gov.noaa.nmfs.inport:63373 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 2026-03-04T19:17:17 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) point 103374636016 NAD83(2011) / UTM zone 10N2008-11-12publicationEuropean Petroleum Survey Grouphttps://apps.epsg.org/api/v1/CoordRefSystem/6339/export/?format=gmlurn:ogc:def:crs:EPSG:63396.18.3 2018 - 2019 USGS Lidar: Washington FEMA QL2 wa2018_fema_ql2_m9211_metadata.xml 2019-10-28 publication NOAA/NMFS/EDM 63373 https://www.fisheries.noaa.gov/inport/item/63373 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/geoid18/9211/supplemental/WA_FEMA_HQ_2018_Cumulative_LiDAR_Technical_Data_Report_FINAL.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/geoid18/9211/breaklines/ WWW:LINK-1.0-http--link Breaklines Link to the breaklines. 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: Washington FEMA HQ Classified Lidar point cloud. Geographic Extent: This dataset and derived products encompass the Washington FEMA HQ Lidar dataset, an area covering approximately 3,450,211 acres of QL2 data in Washington State spanning both UTM Zones 10 and 11 in the following 5 counties: Whitman, Skamania, Cowlitz, Clark, and Klickitat. A QL1 survey area in Pend Orielle County was also part of this collection and covers approximately 6,519 acres but is not included in this data set because it was collected using QL1 criteria. A link to the metadata record for the QL1 survey area is provided in the Related Items field at the end of this metadata record. Dataset Description: RAW flight line swaths were processed to create classified LAS 1.4 files projected in UTM Zones 10 and 11 and delineated in 1,000m x 1,000m tiles. (Please note the following tiles do not exist as no points fall within their boundaries due their small size and/or the fact they fall completely over water: 10TGR1465, 10TER6244) Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Additional derived products include intensity images, hydro-flattened DEMs, 3D breaklines of rivers and lakes, and bridges within the study area. Ground Conditions: Ground condition was free of snow. Acquisition below aircraft free of smoke, fog and cloud cover. Ground Control Points were acquired and calibrated by Quantum Spatial, Inc. The NOAA Office for Coastal Management (OCM) downloaded the: 1. Lidar point data from this USGS site: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/WA_FEMAHQ_2018_D18/WA_FEMAHQ_B1_QL2_2018/LAZ/ ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/WA_FEMAHQ_2018_D18/WA_FEMAHQ_B2A_2018/LAZ/ ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/WA_FEMAHQ_2018_D18/WA_FEMAHQ_B2B_2018/LAZ/ ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/WA_FEMAHQ_2018_D18/WA_FEMAHQ_B2C_2018/LAZ/ 2. Breaklines, reports, and metadata from this USGS site: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/WA_FEMAHQ_2018_D18/WA_FEMAHQ_B1_QL2_2018/ ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/WA_FEMAHQ_2018_D18/WA_FEMAHQ_B2A_2018/ ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/WA_FEMAHQ_2018_D18/WA_FEMAHQ_B2B_2018/ ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/WA_FEMAHQ_2018_D18/WA_FEMAHQ_B2C_2018/ The lidar point files were processed to the Data Access Viewer (DAV) and https. The total number of laz files downloaded and processed was 14,551. The breakline data are available for download at the link provided in the URL section of this metadata record. Please note that these products have not been reviewed by the NOAA Office for Coastal Management (OCM) and any conclusions drawn from the analysis of this information are not the responsibility of NOAA or OCM. 