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.

Digital Elevation Model (DEM) is a representation of the topography of the Earth surface in digital format. The data is made up of sampled arrays of pixels depicting surface elevations in raster form. This data was captured as an ancillary product of a statewide ortho image acquisition using a Lecia ADS40 sensor. The primary DEM is a 5-meter ground resolution, quarter-quadrangle (3.75 minutes of latitude by 3.75 minutes of longitude) cast on the Universal Transverse Mercator projection (UTM) on the North American Datum of 1983 (NAD83). The geographic extent of the DEM is equivalent to a quarter-quadrangle plus the over edge ranges from a minimum of 50 meters to a maximum of 300 meters beyond the extremes of the primary and secondary corner points. The over edge is included to facilitate for the placement of the NAD83 and secondary datum corner ticks. This series of DEM's was produced as a part of the 2006 Arkansas Digital Orthophotography Program administered by the Arkansas State Land Information Board and the Arkansas Geographic Information Office. The aerial imaging data used to create the DEM was acquired between January 15th and March 31st in 2006.

This dataset is comprised of three files containing northing, easting, and elevation ("XYZ") information for light detection and ranging (lidar) data representing the beach topography and sonar data representing near-shore topography of Lake Superior at Minnesota Point, near the Duluth entry, Duluth, Minnesota. The point data is the same as that in LAS files that were used to create the digital elevation models (DEMs) of the approximate 2.15 square kilometer surveyed area. Lidar data were collected September 07, 2022 using a boat mounted Velodyne VLP-16 unit and methodology similar to that described by Huizinga and Wagner (2019). Multibeam sonar data were collected September 06-07, 2022 using a Norbit integrated wide band multibeam system compact (iWBMSc) sonar unit and methodology similar to that described by Richards and Huizinga (2018). Single-beam sonar data were collected September 07, 2022 using a Ceescope echosounder and methodology similar to that described by Wilson and ...

As part of the Louisiana Coastal Protection and Restoration Authority (CPRA) Barrier Island Comprehensive Monitoring Program (BICM), scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted a single-beam bathymetry survey around the Chandeleur Islands, Louisiana in June 2015. The goal of the program is to provide long-term data on Louisiana’s barrier islands and use this data to plan, design, evaluate, and maintain current and future barrier island restoration projects. The data described in this report, along with USGS bathymetry data collected in 2013 as a part of the Barrier Island Evolution Research project covering the northern Chandeleur Islands, and data collected in 2014 in collaboration with the Louisiana CPRA Barrier Island Comprehensive Monitoring project around Breton Island, will be used to assess bathymetric change since 2006-2007 and serve as a bathymetric control in supporting modeling of future changes in response to restoration and storm impacts. The survey area encompasses approximately 435 square kilometers (km2) of nearshore and back-barrier environments around Hewes Point, the Chandeleur Islands, and Curlew and Grand Gosier Shoals. This data series serves as an archive of processed single-beam bathymetry data, collected in the nearshore of the Chandeleur Islands, Louisiana from June 17-24, 2015 during USGS Field Activity Number 2015-317-FA. Geographic information system data products include: a 200 meter-cell-size interpolated bathymetry grid, trackline maps, and xyz point data files. Additional files include error analysis maps, Field Activity Collection System logs, and formal Federal Geographic Data Committee metadata.

This dataset consists of two files containing northing, easting, and elevation ("XYZ") information for light detection and ranging (lidar) data representing the beach and near-shore topography of Lake Superior at Minnesota Point, Duluth, Minnesota. The point data is the same as that in the LAS dataset used to create a digital elevation model (DEM) of the approximately 2.27 square kilometer surveyed area. Lidar data were collected July 23, 2020 using a boat mounted Velodyne unit. Multibeam sonar data were collected July 20th and 23rd, 2020 using a Norbit integrated wide band multibeam system (iWBMSc) sonar unit. Methodology for data collection similar to Wagner, D.M., Lund, J.W., and Sanks, K.M., 2020 was used.

