surge would be expected to exceed the water level forecast in only 10% of locations, for example. The storm surge, mean and extreme water levels, and probabilities of collision, overwash, and inundation varied due to each storm surge exceedance level. Multiple similar variables are included in each data file for these parameters; the basic names are appended using the following format: ‘e10’ for the 10% exceedance level of storm surge. Data are provided for each NOAA National Hurricane Center (NHC) advisory during the study period for each storm. For further information regarding data collection and/or processing methods, refer to Stockdon and others (2012). For further information regarding dune morphology observations refer to Doran and others (2017).

This dataset contains information on the probabilities of storm-induced erosion (collision, inundation and overwash) on sandy beaches along the U.S. Gulf coast of Texas, Louisiana, Mississippi, and Alabama during hurricane impact conditions of Hurricane Delta in October 2020. The analysis is based on a storm-impact scaling model that uses observations of dune morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to storm events. Storm-induced water levels, due to both surge and waves, were compared to beach and dune elevations to determine the probabilities of three types of coastal change: collision (dune erosion), overwash, and inundation. Dune morphology observations (dune crest and toe elevation) were derived from topographic lidar (light detection and ranging) surveys. Hydrodynamic data were derived from the National Oceanic and Atmospheric Administration (NOAA) Nearshore Wave Prediction System model (wave setup and runup) and the NOAA Probabilistic Tropical Storm Surge model (storm surge). Storm surge exceedance levels of 10, 20, 30, 40, 50, and 90% were used; meaning that, for the 10% exceedance level, the storm surge would be expected to exceed the water level forecast in only 10% of locations, for example. The storm surge, mean and extreme water levels, and probabilities of collision, overwash, and inundation varied due to each storm surge exceedance level. Multiple similar variables are included in each data file for these parameters; the basic names are appended using the following format: ‘e10’ for the 10% exceedance level of storm surge. Data are provided for each NOAA National Hurricane Center (NHC) advisory during the study period for each storm. For further information regarding data collection and/or processing methods, refer to Stockdon and others (2012). For further information regarding dune morphology observations refer to Doran and others (2017).

This dataset contains information on the probabilities of storm-induced erosion (collision, inundation and overwash) on sandy beaches along the U.S. Gulf coast of Texas, Louisiana, Mississippi, and Alabama during hurricane impact conditions of Hurricane Delta in October 2020. The analysis is based on a storm-impact scaling model that uses observations of dune morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to storm events. Storm-induced water levels, due to both surge and waves, were compared to beach and dune elevations to determine the probabilities of three types of coastal change: collision (dune erosion), overwash, and inundation. Dune morphology observations (dune crest and toe elevation) were derived from topographic lidar (light detection and ranging) surveys. Hydrodynamic data were derived from the National Oceanic and Atmospheric Administration (NOAA) Nearshore Wave Prediction System model (wave setup and runup) and the NOAA Probabilistic Tropical Storm Surge model (storm surge). Storm surge exceedance levels of 10, 20, 30, 40, 50, and 90% were used; meaning that, for the 10% exceedance level, the storm surge would be expected to exceed the water level forecast in only 10% of locations, for example. The storm surge, mean and extreme water levels, and probabilities of collision, overwash, and inundation varied due to each storm surge exceedance level. Multiple similar variables are included in each data file for these parameters; the basic names are appended using the following format: ‘e10’ for the 10% exceedance level of storm surge. Data are provided for each NOAA National Hurricane Center (NHC) advisory during the study period for each storm. For further information regarding data collection and/or processing methods, refer to Stockdon and others (2012). For further information regarding dune morphology observations refer to Doran and others (2017).

