gov.noaa.nmfs.inport:79619 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 2026-07-07T21:16:53 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) point 382554570 NAD83(HARN) / UTM zone 18N2008-11-12publicationEuropean Petroleum Survey Grouphttps://apps.epsg.org/api/v1/CoordRefSystem/3748/export/?format=gmlurn:ogc:def:crs:EPSG:37486.18.3 2025 CBNERRVA Lidar: Catlett Islands, Goodwin Islands, Sweet Hall Marsh, Taskinas Creek, VA va2025_cbnerrva_m14092 2025 creation 2026 publication NOAA/NMFS/EDM 79619 https://www.fisheries.noaa.gov/inport/item/79619 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/entwine/geoid18/14092/ept.json WWW:LINK-1.0-http--link Entwine Point Tile (EPT) 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://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/14092/breaklines/index.html WWW:LINK-1.0-http--link Breaklines Link to download the breaklines in ESRI gdb and OGC GeoPackage formats. download https://coast.noaa.gov/lidar/viewer/v/noaapotree.html?r=https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/entwine/geoid18/14092/ept.json WWW:LINK-1.0-http--link Potree 3D View 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 Product: These lidar data are processed Classified LAS 1.4 files, formatted to 132 individual 1250 ft x 1250 ft tiles clipped to the DPA; used to create Bare-Earth DEMs and all-return MSHRs as necessary. Geographic Extent: Gloucester (Catlett Islands AOI), James City (Taskinas Creek AOI), King William (Sweet Hall Marsh AOI), and York (Goodwin Islands AOI) Counties, Virginia, covering approximately 7.3 square miles. Dataset Description: The 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 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Lidar Base Specification 2024, Revision A. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to 131 individual 1250 ft x 1250 ft tiles clipped to the DPA, as tiled bare-earth DEMs and as tiled all-return MSHRs; all tiled to the same 1250 ft x 1250 ft schema. Ground Conditions: Lidar was collected in February/March 2025, 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, Sanborn Map Company, Inc., established a total of 40 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. This data was provided to the NOAA Office for Coastal Management (OCM) by the Chesapeake Bay NERR (CBNERRVA) for the purpose of making the data publicly available for custom and bulk downloads from the NOAA Digital Coast Data Access Viewer. This data set contains point cloud data(' in LAZ (compressed LAS) format', ''). The data may have been reprojected or otherwise modified from the original data in an automated process. Disregard projection information in this abstract and refer to the spatial reference section. To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments and elevation modeling, etc. Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create Breaklines and Raster DEM. The purpose of these lidar data was to produce high accuracy 3D hydro-flattened Digital Elevation Model (DEM) with a 1 ft cell size. These lidar point cloud data were used to create bare-earth DEMs and all-return MSHRs as necessary. Chesapeake Bay NERR, Sanborn Map Company, Inc. The custom download may be cited as National Oceanic and Atmospheric Administration (NOAA) Digital Coast Data Access Viewer. Charleston, SC: NOAA Office for Coastal Management. Accessed 2026-07-09 at https://coast.noaa.gov/dataviewer. 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 EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL 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 > 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 This data set was compiled dynamically. It will be removed 10 days after 2026-07-09 from the NOAA system. Cite As: OCM Partners, [Date of Access]: 2025 CBNERRVA Lidar: Catlett Islands, Goodwin Islands, Sweet Hall Marsh, Taskinas Creek, VA [Data Date Range], https://www.fisheries.noaa.gov/inport/item/79619. 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 This data set was compiled dynamically. It will be removed 10 days after 2026-07-09 from the NOAA system. Access Constraints: None otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2026-07-09 from the NOAA system. 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 This data set was compiled dynamically. It will be removed 10 days after 2026-07-09 from the NOAA system. 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 2025 CBNERRVA Lidar DEM: Catlett Islands, Goodwin Islands, Sweet Hall Marsh, Taskinas Creek, VA NOAA/NMFS/EDM 79621 crossReference vector eng; US elevation Riegl LMS; GeoCue; Windows 10 Operating System -76.91296139 -76.37510635 37.21160384 37.57344035 | Currentness: Ground Condition 2025-02-09 2025-03-01 CONTRACTOR: Sanborn Map Company, Inc. The following are the USGS lidar fields in JSON: { "ldrinfo " :{ "ldrspec " :" U.S. Geological Survey (USGS) - National Geospatial Program (NGP) Lidar Base Specification 2024, Revision A ", "ldrsens " :" Riegl VQ-1560 II ", "ldrmaxnr " :" 15 ", "ldrnps " :" 0.34 ", "ldrdens " :" 8.8 ", "ldranps " :" 0.26 ", "ldradens " :" 14.8 ", "ldrfltht " :" 1501 ", "ldrfltsp " :" 160 ", "ldrscana " :" 58.52 ", "ldrscanr " :" 334 ", "ldrpulsr " :" 2206 ", "ldrpulsd " :" 4 ", "ldrpulsw " :" 0.279 ", "ldrwavel " :" 1064 ", "ldrmpia " :" 1 ", "ldrbmdiv " :" 0.25 ", "ldrswatw " :" 1682 ", "ldrswato " :" 20 ", "ldrgeoid " :" National Geodetic Survey (NGS) Geoid18 " }, "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 were not identified in these files using the standard LAS Overlap bit. ", "lasintr " :" 16 ", "lasclass " :{ "clascode " :" 1 ", "clasitem " :" Processed, but Unclassified " }, "lasclass " :{ "clascode " :" 2 ", "clasitem " :" Bare Earth Ground " }, "lasclass " :{ "clascode " :" 7 ", "clasitem " :" Low Noise " }, "lasclass " :{ "clascode " :" 9 ", "clasitem " :" Water " }, "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 https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=14092 /details/14092 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://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/14092/index.html WWW:LINK-1.0-http--link Bulk Download Bulk download of data files in LAZ format, projected coordinates, orthometric heights. Note that the vertical datum (hence elevations) of the files here are different than described in this document. They will be in an orthometric datum. download dataset Horizontal Positional Accuracy Not tested 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. 