gov.noaa.nmfs.inport:49861 eng UTF8 dataset OCM Partners resourceProvider NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information pointOfContact 2026-04-30T00:00:00 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) 2012-2013 Post-Hurricane Sandy EAARL-B Submerged Topography - Barnegat Bay, New Jersey nj2012_usgs_barnegatbay_m4730_metadata 2014 publication NOAA/NMFS/EDM 49861 https://www.fisheries.noaa.gov/inport/item/49861 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information https://coast.noaa.gov/dataviewer WWW:LINK-1.0-http--link Citation URL Online Resource download https://coast.noaa.gov WWW:LINK-1.0-http--link Citation URL Online Resource download mapDigital Binary point-cloud data for part of Barnegat Bay, New Jersey, post-Hurricane Sandy (October 2012 hurricane), were produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey. Elevation measurements were collected over the area using the second-generation Experimental Advanced Airborne Research Lidar, 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 with an average point spacing of 0.5-1.6 meters. The nominal vertical elevation accuracy expressed as the root mean square error (RMSE) is 25 centimeters. A peak sampling rate of 15-30 kilohertz results in an extremely dense spatial elevation dataset. 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 purpose of this project was to produce highly detailed and accurate digital elevation maps for part of Barnegat Bay, New Jersey, post-Hurricane Sandy (October 2012 hurricane), for use as a management tool and to make these data available to natural-resource managers and research scientists. completed NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information pointOfContact NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information custodian notPlanned https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4730/supplemental/nj2012_usgs_barnegatbay_m4730.kmz This graphic shows the coverage of the 2012 USGS Post Sandy Topobathy lidar collection of Barnegat Bay, NJ. kmz EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION theme Global Change Master Directory (GCMD) Science Keywords 23.3 LIDAR > Light Detection and Ranging instrument Global Change Master Directory (GCMD) Instrument Keywords 23.3 ALPS Airborne Lidar Processing System Cessna 310 DEM Digital Elevation Model EAARL-B Experimental Advanced Airborne Research Lidar bathymetry laser altimetry lidar remote sensing topography 2012 2013 Post-Hurricane Sandy Submerged theme General DOI/USGS/CMG > COASTAL AND MARINE GEOLOGY OCEAN > COASTAL PROCESSES > BARRIER ISLANDS OCEAN > COASTAL PROCESSES > BEACHES OCEAN > COASTAL PROCESSES > SHORELINE DISPLACEMENT U.S. GEOLOGICAL SURVEY U.S.DEPARTMENT OF INTERIOR theme Global Change Master Science Directory Atlantic Ocean Barnegat Bay New Jersey Ocean place Geographic Names Information System Lidar - partner (no harvest) project InPort otherRestrictions Cite As: OCM Partners, [Date of Access]: 2012-2013 Post-Hurricane Sandy EAARL-B Submerged Topography - Barnegat Bay, New Jersey [Data Date Range], https://www.fisheries.noaa.gov/inport/item/49861. NOAA provides no warranty, nor accepts any liability occurring from any incomplete, incorrect, or misleading data, or from any incorrect, incomplete, or misleading use of the data. It is the responsibility of the user to determine whether or not the data is suitable for the intended purpose. otherRestrictions Access Constraints: None otherRestrictions Use Constraints: The U.S. Geological Survey requests to be acknowledged as originators of these data in future products or derivative research. otherRestrictions Distribution Liability: Any conclusions drawn from the analysis of this information are not the responsibility of USGS, NOAA, the Office for Coastal Management or its partners. unclassified vector eng; US elevation -74.4186321 -73.94403664 39.47675859 40.10738038 | Currentness: Ground Condition 2012-11-01 | Currentness: Ground Condition 2012-11-05 | Currentness: Ground Condition 2012-11-16 | Currentness: Ground Condition 2012-11-20 | Currentness: Ground Condition 2012-11-30 | Currentness: Ground Condition 2012-12-05 | Currentness: Ground Condition 2012-12-06 | Currentness: Ground Condition 2012-12-21 | Currentness: Ground Condition 2013-01-10 Raw lidar data are not in a format that is generally usable by natural-resource managers and research scientists for scientific analysis. Converting dense lidar elevation data into a readily usable format without loss of essential information requires specialized processing. The U.S. Geological Survey's Coastal and Marine Geology Program (CMGP) has developed custom software to convert raw lidar data into a GIS-compatible map product to be provided to GIS specialists, managers, and scientists. The primary tool used in the conversion process is Airborne Lidar Processing System (ALPS), a multitiered processing system developed originally by a USGS-NASA collaborative project. Specialized processing algorithms are used to convert raw waveform lidar data acquired by the EAARL-B to georeferenced spot (x,y,z) returns for "first surface" and "bare earth" topography. The terms first surface and bare earth refer to the digital elevation data of the terrain, but although first-surface data include vegetation, buildings, and other manmade structures, bare-earth data do not. The zero crossing of the second derivative (that is, detection of stationary points) is used to detect the first return, resulting in "first surface" topography, whereas the trailing edge algorithm (that is, the algorithm searches for the location before the last return where direction changes along the trailing edge) is used to detect the range to the last return, or "bare earth" (the first and last returns being the first and last