This dataset contains information on the probabilities of storm-induced erosion (collision, inundation and overwash) on sandy beaches along the U.S. Gulf coast of Texas, Louisiana, Mississippi, and Alabama during hurricane impact conditions of Hurricane Delta in October 2020. The analysis is based on a storm-impact scaling model that uses observations of dune morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to storm events. Storm-induced water levels, due to both surge and waves, were compared to beach and dune elevations to determine the probabilities of three types of coastal change: collision (dune erosion), overwash, and inundation. Dune morphology observations (dune crest and toe elevation) were derived from topographic lidar (light detection and ranging) surveys. Hydrodynamic data were derived from the National Oceanic and Atmospheric Administration (NOAA) Nearshore Wave Prediction System model (wave setup and runup) and the NOAA Probabilistic Tropical Storm Surge model (storm surge). Storm surge exceedance levels of 10, 20, 30, 40, 50, and 90% were used; meaning that, for the 10% exceedance level, the storm surge would be expected to exceed the water level forecast in only 10% of locations, for example. The storm surge, mean and extreme water levels, and probabilities of collision, overwash, and inundation varied due to each storm surge exceedance level. Multiple similar variables are included in each data file for these parameters; the basic names are appended using the following format: ‘e10’ for the 10% exceedance level of storm surge. Data are provided for each NOAA National Hurricane Center (NHC) advisory during the study period for each storm. For further information regarding data collection and/or processing methods, refer to Stockdon and others (2012). For further information regarding dune morphology observations refer to Doran and others (2017).

This dataset contains information on the probabilities of storm-induced erosion (collision, inundation and overwash) on sandy beaches along the U.S. Gulf coast of Texas, Louisiana, Mississippi, and Alabama during hurricane impact conditions of Hurricane Delta in October 2020. The analysis is based on a storm-impact scaling model that uses observations of dune morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to storm events. Storm-induced water levels, due to both surge and waves, were compared to beach and dune elevations to determine the probabilities of three types of coastal change: collision (dune erosion), overwash, and inundation. Dune morphology observations (dune crest and toe elevation) were derived from topographic lidar (light detection and ranging) surveys. Hydrodynamic data were derived from the National Oceanic and Atmospheric Administration (NOAA) Nearshore Wave Prediction System model (wave setup and runup) and the NOAA Probabilistic Tropical Storm Surge model (storm surge). Storm surge exceedance levels of 10, 20, 30, 40, 50, and 90% were used; meaning that, for the 10% exceedance level, the storm surge would be expected to exceed the water level forecast in only 10% of locations, for example. The storm surge, mean and extreme water levels, and probabilities of collision, overwash, and inundation varied due to each storm surge exceedance level. Multiple similar variables are included in each data file for these parameters; the basic names are appended using the following format: ‘e10’ for the 10% exceedance level of storm surge. Data are provided for each NOAA National Hurricane Center (NHC) advisory during the study period for each storm. For further information regarding data collection and/or processing methods, refer to Stockdon and others (2012). For further information regarding dune morphology observations refer to Doran and others (2017).

This dataset contains information on the probabilities of storm-induced erosion (collision, inundation and overwash) on sandy beaches along the U.S. Gulf coast of Texas, Louisiana, Mississippi, and Alabama during hurricane impact conditions of Hurricane Delta in October 2020. The analysis is based on a storm-impact scaling model that uses observations of dune morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to storm events. Storm-induced water levels, due to both surge and waves, were compared to beach and dune elevations to determine the probabilities of three types of coastal change: collision (dune erosion), overwash, and inundation. Dune morphology observations (dune crest and toe elevation) were derived from topographic lidar (light detection and ranging) surveys. Hydrodynamic data were derived from the National Oceanic and Atmospheric Administration (NOAA) Nearshore Wave Prediction System model (wave setup and runup) and the NOAA Probabilistic Tropical Storm Surge model (storm surge). Storm surge exceedance levels of 10, 20, 30, 40, 50, and 90% were used; meaning that, for the 10% exceedance level, the storm surge would be expected to exceed the water level forecast in only 10% of locations, for example. The storm surge, mean and extreme water levels, and probabilities of collision, overwash, and inundation varied due to each storm surge exceedance level. Multiple similar variables are included in each data file for these parameters; the basic names are appended using the following format: ‘e10’ for the 10% exceedance level of storm surge. Data are provided for each NOAA National Hurricane Center (NHC) advisory during the study period for each storm. For further information regarding data collection and/or processing methods, refer to Stockdon and others (2012). For further information regarding dune morphology observations refer to Doran and others (2017).