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 DPA specified for this project. This data was provided to the NOAA Office for Coastal Management (OCM) by the Chesapeake Bay NERR (CBNERRVA), for the purpose of making the data publicly available for custom and bulk downloads from the NOAA Digital Coast Data Access Viewer. The boresight was completed prior to project execution. The following steps describe the Raw Data Processing process: 1) Technicians processed the raw data to LAS format flight lines using the final GNSS/IMU solution. This LAS data set was used as source data for lidar matching. 2) 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. 3) Once all lifts were completed with lidar matching, 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). 4) The technicians ran a final vertical accuracy check of the 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, and breaklines were collected for water features. Bare-earth DEMs were exported from the classified point cloud using collected breaklines for hydroflattening. 2025-01-01T00:00:00 LAS Point Classification: The point classification is performed as described below: Bare-earth points are extracted from the point cloud using automated processes in Terrascan. Then the bare-earth surface is manually reviewed to ensure correct classification on the Class 2 (Ground) points. All points determined to be in water are then classified to Class 9 (Water). No overlap points were classified or flagged, and all withheld points were flagged using Terrascan. All data was manually reviewed and any remaining artifacts removed using functionality provided by LP360, TerraScan and TerraModeler. Global Mapper was used as a final check of the bare-earth dataset. GeoCue was then used to create the deliverable industry-standard LAS files. Sanborn Map Company, Inc. uses proprietary software 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. 2025-01-01T00:00:00 Data was tested at 0.26 meter aggregate nominal pulse spacing and at 14.8 aggregate points per meter. The aggregate nominal pulse spacing was tested on classified tiled LAS using geometrically reliable first-return points without overlap. ANPS was tested using Delaunay Triangulation that produced average point spacing between all nearest neighbors. 2025-01-01T00:00:00 Maximum Surface Height Rasters were produced as ancillary data from the classified lidar point cloud in order to evaluate the withheld bit flag proof of performance for points that cannot be reasonably interpreted as valid surface returns. These were produced using all returns, withheld flagged points excluded, and using the highest elevation point value from each pixel. These rasters are 32-bit, floating point format and delivered as GeoTIFF files per tile. Cell size of the MSHR is 2 ft. MSHR are generated from the point cloud data and will not be altered after creation nor will there be further maintenance on this product. 2025-01-01T00:00:00 Swath Separation Imagery was produced for the entire project area. Swath separation images use color-coding to illustrate differences in elevation (z-) values where swaths overlap. The color-coded images are semi-transparent and overlay the lidar intensity image. They are ancillary data used as visual aids to more easily identify regions within point cloud datasets that may have suspect interswath alignment or other geometric issues. Imagery was created using last returns with all classification and bit flags, except for noise and withheld bit flag are included. Images are derived from a TIN and have a 50% transparent RGB layer over lidar intensity. Color intervals are as follows: 0-8cm, green; 8-16cm, yellow; >16cm, red. These files were produced as GeoTIFF tiles using a cell size of 2 ft. SSI are generated from the point cloud data and will not be altered after creation nor will there be further maintenance on this product. 2025-01-01T00:00:00 The NOAA Office for Coastal Management (OCM) received 132 las files from the CBNERRVA. The files were in VA State Plane South NAD83(HARN) feet coordinates and the elevations were in NAVD88 (GEOID18) feet. The LAS files had these classifications: 1 = unclassified; 2 = ground (or Bare Earth); 7 = low noise; 9 = water; 17 = bridges; 18=high noise. NOAA OCM processed all of the point classes to the Digital Coast Data Access Viewer (DAV). OCM performed the following processing on the data for Digital Coast storage and provisioning purposes: 1. Internal OCM scripts were run to check the number of points by classification and by flight ID and the gps, elevation, and intensity ranges. 2. Internal OCM scripts were run on the LAS files to: a. Convert from orthometric (NAVD88) elevations to ellipsoid elevations using the GEOID18 model b. Convert from VA State Plane South NAD83(HARN) feet coordinates to geographic coordinates c. Convert from elevations in feet to elevations in meters 2026-04-20T00:00:00 NOAA Office for Coastal Management (843) 740-1202 coastal.info@noaa.gov processor LAZ Files Chesapeake Bay NERR (CBNERRVA) originator The dataset has been mosaiced, reprojected, and clipped as needed from the original input files using PDAL and GDAL commands. 2026-07-09NOAA Office for Coastal Managementcoastal.info@noaa.govprocessor Riegl VQ-1560 II-S Lidar Sensor The RIEGL VQ-1560 II-S system has a rotating mirror design and high-output dual laser technology, allowing for data collection at a higher altitude and faster speed on large-scale mapping projects and corridor work. This system provides more dense, high-precision data with uniform point distribution and faster acquisition.