As part of the Barrier Island Comprehensive Monitoring Program (BICM), scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted a nearshore single-beam bathymetry survey along the south-central coast of Louisiana, from Raccoon Point to Point Au Fer Island, in July 2015. The goal of the BICM program is to provide long-term data on Louisiana’s coastline and use this data to plan, design, evaluate, and maintain current and future barrier island restoration projects. The data described in this report will provide baseline bathymetric information for future research investigating island evolution, sediment transport, and recent and long term geomorphic change, and will support modeling of future changes in response to restoration and storm impacts. The survey area encompasses more than 300 square kilometers (km2) of nearshore environment from Raccoon Point to Point Au Fer Island. This data series serves as an archive of processed single-be ...

ASCII XYZ data for Fire Island, New York, was produced from remotely sensed, geographically referenced elevation measurements collected October 25 and November 8, 2002 by the U.S. Geological Survey, in cooperation with the National Park Service (NPS) and the National Aeronautics and Space Administration (NASA). Elevation measurements were collected over the area using the first-generation Experimental Advanced Airborne Research Lidar (EAARL-A), a pulsed laser ranging system mounted onboard an aircraft to measure ground elevation, vegetation canopy, and coastal topography. The system uses high-frequency laser beams directed at the Earth's surface through an opening in the bottom of the aircraft's fuselage. The laser system records the time difference between emission of the laser beam and the reception of the reflected laser signal in the aircraft. The plane travels over the target area at approximately 55 meters per second at an elevation of approximately 300 meters, resulting in a laser swath of approximately 240 meters. More than 100 kilometers of coastline can be surveyed easily within a 3- to 4-hour mission. When resultant elevation maps for an area are analyzed, they provide a useful tool to make management decisions regarding land development.

The elevation contours in this dataset have a 2-foot (ft) interval and were derived from a digital elevation model (DEM) of beach topography and nearshore bathymetry of Lake Superior at Minnesota Point, Duluth, Minnesota. The DEM has a 1 meter (m; 3.28084 ft) cell size and was created from Lidar data representing beach topography and sonar data representing bathymetry extending approximately 700-800 m offshore. The data cover an approximately 1.75 square kilometer survey area. Lidar data were collected November 01, 2022 using a boat mounted Velodyne VLP-16 unit and methodology similar to that described by Huizinga and Wagner (2019). Multibeam sonar data were collected October 31-November 01, 2022 using a Norbit integrated wide band multibeam system compact (iWBMSc) sonar unit and methodology similar to that described by Richards and Huizinga (2018). Single-beam sonar data were collected November 01, 2022 using a Ceescope echosounder and methodology similar to that described by Wilson and Richards (2006). This project followed similar methods to that of Wagner, Lund, and Sanks (2020), who completed a similar survey in 2019.

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).

Note on Elevations: VERTICAL DATUM IS IN FEET RELATIVE TO THE INTERNATIONAL GREAT LAKES DATUM OF 1985 (IGLD85). IGLD85 ELEVATIONS CONVERSION TO NORTH AMERICAN VERTICAL DATUM OF 1988 (NAVD88) IS ELEVATION IGLD85 + 0.002 FEET = ELEVATION NAVD88. CONVERSION SOURCED FROM NATIONAL OCEANIC AND ATMOSPHERIC ADMINISTRATION (NOAA) ONLINE VERTICAL DATUM TRANSFORMATION TOOL. Elevation Data 1.1 2020 Coleman Wading Survey (GeoTIF) – also available as .xyz file 1.2 2020 GEI UAV Topo Survey (GeoTIF) – also available as .las file 1.3 2020 Ryba Bathymetric Survey (GeoTIF) – also available as .xyz and .shp files These files contain the elevation data that was used for the final design phase of the Marquette Lake Shore Boulevard Shoreline Restoration project. The GEI survey contains topographic information for the upland portion of the project, the Ryba survey contains bathymetric data for the nearshore, and the Coleman wading survey was conducted to survey the shoreline edge which could not be captured in the other two surveys.