This dataset contains information on the probabilities of storm-induced erosion (collision, inundation and overwash) on sandy beaches along the U.S. Gulf coast of Texas, Louisiana, Mississippi, and Alabama during hurricane impact conditions of Hurricane Delta in October 2020. The analysis is based on a storm-impact scaling model that uses observations of dune morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to storm events. Storm-induced water levels, due to both surge and waves, were compared to beach and dune elevations to determine the probabilities of three types of coastal change: collision (dune erosion), overwash, and inundation. Dune morphology observations (dune crest and toe elevation) were derived from topographic lidar (light detection and ranging) surveys. Hydrodynamic data were derived from the National Oceanic and Atmospheric Administration (NOAA) Nearshore Wave Prediction System model (wave setup and runup) and the NOAA Probabilistic Tropical Storm Surge model (storm surge). Storm surge exceedance levels of 10, 20, 30, 40, 50, and 90% were used; meaning that, for the 10% exceedance level, the storm surge would be expected to exceed the water level forecast in only 10% of locations, for example. The storm surge, mean and extreme water levels, and probabilities of collision, overwash, and inundation varied due to each storm surge exceedance level. Multiple similar variables are included in each data file for these parameters; the basic names are appended using the following format: ‘e10’ for the 10% exceedance level of storm surge. Data are provided for each NOAA National Hurricane Center (NHC) advisory during the study period for each storm. For further information regarding data collection and/or processing methods, refer to Stockdon and others (2012). For further information regarding dune morphology observations refer to Doran and others (2017).

This dataset contains information on the probabilities of storm-induced erosion (collision, inundation and overwash) on sandy beaches along the U.S. Gulf coast of Texas, Louisiana, Mississippi, and Alabama during hurricane impact conditions of Hurricane Delta in October 2020. The analysis is based on a storm-impact scaling model that uses observations of dune morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to storm events. Storm-induced water levels, due to both surge and waves, were compared to beach and dune elevations to determine the probabilities of three types of coastal change: collision (dune erosion), overwash, and inundation. Dune morphology observations (dune crest and toe elevation) were derived from topographic lidar (light detection and ranging) surveys. Hydrodynamic data were derived from the National Oceanic and Atmospheric Administration (NOAA) Nearshore Wave Prediction System model (wave setup and runup) and the NOAA Probabilistic Tropical Storm Surge model (storm surge). Storm surge exceedance levels of 10, 20, 30, 40, 50, and 90% were used; meaning that, for the 10% exceedance level, the storm surge would be expected to exceed the water level forecast in only 10% of locations, for example. The storm surge, mean and extreme water levels, and probabilities of collision, overwash, and inundation varied due to each storm surge exceedance level. Multiple similar variables are included in each data file for these parameters; the basic names are appended using the following format: ‘e10’ for the 10% exceedance level of storm surge. Data are provided for each NOAA National Hurricane Center (NHC) advisory during the study period for each storm. For further information regarding data collection and/or processing methods, refer to Stockdon and others (2012). For further information regarding dune morphology observations refer to Doran and others (2017).