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 the lidar data was to produce a high accuracy 3D dataset that meets all necessary standards laid out by the Washington FEMA HQ Lidar contract. The raw lidar point cloud data were used to create classified lidar LAS files, intensity images, hydro-flattened DEMs, 3D breaklines of rivers and lakes, and bridges within the study area. Quantum Spatial, 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 2026-04-28 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 https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9211/supplemental/wa2018_fema_ql2_m9211.kmz This graphic displays the footprint for this lidar data set. KML EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION theme Global Change Master Directory (GCMD) Science Keywords 17.0 CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > WASHINGTON VERTICAL LOCATION > LAND SURFACE 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 Airplane > Airplane platform Global Change Master Directory (GCMD) Platform Keywords 17.2 3DEP QL2 erosion theme Continent > North America > United States Of America > Washington > Clark County Continent > North America > United States Of America > Washington > Cowlitz County Continent > North America > United States Of America > Washington > Klickitat County Continent > North America > United States Of America > Washington > Skamania County Continent > North America > United States Of America > Washington > Whitman County place Lidar - partner (no harvest) project InPort otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2026-04-28 from the NOAA system. Cite As: OCM Partners, [Date of Access]: 2018 - 2019 USGS Lidar: Washington FEMA QL2 [Data Date Range], https://www.fisheries.noaa.gov/inport/item/63373. 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 2026-04-28 from the NOAA system. Access Constraints: None otherRestrictions This data set was compiled dynamically. It will be removed 10 days after 2026-04-28 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 2026-04-28 from the NOAA system. Distribution Liability: Any conclusions drawn from the analysis of this information are not the responsibility of Quantum Spatial, Inc., FEMA, USDA, USGS, NOAA, the Office for Coastal Management or its partners. unclassified 2018 USGS Lidar: Washington FEMA QL1 NOAA/NMFS/EDM 63378 crossReference NOAA Data Management Plan (DMP) NOAA/NMFS/EDM 63373 https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/63373.pdf WWW:LINK-1.0-http--link NOAA Data Management Plan (DMP) NOAA Data Management Plan for this record on InPort. information crossReference vector .7 eng; US elevation Waypoint Inertial Explorer 8.7, Leica Cloudpro 1.2.4, Microstation Version 10.0, TerraScan Version 19, TerraModeler Version 19, TerraMatch Version 19, ESRI ArcGIS 10.3.1, LasMonkey 2.4.1 (Proprietary), Las Product Creator 3.1 (Proprietary), Windows 7 Operating System -123.225303 -117.023236 45.537668 47.269951 | Currentness: Ground Condition 2018-08-05 2019-05-06 USGS Contract No. G16PC00016 CONTRACTOR: Quantum Spatial, Inc. Ground Control Points were acquired and calibrated by Quantum Spatial, Inc. All lidar data acquisition, 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 1.3", "ldrsens" : "Leica ALS80", "ldrmaxnr" : "15", "ldrnps" : "0.71", "ldrdens" : "4", "ldranps" : "0.35", "ldradens" : "8", "ldrfltht" : "1,800", "ldrfltsp" : "110", "ldrscana" : "30", "ldrscanr" : "42", "ldrpulsr" : "300", "ldrpulsd" : "2.5", "ldrpulsw" : "0.75", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "0.22", "ldrswatw" : "965", "ldrswato" : "67", "ldrgeoid" : "Geoid12B" }, "ldrinfo" : { "ldrspec" : "U.S. Geological Survey National Geospatial Program Lidar Base Specification, Version 1.3", "ldrsens" : "Leica ALS80", "ldrmaxnr" : "15", "ldrnps" : "1.00", "ldrdens" : "1", "ldranps" : "0.70", "ldradens" : "2", "ldrfltht" : "2,300", "ldrfltsp" : "125", "ldrscana" : "30", "ldrscanr" : "44", "ldrpulsr" : "245", "ldrpulsd" : "2.5", "ldrpulsw" : "0.75", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "0.22", "ldrswatw" : "1,233", "ldrswato" : "25", "ldrgeoid" : "Geoid12B" }, "ldrinfo" : { "ldrspec" : "U.S. Geological Survey National Geospatial Program Lidar Base Specification, Version 1.3", "ldrsens" : "VQ-1560i", "ldrmaxnr" : "15", "ldrnps" : "1.00", "ldrdens" : "1", "ldranps" : "0.70", "ldradens" : "2", "ldrfltht" : "2,392", "ldrfltsp" : "130", "ldrscana" : "58.5", "ldrscanr" : "68.1", "ldrpulsr" : "700", "ldrpulsd" : "3", "ldrpulsw" : "0.90", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "0.18", "ldrswatw" : "1,145", "ldrswato" : "20", "ldrgeoid" : "Geoid12B" }, "ldraccur" : { "ldrchacc" : "0", "rawnva" : "0", "rawnvan" : "0", "clsnva" : "0", "clsnvan" : "0", "clsvva" : "0", "clsvvan" : "0" }, "lasinfo" : { "lasver" : "1.4", "lasprf" : "6", "laswheld" : "Withheld (ignore) points are identified in these files using the standard LAS Withheld bit.", "lasolap" : "Swath "overage" points are 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" } }} 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=9211/details/9211 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/geoid18/9211/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 Vertical Positional Accuracy For the Washington FEMA 3DEP 2018 survey (which includes the QL1 and QL2 survey areas), 128 ground check points were withheld from the calibration and post processing of the LiDAR point cloud, with resulting non-vegetated vertical accuracy of 0.119 meters as compared to unclassified LAS, and 0.119 meters as compared to the bare earth DEM, with 95% confidence. The NVA RMSE value is 6.1 cm. QSI also assessed absolute accuracy using 4,387 ground control points. Although these points were used in the calibration and post-processing of the LiDAR point cloud, they still provide a good indication of the overall accuracy of the LiDAR dataset. The resulting non-vegetated vertical accuracy was also 0.119 meters as compared to unclassified LAS, and 0.119 meters as compared to the bare earth DEM, with 95% confidence. The NVA RMSE value is 6.1 cm RMSE. QSI also assessed vertical accuracy using Vegetated Vertical Accuracy (VVA) reporting. VVA compares known ground check point data collected over vegetated surfaces using land class descriptions to the digital elevation model generated by the ground classified LiDAR points. For the Washington FEMA 3DEP 2018 survey, 98 vegetated check points were collected, with resulting vegetated vertical accuracy of 0.251 meters as compared to the bare earth DEM, evaluated at the 95th percentile. The VVA RMSE is 12.9 cm. 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 Vertical Accuracy specifications. Conceptual Consistency Classified LAS files were tested by QSI for vertical accuracy. All data is seamless from one tile to the next, no gaps or no data areas. Data collected by QSI, Inc. for USGS. The data were downloaded from the USGS rockyftp site and processed to make the data available for download from the NOAA OCM Data Access Viewer (DAV). 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 Geoid12B 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. 2019-05-06T00:00:00 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 2019-05-06T00:00:00 The NOAA Office for Coastal Management (OCM) downloaded the lidar point data from this USGS site: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/WA_FEMAHQ_2018_D18/WA_FEMAHQ_B1_QL2_2018/LAZ/ ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/WA_FEMAHQ_2018_D18/WA_FEMAHQ_B2A_2018/LAZ/ ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/WA_FEMAHQ_2018_D18/WA_FEMAHQ_B2B_2018/LAZ/ ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/WA_FEMAHQ_2018_D18/WA_FEMAHQ_B2C_2018/LAZ/ The lidar point files were processed to the Data Access Viewer (DAV) and https. The total number of laz files downloaded and processed was 14,551. The data were in UTM Zones 10 (Folders B2A, B2B, B2C) and 11 (Folder B1) (NAD83 2011), meters and NAVD88 (Geoid12B) elevations in meters. The data were classified as: 1 - Unclassified, 2 - Ground, 7 - Low Noise, 9 - Water, 17 - Bridge Decks, 20 - Ignored Ground. OCM processed all classifications of points to the Digital Coast Data Access Viewer (DAV). Classes available on the DAV are: 1, 2, 7, 9, 17, 20. 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 Geoid 12B model, to convert from UTM Zones 10 and 11 (NAD83 2011), meters, to geographic coordinates, to assign the geokeys, to sort the data by gps time, and zip the data to database and to http. 2020-12-11T00:00:00 Office for Coastal Management processor Quantum Spatial, Inc. USGS The dataset has been mosaiced, reprojected, and clipped as needed from the original input files using PDAL and GDAL commands. 2026-04-28NOAA Office for Coastal Managementcoastal.info@noaa.govprocessor