significant measurable part of the return pulse). Statistical filtering, known as the Random Consensus Filter (RCF), is used to remove false bottom returns and other outliers from the EAARL-B topography data. The filter uses a grid of non-overlapping square cells (buffer) of user-defined size overlaid onto the original point cloud. The user also defines the vertical tolerance (vertical width) based on the topographic complexity and point-sampling density of the data. The maximum allowable elevation range within a cell is established by this vertical tolerance. An iterative process searches for the maximum concentration of points within the vertical tolerance and removes those points outside of the tolerance (Nayegandhi and others, 2009). These data are then converted to the North American Datum of 1983 and the North American Vertical Datum of 1988 (using the GEOID12A model). Each file contains data located in a 2-kilometer by 2-kilometer tile, where the upper-left bound can be ascertained quickly through the filename. The first 3 numbers in the filename represent the left-most UTM east bounding coordinate (e###000) in meters, the next 4 numbers represent the top-most UTM north bounding coordinate (n####000) in meters, and the last 2 numbers (##) represent the UTM zone in which the tile is located (for example, post_e123_n4567_18). The development of custom software for creating these data products has been supported by the U.S. Geological Survey CMGP's Lidar for Science and Resource Management project. Processed data products are used by the U.S. Geological Survey CMGP's National Assessments of Coastal Change Hazards project to quantify the vulnerability of shorelines to coastal change hazards such as severe storms, sea-level rise, and shoreline erosion and retreat. false eng false none NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information distributor https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=4730 WWW:LINK-1.0-http--link Customized Download Create custom data files by choosing data area, product type, map projection, file format, datum, etc. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4730/index.html WWW:LINK-1.0-http--link Bulk Download Simple download of data files. download dataset Accuracy The expected accuracy of the measured variables is as follows: attitude within 0.05 degree, 3 centimeters nominal ranging accuracy, and vertical elevation accuracy of 25 centimeters RMSE for the topographic surface. Quality checks are built into the data-processing software. Horizontal Positional Accuracy Expected horizontal accuracy for the Leica ALS70-cm sensor, as determined from system studies and other methods, is 1/5500th of the flight height, which, in the instance of this particular project was 3,800-feet AGL (1250m), giving a horizontal tolerance of less than 0.691 US survey feet (0.211 m).; Quantitative Value: 100 meters, Test that produced the value: 1.0 m Vertical Positional Accuracy The nominal vertical elevation accuracy expressed as the root mean square error (RMSE) is 25 centimeters.; Quantitative Value: 0.25 meters, Test that produced the value: 25 cm RMSEz Completeness Report These point-cloud data may appear sparse or nonexistent, which is a result of removal from manual editing or lack of survey coverage. Conceptual Consistency Each file contains data located in a 2-kilometer by 2-kilometer tile where the upper-left bound can be ascertained quickly through the filename. The first 3 numbers in the filename represent the left-most UTM east bounding coordinate (e###000) in meters, the next 4 numbers represent the top-most UTM north bounding coordinate (n####000) in meters, and the last 2 numbers (##) represent the UTM zone in which the tile is located (for example, post_e123_n4567_18). The data were collected using a Cessna 310 aircraft. The EAARL-B laser scanner collects the data using a green-wavelength (532-nanometer) raster scanning laser, while a digital camera acquires a visual record of the flight. The data are stored on hard drives and archived at the U.S. Geological Survey office in St. Petersburg, Florida. The navigational data are processed and then, along with the raw data, are downloaded into ALPS, or the Airborne Lidar Processing System (20130211-20140219). Data are converted from units of time to x,y,z points for elevation and formatted into .las and .xyz files, and the derived surface data are converted into raster data (GeoTIFFs). 2014-02-19T00:00:00 A bias correction of -16 centimeters (value determined from instrument calibrations) was applied to the point-cloud data using ALPS (20140827) to account for a change in configuration parameters. Data are formatted into .las and .xyz files, and the derived surface data are converted into raster data (GeoTIFFs). 2014-08-27T00:00:00 The lidar data were downloaded as LAS files from the USGS Data Series' website for the survey. The data obtained were projected in NAD83 UTM coordinates (Zone 18), and referenced vertically to the North American Vertical Datum of 1988 (NAVD88) using the NGS Geoid12A model. The vertical units of the data were meters. For preparation of the data for Digital Coast provisioning and data storage, the following processing steps were performed: Using NOAA VDatum software the data were 1) reprojected from NAD83 UTM Zone 18 to NAD83 geographic coordinates and 2) the data were transformed from orthometric to ellipsoidal (GRS80) heights using Geoid12A. Bathymetric ("submerged topography") points were reclassfied from 0 to 11 for consistency with NOAA OCM's classification scheme for bathymetric lidar. 3) data were then converted to .laz format using LASzip. 2014-03-06T00:00:00 The NOAA Office for Coastal Management (OCM) reviewed the bathymetric lidar files for quality assurance. 2014-12-19T00:00:00