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            <gco:CharacterString>No metadata record was provided with the data. This record is populated with information from the Quantum Spatial, Inc. 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.

In September 2018, Quantum Spatial (QSI) was contracted by the Washington Department of Natural Resources (WADNR) to collect Light Detection and Ranging (LiDAR) data in the fall of 2018 for the Chelan site in central Washington. Data were collected to aid WADNR in assessing the topographic and geophysical properties of the study area to support natural resources planning and management for Chelan County, Washington. A total of 335,876 acres of 8 pulses per square meter LIDAR were acquired between 10/18/2018 and 10/27/2018. .

In addition to these the lidar point data, bare earth Digital Elevation Model (DEM) data, created from the points, are also available. These data are available for download at the link provided in the URL section of this metadata record.
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.
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			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 2026-06-12 at https://coast.noaa.gov/dataviewer.
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For the Chelan survey, 31 ground check points were withheld from the calibration and post processing of the LiDAR point cloud, with resulting nonvegetated vertical accuracy (NVA) of 0.309 feet (0.094 meters) as compared to unclassified LAS, and 0.262 feet (0.080 meters) as compared to the bare earth DEM, with 95% confidence. The NVA RMSe compared to unclassified LAS = 0.048m, while the NVA RMSe compared to bare earth DEM = 0.041m.

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Resolve GNSS kinematic corrections for aircraft position data using kinematic aircraft GNSS (collected at 2Hz) and IMU (collected at 200Hz) data with Trimble CenterPoint PP-RTX methodologies. Used POSGNSS, PosPac MMS

Develop a smoothed best estimate of trajectory (SBET) file that blends post-processed aircraft position with attitude data. Sensor heading, position, and attitude are calculated throughout the survey. Used POSGNSS, PosPac MMS

Calculate laser point position by associating SBET position to each laser point return time, with offsets relative to scan angle, intensity, etc. This process creates the raw laser point cloud data for the entire survey in *.las (ASPRS v 1.2) format, in which each point maintains the corresponding scan angle, return number (echo), intensity, and x, y, z information. These data are converted to orthometric elevation (NAVD88 &amp; NGVD29) by applying a Geoid correction. Used RiProcess and RiWorld

Test relative accuracy using ground classified points per each flight line. Perform automated line-to-line calibrations for system attitude parameters (pitch, roll, heading), mirror flex (scale), and GNSS/IMU drift. Calibrations are performed on ground classified points from paired flight lines. Every flight line is used for relative accuracy calibration. Used TerraMatch, TerraScan,  QSI Proprietary Software

Assess NVA via direct comparisons of ground classified points to ground RTK survey data. Point classifications are assigned for features of interest via a combination of QSI custom algorithms and manual inspection. Used TerraScan, TerraMatch, Trimble Business Center</gco:CharacterString>
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               <gmd:processStep>
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                     <gmd:description>
                        <gco:CharacterString>The NOAA Office for Coastal Management (OCM) downloaded 1387 lidar point files in LAZ format from the Washington Lidar Portal. The data were in Washington State Plane South NAD83(HARN), US survey feet coordinates and NAVD88 (Geoid12B) elevations in feet. The data had the following point classifications: 1 - Unclassified, 2 - Ground, 7 - Noise,  9 - Water, 17 - Bridge Deck,  21 - Snow.      

No metadata record was provided with the data. This record is populated with information from the Quantum Geospatial, Inc. technical report downloaded from the Washington Dept. of Natural Resources Washington Lidar Portal. That report is linked within this metadata record, please see it for additional information.

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 Geoid12b model, to convert from Washington State Plane South (NAD83 2011), US survey feet coordinates to geographic coordinates, to convert from elevations in feet to meters, to assign the geokeys, to sort the data by gps time and zip the data to database and to the Amazon s3 bucket.</gco:CharacterString>
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                        <gco:DateTime>2022-06-06T00:00:00</gco:DateTime>
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                     <gmd:processor>
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                              <gmx:Anchor xlink:title="https://ror.org/05v14bq57">Office for Coastal Management</gmx:Anchor>
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                              <gco:CharacterString>Washington Dept of Natural Resources</gco:CharacterString>
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                           <gmd:date gco:nilReason="missing"/>
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                                    <gco:CharacterString>Washington Dept of Natural Resources</gco:CharacterString>
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                                                <gmd:URL>https://lidarportal.dnr.wa.gov/</gmd:URL>
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                                                <gco:CharacterString>Washington Lidar Portal</gco:CharacterString>
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                            The dataset has been mosaiced, reprojected, and clipped as needed from the original input files using PDAL and GDAL commands.
                        </gco:CharacterString></gmd:description><gmd:dateTime><gco:DateTime>2026-06-12</gco:DateTime></gmd:dateTime><gmd:processor><gmd:CI_ResponsibleParty><gmd:individualName><gco:CharacterString>NOAA Office for Coastal Management</gco:CharacterString></gmd:individualName><gmd:contactInfo><gmd:CI_Contact><gmd:address><gmd:CI_Address><gmd:electronicMailAddress><gco:CharacterString>coastal.info@noaa.gov</gco:CharacterString></gmd:electronicMailAddress></gmd:CI_Address></gmd:address></gmd:CI_Contact></gmd:contactInfo><gmd:role><gmd:CI_RoleCode codeList="https://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#gmd:CI_RoleCode" codeListValue="processor">processor</gmd:CI_RoleCode></gmd:role></gmd:CI_ResponsibleParty></gmd:processor></gmd:LI_ProcessStep></gmd:processStep></gmd:LI_Lineage>
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