This dataset contains information on the probabilities of storm-induced erosion (collision, inundation and overwash) on sandy beaches along the U.S. Gulf coast of Texas, Louisiana, Mississippi, and Alabama during hurricane impact conditions of Hurricane Delta in October 2020. The analysis is based on a storm-impact scaling model that uses observations of dune morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to storm events. Storm-induced water levels, due to both surge and waves, were compared to beach and dune elevations to determine the probabilities of three types of coastal change: collision (dune erosion), overwash, and inundation. Dune morphology observations (dune crest and toe elevation) were derived from topographic lidar (light detection and ranging) surveys. Hydrodynamic data were derived from the National Oceanic and Atmospheric Administration (NOAA) Nearshore Wave Prediction System model (wave setup and runup) and the NOAA Probabilistic Tropical Storm Surge model (storm surge). Storm surge exceedance levels of 10, 20, 30, 40, 50, and 90% were used; meaning that, for the 10% exceedance level, the storm surge would be expected to exceed the water level forecast in only 10% of locations, for example. The storm surge, mean and extreme water levels, and probabilities of collision, overwash, and inundation varied due to each storm surge exceedance level. Multiple similar variables are included in each data file for these parameters; the basic names are appended using the following format: ‘e10’ for the 10% exceedance level of storm surge. Data are provided for each NOAA National Hurricane Center (NHC) advisory during the study period for each storm. For further information regarding data collection and/or processing methods, refer to Stockdon and others (2012). For further information regarding dune morphology observations refer to Doran and others (2017).

This dataset contains information on the probabilities of storm-induced erosion (collision, inundation and overwash) on sandy beaches along the U.S. Gulf coast of Texas, Louisiana, Mississippi, and Alabama during hurricane impact conditions of Hurricane Delta in October 2020. The analysis is based on a storm-impact scaling model that uses observations of dune morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to storm events. Storm-induced water levels, due to both surge and waves, were compared to beach and dune elevations to determine the probabilities of three types of coastal change: collision (dune erosion), overwash, and inundation. Dune morphology observations (dune crest and toe elevation) were derived from topographic lidar (light detection and ranging) surveys. Hydrodynamic data were derived from the National Oceanic and Atmospheric Administration (NOAA) Nearshore Wave Prediction System model (wave setup and runup) and the NOAA Probabilistic Tropical Storm Surge model (storm surge). Storm surge exceedance levels of 10, 20, 30, 40, 50, and 90% were used; meaning that, for the 10% exceedance level, the storm surge would be expected to exceed the water level forecast in only 10% of locations, for example. The storm surge, mean and extreme water levels, and probabilities of collision, overwash, and inundation varied due to each storm surge exceedance level. Multiple similar variables are included in each data file for these parameters; the basic names are appended using the following format: ‘e10’ for the 10% exceedance level of storm surge. Data are provided for each NOAA National Hurricane Center (NHC) advisory during the study period for each storm. For further information regarding data collection and/or processing methods, refer to Stockdon and others (2012). For further information regarding dune morphology observations refer to Doran and others (2017).

This dataset contains information on the probabilities of storm-induced erosion (collision, inundation and overwash) on sandy beaches along the U.S. Gulf coast of Texas, Louisiana, Mississippi, and Alabama during hurricane impact conditions of Hurricane Laura in August 2020. The analysis is based on a storm-impact scaling model that uses observations of dune morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to storm events. Storm-induced water levels, due to both surge and waves, were compared to beach and dune elevations to determine the probabilities of three types of coastal change: collision (dune erosion), overwash, and inundation. Dune morphology observations (dune crest and toe elevation) were derived from topographic lidar (light detection and ranging) surveys. Hydrodynamic data were derived from the National Oceanic and Atmospheric Administration (NOAA) Nearshore Wave Prediction System model (wave setup and runup) and the NOAA Probabilistic Tropical Storm Surge model (storm surge). Storm surge exceedance levels of 10, 20, 30, 40, 50, and 90% were used; meaning that, for the 10% exceedance level, the storm surge would be expected to exceed the water level forecast in only 10% of locations, for example. The storm surge, mean and extreme water levels, and probabilities of collision, overwash, and inundation varied due to each storm surge exceedance level. Multiple similar variables are included in each data file for these parameters; the basic names are appended using the following format, ‘e10’ for the 10% exceedance level of storm surge. Data are provided for each NOAA National Hurricane Center (NHC) advisory during the study period for each storm. For further information regarding data collection and/or processing methods refer to Stockdon and others (2012). For further information regarding dune morphology observations refer to Doran and others (2017).

