gov.noaa.nmfs.inport:49999 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 2024-12-17T14:42:29 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) NAD83(NSRS2007) / UTM zone 17N2008-11-12publicationEuropean Petroleum Survey Grouphttps://apps.epsg.org/api/v1/CoordRefSystem/3724/export/?format=gmlurn:ogc:def:crs:EPSG:37246.18.3 2013 South Carolina DNR Lidar: Beaufort County sc2013_scdnr_beaufort_m5104_metadata 2013-08 publication NOAA/NMFS/EDM 49999 https://www.fisheries.noaa.gov/inport/item/49999 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/laz/geoid18/5104/breaklines/sc2013_dnr_beaufort_m5104_breaklines.gpkg.zip WWW:LINK-1.0-http--link Breaklines GPKG Breaklines in GeoPackage format created from the GeoDatabase version using ogr2ogr. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/5104/breaklines/sc2013_dnr_beaufort_m5104_breaklines.gdb.zip WWW:LINK-1.0-http--link breaklines Breaklines in zipped geodatabase format as delivered. These have not been checked for accuracy by NOAA. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/5104/supplemental/sc2013_scdnr_beaufort_m5104_projectreport.pdf WWW:LINK-1.0-http--link Project report Project report produced by Dewberry (prime contractor) download https://coast.noaa.gov/dataviewer WWW:LINK-1.0-http--link Citation URL Online Resource download LMSI provided high accuracy, calibrated multiple return LiDAR for roughly 785 square miles covering Beaufort County, South Carolina. The nominal point spacing for this project was at least 4 points per square meter. Dewberry used proprietary procedures to classify the LAS according to project specifications: 1-Unclassified, 2-Ground, 7-Noise, 8-Model Key Points, 9-Water, 10-Ignored Ground, 11-Withheld Points, 13-Bridges and Culverts. Dewberry produced 3D breaklines and combined these with the final LiDAR data to produce seamless hydro-enforced DEMs for the 982 tiles (5000 ft x 5000 ft) that cover the project area. 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. The purpose of this LiDAR data was to produce high accuracy 3D elevation products, including tiled LiDAR in LAS 1.2 format, 3D breaklines, and 5 ft cell size hydro-enforced Digital Elevation Models (DEMs). 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/geoid18/5104/supplemental/sc2013_scdnr_beaufort_m5104.kmz This graphic shows the lidar coverage for the 2013 lidar project covering Beaufort County, South Carolina. kmz 2013 temporal Lidar - partner (no harvest) project InPort otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2025-06-24 from the NOAA system. Cite As: OCM Partners, [Date of Access]: 2013 South Carolina DNR Lidar: Beaufort County [Data Date Range], https://www.fisheries.noaa.gov/inport/item/49999. 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 This data set was compiled dynamically. It will be removed 10 days after 2025-06-24 from the NOAA system. Access Constraints: None otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2025-06-24 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. These data depict the heights at the time of the survey and are only accurate for that time. otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2025-06-24 from the NOAA system. Distribution Liability: Any conclusions drawn from the analysis of this information are not the responsibility of Towill Inc., Dewberry, SC DNR, NOAA, the Office for Coastal Management or its partners. unclassified 2013 South Carolina DNR Lidar DEM: Beaufort County NOAA/NMFS/EDM 57197 crossReference NOAA Data Management Plan (DMP) NOAA/NMFS/EDM 49999 https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/49999.pdf WWW:LINK-1.0-http--link NOAA Data Management Plan (DMP) NOAA Data Management Plan for this record on InPort. information crossReference vector eng; US elevation -81.019529 -80.401518 32.072336 32.707084 | Currentness: Ground Condition 2013-03-06 2013-04-20 A complete description of this dataset is available in the Final Project Report submitted to the SC Dept of Natural Resources. A delivery report for this project is available at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/5104/supplemental/sc2013_scdnr_beaufort_m5104_deliveryreport.pdf A lidar report for this project is available at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/5104/supplemental/sc2013_scdnr_beaufort_m5104_lidarreport.pdf A footprint of this data set may be viewed in Google Earth at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/5104/supplemental/sc2013_scdnr_beaufort_m5104.kmz 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=5104 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/geoid18/5104/index.html WWW:LINK-1.0-http--link Bulk Download Simple download of data files. download dataset Horizontal Positional Accuracy Lidar source compiled to meet 1 m horizontal RMSE.; Quantitative Value: 1.0 meters, Test that produced the value: Dewberry does not perform independent horizontal accuracy testing on the LiDAR. LiDAR vendors perform calibrations on the LiDAR sensor and compare data to adjoining flight lines to ensure LiDAR meets the 1 m horizontal accuracy standard at the 95% confidence level. Please see the final project report for more details. Vertical Positional Accuracy The vertical accuracy of the LiDAR was not tested by Dewberry. SC Dept of Natural Resources will contract for an independent quality review and accuracy assessment study of the elevation data and products generated for this project.; Quantitative Value: 0.06 meters, Test that produced the value: Dewberry does not perform independent horizontal accuracy testing on the LiDAR. LiDAR vendors perform calibrations on the LiDAR sensor and compare data to adjoing flight lines to ensure LiDAR meets the 0.6 meter horizontal accuracy standard at the 95% confidence level. Completeness Report A visual qualitative assessment was performed to ensure data completeness and bare earth data cleanliness. No void or missing data, the bare earth surface is of good quality and data passes vertical accuracy