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Horizontal accuracies were not specified in agreement since true horizontal accuracy is regarded as a product of the lidar ground foot print. Lidar is referenced to co-acquired GPS base station data that has accuracies far greater than the value of the lidar foot print. The ground footprint is equal to 1/3333rd of above ground flying height. Survey altitude for this acquisition was targeted at 900 meters yielding a ground foot print of 0.27 meters. This value exceeds the typical accuracy value of ground control used to reference the lidar data (&lt;0.01m). Project specifications require the lidar foot print to fall within 0.15 and 0.40 meters. DOGAMI was able to test the horizontal accuracy of survey monuments used to reference the lidar data while conducting vertical control measurements. For internal purposes only, the XY coordinates of survey monuments surveyed by DOGAMI were compared to the survey monuments provided by the vender and in almost every case, the reported results were consistent with those obtained by DOGAMI staff.</gco:CharacterString>
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FVA accuracy reporting is designed to meet guidelines presented in the National Standard for Spatial Data Accuracy (NSSDA) (FGDC, 1998). FVA compares known RTK ground survey points to the closest laser point. FVA uses ground control points in open areas where the LiDAR system has a “very high probability” that the sensor will measure the ground surface and is evaluated at the 95% percentile of RMSEZ. For the Union Baker Study Area, 4,193 RTK points were collected.
For this project, no independent survey data were collected, nor were reserved points collected for testing. As such, vertical accuracy statistics are reported as “Compiled to Meet,” in accordance with the ASPRS Guidelines for Vertical Accuracy Reporting for LiDAR Data V1.0 (ASPRS, 2004). Fundamental Vertical accuracy for the entire study area is 9 cm (4 cm RMSE).

DOGAMI Vertical Accuracy for Delivery 1:
Vertical accuracy analysis consisted of differencing control data and the delivered lidar Digital Elevation Models (DEM) to expose offsets. These offsets were used to produce a mean vertical error and vertical RMSE value for the entire delivered data set. Project specifications list the maximum acceptable mean vertical offset to be 0.20 meters (0.65 feet). A total of 159 measured GCP’s were obtained in the Delivery 1 region and compared
with the lidar elevation grids. The data delivered to DOGAMI was found to have a mean vertical offset of -0.038 meters (-0.126 feet) and an RMSE value of 0.053 meters (0.173 ft). Offset values ranged from -0.103 to 0.059 meters.

DOGAMI Vertical Accuracy for Delivery 2:
Vertical accuracy analysis consisted of differencing control data and the delivered lidar Digital Elevation Models (DEM) to expose offsets. These offsets were used to produce a mean vertical error and vertical RMSE value for the entire delivered data set. Project specifications list the maximum acceptable mean vertical offset to be 0.20 meters (0.65 feet). A total of 8025 measured GCP’s were obtained in the Delivery 2 region and compared with the lidar elevation grids. The data delivered to DOGAMI was found to have a mean vertical offset of -0.050 meters (-0.164 feet) and an RMSE value of 0.070 meters (0.231 ft). Offset values ranged from -0.288 to 0.176 meters.</gco:CharacterString>
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               <gmd:result gco:nilReason="missing"/>
            </gmd:DQ_AbsoluteExternalPositionalAccuracy>
         </gmd:report>
         <gmd:lineage>
            <gmd:LI_Lineage>
               <gmd:statement>
                  <gco:CharacterString>Watershed Sciences, LLC collected Light Detection and Ranging (LIDAR) data in the Union Baker project area for DOGAMI. NOAA OCM received the data and ingested it into the Digital Coast Data Access Viewer for distribution.</gco:CharacterString>
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               <gmd:processStep>
                  <gmd:LI_ProcessStep>
                     <gmd:description>
                        <gco:CharacterString>The LiDAR survey utilized Leica ALS50, ALS60 and ALS70 sensors mounted in Cessna Caravan 208B and Partenavia P.38 aircrafts. The systems were set to acquire ≥105,000 laser pulses per second (i.e. 105 kHz pulse rate) and flown at 900 and 1400 meters above ground level (AGL), capturing a scan angle of ±14o from nadir1. These settings are developed to yield points with an average native density of ≥8 points per square meter over terrestrial surfaces. The native pulse density is the number of pulses emitted by the LiDAR system. Some types of surfaces (i.e. dense vegetation or water) may return fewer pulses than the laser originally emitted. Therefore, the delivered density can be less than the native density and lightly variable according to distributions of terrain, land cover and water bodies.

The study area was surveyed with opposing flight line side-lap of ≥60% (≥100% overlap) to reduce laser shadowing and increase surface laser painting. The system allows up to four range measurements per pulse, and all discernable laser returns were processed for the output dataset.

To solve for laser point position, it is vital to have an accurate description of aircraft position and attitude. Aircraft position is described as x, y and z and measured twice per second (2 Hz) by an onboard differential GPS unit. Aircraft attitude is measured 200 times per second (200 Hz) as pitch, roll and yaw (heading) from an onboard inertial measurement unit (IMU).

Owing to late seasonal snowpack and contractual deadline restrictions, LiDAR acquisition took place with snow on the ground in upper elevations of the Union Baker survey area, with the approval of DoGAMI. While the presence of an impermanent surface (e.g. snow, water, dunes) can influence data calibration and relative accuracy, the overall calibration statistics for the present data are excellent (see page 13, mean relative accuracy 4 cm; 1σ 5 cm).
WSI’s overall assessment of the data is that it is robust and sufficient for analytical applications as long as the user is aware of the presence of snow in isolated areas.</gco:CharacterString>
                     </gmd:description>
                     <gmd:dateTime>
                        <gco:DateTime>2012-01-01T00:00:00</gco:DateTime>
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               </gmd:processStep>
               <gmd:processStep>
                  <gmd:LI_ProcessStep>
                     <gmd:description>
                        <gco:CharacterString>The bare-earth DEMs were created by triangulating all “ground” classified points and inserting 3-D breaklines utilizing TerraSolid’s TerraScan and TerraModeler software. Any ground points within 1 m of the breaklines were reclassified to “ignored-ground” (ASPRS code: 10) before triangulation.</gco:CharacterString>
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                     <gmd:dateTime>
                        <gco:DateTime>2012-01-01T00:00:00</gco:DateTime>
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               </gmd:processStep>
               <gmd:processStep>
                  <gmd:LI_ProcessStep>
                     <gmd:description>
                        <gco:CharacterString>The NOAA Office for Coastal Management (OCM) received 38 bare earth DEM files in ArcGRID format from DOGAMI. The data were in OR Statewide Lambert Conformal Conic (NAD 83 HARN), international feet coordinates and NAVD88 (Geoid03) elevations in feet. The grid spacing was 3 feet. 

OCM performed the following processing for Digital Coast storage and provisioning purposes:
1. Data were converted to GeoTiff format using GDAL 2.4.0 to comply with the open data policy 
2. The horizontal (2994) and vertical (6360) EPSG codes were applied</gco:CharacterString>
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                     <gmd:dateTime>
                        <gco:DateTime>2020-10-05T00:00:00</gco:DateTime>
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