This dataset contains information on the probabilities of storm-induced erosion (collision, inundation and overwash) on sandy beaches along the U.S. Gulf coast of Texas, Louisiana, Mississippi, and Alabama during hurricane impact conditions of Hurricane Laura in August 2020. The analysis is based on a storm-impact scaling model that uses observations of dune morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to storm events. Storm-induced water levels, due to both surge and waves, were compared to beach and dune elevations to determine the probabilities of three types of coastal change: collision (dune erosion), overwash, and inundation. Dune morphology observations (dune crest and toe elevation) were derived from topographic lidar (light detection and ranging) surveys. Hydrodynamic data were derived from the National Oceanic and Atmospheric Administration (NOAA) Nearshore Wave Prediction System model (wave setup and runup) and the NOAA Probabilistic Tropical Storm Surge model (storm surge). Storm surge exceedance levels of 10, 20, 30, 40, 50, and 90% were used; meaning that, for the 10% exceedance level, the storm surge would be expected to exceed the water level forecast in only 10% of locations, for example. The storm surge, mean and extreme water levels, and probabilities of collision, overwash, and inundation varied due to each storm surge exceedance level. Multiple similar variables are included in each data file for these parameters; the basic names are appended using the following format, ‘e10’ for the 10% exceedance level of storm surge. Data are provided for each NOAA National Hurricane Center (NHC) advisory during the study period for each storm. For further information regarding data collection and/or processing methods refer to Stockdon and others (2012). For further information regarding dune morphology observations refer to Doran and others (2017).

This dataset contains information on the probabilities of storm-induced erosion (collision, inundation and overwash) on sandy beaches along the U.S. Gulf coast of Texas, Louisiana, Mississippi, and Alabama during hurricane impact conditions of Hurricane Laura in August 2020. The analysis is based on a storm-impact scaling model that uses observations of dune morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to storm events. Storm-induced water levels, due to both surge and waves, were compared to beach and dune elevations to determine the probabilities of three types of coastal change: collision (dune erosion), overwash, and inundation. Dune morphology observations (dune crest and toe elevation) were derived from topographic lidar (light detection and ranging) surveys. Hydrodynamic data were derived from the National Oceanic and Atmospheric Administration (NOAA) Nearshore Wave Prediction System model (wave setup and runup) and the NOAA Probabilistic Tropical Storm Surge model (storm surge). Storm surge exceedance levels of 10, 20, 30, 40, 50, and 90% were used; meaning that, for the 10% exceedance level, the storm surge would be expected to exceed the water level forecast in only 10% of locations, for example. The storm surge, mean and extreme water levels, and probabilities of collision, overwash, and inundation varied due to each storm surge exceedance level. Multiple similar variables are included in each data file for these parameters; the basic names are appended using the following format, ‘e10’ for the 10% exceedance level of storm surge. Data are provided for each NOAA National Hurricane Center (NHC) advisory during the study period for each storm. For further information regarding data collection and/or processing methods refer to Stockdon and others (2012). For further information regarding dune morphology observations refer to Doran and others (2017).

