gov.noaa.nmfs.inport:52446 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 2026-03-04T19:17:17 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) EPSG::5703 EPSG::6318 2017 USACE NCMP Topobathy Lidar DEM: East Coast (NY, NJ, DE, MD, VA, NC, SC, GA) usace2017_east_coast_dem_m8517_metadata 2017-09-13 publication NOAA/NMFS/EDM 52446 https://www.fisheries.noaa.gov/inport/item/52446 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/#/lidar/search/where:ID=6329 WWW:LINK-1.0-http--link Citation URL Link to custom download the lidar point data from which these raster Digital Elevation Model (DEM) data were created. download https://coast.noaa.gov/dataregistry WWW:LINK-1.0-http--link Citation URL Online Resource download 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 These bare earth Digital Elevation Model (DEM) files along the United States east coast, contain rasterized topobathy lidar elevations at a 1 meter grid size, generated from data collected by the Coastal Zone Mapping and Imaging Lidar (CZMIL) system. CZMIL integrates a lidar sensor with simultaneous topographic and bathymetric capabilities, a digital camera and a hyperspectral imager on a single remote sensing platform for use in coastal mapping and charting activities. Native lidar data is not generally in a format accessible to most Geographic Information Systems (GIS). Specialized in-house and commercial software packages are used to process the native lidar data into 3-dimensional positions that can be imported into GIS software for visualization and further analysis. In addition to the bare earth DEMs, the topobathy lidar point data from which these DEM data were created, are also available. A link to this data is provided in the URL section of this metadata record. DEMs that were created from all classes of points (1, 2, 29) at a 1 meter grid size are available by request via email at: coastal.info@noaa.gov. Original contact information: Contact Org: JALBTCX Title: Data Production Manager Phone: 228-252-1131 Email: JALBTCX@usace.army.mil This data was collected by USACE on behalf of the USACE NCMP to assess elevations above and below water along the east coast of the United States. Acknowledgement of the Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX) would be appreciated in any publications or derived products. 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 asNeeded https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/6329/supplemental/usace2017_east_coast_m6329.kmz This graphic shows the lidar coverage for the 2017 topobathy lidar acquisition along the United States east coast. kmz DOD/USARMY/USACE/SAM/MOBILE/OPJ/JALBTCX > Joint Airborne Lidar Bathymetry Technical Center of Expertise, Mobile District, South Atlantic Division, U.S. Army Corps of Engineers, U.S. Army, U.S. Department of Defense dataCentre Global Change Master Directory (GCMD) Data Center Keywords 17.0 EARTH SCIENCE > HUMAN DIMENSIONS > ENVIRONMENTAL GOVERNANCE/MANAGEMENT > LAND MANAGEMENT > LAND USE CLASSES EARTH SCIENCE > LAND SURFACE > GEOMORPHIC LANDFORMS/PROCESSES EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > BATHYMETRY EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > SEAFLOOR TOPOGRAPHY EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION theme Global Change Master Directory (GCMD) Science Keywords 17.0 CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > DELAWARE CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > GEORGIA CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > MARYLAND CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > NEW JERSEY CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > NEW YORK CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > NORTH CAROLINA CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > SOUTH CAROLINA CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > VIRGINIA VERTICAL LOCATION > LAND SURFACE VERTICAL LOCATION > SEA FLOOR Models/Analyses > DEM > Digital Elevation Model Spatial Data Branch United States Army place Global Change Master Directory (GCMD) Location Keywords 20.8 LIDAR > Light Detection and Ranging instrument Global Change Master Directory (GCMD) Instrument Keywords 17.2 DEM IWG-OCM National Coastal Mapping Program (NCMP) U.S. Army Corps of Engineers (USACE) grid theme 2017 August July June September temporal DEMs - partner (no harvest) project InPort otherRestrictions Cite As: OCM Partners, [Date of Access]: 2017 USACE NCMP Topobathy Lidar DEM: East Coast (NY, NJ, DE, MD, VA, NC, SC, GA) [Data Date Range], https://www.fisheries.noaa.gov/inport/item/52446. 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: These data have been developed from the best available sources. Although efforts have been made to ensure that the data are accurate and reliable, errors and variable conditions originating from physical sources used to develop the data may be reflected in the data supplied. Users must be aware of these conditions and bear responsibility for the appropriate use of the information with respect to possible errors, scale, resolution, rectification, positional accuracy, development methodology, time period, environmental and climatic conditions and other circumstances specific to these data. The user is responsible for understanding the accuracy limitations of the data provided herein. The burden for determining fitness for use lies entirely with the user. The user should refer to the accompanying metadata notes for a description of the data and data development procedures. otherRestrictions