Quantum Spatial, Inc. 20190810 PolylineZ Product: Washington FEMA HQ Lidar Bridge Breaklines. The bridge breaklines were used to enforce bridges inside the project area. Geographic Extent: This dataset and derived products encompass Olympic Peninsula Area 2, an approximately 1,547 square mile portion of the Olympic Peninsula 3DEP project area, which covers approximately 5,352 square miles of Western Washington in the Olympic Peninsula region. Dataset Description: RAW flight line swaths were processed to create 3,371 classified LAS 1.4 files delineated in 1/100th USGS Quadrangle tiles. Each LAS file contains LiDAR point information, which has been calibrated, controlled, and classified. Additional derived products include intensity images, hydro-flattened DEMs, highest hit surface models, and 3D breaklines of rivers, lakes, coastlines and bridges within the study area. Tiled deliverables that are split between delivery boundaries have been given an extension of "_[delivery#]" at the end of the file name. For this delivery, tiled deliverables have been given an "_2" extension. Ground Conditions: Acquisition below aircraft free of smoke, fog and cloud cover. Ground Control Points were acquired and calibrated by Quantum Spatial, Inc. 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. 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. Breakline File Type = SHP Breakline Elevation Units = US Survey Feet 20180219 20190425 ground condition Complete None Planned -124.102173 -123.091788 46.989707 46.158130 741333.553725 984074.354003 614976.096937 321004.518215 none breakline remote sensing Elevation data lidar breakline none Washington Olympic Peninsula Pacific County Lewis County Wahkiakum County Grays Harbor County No restrictions apply to these data. None. However, users should be aware that temporal changes may have occurred since this dataset was collected and that some parts of these data may no longer represent actual surface conditions. Users should not use these data for critical applications without a full awareness of its limitations. Acknowledgment of the U.S. Geological Survey would be appreciated for products derived from these data. Data covers the entire area specified for this project. Bridge breaklines were collected and used to enforce bridges where saddling occurred which created an inaccurate ground model. All files are inspected to ensure that they conform to the specified file naming conventions, all files load in their correct geographic position, all files conform to the project specifications for file standard and content. 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. Base_Station_Control, SBETs, SGCPs, RAW_LiDAR 20190425 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. 20190425 Bridge Breakline Creation: Bridge breaklines were manually drawn where required to correct interpolation under bridge surfaces. 20190425 Vector State Plane Coordinate System 1983 4602 45.83333333 47.33333333 -120.5 45.33333333 1640416.667 0 coordinate pair 0.01 0.01 U.S. Survey Feet North American Datum of 1983 (CORS96) defined (HARN) GRS_1980 6378137.0 298.257223563 North American Vertical Datum of 1988, Geoid 03 0.01 U.S. Survey Feet Explicit elevation coordinate included with horizontal coordinates 20190810 20190810 Quantum Spatial, Inc. mailing and physical

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Corvallis Order 97330 USA 541-752-1204 FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 None None None Unclassified None None None