gov.noaa.nmfs.inport:80002 eng UTF8 dataset Elevation 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 2026-06-12T16:00:28 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) point 30651159359 EPSG::3857 EPSG::5703 2020 USGS Lidar: Sparta Earthquake, NC nc2020_sparta_m14446 2020 creation 2026 publication NOAA/NMFS/EDM 80002 https://www.fisheries.noaa.gov/inport/item/80002 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information https://s3-us-west-2.amazonaws.com/usgs-lidar-public/NC_SpartaEQ_1_2020/ept.json WWW:LINK-1.0-http--link USGS Entwine Point Tile (EPT) - NC_SpartaEQ_1 Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud. download https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/NC_SpartaEarthquake_2020_D21/NC_SpartaEQ_1_2020/reports/NC_SpartaEarthquake_Lidar_Project_Report_USGS_20210525.pdf WWW:LINK-1.0-http--link Lidar Report Link to the Dewberry lidar report. download https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/metadata/NC_SpartaEarthquake_2020_D21/ WWW:LINK-1.0-http--link USGS Additional Info Link to the additional information available for this data set from the USGS. This information includes reports, tile index shapefiles, and hydro breaklines. download https://usgs.entwine.io/data/view.html?r=%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/NC_SpartaEQ_1_2020/ept.json%22 WWW:LINK-1.0-http--link 3D View (Potree USGS) Link to view the point cloud, using the Entwine Point Tile (EPT) format, in the 3D Potree viewer. download https://coast.noaa.gov/dataviewer/ WWW:LINK-1.0-http--link NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV) The Data Access Viewer (DAV) allows a user to search for and download elevation, imagery, and land cover data for the coastal U.S. and its territories. The data, hosted by the NOAA Office for Coastal Management, can be customized and requested for free download through a checkout interface. An email provides a link to the customized data, while the original data set is available through a link within the viewer. download https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/NC_SpartaEarthquake_2020_D21/USGS_NC_SpartaEarthquake_2020_D21_Project_Report.pdf WWW:LINK-1.0-http--link USGS Project Report This USGS report provides the project information, vertical accuracy results, list of classifications, sensor used, and work unit information. download Original Product: These lidar data are processed Classified LAS 1.4 files, formatted to 511 individual 750 m x 750 m tiles; used to create intensity images and bare earth DEMs as necessary. Original Dataset Geographic Extent: NC Sparta Earthquake, North Carolina and Virginia, including the partial counties of Alleghany and Wilkes in North Carolina and the partial county of Grayson in Virginia, covering approximately 100 square miles. Original Dataset Description: NC Sparta Earthquake, USGS 2020 Lidar project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.3. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to 511 individual 750 m x 750 m tiles, as tiled Intensity Imagery, and as tiled bare earth DEMs; all tiled to the same 750 m x 750 m schema. Ground Conditions: Lidar was collected in late 2020, while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Dewberry established a total of 10 ground control points that were used to calibrate the lidar to known ground locations established throughout the Sparta Earthquake, North Carolina project area. An additional 30 independent accuracy checkpoints, 23 in Bare Earth and Urban landcovers (23 NVA points), 7 in Tall Grass and Brushland/Low Trees categories (7 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data. This metadata record supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV). For this data set, the DAV is leveraging the Entwine Point Tiles (EPT) hosted by USGS on Amazon Web Services. To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments and elevation modeling, etc. The purpose of these lidar data was to produce high accuracy 3D bare earth Digital Elevation Model (DEM) with a 0.5 meter cell size. These raw lidar point cloud data were used to create classified lidar LAS files, intensity images, bare earth DEMs as necessary. USGS, Dewberry 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 EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION theme Global Change Master Directory (GCMD) Science Keywords 23.3 CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > NORTH CAROLINA CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > VIRGINIA VERTICAL LOCATION > LAND SURFACE place Global Change Master Directory (GCMD) Location Keywords 23.3 LIDAR > Light Detection and Ranging instrument Global Change Master Directory (GCMD) Instrument Keywords 23.3 Airplane > Airplane platform Global Change Master Directory (GCMD) Platform Keywords 23.3 Lidar - partner (no harvest) project InPort otherRestrictions Cite As: OCM Partners, [Date of Access]: 2020 USGS Lidar: Sparta Earthquake, NC [Data Date Range], https://www.fisheries.noaa.gov/inport/item/80002. 