This dataset contains information on the probabilities of storm-induced erosion (collision, inundation and overwash) on sandy beaches along the U.S. Gulf coast of Texas, Louisiana, Mississippi, and Alabama during hurricane impact conditions of Hurricane Laura in August 2020. The analysis is based on a storm-impact scaling model that uses observations of dune morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to storm events. Storm-induced water levels, due to both surge and waves, were compared to beach and dune elevations to determine the probabilities of three types of coastal change: collision (dune erosion), overwash, and inundation. Dune morphology observations (dune crest and toe elevation) were derived from topographic lidar (light detection and ranging) surveys. Hydrodynamic data were derived from the National Oceanic and Atmospheric Administration (NOAA) Nearshore Wave Prediction System model (wave setup and runup) and the NOAA Probabilistic Tropical Storm Surge model (storm surge). Storm surge exceedance levels of 10, 20, 30, 40, 50, and 90% were used; meaning that, for the 10% exceedance level, the storm surge would be expected to exceed the water level forecast in only 10% of locations, for example. The storm surge, mean and extreme water levels, and probabilities of collision, overwash, and inundation varied due to each storm surge exceedance level. Multiple similar variables are included in each data file for these parameters; the basic names are appended using the following format, ‘e10’ for the 10% exceedance level of storm surge. Data are provided for each NOAA National Hurricane Center (NHC) advisory during the study period for each storm. For further information regarding data collection and/or processing methods refer to Stockdon and others (2012). For further information regarding dune morphology observations refer to Doran and others (2017).

This dataset contains information on the probabilities of storm-induced erosion (collision, inundation and overwash) on sandy beaches along the U.S. Gulf coast of Texas, Louisiana, Mississippi, and Alabama during hurricane impact conditions of Hurricane Laura in August 2020. The analysis is based on a storm-impact scaling model that uses observations of dune morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to storm events. Storm-induced water levels, due to both surge and waves, were compared to beach and dune elevations to determine the probabilities of three types of coastal change: collision (dune erosion), overwash, and inundation. Dune morphology observations (dune crest and toe elevation) were derived from topographic lidar (light detection and ranging) surveys. Hydrodynamic data were derived from the National Oceanic and Atmospheric Administration (NOAA) Nearshore Wave Prediction System model (wave setup and runup) and the NOAA Probabilistic Tropical Storm Surge model (storm surge). Storm surge exceedance levels of 10, 20, 30, 40, 50, and 90% were used; meaning that, for the 10% exceedance level, the storm surge would be expected to exceed the water level forecast in only 10% of locations, for example. The storm surge, mean and extreme water levels, and probabilities of collision, overwash, and inundation varied due to each storm surge exceedance level. Multiple similar variables are included in each data file for these parameters; the basic names are appended using the following format, ‘e10’ for the 10% exceedance level of storm surge. Data are provided for each NOAA National Hurricane Center (NHC) advisory during the study period for each storm. For further information regarding data collection and/or processing methods refer to Stockdon and others (2012). For further information regarding dune morphology observations refer to Doran and others (2017).

This dataset contains information on the probabilities of storm-induced erosion (collision, inundation and overwash) on sandy beaches along the U.S. Gulf coast of Texas, Louisiana, Mississippi, and Alabama during hurricane impact conditions of Hurricane Laura in August 2020. The analysis is based on a storm-impact scaling model that uses observations of dune morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to storm events. Storm-induced water levels, due to both surge and waves, were compared to beach and dune elevations to determine the probabilities of three types of coastal change: collision (dune erosion), overwash, and inundation. Dune morphology observations (dune crest and toe elevation) were derived from topographic lidar (light detection and ranging) surveys. Hydrodynamic data were derived from the National Oceanic and Atmospheric Administration (NOAA) Nearshore Wave Prediction System model (wave setup and runup) and the NOAA Probabilistic Tropical Storm Surge model (storm surge). Storm surge exceedance levels of 10, 20, 30, 40, 50, and 90% were used; meaning that, for the 10% exceedance level, the storm surge would be expected to exceed the water level forecast in only 10% of locations, for example. The storm surge, mean and extreme water levels, and probabilities of collision, overwash, and inundation varied due to each storm surge exceedance level. Multiple similar variables are included in each data file for these parameters; the basic names are appended using the following format, ‘e10’ for the 10% exceedance level of storm surge. Data are provided for each NOAA National Hurricane Center (NHC) advisory during the study period for each storm. For further information regarding data collection and/or processing methods refer to Stockdon and others (2012). For further information regarding dune morphology observations refer to Doran and others (2017).

