gov.noaa.nmfs.inport:67284 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 2026-08-19T18:33:57 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) EPSG::6360 EPSG::2927 2017 USDA Forest Service Lidar DEM: Olympic National Forest, WA wa2017_olym_forest_dem_m9512_metadata 2017 creation publication NOAA/NMFS/EDM 67284 https://www.fisheries.noaa.gov/inport/item/67284 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information https://lidarportal.dnr.wa.gov/download?ids=1166 WWW:LINK-1.0-http--link Lidar Report Link to the Tetra Tech Technical Lidar Report from the Washington Lidar Portal. 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 No metadata record was provided with the data. This record is populated with information from the Tetra Tech technical report downloaded from the Washington Dept. of Natural Resources Washington Lidar Portal. The technical report is available for download from the link provided in the URL section of this metadata record. Tetra Tech was contracted by the USDA Forest Service, Region 6 to provide high-density airborne LiDAR data and derived mapping products for 2 areas within the Olympic National Forest covering an area of 232 square miles. The LiDAR acquisition took place during 4 flight missions on October 29, 2017 and December 11, 2017, December 13 - 14, 2017. The LiDAR data and derived products will assist in vegetation mapping, road identification and mapping, hydrologic feature delineation and landcover characterization applications. Tetra Tech, USDA Forest Service, Washington Dept. of Natural Resources 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 > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > DIGITAL ELEVATION/TERRAIN MODEL (DEM) 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 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 DEMs - partner (no harvest) project InPort otherRestrictions Cite As: OCM Partners, [Date of Access]: 2017 USDA Forest Service Lidar DEM: Olympic National Forest, WA [Data Date Range], https://www.fisheries.noaa.gov/inport/item/67284. 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 grid eng; US elevation -124.004831 -122.938469 47.314651 48.000119 | Currentness: Ground Condition 2017-10-29 | Currentness: Ground Condition 2017-12-11 | Currentness: Ground Condition 2017-12-13 2017-12-14 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=9512/details/9512 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.us-east-1.amazonaws.com/dem/WA_Olym_For_DEM_2017_9512/index.html WWW:LINK-1.0-http--link Bulk Download Bulk download of data files in GeoTiff format, WA State Plane South NAD83(HARN) US survey feet coordinates and orthometric heights in feet. download dataset Vertical Positional Accuracy Twenty checkpoints were collected within the two areas and were used to assess the absolute accuracy of the data. The LiDAR was compared to these points. The average dZ was - 0.0364 feet with an average RMSE of 0.074 ft (2.3 cm). The NOAA Office for Coastal Management (OCM) downloaded the GeoTiff files from the Washington Lidar Portal. Lidar Acquisition The LiDAR acquisition took place during 4 flight missions on October 29, 2017 and December 11, 2017, December 13 - 14, 2017. Weather conditions during collection were clear and free of cloud/fog, precipitation, and any other weather phenomena which would negatively impact the collection. Collection occurred during leaf-off conditions and with no snow in the area of interest, as to acquire the most accurate ground model possible. 105 flight lines of LiDAR were collected to achieve the required specifications for each area. The LiDAR data was collected using an Riegl LMS-Q1560 and Optech Galaxy T1000 system. For the Q1560 LiDAR acquisition, the nominal flying height was 1400m above ground level (AGL) and flying speed was approximately 145kts. The Galaxy LiDAR acquisition was flown from 975m AGL at a similar flying speed. The scan field of view for the Riegl Q1560 is 29 degrees either side of nadir, for a total scan field of view (FoV) of 58 degrees and scans at a rate of 800 kHz. Due to the nature of the 4-sided rotating mirror in Riegl scanners, only 2/3 pf pulses are recorded (533 kHz usable). The Galaxy acquires a variable FoV (10 - 60 degrees) in order to account for terrain variation, and was operated at a 400 kHz scan rate. The settings on the sensors yield an average pulse density of 4+ pulses per flight line. Acquiring data with double coverage ensures that the desired point density is met. Note that each pulse may result in one or more returned points as the pulse filters through vegetation, etc. Water or highly absorbent material may result in very few or no LiDAR returns as these materials poorly reflect the laser pulse. During the flight, the airborne trajectory was monitored with kinematic AGPS combined with IMU observations. The LiDAR data was combined with the GPS/IMU data to create the raw .las files. These raw files were then calibrated to create a dataset that was then used to create the desired mapping products. GNSS post-processing determines the position and attitude of the aircraft at 200Hz