gov.noaa.nmfs.inport:59232 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 2026-04-30T00:00:00 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) point 386169237445 2017 USGS Lidar: Olympic Peninsula, WA 2019-11-13 publication NOAA/NMFS/EDM 59232 https://www.fisheries.noaa.gov/inport/item/59232 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/geoid18/9072/supplemental/Olympic_Peninsula_3DEP_Area_1A_LiDAR_Technical_Data_Report_Signed.pdf WWW:LINK-1.0-http--link Dataset report Link to data set report. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9072/supplemental/Olympic_Peninsula_3DEP_Area_3_LiDAR_Technical_Data_Report.pdf WWW:LINK-1.0-http--link Dataset report Link to data set report. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9072/supplemental/Olympic_Peninsula_3DEP_Area_1_LiDAR_Technical_Data_Report_revised_110419.pdf WWW:LINK-1.0-http--link Dataset report Link to data set report. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9072/supplemental/Olympic_Peninsula_3DEP_Area_2_LiDAR_Technical_Data_Report.pdf WWW:LINK-1.0-http--link Dataset report Link to data set report. 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 In August 2017, Quantum Spatial (QSI) was contracted by the United States Geological Survey (USGS) to collect Light Detection and Ranging (LiDAR) data for the Olympic Peninsula 3DEP QL1 LiDAR project site in the state of Washington. The Olympic Peninsula 3DEP LiDAR project area covers approximately 3.4 million acres ( 5,352 square miles) in northwestern Washington split into four areas. The target point density for each study area is ≥8.0 points/m^2 (0.74 points/ft^2). Ground Conditions: Acquisition below aircraft free of smoke, fog and cloud cover. Ground Control Points were acquired and calibrated by Quantum Spatial, Inc. Tidal Conditions: The Olympic Peninsula project area is bounded by miles of coastline and includes many tidally influenced lakes and river deltas. Since the project was acquired over many months, it is expected that there is data captured at varying tide levels which lends issues to the hydroflattening process. To accommodate these tidal and temporal differences, it is not uncommon to "stair-step" the flattened water surface to most accurately reflect the different missions in the project while capturing as much ground as permitted. Please reference section C.1.c.(ii).(d) of the task order and the Hydroflattening section of the USGS LiDAR Base Specification, V. 1.2 for more information. Task Name: WA Olympic Peninsula LiDAR 2017 B17, USGS Contract: G16PC00016, Task Order: G17PD00827 The purpose of the lidar data was to produce a high accuracy 3D dataset that meets all necessary standards laid out by the Olympic Peninsula 3DEP contract. The raw lidar point cloud data were used to create classified lidar LAS files, intensity images, hydro-flattened DEMs, and 3D breaklines of rivers, lakes, coastlines and bridges within the study area. Quantum Spatial, Inc. 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/geoid18/9072/supplemental/extent_Olympic_WA_m9072.kmz This graphic displays the footprint for this lidar data set. KML EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > BATHYMETRY > COASTAL BATHYMETRY 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 > WASHINGTON VERTICAL LOCATION > LAND SURFACE VERTICAL LOCATION > SEA FLOOR Continent > North America > United States Of America > Washington > U.S. Coastline 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 Continent > North America > United States Of America > Washington > Grays Harbor County Continent > North America > United States Of America > Washington > Lewis County Continent > North America > United States Of America > Washington > Olympic Peninsula Continent > North America > United States Of America > Washington > Pacific County Continent > North America > United States Of America > Washington > Wahkiakum County place Lidar - partner (no harvest) project InPort otherRestrictions Cite As: OCM Partners, [Date of Access]: 2017 USGS Lidar: Olympic Peninsula, WA [Data Date Range], https://www.fisheries.noaa.gov/inport/item/59232. 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: 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 vector .35 eng; US elevation POSPac 8.1, RiProcess 1.8.4, RiWorld 5.1.3, SDC Import 2.2.5, Waypoint Inertial Explorer 8.7, Leica Cloudpro 1.2.4, Microstation Version 10.0, TerraScan Version 18, TerraModeler Version 18, TerraMatch Version 18, ESRI ArcGIS 10.3.1, LasMonkey 2.3.4 (Proprietary), Las Product Creator 3.1 (Proprietary), Windows 7 Operating System -124.8 -122.4503 46.0888 48.4478 Lidar collection date time span | Currentness: Ground Condition 2017-09-14 2018-12-05 USGS Contract No. G16PC00016 CONTRACTOR: Quantum Spatial, Inc. Ground Control Points were acquired and calibrated by Quantum Spatial, Inc. Data acquisition was coordinated by Quantum Spatial. Quantum Spatial, Eagle Aerial, and Airborne Imaging all acquired portions of this project area. All lidar data calibration, and follow-on processing were completed