This dataset contains information on the probabilities of storm-induced erosion (collision, inundation and overwash) on sandy beaches along the U.S. Gulf coast of Texas, Louisiana, Mississippi, and Alabama during hurricane impact conditions of Hurricane Laura in August 2020. The analysis is based on a storm-impact scaling model that uses observations of dune morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to storm events. Storm-induced water levels, due to both surge and waves, were compared to beach and dune elevations to determine the probabilities of three types of coastal change: collision (dune erosion), overwash, and inundation. Dune morphology observations (dune crest and toe elevation) were derived from topographic lidar (light detection and ranging) surveys. Hydrodynamic data were derived from the National Oceanic and Atmospheric Administration (NOAA) Nearshore Wave Prediction System model (wave setup and runup) and the NOAA Probabilistic Tropical Storm Surge model (storm surge). Storm surge exceedance levels of 10, 20, 30, 40, 50, and 90% were used; meaning that, for the 10% exceedance level, the storm surge would be expected to exceed the water level forecast in only 10% of locations, for example. The storm surge, mean and extreme water levels, and probabilities of collision, overwash, and inundation varied due to each storm surge exceedance level. Multiple similar variables are included in each data file for these parameters; the basic names are appended using the following format, ‘e10’ for the 10% exceedance level of storm surge. Data are provided for each NOAA National Hurricane Center (NHC) advisory during the study period for each storm. For further information regarding data collection and/or processing methods refer to Stockdon and others (2012). For further information regarding dune morphology observations refer to Doran and others (2017).

This dataset contains information on the probabilities of storm-induced erosion (collision, inundation and overwash) on sandy beaches along the U.S. Gulf coast of Texas, Louisiana, Mississippi, and Alabama during hurricane impact conditions of Hurricane Laura in August 2020. The analysis is based on a storm-impact scaling model that uses observations of dune morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to storm events. Storm-induced water levels, due to both surge and waves, were compared to beach and dune elevations to determine the probabilities of three types of coastal change: collision (dune erosion), overwash, and inundation. Dune morphology observations (dune crest and toe elevation) were derived from topographic lidar (light detection and ranging) surveys. Hydrodynamic data were derived from the National Oceanic and Atmospheric Administration (NOAA) Nearshore Wave Prediction System model (wave setup and runup) and the NOAA Probabilistic Tropical Storm Surge model (storm surge). Storm surge exceedance levels of 10, 20, 30, 40, 50, and 90% were used; meaning that, for the 10% exceedance level, the storm surge would be expected to exceed the water level forecast in only 10% of locations, for example. The storm surge, mean and extreme water levels, and probabilities of collision, overwash, and inundation varied due to each storm surge exceedance level. Multiple similar variables are included in each data file for these parameters; the basic names are appended using the following format, ‘e10’ for the 10% exceedance level of storm surge. Data are provided for each NOAA National Hurricane Center (NHC) advisory during the study period for each storm. For further information regarding data collection and/or processing methods refer to Stockdon and others (2012). For further information regarding dune morphology observations refer to Doran and others (2017).