ASCII XYZ data for Cape Hatteras, North Carolina, were produced from remotely sensed, geographically referenced elevation measurements collected pre-Hurricane Isabel on September 16, 2003 by the U.S. Geological Survey, in cooperation with the National Aeronautics and Space Administration (NASA). Elevation measurements were collected over the area using the first-generation Experimental Advanced Airborne Research Lidar (EAARL-A), a pulsed laser ranging system mounted onboard an aircraft to measure ground elevation, vegetation canopy, and coastal topography. The system uses high-frequency laser beams directed at the Earth's surface through an opening in the bottom of the aircraft's fuselage. The laser system records the time difference between emission of the laser beam and the reception of the reflected laser signal in the aircraft. The plane travels over the target area at approximately 55 meters per second at an elevation of approximately 300 meters, resulting in a laser swath of approximately 240 meters. More than 100 kilometers of coastline can be surveyed easily within a 3- to 4-hour mission. When resultant elevation maps for an area are analyzed, they provide a useful tool to make management decisions regarding land development.

This dataset consists of two files containing northing, easting, and elevation ("XYZ") information for light detection and ranging (lidar) data representing the beach and near-shore topography of Lake Superior at the Duluth Entry, Duluth, Minnesota. The point data is the same as that in the LAS dataset used to create a digital elevation model (DEM) of the approximately1.87 square kilometer surveyed area. Lidar data were collected July 28, 2020 using a boat mounted Velodyne unit. Multibeam sonar data were collected July 28-29, 2020 using a Norbit integrated wide band multibeam system (iWBMSc) sonar unit. Methodology for data collection similar to Wagner, D.M., Lund, J.W., and Sanks, K.M., 2020 was used.

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 (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).

Spot Elevations dataset current as of 2005. XYZ LiDAR data.

This is data for elevation transects through dune restoration sites on the north coast of Puerto Rico. The transects begin in the shoreline and end where land vegetation begins. The georeferenced imagery was captured with an RTK-GPS enabled DJI Phantom 4 with a D-RTK 2 GNSS Mobile Station. This data is for all the sites AFTER TO THE IMPLEMENTATION of ecological restoration methods. The dataset prepared by Vida Marina – UPR Aguadilla provides beach elevation data collected at several sites along the north coast of Puerto Rico. Data were collected by an operator using an unmanned aerial vehicle for surveying the site and obtaining elevation data (XYZ) along preselected transects. The horizontal position (longitude and latitude) data are given in the Universal Transverse Mercator (UTM) projected coordinate system referenced to the North American Datum of 1983 (NAD83). Puerto Rico is split into two UTM zones, 19 and 20 (Figure 1). The transition seems to occur, as referenced, close to the municipality of Carolina (UTM: 20 Q 183149.00 m E 2044329.00 m N). The elevation data are referenced to the North American Vertical Datum of 1988 (NAV88).

description: Data release doi:10.5066/F7BR8QBH associated with this metadata record serves as an archive of elevation data collected in August 2010 from Sabine National Wildlife Refuge (SNWR), Louisiana (U.S. Geological Survey [USGS] Field Activity Number [FAN] 10SWL01). Point (xyz) elevations were collected from historically formed open-water bodies and the surrounding emergent marsh using a combination of stop-and-go (semi-kinematic) and kinematic differential Global Positioning System (DGPS) surveying techniques. These data were collected as part of the U.S. Geological Survey s Gulf Coast Subsidence project https://coastal.er.usgs.gov/gc-subsidence/) and provide more extensive spatial coverage than water depths and marsh-surface elevations collected along coring transects in 2008 (Bernier and others, 2011). All elevation data use the projected coordinate system North American Datum of 1983 (NAD83), Universal Transverse Mercator (UTM) Zone 15 North (15N) and all elevations are North American Vertical Datum of 1988 (NAVD88) orthometric heights, derived using the GEOID09 geoid model.; abstract: Data release doi:10.5066/F7BR8QBH associated with this metadata record serves as an archive of elevation data collected in August 2010 from Sabine National Wildlife Refuge (SNWR), Louisiana (U.S. Geological Survey [USGS] Field Activity Number [FAN] 10SWL01). Point (xyz) elevations were collected from historically formed open-water bodies and the surrounding emergent marsh using a combination of stop-and-go (semi-kinematic) and kinematic differential Global Positioning System (DGPS) surveying techniques. These data were collected as part of the U.S. Geological Survey s Gulf Coast Subsidence project https://coastal.er.usgs.gov/gc-subsidence/) and provide more extensive spatial coverage than water depths and marsh-surface elevations collected along coring transects in 2008 (Bernier and others, 2011). All elevation data use the projected coordinate system North American Datum of 1983 (NAD83), Universal Transverse Mercator (UTM) Zone 15 North (15N) and all elevations are North American Vertical Datum of 1988 (NAVD88) orthometric heights, derived using the GEOID09 geoid model.