specifications. Conceptual Consistency Data covers the tile scheme provided for the project area. Data for the South Carolina Dept of Natural Resources project was acquired by Laser Mapping Specialist, Inc. (LMSI) The project area included approximately 785 contiguous square miles for Beaufort County, South Carolina. The data was delivered in the South Carolina State Plane (International Feet) coordinate system, horizontal datum NAD83 (NSRS 2007), vertical datum NAVD88, Geoid 09, Feet. Lidar ground points for each flightline generated by an automatic classification routine are used. LiDAR sensor data were collected with the Optech ALTM3100EA LiDAR system. No imagery was requested or delivered. Deliverables for the project included a raw (unclassified) calibrated LiDAR point cloud, survey control, and a final control report. Overall the LiDAR data products collected by LMSI meet or exceed the requirements set out in the Statement of Work. The quality control requirements of LMSIs quality management program were adhered to throughout the acquisition stage of this project to ensure product quality. LIDAR acquisition began on March 6, 2013 (julian day 065) and was completed on April 20, 2013 (julian day 079). A total of 16 survey missions were flown to complete the project. The flight plan was flown as planned with no modifications. There were no unusual occurrences during the acquisition and the sensor performed within specifications. There were 203 flight lines required to complete the project. Project coverage was checked on site with no data gaps except for water features. Two base stations were utilized. The base station in the north west portion of the project was named G7_203. The base station on the central portion of the project was named GG. Thirty (30) static points were surveyed at various locations throughout the project to be utilized for quality control and adjustment of the LiDAR data. All airborne trajectories were very high quality with forward/reverse separation between 2cm-5cm. All equipment performed within specifications with no unusual occurances or anamolies. All data was of a very high quality and the project was executed as planned. 2013-03-06T00:00:00 Dewberry utilizes a variety of software suites for inventory management, classification, and data processing. All LiDAR related processes begin by importing the data into the GeoCue task management software. The swath data is tiled according to project specifications (5000 ft x 5000 ft). The tiled data is then opened in Terrascan where Dewberry uses proprietary ground classification routines to remove any non-ground points and generate an accurate ground surface. Before the actual ground routine is run points with scan angles greater than plus or minus 18 degrees are classified to class 11, withheld. Due to these higher scan angles these points have the potential to introduce issues into the ground and are therefore not used in the final ground surface. The ground routine consists of three main parameters (building size, iteration angle, and iteration distance); by adjusting these parameters and running several iterations of this routine an initial ground surface is developed. The building size parameter sets a roaming window size. Each tile is loaded with neighboring points from adjacent tiles and the routine classifies the data section by section based on this roaming window size. The second most important parameter is the maximum terrain angle, which sets the highest allowed terrain angle within the model. Once the ground routine has been completed a manual quality control routine is done using hillshades, cross-sections, and profiles within the Terrasolid software suite. After this QC step, a peer review and supervisor manual inspection is completed on a percentage of the classified tiles based on the project size and variability of the terrain. After the ground classification corrections were completed, the dataset was processed through a water classification routine that utilizes breaklines compiled by Dewberry to automatically classify hydrographic features. The water classification routine selects ground points within the breakline polygons and automatically classifies them as class 9, water. During this water classification routine, points that are within 1 foot of the hydrographic features are moved to class 10, an ignored ground due to breakline proximity. The fully classified dataset is then processed through Dewberry's comprehensive quality control program. The data was classified as follows: Class 1 = Unclassified. This class includes vegetation, buildings, noise etc. Class 2 = Ground Class 7 = Noise Class 8 = Model Key Points Class 9 = Water Class 10 = Ignored Class 11 = Withheld Points Class 13 = Bridges and Culverts The LAS header information was verified to contain the following: Class (Integer) Adjusted GPS Time (0.000001 seconds) Easting (0.001 ft) Northing (0.001 ft) Elevation (0.001 ft) Echo Number (Integer 1 to 4) Echo (Integer 1 to 4) Intensity (8 bit integer) Flight Line (Integer) Scan Angle (Integer degree) 2013-07-01T00:00:00 The NOAA Office for Coastal Management (OCM) received the files in LAZ format from the South Carolina Department of Natural Resources (SCDNR) via a HDD. The files contained lidar elevation and intensity measurements. The data were in State Plane Zone 3900, NAVD88 (orthometric) heights in feet. OCM performed the following processing for data storage and Digital Coast provisioning purposes: 1. The data were converted from State Plane coordinates to geographic coordinates. 2. The data were converted from NAVD88 (orthometric) heights in meters to GRS80 (ellipsoid) heights in meters using Geoid 09. 3. Classes 11 and 13 were reclassified to 15 to 17 respectively. 4. Erroneous elevations were removed. 2015-10-01T00:00:00 The dataset has been mosaiced, reprojected, and clipped as needed from the original input files using PDAL and GDAL commands. 2025-06-24NOAA Office for Coastal Managementcoastal.info@noaa.govprocessor