Use Constraints: These data depict the heights at the time of the survey and are only accurate for that time. Acknowledgement of the Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX) would be appreciated in any publications or derived products. The data herein, including but not limited to geographic data, tabular data, analytical data, electronic data structures or files, are provided "as is" without warranty of any kind, either expressed or implied, or statutory, including, but not limited to, the implied warranties or merchantability and fitness for a particular purpose. The entire risk as to the quality and performance of the data is assumed by the user. No guarantee of accuracy is granted, nor is any responsibility for reliance thereon assumed. In no event shall the U.S. Army Corps of Engineers, Mobile District Office, Spatial Data Branch be liable for direct, indirect, incidental, consequential or special damages of any kind, including, but not limited to, loss of anticipated profits or benefits arising out of use of or reliance on the data. The Spatial Data Branch does not accept liability for any damages or misrepresentation caused by inaccuracies in the data or as a result of changes to the data caused by system transfers or other transformations or conversions, nor is there responsibility assumed to maintain the data in any manner or form. Users should be aware that temporal changes may have occurred since this dataset was collected and that some parts of these data may no longer represent actual surface conditions. Users should not use these data for critical applications without a full awareness of its limitations. otherRestrictions Distribution Liability: These data have been developed from the best available sources. Although efforts have been made to ensure that the data are accurate and reliable, errors and variable conditions originating from physical sources used to develop the data may be reflected in the data supplied. Users must be aware of these conditions and bear responsibility for the appropriate use of the information with respect to possible errors, scale, resolution, rectification, positional accuracy, development methodology, time period, environmental and climatic conditions and other circumstances specific to these data. The user is responsible for understanding the accuracy limitations of the data provided herein. The burden for determining fitness for use lies entirely with the user. The user should refer to the accompanying metadata notes for a description of the data and data development procedures. Any conclusions drawn from the analysis of this information are not the responsibility of JALBTCX, the Office for Coastal Management, or its partners. unclassified 2017 USACE NCMP Topobathy Lidar: East Coast (NY, NJ, DE, MD, VA, NC, SC, GA) NOAA/NMFS/EDM 52444 crossReference NOAA Data Management Plan (DMP) NOAA/NMFS/EDM 52446 https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/52446.pdf WWW:LINK-1.0-http--link NOAA Data Management Plan (DMP) NOAA Data Management Plan for this record on InPort. information crossReference grid eng; US elevation imageryBaseMapsEarthCover oceans Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.1.0.3035 -81.209168 -71.848475 31.504893 41.080908 Maryland, North Carolina, Georgia | Currentness: Ground Condition 2017-06-09 2017-09-16 Virginia | Currentness: Ground Condition 2017-06-26 2017-09-16 South Carolina | Currentness: Ground Condition 2017-07-09 2017-08-07 Delaware | Currentness: Ground Condition 2017-08-16 2017-08-19 New Jersey | Currentness: Ground Condition 2017-08-19 2017-09-15 New York | Currentness: Ground Condition 2017-09-07 2017-09-16 Zip Zip GeoTIFF 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=8517 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.us-east-1.amazonaws.com/dem/USACE_East_Coast_DEM_2017_8517/index.html WWW:LINK-1.0-http--link Bulk Download Download of data files. download dataset Horizontal Positional Accuracy CZMIL topographic data - Compiled to meet 1 m horizontal accuracy at 95% confidence level. CZMIL bathymetric data - Compiled to meet 3.5 + 0.05d m horizontal accuracy at 95% confidence level, d is depth. JALBTCX evaluates the horizonal accuracy of the final data coverage against availlable basemap imagery products. The final lidar point cloud is gridded according to proceedures defined in the JALBTCX Standard Operating Guide and Appendices (SOGA). The grid products are then visually compared to basemap imagery products to verify the horizontal positions of large buildings and other urban features with the data coverage. No discernable offsets or horizontal shifts were found during visual inspecton of the lidar-derived grid products against basemap imagery products. Vertical Positional Accuracy CZMIL topographic data - Compiled to meet 19.6 cm vertical accuracy at 95% confidence level. CZMIL bathymetric shallow FOV data - Compiled to meet SQRT((0.20^2) +((0.0075d)^2)) m vertical accuracy at 95% confidence level, d is depth. CZMIL bathymetric deep FOV data - Compiled to meet SQRT((0.30^2) +((0.013d)^2)) m vertical accuracy at 95% confidence level, d is depth. JALBTCX evaluates the vertical accuracy of the final data coverage against traditional ground-truth data. Ground-truth data is acquired and utilized according to specifications outlined in the JALBTCX Standard Operating Guide and Appendices (SOGA) as well as the USGS Lidar BaseSpecification. The final lidar point cloud at every project ground-truth location is compared against ground-truth