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. license To the extent possible under law, the U.S. Government has waived all copyright and related or neighboring rights to this dataset. otherRestrictions Access Constraints: None otherRestrictions Use Constraints: Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations. otherRestrictions Distribution Liability: Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners. unclassified 2020 USGS Lidar DEM: Sparta Earthquake, NC NOAA/NMFS/EDM 80003 crossReference vector eng; US elevation Optech LMS; GeoCue; Microstation; Terrascan; ArcGIS 10.6; Windows 8; .las 936 GB -81.20929 -80.999577 36.380297 36.581425 | Currentness: Ground Condition 2020-12-12 2020-12-14 USGS Contract No. G16PC00020 CONTRACTOR: Dewberry. SUBCONTRACTOR: SurvTech Solutions Lidar data were acquired and calibrated by SurvTech Solutions. All follow-on processing was completed by Dewberry. The following are the USGS lidar fields in JSON: { "ldrinfo " :{ "ldrspec " :" U.S. Geological Survey (USGS) - National Geospatial Program (NGP) Lidar Base Specification v1.3 ", "ldrsens " :" Optech Galaxy T2000 ", "ldrmaxnr " :" 8 ", "ldrnps " :" 0.28 ", "ldrdens " :" 12.6 ", "ldranps " :" 0.28 ", "ldradens " :" 12.6 ", "ldrfltht " :" 1067 ", "ldrfltsp " :" 145 ", "ldrscana " :" 40 ", "ldrscanr " :" 100 ", "ldrpulsr " :" 1000 ", "ldrpulsd " :" 0.003 ", "ldrpulsw " :" 0.25 ", "ldrwavel " :" 1064 ", "ldrmpia " :" 1 ", "ldrbmdiv " :" 0.16 ", "ldrswatw " :" 776 ", "ldrswato " :" 60 ", "ldrgeoid " :" g2018u0.bin " }, "ldraccur " :{ "ldrchacc " :" 0 ", "rawnva " :" 0 ", "rawnvan " :" 0 " }, "lasinfo " :{ "lasver " :" 1.4 ", "lasprf " :" 6 ", "laswheld " :" Withheld (ignore) points were identified in these files using the standard LAS Withheld bit. ", "lasolap " :" Swath "overage" points are assigned per the producer's discretion. Dewberry did not classify overage points. ", "lasintr " :" 16 ", "lasclass " :{ "clascode " :" 1 ", "clasitem " :" Processed, but Unclassified " }, "lasclass " :{ "clascode " :" 2 ", "clasitem " :" Bare Earth Ground " }, "lasclass " :{ "clascode " :" 7 ", "clasitem " :" Low Noise " }, "lasclass " :{ "clascode " :" 17 ", "clasitem " :" Bridge Decks " }, "lasclass " :{ "clascode " :" 18 ", "clasitem " :" High Noise " } } } Zip LAS/LAZ - LASer LAZ 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 U.S. Geological Survey 12201 Sunrise Valley Drive Reston VA 20191 USA https://usgs.gov WWW:LINK-1.0-http--link USGS Home Home page for USGS information distributor https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=14446 /details/14446 WWW:LINK-1.0-http--link Customized Download Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base. Change to an orthometric vertical datum is one of the many options. download https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/NC_SpartaEarthquake_2020_D21/NC_SpartaEQ_1_2020/LAZ/ WWW:LINK-1.0-http--link Bulk Download Bulk download of data files in LAZ format, projected coordinates, orthometric heights. download dataset Horizontal Positional Accuracy Using NSSDA methodology (endorsed by the ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014)), horizontal accuracy at the 95% confidence level (called ACCURACYr) is computed by the formula RMSEr * 1.7308 or RMSExy * 2.448. No horizontal accuracy requirements or thresholds were provided for this project. However, lidar datasets are generally calibrated by methods designed to ensure a horizontal accuracy of 1 meter or less at the 95% confidence level. This data set was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 41 cm RMSEx/RMSEy Horizontal Accuracy Class which equates to Positional Horizontal Accuracy = +/- 1 meter at a 95% confidence level. Eight (8) checkpoints were photo-identifiable but do not produce a statistically significant tested horizontal accuracy value. Using this small sample set of photo-identifiable checkpoints, positional accuracy of this dataset was found to be RMSEx = 8.9 cm and RMSEy = 11.9 cm which equates to +/- 25.7 cm at 95% confidence level. While not statistically significant, the results of the small sample set of checkpoints are within the produced to meet horizontal accuracy. Vertical Positional Accuracy This data set was produced to meet ASPRS Positional Accuracy Standard for Digital Geospatial Data (2014) for a 10-cm RMSEz Vertical Accuracy Class. USGS Determined Vertical Accuracy Non-Vegetated Vertical Accuracy (NVA) = 2.9 cm RMSE Vegetated Vertical Accuracy (VVA) = 15.16 cm at the 95th Percentile Refer to the USGS Project Report. A link to this report is provided in the URL section of this metadata record. Completeness Report These LAS data files include all data points collected. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. The raw point cloud is of good quality and data passes Non-Vegetated Vertical Accuracy specifications. Conceptual Consistency Data covers the entire area specified for this project. The NOAA Office for Coastal Management (OCM) ingested references to the USGS Entwine Point Tiles (EPT) hosted on Amazon Web Services (AWS) into the Digital Coast Data Access Viewer (DAV). The DAV accesses the point cloud as it resides on AWS under the usgs-lidar-public-container. The boresight for each lift was done individually as the solution may change slightly from lift to lift. The following steps describe the Raw Data Processing and Boresight process: 1) Technicians processed the raw data to LAS format flight lines using the final GPS/IMU solution. This LAS data set was used as source data for boresight. 2) Technicians first used proprietary and commercial software to calculate initial boresight adjustment angles based on sample areas selected in the lift. These areas cover calibration flight lines collected in the lift, cross tie and production flight lines. These areas are well distributed in the lift coverage and cover multiple terrain types that are necessary for boresight angle calculation. The technician then analyzed the results and made any necessary additional adjustment until it is acceptable for the selected areas. 3) Once the boresight angle calculation was completed for the selected areas, the adjusted settings were applied to all of the flight lines of the lift and checked for consistency. The technicians utilized commercial and proprietary software packages to analyze how well flight line overlaps match for the entire lift and adjusted as necessary until the results met the project specifications. 4) Once all lifts were completed with individual boresight adjustment, the technicians checked and corrected the vertical misalignment of all flight lines and also the matching between data and ground truth. The relative accuracy was less than or equal to 6 cm RMSEz within individual swaths and less than or equal to 8 cm RMSEz or within swath overlap (between adjacent swaths). 5) The technicians ran a final vertical accuracy check of the boresighted flight lines against the surveyed check points after the z correction to ensure the requirement of NVA = 19.6 cm 95% Confidence Level (Required Accuracy) was met. Point classification was performed according to USGS Lidar Base Specification 1.3. Bare earth DEMs were exported from the classified point cloud. 2021-01-13T00:00:00 LAS Point Classification: The point classification is performed as described below. The bare earth surface is then manually reviewed to ensure correct classification on the Class 2 (Ground) points. All data was manually reviewed and any remaining artifacts removed using functionality provided by ArcGIS 10.6, TerraScan and TerraModeler. Global Mapper was used as a final check of the bare earth dataset. The withheld bit was set on the withheld points previously identified in TerraScan before the ground classification routine was performed. Dewberry proprietary software was then used to create the deliverable industry-standard LAS files for both the All Point Cloud Data and the Bare Earth. Dewberry proprietary software was used to perform final statistical analysis of the classes in the LAS files, on a per tile level to verify final classification metrics and full LAS header information. 2021-03-08T00:00:00 Data was tested at 0.28 meter nominal pulse spacing and 12.6 points per square meter (ppsm). The average density was tested on the LAS data using geometrically reliable (withheld and noise points excluded) first-return points. (A)NPD was tested using rasters which produce the average number of points within each cell. 2021-03-08T00:00:00 Original point clouds in LAS/LAZ format were restructured as Entwine Point Tiles and stored on Amazon Web Services. The data were re-projected horizontally to WGS84 web mercator (EPSG 3857) and the vertical units of NAVD88 (Geoid18), meters were retained. The NOAA Office for Coastal Management (OCM) created references to the Entwine Point Tiles (EPT) that were ingested into the NOAA Digital Coast Data Access Viewer (DAV). No changes were made to the data. The DAV will access the point cloud as it resides on Amazon Web Services (AWS) under the usgs-lidar-public container. These are the AWS URLs being accessed: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/NC_SpartaEQ_1_2020/ept.json 2026-06-12T00:00:00 NOAA Office for Coastal Management (843) 740-1202 coastal.info@noaa.gov processor USGS AWS Entwine Point Tile (EPT) - NC_SpartaEQ_1 USGS https://s3-us-west-2.amazonaws.com/usgs-lidar-public/NC_SpartaEQ_1_2020/ept.json WWW:LINK-1.0-http--link USGS AWS Entwine Point Tile (EPT) for NC_SpartaEQ_1 Source Citation URL information publisher