Quantum Spatial 20160225 Vector Geographic Extent: This dataset is LiDAR point cloud data and derived products encompassing a 100 meter buffer around an area of interest (AOI) consisting of approximately 553 total square miles near Hells Canyon National Recreational Park and the surrounding areas located in northeast Oregon. RAW flight line swaths were processed to create 1247 classified LAS 1.4 files delineated in 1/100th USGS Quadrangles and named according to the USGS Quadrangle schema. Each LAS file contains LiDAR point information, which has been calibrated, controlled, and classified. Additional derived products include tiled hydro flattened bare earth DEMs (tiled in 1/4 USGS Quandrangles), intensity images (tiled in 1/4 USGS Quandrangles), and hydro-flattening Breaklines in ESRI Shapefile format. Data was collected between 07/04/15 and 07/15/15. Breaklines were created to consistently flatten water bodies within the project area. Bodies of water that were flattened include lakes and other closed water bodies with a surface area greater than 2 acres, all streams and rivers that are nominally wider than 30 meters, all non-tidal waters bordering the project, and select smaller bodies of water as feasible. The hydro-flattening process eliminates artifacts in the digital terrain model caused by both increased variability in ranges or dropouts in laser returns due to the low reflectivity of water. Breaklines were also used to reclassify all ground classified points within the water's edge boundary to water points in order to omit them from the final ground model and be replaced with the flat water surface of the water’s edge breaklines Acquisition and all subsequent processing was completed by Quantum Spatial. In some areas of heavy vegetation or forest cover, there may be relatively few ground points in the LiDAR data. TINing the points produces large triangles and hence the elevations may be less accurate within such areas. 20150704 20150715 ground condition Complete None planned -118.136995 -116.894580 45.794744 45.241094 1920575.993533 2232336.157728 1483256.376922 1292559.673569 None Elevation data LiDAR Hydrology Light Detection and Ranging Topography Bare Earth Bare Earth Hydroflattened Breaklines DEM Digital Elevation Model None Wallowa County United States Oregon Grande Ronde Wallowa Enterprise No restrictions apply to this 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. Quantum Spatial Cathy Power mailing and physical

215 SW 2nd St., Suite 400

Corvallis OR 97333 USA 541-752-1204 cpower@quantumspatial.com Monday through Friday 8:30 AM to 5:00 PM (Pacific Standard Time) If unable to reach the contact by telephone, please send an email. Waypoint Inertial Explorer v.8.5 ; Trimble Business Center v.3.00; Geographic Calculator 2013; IPAS TC v.3.1; ALS Post Processing Software v.2.74; TerraScan v.15; TerraMatch v.15; TerraModeler v.15; ArcMap v.10.1; Ecognition v.8.9, Windows 7 Operating System Lakes were assigned a consistent elevation for an entire polygon while the river was assigned consistent elevations on opposing banks and smoothed to ensure downstream flow through the entire river channel. Per contract specifications, lakes and other closed water bodies with a surface area greater than 2 acres, all streams and rivers that are nominally wider than 30 meters, all non-tidal waters bordering the project were flattened. The vertical accuracy of the LiDAR data was assessed using ground control quality check points located in open terrain. Ground control quality check points (QCPs) were distributed throughout the AOI as feasible given ground access constraints. Specifications for this project require that the NVA be 17.6 cm or better AccuracyZ at 95 percent confidence level. 0.073 Accuracy was assessed using 137 ground survey RTK (real time kinematic) points. The RMSE was computed to be 0.037 meters. AccuracyZ has been tested to meet 17.6 cm Fundamental Vertical Accuracy at 95 Percent confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines. Quantum Spatial 20160225 vector digital and tabular data Corvallis, OR Quantum Spatial hard drive 20160225 publication date Wallowa_Base_Station_Control This data source was used (along with the airborne GPS/IMU data) to georeference the LiDAR point cloud data. Quantum Spatial 20160225 vector digital and tabular data Corvallis, OR Quantum Spatial hard drive 20160225 publication date Wallowa_SBETs This data source was used (along with base station control data) to georeference the LiDAR point cloud data. Quantum Spatial 20160225 vector digital and tabular data Corvallis, OR Quantum Spatial hard drive 20160225 publication date Wallowa_SGCPs This data source was used to refine airborne GPS positional accuracy during the calibration process. Quantum Spatial 20160225 vector digital and tabular data Corvallis, OR Quantum Spatial hard drive 20160225 publication date Wallowa_QCPs This data source was used to assess the accuracy of LiDAR point cloud data. Quantum Spatial 20160225 LiDAR data Corvallis 20160225 hard drive 20150704 20150715 ground condition Wallowa_RAW_LiDAR This data source was used to populate the LiDAR point cloud data. 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 geoid03 correction. 5. Import raw laser points into manageable blocks (less than 500 MB) 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. Wallowa_Base_Station_Control, Wallowa_SBETs, Wallowa_SGCPs, Wallowa_RAW_LiDAR 20160225 Quantum Spatial mailing and physical

517 SW 2nd Street, Suite 400

Corvallis OR 97333 USA 541-752-1204 541-752-3770 Monday through Friday 8:30 AM to 5:00 PM (Pacific Standard Time) 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 using ground control quality check points. Wallowa_Base_Station_Control, Wallowa_SBETs, Wallowa_QCPs, Wallowa_RAW_LiDAR 2015 Wallowa_LiDAR_2015 Quantum Spatial mailing and physical

517 SW 2nd Street, Suite 400

Corvallis OR 97333 USA 541-752-1204 541-752-3770 Monday through Friday 8:30 AM to 5:00 PM (Pacific Standard Time) Hydroflattening Breaklines and Hydroflattened DEM creation: Water boundary polygons were developed using an algorithm which weights LiDAR-derived slopes, intensities, and return densities to detect the water's edge. The water's edge was then manually reviewed and edited as necessary. Elevations were assigned to the water’s edge through neighborhood statistics identifying the lowest LiDAR return from the water surface. Lakes were assigned a consistent elevation for an entire polygon while rivers were assigned consistent elevations on opposing banks and smoothed to ensure downstream flow through the entire river channel. These breaklines were incorporated into the hydro-flattened DEM and contours by enforcing triangle edges (adjacent to the breakline) to the elevation values derived from the breakline. This implementation corrected interpolation along the hard edge. Breaklines were also used to classify all ground points within the identified water bodies to class 9 (water). Wallowa_LiDAR_2015 2015 Hydroflattening Breaklines, Hydroflattened DEM Quantum Spatial mailing and physical

517 SW 2nd St., Suite 400

Corvallis OR 97333 USA 541-752-1204 541-752-3770 Monday through Friday 8:30 AM to 5:00 PM (Pacific Standard Time) Vector State Plane Coordinate System 1983 3601 43.0 -120.5 41.75 1312335.958005249 0.0 coordinate pair 0.01 0.01 international feet North American Datum of 1983 GRS_1980 6378137.0 298.257222101 North American Vertical Datum of 1988 0.01 international feet Explicit elevation coordinate included with horizontal coordinates 20160225 20160225 Quantum Spatial mailing and physical

517 SW 2nd Street, Suite 400

Corvallis OR 97333 USA 541-752-1204 541-752-3770 Monday through Friday 8:30 AM to 5:00 PM (Pacific Standard Time) If unable to reach the contact by telephone, please send an email. FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 None None None Unclassified None None None