by Quantum Spatial. The following are the USGS lidar fields in JSON: { "ldrinfo" : { "ldrspec" : "U.S. Geological Survey National Geospatial Program LIDAR Base Specification, Version 1.2", "ldrsens" : "Riegl Q1560 and VQ-1560i", "ldrmaxnr" : "Unlimited", "ldrnps" : "0.7", "ldrdens" : "4", "ldranps" : "0.35", "ldradens" : "8", "ldrfltht" : "1200", "ldrfltsp" : "170", "ldrscana" : "58.5", "ldrscanr" : "107 lines per second", "ldrpulsr" : "400", "ldrpulsd" : "3", "ldrpulsw" : "0.9", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "0.25", "ldrswatw" : "1344", "ldrswato" : "60", "ldrgeoid" : "National Geodetic Survey (NGS) Geoid03", "ldrcrs" : "NAD_1983_HARN_StatePlane_Washington_South_FIPS_4602_Feet" }, "ldrinfo" : { "ldrspec" : "U.S. Geological Survey National Geospatial Program LIDAR Base Specification, Version 1.2", "ldrsens" : "Riegl Q780", "ldrmaxnr" : "Unlimited", "ldrnps" : "0.7", "ldrdens" : "4", "ldranps" : "0.35", "ldradens" : "8", "ldrfltht" : "1300", "ldrfltsp" : "140", "ldrscana" : "58.5", "ldrscanr" : "207 lines per second", "ldrpulsr" : "400", "ldrpulsd" : "3", "ldrpulsw" : "0.9", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "0.25", "ldrswatw" : "1456", "ldrswato" : "60", "ldrgeoid" : "National Geodetic Survey (NGS) Geoid03", "ldrcrs" : "NAD_1983_HARN_StatePlane_Washington_South_FIPS_4602_Feet" }, "ldrinfo" : { "ldrspec" : "U.S. Geological Survey National Geospatial Program LIDAR Base Specification, Version 1.2", "ldrsens" : "ALS 80", "ldrmaxnr" : "Unlimited", "ldrnps" : "0.7", "ldrdens" : "4", "ldranps" : "0.35", "ldradens" : "8", "ldrfltht" : "1550", "ldrfltsp" : "120", "ldrscana" : "40", "ldrscanr" : "48", "ldrpulsr" : "341.6", "ldrpulsd" : "2.5", "ldrpulsw" : "0.9", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "0.22", "ldrswatw" : "1128", "ldrswato" : "60", "ldrgeoid" : "National Geodetic Survey (NGS) Geoid03", "ldrcrs" : "NAD_1983_HARN_StatePlane_Washington_South_FIPS_4602_Feet" }, "ldrinfo" : { "ldrspec" : "U.S. Geological Survey National Geospatial Program LIDAR Base Specification, Version 1.2", "ldrsens" : "Riegl VQ-1560i", "ldrmaxnr" : "Unlimited", "ldrnps" : "0.7", "ldrdens" : "4", "ldranps" : "0.35", "ldradens" : "8", "ldrfltht" : "1650", "ldrfltsp" : "160", "ldrscana" : "58.5", "ldrscanr" : "Auto", "ldrpulsr" : "400", "ldrpulsd" : "3", "ldrpulsw" : "0.9", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "0.25", "ldrswatw" : "1848", "ldrswato" : "60", "ldrgeoid" : "National Geodetic Survey (NGS) Geoid03", "ldrcrs" : "NAD_1983_HARN_StatePlane_Washington_South_FIPS_4602_Feet" }, "ldraccur" : { "ldrchacc" : "0.457", "rawnva" : "0.081", "rawnvan" : "68", "clsnva" : "0.086", "clsnvan" : "68", "clsvva" : "0.219", "clsvvan" : "55" }, "lasinfo" : { "lasver" : "1.4", "lasprf" : "6", "laswheld" : "Withheld points were identified in these files using the standard LAS Withheld bit.", "lasolap" : "Swath overage points were 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" : "NIR Water Surface" }, "lasclass" : { "clascode" : "17", "clasitem" : "Bridge Decks" }, "lasclass" : { "clascode" : "20", "clasitem" : "Ignored Ground Near Breaklines" }, "lasclass" : { "clascode" : "22", "clasitem" : "Temporal Exclusion" } }} Zip Zip LAS/LAZ - LASer Zip 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=9072 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/geoid18/9072/index.html WWW:LINK-1.0-http--link Bulk Download Bulk download of data files in LAZ format, geographic 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 LiDAR horizontal accuracy is a function of Global Navigation Satellite System (GNSS) derived positional error, flying altitude, and INS-derived attitude error. The obtained RMSEr value is multiplied by a conversion factor of 1.7308 to yield the horizontal component (ACCr) of the National Standards for Spatial Data Accuracy (NSSDA) reporting standard where a theoretical point will fall within the obtained radius 95 percent of the time. Using a maximum flying height of 1,650m, this data set was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 6.8 cm RMSEx / RMSEy Horizontal Accuracy Class which equates to Positional Horizontal Accuracy = +/- 45.7 cm at a 95% confidence level. Vertical Positional Accuracy The project specifications require that Non-Vegetated Vertical Accuracy (NVA) be computed for raw lidar point cloud swath files. The required accuracy (ACCz) is: 19.6 cm at a 95% confidence level, derived according to NSSDA, i.e., based on RMSE of 10 cm in the “bare earth” and "urban" land cover classes. The NVA was tested with 82 checkpoints located in bare earth and urban (non-vegetated) areas. These check points were not used in the calibration or post processing of the lidar point cloud data. The checkpoints were distributed throughout the project area and were surveyed using GPS techniques. See survey report for additional survey methodologies. Elevations from the unclassified lidar surface were measured for the x,y location of each check point. Elevations interpolated from the lidar surface were then compared to the elevation values of