points in the 'bare_ground' class. Comparisons are performed in the QCoherent LP360 software package, and the final results are output to JALBTCX's Ground Truth Comparison Report. Data passes assessments against ground-truth points. Quantitation Limits JALBTCX evaluates final data coverage using techniques that are common to the lidar industry. These techniques are performed in a 3D environment for visual review of the final data coverage and verification of data alongside lidar waveforms and imagery collected concurrent with the lidar. Data reviewers perform checks to verify (1) extreme high and/or low elevation values have been invalidated, (2) elevations in areas of swath overlap are internally consistent, (3) binned standard deviation values meet CZMIL specifications, (4) point cloud classifications are valid, and (4) CZMIL processing modes are valid. Completeness Report Planned data coverage for this dataset included a 1500-meter swath of the United States east coast shoreline. Topographic lidar coverage was obtained from the shoreline onshore 500 meters. Bathymetric lidar coverage extends from the shoreline offshore 1000 meters or to laser exinction, whichever occurs first. The planned data densitiy is 70 centimeters on land and in shallow water. In deeper water the planned data density decreases to 2 meters. Gaps or data holidays may exist in the data coverage. They arise due to a number of operational and environmental conditions, including but not limited to, airspace restrictions, high terrain, active surf, low-reflectivity bottom substrate materials and turbidity in the water column. Please see the Report of Survey for additional details. These data were collected using the CZMIL system. It is owned and operated by the U.S. Army Corps of Engineers (USACE). The system collects topobathy lidar data at 10 kHz and RGB imagery at 2 Hz. A CASI-1500 hyperspectral line scanner is integrated with the system as well. Aircraft position, velocity and acceleration information are collected through a combination of Novatel and POS A/V 510 equipment. All raw data streams are transferred to the office for downloading and processing in CZMIL’s Hydro Fusion software. Aircraft position data are processed using POSPac software and the results are combined with the lidar data to produce 3-D positions for each lidar shot. Upon inspection and QA/QC in the software packages Fledermaus and PFM_ABE, anomalous data are flagged as invalid and have the withheld bit set. PFM_ABE software then exports valid lidar data as a series of unclassified LAS files. 2017-06-09T00:00:00 LAS files are imported into TerraScan V13 module within Microstation V8i, classifies valid topobathy data as ground points (2) and unclassified points (1), and valid bathymetric points (29). Upon completion the macro, the classification results undergo quality control and any misclassified points are manually edited. In areas of dense vegetation the bare earth ground points might be incorrectly classified due to the inability of the laser to penetrate the canopy and reach the bare ground. In these areas, JALBTCX defaults to the algorithm’s “ground” surface instead of manually reclassifying those points. They are partitioned into a series of 1-km delivery boxes, one Classified LAS file per box. The format of the file is LAS version 1.2. Data are classified as 1 (valid non-ground topographic data), 2 (valid ground topographic data), and 29 (valid bathymetric data). 2017-11-01T00:00:00 Data classified as ground points (2), and bathymetric points (29) in the las files are converted to a grid by generating a triangulated irregular network (TIN) and then extracting the grid node elevations from the TIN surface. The origin point of the grid is located at a horizontal position whose value is evenly divisible by the 1m grid resolution such that rasters from subsequent surveys have common cell boundaries. JALBTCX uses Quick Terrain Modeler V8 to perform this operation utilizing the following parameters; “Legacy Triangulation”, "Max Sample Excursion - 30000”, “Max Triangle Side – 30000”, and “Tiling Settings Snap to Grid (Expand)." The grid is exported from Quick Terrain Modeler as an ESRI ASCII Z grid file. Utilizing an in-house python script within ESRI ArcMap V10.2, the ASCII Z grid file is converted to a tif-format raster file whose projection is defined as “The North American Datum of 1983 (2011).” The raster is then multiplied against a corresponding 1m Grid mask raster, a mask image produced from JALBTCX’s 1m Grid, in ESRI’s Raster Calculator to remove interpolated areas where data does not exist. 2018-04-17T00:00:00 The NOAA Office for Coastal Management (OCM) received the data for the United States east coast project area in tif format in multiple shipments from JALBTCX. Data for New Jersey were received and processed in April 2018. Data for Delaware, Maryland, and New York were received and processed in August 2018. Data for South Carolina were received and processed in February 2019. Data for Virginia and replacement data for Maryland were received and processed in November 2019. Data for North Carolina and Georgia were received and processed in January 2020. The bare earth raster files were at a 1 m grid spacing. The data were in geographic coordinates and orthometric (NAVD88) elevations in meters. OCM assigned the EPSG codes (5703 vertical and 6318 horizontal) and copied the raster files to https for Digital Coast storage and provisioning purposes. 2020-01-24T00:00:00 Office for Coastal Management processor