This dataset comprises Digital Elevation Models (DEMs) of varying resolutions for the George V and Terre Adelie continental margin, derived by incorporating all available singlebeam and multibeam point depth data into ESRI ArcGIS grids. The purpose was to provide revised DEMs for Census of Antarctic Marine Life (CAML) researchers who required accurate, high-resolution depth models for correlating seabed biota data against the physical environment. The DEM processing method utilised all individual multibeam and singlebeam depth points converted to geographic xyz (long/lat/depth) ASCII files. In addition, an ArcGIS line shapefile of the East Antarctic coastline showing the grounding lines of coastal glaciers and floating ice shelves, was converted to a xyz ASCII file with 0 m as the depth value. Land elevation data utilised the Radarsat Antarctic Mapping Project (RAMP) 200 m DEM data converted to xyz ASCII data. All depth, land and coastline ASCII files were input to Fledermaus 3DEditor visualisation software for removal of noisy data. The cleaned point data were then binned into a gridded surface using Fledermaus DMagic software, resulting in a 0.001-arcdegree (~100 m) resolution DEM with holes where no input data exists. ArcGIS Topogrid software was used to interpolate across the holes to output a full-coverage DEM. ArcGIS was used to produce the additional 0.0025-arcdegree (~250 m) and 0.005-arcdegree (~500 m) resolution grids. Full processing details can be viewed in: Beaman, R.J., O'Brien, P.E., Post, A.L., De Santis, L., 2011. A new high-resolution bathymetry model for the Terre Adelie and George V continental margin, East Antarctica. Antarctic Science 23(1), 95-103. doi:10.1017/S095410201000074X

These data are high-resolution bathymetry (river bottom elevation) in XYZ format and measurements of sediment depth in CSV format, generated from the February 13–14, 2017, topographic and hydrographic survey of the Des Plaines River near Brandon Road Lock and Dam at Joliet, Illinois. Hydrographic data were collected in three separate areas (approach channel, mooring area, and upstream pool) using a multibeam echo-sounder (MBES) with integrated inertial navigation solution (INS) mounted on a marine survey vessel. Sediment depth data were collected in the approach channel using navigational software and probing equipment mounted on a marine survey vessel.

This dataset is a digital elevation model (DEM) of the beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, Minnesota. The DEM has a 10-meter (m; 32.8084 feet) cell size and was created from a LAS dataset of terrestrial light detection and ranging (LiDAR) data representing the beach topography and sonar data representing the bathymetry to approximately 1.3 kilometers (0.8 miles) offshore. Average point spacing of the LAS files in the dataset are as follows: LiDAR, 0.137 m; multi-beam sonar, 1.029 m; single-beam sonar, 0.999 m. LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS scanner and methodology similar to that described by Huizinga and Wagner (2019). Multi-beam sonar data were collected August 7-11, 2019 using an R2Sonic 2024 sonar unit and methodology similar to that described by Richards and Huizinga (2018). Single-beam sonar data were collected August 27-28, 2019 using a CEESCOPE echosounder and methodology similar to that described by Wilson and Richards (2006).