This dataset contains information on the probabilities of storm-induced erosion (collision, inundation and overwash) on sandy beaches along the U.S. Gulf coast of Texas, Louisiana, Mississippi, and Alabama during hurricane impact conditions of Hurricane Laura in August 2020. The analysis is based on a storm-impact scaling model that uses observations of dune morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to storm events. Storm-induced water levels, due to both surge and waves, were compared to beach and dune elevations to determine the probabilities of three types of coastal change: collision (dune erosion), overwash, and inundation. Dune morphology observations (dune crest and toe elevation) were derived from topographic lidar (light detection and ranging) surveys. Hydrodynamic data were derived from the National Oceanic and Atmospheric Administration (NOAA) Nearshore Wave Prediction System model (wave setup and runup) and the NOAA Probabilistic Tropical Storm Surge model (storm surge). Storm surge exceedance levels of 10, 20, 30, 40, 50, and 90% were used; meaning that, for the 10% exceedance level, the storm surge would be expected to exceed the water level forecast in only 10% of locations, for example. The storm surge, mean and extreme water levels, and probabilities of collision, overwash, and inundation varied due to each storm surge exceedance level. Multiple similar variables are included in each data file for these parameters; the basic names are appended using the following format, ‘e10’ for the 10% exceedance level of storm surge. Data are provided for each NOAA National Hurricane Center (NHC) advisory during the study period for each storm. For further information regarding data collection and/or processing methods refer to Stockdon and others (2012). For further information regarding dune morphology observations refer to Doran and others (2017).

This dataset contains information on the probabilities of storm-induced erosion (collision, inundation and overwash) on sandy beaches along the U.S. Gulf coast of Texas, Louisiana, Mississippi, and Alabama during hurricane impact conditions of Hurricane Laura in August 2020. The analysis is based on a storm-impact scaling model that uses observations of dune morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to storm events. Storm-induced water levels, due to both surge and waves, were compared to beach and dune elevations to determine the probabilities of three types of coastal change: collision (dune erosion), overwash, and inundation. Dune morphology observations (dune crest and toe elevation) were derived from topographic lidar (light detection and ranging) surveys. Hydrodynamic data were derived from the National Oceanic and Atmospheric Administration (NOAA) Nearshore Wave Prediction System model (wave setup and runup) and the NOAA Probabilistic Tropical Storm Surge model (storm surge). Storm surge exceedance levels of 10, 20, 30, 40, 50, and 90% were used; meaning that, for the 10% exceedance level, the storm surge would be expected to exceed the water level forecast in only 10% of locations, for example. The storm surge, mean and extreme water levels, and probabilities of collision, overwash, and inundation varied due to each storm surge exceedance level. Multiple similar variables are included in each data file for these parameters; the basic names are appended using the following format, ‘e10’ for the 10% exceedance level of storm surge. Data are provided for each NOAA National Hurricane Center (NHC) advisory during the study period for each storm. For further information regarding data collection and/or processing methods refer to Stockdon and others (2012). For further information regarding dune morphology observations refer to Doran and others (2017).

This dataset contains information on the probabilities of storm-induced erosion (collision, inundation and overwash) on sandy beaches along the U.S. Gulf coast of Texas, Louisiana, Mississippi, and Alabama during hurricane impact conditions of Hurricane Laura in August 2020. The analysis is based on a storm-impact scaling model that uses observations of dune morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to storm events. Storm-induced water levels, due to both surge and waves, were compared to beach and dune elevations to determine the probabilities of three types of coastal change: collision (dune erosion), overwash, and inundation. Dune morphology observations (dune crest and toe elevation) were derived from topographic lidar (light detection and ranging) surveys. Hydrodynamic data were derived from the National Oceanic and Atmospheric Administration (NOAA) Nearshore Wave Prediction System model (wave setup and runup) and the NOAA Probabilistic Tropical Storm Surge model (storm surge). Storm surge exceedance levels of 10, 20, 30, 40, 50, and 90% were used; meaning that, for the 10% exceedance level, the storm surge would be expected to exceed the water level forecast in only 10% of locations, for example. The storm surge, mean and extreme water levels, and probabilities of collision, overwash, and inundation varied due to each storm surge exceedance level. Multiple similar variables are included in each data file for these parameters; the basic names are appended using the following format, ‘e10’ for the 10% exceedance level of storm surge. Data are provided for each NOAA National Hurricane Center (NHC) advisory during the study period for each storm. For further information regarding data collection and/or processing methods refer to Stockdon and others (2012). For further information regarding dune morphology observations refer to Doran and others (2017).