the surveyed control points. AccuracyZ has been tested to meet 19.6 cm or better Non-Vegetated Vertical Accuracy at 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines. For the Olympic Peninsula Area 1 survey, 82 ground check points were withheld from the calibration and post processing of the LiDAR point cloud, with resulting non-vegetated vertical accuracy of 0.337 feet (0.103 meters) as compared to unclassified LAS, and 0.271 feet (0.083 meters) as compared to the bare earth DEM, with 95% confidence. For the Olympic Peninsula Area 1A survey, 29 quality assurance points tested 0.255 feet (0.078 meters) vertical accuracy at the 95 percent confidence level as compared to the bare earth DEM (Figure 8). As compared to the unclassified point cloud, 29 quality assurance points tested 0.276 feet (0.084 meters) vertical accuracy at the 95 percent confidence level. For the Olympic Peninsula Area 2 survey, 331 ground check points were withheld from the calibration and post processing of the LiDAR point cloud, with resulting non-vegetated vertical accuracy of 0.266 feet (0.081 meters) as compared to unclassified LAS, and 0.282 feet (0.086 meters) as compared to the bare earth DEM, with 95% confidence. For the Olympic Peninsula Area 3 survey, 61 ground check points were withheld from the calibration and post processing of the LiDAR point cloud, with resulting non-vegetated vertical accuracy of 0.348 feet (0.106 meters) as compared to unclassified LAS, and 0.268 feet (0.082 meters) as compared to the bare earth DEM, with 95% confidence. Completeness Report LAS files include all data points collected. No points have been removed or excluded. Shaded relief images have been visually inspected for data errors such as pits, border artifacts, and shifting. Lidar flight lines have been examined to ensure consistent elevation values across overlapping flight lines. The raw point cloud is of good quality and data passes Non Vegetated Vertical Accuracy specifications. Conceptual Consistency Classified LAS files were tested by QSI for both vertical and horizontal accuracy. All data is seamless from one tile to the next, no gaps or no data areas. LiDAR Pre-Processing: 1. Review flight lines and data to ensure complete coverage of the study area and positional accuracy of the laser points. 2. Resolve kinematic corrections for aircraft position data using kinematic aircraft GPS and static ground GPS data. 3. Develop a smoothed best estimate of trajectory (SBET) file that blends post-processed aircraft position with sensor head position and attitude recorded throughout the survey. 4. Calculate laser point position by associating SBET position to each laser point return time, scan angle, intensity, etc. Create raw laser point cloud data for the entire survey in *.las format. Convert data to orthometric elevations by applying a geoid correction. 5. Import raw laser points into manageable blocks to perform manual relative accuracy calibration and filter erroneous points. Classify ground points for individual flight lines. 6. Using ground classified points per each flight line, test the relative accuracy. Perform automated line-to-line calibrations for system attitude parameters (pitch, roll, heading), mirror flex (scale) and GPS/IMU drift. Calculate calibrations on ground classified points from paired flight lines and apply results to all points in a flight line. Use every flight line for relative accuracy calibration. 7. Adjust the point cloud by comparing ground classified points to supplemental ground control points. 2019-04-25T00:00:00 LiDAR Post-Processing: 1. Classify data to ground and other client designated classifications using proprietary classification algorithms. 2. Manually QC data classification 3. After completion of classification and final QC approval, calculate NVA and VVA, and density information for the project. 2019-04-25T00:00:00 The NOAA Office for Coastal Management (OCM) downloaded this data set from this USGS rockyFTP website. The number of files downloaded and processed was 11,592. The data were in Washington State Plane South (NAD83 CORS96) coordinates and NAVD88 (Geoid03) elevations with all units in US Survey Feet. The data were classified as: 1 - Unclassified, 2 - Ground, 7 - Low Noise, 9 - Water, 10 - Ignored Ground, 17 - Bridge Decks. OCM processed all classifications of points to the Digital Coast Data Access Viewer (DAV). OCM performed the following processing on the data for Digital Coast storage and provisioning purposes: 1. An internal OCM script was run to check the number of points by classification and by flight ID and the gps and intensity ranges. 2. Internal OCM scripts were run on the laz files to convert from orthometric (NAVD88) elevations to ellipsoid elevations using the Geoid03 model, to convert from Washington State Plane South (NAD83 CORS96) coordinates in US Survey Feet to geographic coordinates, to assign the geokeys, to sort the data by gps time and zip the data to database and to http. Office for Coastal Management processor Lidar Quantum Spatial, Inc. originator