along the entire flight path. This data is logged for the Riegl Q1560 via an Applanix POS AV510 and an Applanix AP60 for the Optech Galaxy. Post-processing requires data from the onboard GNSS and Inertial Measurement Unit (IMU) as well as data from one or more static GNSS base station(s) with known coordinates. Post processing is performed in Applanix PosPAC MMS software. Here the aircraft GNSS / IMU data is referenced to the base station data to provide adjusted positions for the aircraft in latitude, longitude, and height, roll, pitch, and yaw / heading. The final trajectory is then smoothed, and exported in .pos format for use in the LiDAR point cloud extraction. The resulting flight path is commonly referred to as a Smoothed Best Estimate of Trajectory (SBET). In this project location there is a great distribution of 1Hz CORS and WSRN reference stations publicly available. These base stations were combined into an Applanix Smart Base during post-processing to model GNSS corrections over the entire AOI. The result is a high accuracy baseline with reduced dropouts or PDOP spikes due to satellite loss on a single station. Mission planning ensures the project is flown during periods of good satellite visibility, resulting here in an average PDOP of 1.5 and maximum spike to 2.8. Lidar Boresight Prior to acquisition of the project area, a boresight mission was flown over Port Coquitlam, BC in an area with many buildings and other planar objects. The boresight flight consisted of 3 lines in a north-south direction and 3 lines in an east-west direction, with significant overlap between all lines. The boresight data was then calibrated using Riegl's RiProcess software. A quality check was performed using matching tie planes which are calculated automatically and analyzed via a least-squares adjustment. Adjustments to the scanner orientation parameters can then be calculated to minimize residuals between the tie planes. Manual cross section checks were also performed to verify the automatic results. Once deemed properly calibrated, scanner parameters are then carried forward with all subsequent acquisition datasets for the project. Data Calibration The Q1560 LiDAR data was processed through RiProcess in a similar process as with the Boresight. The LAS data is then exported each scan line. All data was projected into the OR_WA Albers projection and adjusted to the proper geoid (GEOID12B) at this time. After export, the Q1560 dataset was combined with the Optech data. The project was then examined for relative and absolute accuracy within each flight and mission‐to‐mission. Control points measured by CompassData Inc. were provided to Eagle Mapping to aid with quality assessment. Flight lines which overlapped these control points were then examined in detail to identify systematic positioning errors which could be compensated for with further processing. A slight vertical bias was identified in the datasets acquired by both scanners, so these datasets were shifted vertically to better fit the ground control points. Q1560 data was shifted by ‐0.106m and Galaxy L1000 data was shifted by +0.259m. These offsets can be attributed to biases in the system boresight and/or lever arm values, and are easily corrected for. Once the QA of the collected LiDAR was complete, classification of the LiDAR began. An automated ground classification filter was developed using TerraScan software, and applied to the LiDAR data. After the automated filter was run, a manual QC was conducted to review of all of LiDAR within the area of interest. Special attention was used in both the automation and manual classification to ensure that the ground was classified correctly due to the density of the low vegetation. The LiDAR was classified into: 1 - Unclassified 2 - Ground 7 - Low Point 18 - High Noise Once the review of the classified LiDAR was complete, DTMs and DSMs were created. The DTMs were created using the ground classified LiDAR. The DSMs were created using first and only return LiDAR points. In addition, intensity Images were generated from the LiDAR dataset. The NOAA Office for Coastal Management (OCM) downloaded 21 raster DEM files in GeoTiff format from the Washington Lidar Portal. The data were in Washington State Plane South NAD83(HARN), US survey feet coordinates and NAVD88 (Geoid12A) elevations in feet. The bare earth raster files were at a 3 feet grid spacing. No metadata record was provided with the data. This record is populated with information from the Tetra Tech technical report downloaded from the Washington Dept. of Natural Resources Washington Lidar Portal. OCM performed the following processing on the data for Digital Coast storage and provisioning purposes: 1. Used an internal script to assign the EPSG codes (Horizontal EPSG: 2927 and Vertical EPSG: 6360) to the GeoTiff formatted files. 2. Copied the files to https. 2022-05-23T00:00:00 Office for Coastal Management processor Washington Dept of Natural Resources Washington Dept of Natural Resources https://lidarportal.dnr.wa.gov/ WWW:LINK-1.0-http--link Washington Lidar Portal Source Citation URL information originator